Nebojsa Bacanin

Publications

• Increasing privacy and security by integrating a Blockchain Secure Interface into an IoT Device Security Gateway Architecture
• Energy Efficient Clustering in Wireless Sensor Networks by Opposition-Based Initialization Bat Algorithm
• Chaotic Harris Hawks Optimization with Quasi-Reflection-Based Learning: An Application to Enhance CNN Design
• XGBoost Design by Multi-verse Optimiser: An Application for Network Intrusion Detection
• Feature Selection in Machine Learning by Hybrid Sine Cosine Metaheuristics
• The COVID-19 Images Classification by MobileNetV3 and Enhanced Sine Cosine Metaheuristics
• Convolutional Neural Networks Hyperparameters Optimization Using Sine Cosine Algorithm
• Performance of a Novel Chaotic Firefly Algorithm with Enhanced Exploration for Tackling Global Optimization Problems: Application for Dropout Regularization
• An Improved Animal Migration Optimization Approach for Extreme Learning Machine Tuning
• Sentimental Analysis of COVID-19 Related Messages in Social Networks by Involving an N-Gram Stacked Autoencoder Integrated in an Ensemble Learning Scheme
• Artificial Neural Networks Hidden Unit and Weight Connection Optimization by Quasi-Refection-Based Learning Artificial Bee Colony Algorithm
• Glioma Brain Tumor Grade Classification from MRI Using Convolutional Neural Networks Designed by Modified FA
• A Novel Multiswarm Firefly Algorithm: An Application for Plant Classification
• Enhanced Dragonfly Algorithm Adapted for Wireless Sensor Network Lifetime Optimization
• COVID-19 Pandemic
• Feed-Forward Neural Network Training by Hybrid Bat Algorithm
• A Comprehensive Survey on the Internet of Things with the Industrial Marketplace
• Feature Selection Using Modified Sine Cosine Algorithm with COVID-19 Dataset
• Multi-objective Task Scheduling in Cloud Computing Environment by Hybridized Bat Algorithm
• Hybrid multi agent optimization for optimal battery storage using micro grid
• Support Vector Machine Performance Improvements for Cryptocurrency Value Forecasting by Enhanced Sine Cosine Algorithm
• IoT as a Backbone of Intelligent Homestead Automation
• Call for Special Issue Papers: Sustainable Solutions for Internet of Things Using Artificial Intelligence and Blockchain in Future Networks
• Training a Multilayer Perception for Modeling Stock Price Index Predictions Using Modified Whale Optimization Algorithm
• Improved Fitness-Dependent Optimizer for Solving Economic Load Dispatch Problem
• Tuning Machine Learning Models Using a Group Search Firefly Algorithm for Credit Card Fraud Detection
• Feature Selection by Hybrid Brain Storm Optimization Algorithm for COVID-19 Classification
• Novel Harris Hawks Optimization and Deep Neural Network Approach for Intrusion Detection
• Hybrid Fruit-Fly Optimization Algorithm with K-Means for Text Document Clustering
• Energy efficient offloading mechanism using particle swarm optimization in 5G enabled edge nodes
• Multi-Swarm Algorithm for Extreme Learning Machine Optimization
• COVID-19 cases prediction by using hybrid machine learning and beetle antennae search approach
• The XGBoost Model for Network Intrusion Detection Boosted by Enhanced Sine Cosine Algorithm
• Multi-layer Perceptron Training Using Hybridized Bat Algorithm
• XGBoost Hyperparameters Tuning by Fitness-Dependent Optimizer for Network Intrusion Detection
• Improved Harris Hawks Optimization Algorithm for Workflow Scheduling Challenge in Cloud–Edge Environment
• Hybrid Genetic Algorithm and Machine Learning Method for COVID-19 Cases Prediction
• Optimized convolutional neural network by firefly algorithm for magnetic resonance image classification of glioma brain tumor grade
• Artificial Flora Optimization Algorithm with Genetically Guided Operators for Feature Selection and Neural Network Training
• An Efficient Gabor Walsh-Hadamard Transform Based Approach for Retrieving Brain Tumor Images From MRI
• Dimensionality Reduction Using Hybrid Brainstorm Optimization Algorithm
• Enhanced Seagull Optimization Algorithm Adapted for Artificial Neural Network Training
• Improved Harris Hawks Optimization Adapted for Artificial Neural Network Training
• A Novel Method for COVID-19 Pandemic Information Fake News Detection Based on the Arithmetic Optimization Algorithm
• Novel Improved Salp Swarm Algorithm: An Application for Feature Selection
• Wireless Sensor Networks Localization by Improved Whale Optimization Algorithm
• Novel Algorithms for Graph Clustering Applied to Human Activities
• Performance Analysis of the Fireworks Algorithm Versions
• Convolutional Neural Networks Hyperparameters Tuning
• Weight Optimization in Artificial Neural Network Training by Improved Monarch Butterfly Algorithm
• Optimizing Convolutional Neural Network Hyperparameters by Enhanced Swarm Intelligence Metaheuristics
• Monarch Butterfly Optimization Based Convolutional Neural Network Design
• Whale Optimization Algorithm with Exploratory Move for Wireless Sensor Networks Localization
• Cloudlet Scheduling by Hybridized Monarch Butterfly Optimization Algorithm
• An Improved Simulation Model for Pedestrian Crowd Evacuation
• Constrained portfolio selection using Artificial Bee Colony (ABC) algorithm
• Modified artificial bee colony algorithm for constrained problems optimization
• Artificial bee colony (ABC) algorithm for constrained optimization improved with genetic operators
• Krill Herd (KH) algorithm applied to the constrained portfolio selection problem
• An efficient WLS estimator for target localization in wireless sensor networks
• Enhanced Artificial Bee Colony algorithm performance
• Firefly algorithm for cardinality constrained mean-variance portfolio optimization problem with entropy diversity constraint
• Hybridized bat algorithm for multi-objective radio frequency identification (RFID) network planning
• Multilevel image thresholding by fireworks algorithm
• Constrained Portfolio Optimization by Hybridized Bat Algorithm
• Hybridized krill herd algorithm for large-scale optimization problems
• Performance of Elephant Herding Optimization and Tree Growth Algorithm Adapted for Node Localization in Wireless Sensor Networks
• Adjusted artificial bee colony (ABC) algorithm for engineering problems
• Framework for constrained portfolio selection by the firefly algorithm
• Upgraded firefly algorithm for portfolio optimization problem
• Firefly algorithm for multi-objective RFID network planning problem
• Multithreaded implementation and performance of a modified artificial fish swarm algorithm for unconstrained optimization
• Performance of object-oriented software system for improved artificial bee colony optimization
• An object-oriented software implementation of a modified artificial bee colony (ABC) algorithm
• Implementation and performance of an object-oriented software system for cuckoo search algorithm
• An object-oriented software implementation of a novel cuckoo search algorithm
• Guided artificial bee colony algorithm
• MAP estimator for target tracking in wireless sensor networks for unknown transmit power
• Fireworks algorithm for RFID network planning problem
• Hierarchical multiobjective RFID network planning using firefly algorithm
• Artificial bee colony algorithm hybridized with firefly algorithm for cardinality constrained mean-variance portfolio selection problem
• RFID Network Planning by ABC Algorithm Hybridized with Heuristic for Initial Number and Locations of Readers
• An algorithm for handwritten digit recognition using projection histograms and SVM classifier
• Multiobjective RFID network planning by artificial bee colony algorithm with genetic operators
• Improved seeker optimization algorithm hybridized with firefly algorithm for constrained optimization problems
• JPEG quantization tables selection by the firefly algorithm
• Cuckoo search and bat algorithm applied to training feed-forward neural networks
• Fireworks algorithm applied to constrained portfolio optimization problem
• Resource Scheduling in Cloud Computing Based on a Hybridized Whale Optimization Algorithm
• Hybrid Elephant Herding Optimization Approach for Cloud Computing Load Scheduling
• Application of Machine Learning to Express Measurement Uncertainty
• Firefly Algorithm and Deep Neural Network Approach for Intrusion Detection
• Novel Chaotic Best Firefly Algorithm: COVID-19 Fake News Detection Application
• Novel chaotic oppositional fruit fly optimization algorithm for feature selection applied on COVID 19 patients’ health prediction
• Training Logistic Regression Model by Enhanced Moth Flame Optimizer for Spam Email Classification
• Application of Natural Language Processing and Machine Learning Boosted with Swarm Intelligence for Spam Email Filtering
• Multi-Step Crude Oil Price Prediction Based on LSTM Approach Tuned by Salp Swarm Algorithm with Disputation Operator
• COVID-19 Fake News Detection by Improved Ant Lion Optimizer Metaheuristics
• Hybrid CNN and XGBoost Model Tuned by Modified Arithmetic Optimization Algorithm for COVID-19 Early Diagnostics from X-ray Images
• Sine Cosine Algorithm with Tangent Search for Neural Networks Dropout Regularization
• Artificial Intelligence and Blockchain Technology Enabling Sustainable and Smart Infrastructure
• Fitness Dependent Optimizer with Neural Networks for COVID-19 patients
• The Explainable Potential of Coupling Metaheuristics- Optimized-XGBoost and SHAP in Revealing VOCs’ Environmental Fate
• Enhanced Salp Swarm Algorithm for Feature Selection
• On the Benefits of Using Metaheuristics in the Hyperparameter Tuning of Deep Learning Models for Energy Load Forecasting
• Bimodal HAR-An Efficient Approach to Human Activity Analysis and Recognition Using Bimodal Hybrid Classifiers
• Training Logistic Regression Model by Hybridized Multi-verse Optimizer for Spam Email Classification
• A novel firefly algorithm approach for efficient feature selection with COVID-19 dataset
• Multi-objective task scheduling in cloud computing environment by hybridized bat algorithm
• Modified firefly algorithm for workflow scheduling in cloud-edge environment
• Using Fitness Dependent Optimizer for Training Multi-layer Perceptron
• DWFH: An improved data-driven deep weather forecasting hybrid model using Transductive Long Short Term Memory (T-LSTM)
• Diabetes Prediction Algorithm Using Recursive Ridge Regression L2
• Hybrid GLFIL Enhancement and Encoder Animal Migration Classification for Breast Cancer Detection
• Training Multi-Layer Perceptron with Enhanced Brain Storm Optimization Metaheuristics
• Mobile Fog Computing by Using SDN/NFV on 5G Edge Nodes
• Improved Fitness Dependent Optimizer for Solving Economic Load Dispatch Problem
• COVID-19 Severity Prediction Using Enhanced Whale with Salp Swarm Feature Classification
• A Chaotic Oppositional Whale Optimisation Algorithm with Firefly Search for Medical Diagnostics
• Examining Mental Suffering of People Due to Coronavirus Pandemic Using Artificial Intelligence
• Evaluation of deepfake detection using YOLO with local binary pattern histogram
• Feature Selection Using Grey Wolf Optimization with Random Differential Grouping
• Acute Lymphoblastic Leukemia Detection by Tuned Convolutional Neural Network
• Federated Learning-Based Privacy Preservation with Blockchain Assistance in IoT 5G Heterogeneous Networks
• Protecting Data Mobility in Cloud Networks Using Metadata Security
• Optimizing bag-of-tasks scheduling on cloud data centers using hybrid swarm-intelligence meta-heuristic
• Secure blockchain enabled Cyber- Physical health systems using ensemble convolution neural network classification
• Smart wireless health care system using graph LSTM pollution prediction and dragonfly node localization
• Fitness Dependent Optimizer for IoT Healthcare using Adapted Parameters: A Case Study Implementation
• Harmony search: Current studies and uses on healthcare systems
• Deep learning model for deep fake face recognition and detection
• Kurdish Handwritten character recognition using deep learning techniques
• Hybridized sine cosine algorithm with convolutional neural networks dropout regularization application
• Novel hybrid firefly algorithm: an application to enhance XGBoost tuning for intrusion detection classification
• Classification and Feature Selection Method for Medical Datasets by Brain Storm Optimization Algorithm and Support Vector Machine
• Predictive data regression technique based carbon nanotube biosensor for efficient patient health monitoring system
• Cooperative Clustering Algorithm Based on Brain Storm Optimization and K-Means
• Bare Bones Fireworks Algorithm for the RFID Network Planning Problem
• Enhanced Grey Wolf Algorithm for Energy Efficient Wireless Sensor Networks
• An Enhanced Green Cloud Based Queue Management (GCQM) System to Optimize Energy Consumption in Mobile Edge Computing
• A new K-means gray wolf algorithm for engineering problems
• A survey on dragonfly algorithm and its applications in engineering
• On Hybrid RSS/TOA Target Localization in NLOS Environments
• Wireless Sensor Network Localization Problem by Hybridized Moth Search Algorithm
• Water Cycle Algorithm for Solving Continuous p-Median Problem
• Effective Tensor Based PCA Machine Learning Techniques for Glaucoma Detection and ASPP - EffUnet Classification
• Semantic Segmentation for Corrosion Detection in Archaeological Artefacts before Restoration
• A New K means Grey Wolf Algorithm for Engineering Problems
• Feature Selection by Hybrid Binary Ant Lion Optimizer with COVID-19 dataset
• Modified Monarch Butterfly Optimization Algorithm for RFID Network Planning
• Monarch Butterfly Optimization Algorithm for Localization in Wireless Sensor Networks
• Case Study of Target Localization Based on Hybrid and Traditional Ranging via RSS and TOA
• Hybridized Elephant Herding Optimization Algorithm for Constrained Optimization
• Rigid Image Registration by Bare Bones Fireworks Algorithm
• Elephant Herding Optimization Algorithm for Wireless Sensor Network Localization Problem
• Mobile Robot Path Planning by Improved Brain Storm Optimization Algorithm
• Hybridized Artificial Bee Colony Algorithm for Constrained Portfolio Optimization Problem
• Artificial Flora Optimization Algorithm for Task Scheduling in Cloud Computing Environment
• Analysis of local binary pattern for emphysema classification in lung CT image
• Task Scheduling in Cloud Computing Environment by Grey Wolf Optimizer
• Convolutional Neural Network Architecture Design by the Tree Growth Algorithm Framework
• Dynamic Search Tree Growth Algorithm for Global Optimization
• Bare Bones Fireworks Algorithm for Feature Selection and SVM Optimization
• Brain Storm Optimization Algorithm for Thermal Image Fusion using DCT Coefficients
• Dynamic Tree Growth Algorithm for Load Scheduling in Cloud Environments
• Optimal Path Planning in Environments with Static Obstacles by Harmony Search Algorithm
• Dropout Probability Estimation in Convolutional Neural Networks by the Enhanced Bat Algorithm
• Speech enhancement through improvised conditional generative adversarial networks
• Speed control and quantum vibration reduction of Brushless DC Motor using FPGA based Dynamic Power Containment Technique
• RSS-AoA-Based Target Localization and Tracking in Wireless Sensor Networks
• Static Drone Placement by Elephant Herding Optimization Algorithm
• Kalman Filter for Target Tracking Using Coupled RSS and AoA Measurements
• Derivation of the State Transition Model
• Target Tracking
• CRB Derivation for RSS-AoA Localization
• An Object-Oriented Software Implementation of a Modified Artificial Bee Colony (ABC) Algorithm
• Target Localization in Adverse Indoor Environments
• Enhanced Firefly Algorithm for Constrained Numerical Optimization
• RSS-AoA-based Target Localization and Tracking in Wireless Sensor Networks Introduction
• Bayesian methodology for target tracking using combined RSS and AoA measurements
• Artificial Bee Colony (ABC) Algorithm for Constrained Optimization Improved with Genetic Operators
• RSS-AoA-based Target Localization and Tracking in Wireless Sensor Networks Preface
• RSS-AoA-based Target Localization
• Conclusions and Future Work
• Forecasting Bitcoin Price by Tuned Long Short Term Memory Model
• Training a Logistic Regression Machine Learning Model for Spam Email Detection Using the Teaching-Learning-Based-Optimization Algorithm
• Intrusion Detection by XGBoost Model Tuned by Improved Social Network Search Algorithm
• Feature Selection and Extreme Learning Machine Tuning by Hybrid Sand Cat Optimization Algorithm for Diabetes Classification
• Metaheuristic-Based Hyperparameter Tuning for Recurrent Deep Learning: Application to the Prediction of Solar Energy Generation
• Tuning XGBoost by Planet Optimization Algorithm: An Application for Diabetes Classification
• Tuned Long Short-Term Memory Model for Ethereum Price Forecasting Through an Arithmetic Optimization Algorithm
• Machine learning tuning by diversity oriented firefly metaheuristics for Industry 4.0
• Quasi-reflection Learning Arithmetic Optimization Algorithm Firefly Search for Feature Selection
• An Alternative Ranking Order Method Accounting for Two-Step Normalization (AROMAN) – A Case Study of the Electric Vehicle Selection Problem
• Potential of Coupling Metaheuristics-Optimized-XGBoost and SHAP in Revealing PAHs Environmental Fate
• Multivariate energy forecasting via metaheuristic tuned long-short term memory and gated recurrent unit neural networks
• Tuned long short-term memory model for Ethereum price forecasting through an arithmetic optimization algorithm
• From Sensors to Safety: Internet of Emergency Services (IoES) for Emergency Response and Disaster Management
• Tuning Extreme Learning Machine by Hybrid Planet Optimization Algorithm for Diabetes Classification
• Performance of Sine Cosine Algorithm for ANN Tuning and Training for IoT Security
• Blockchain-enabled K-harmonic framework for industrial IoT-based systems
• Intelligent diagnosis of coronavirus with computed tomography images using a deep learning model
• Fitness-Dependent Optimizer for IoT Healthcare Using Adapted Parameters: A Case Study Implementation
• Chaotic Binary Ant Lion Optimizer Approach for Feature Selection on Medical Datasets with COVID-19 Case Study
• Deep learning for a swift non-invasive recognition and delineation of corrosive iron compounds present on the surface of unrestored archaeological artefacts
• Tuning Artificial Neural Network for Healthcare 4.0. by Sine Cosine Algorithm
• Robust encrypted face recognition robot based on bit slicing and Fourier transform for cloud environments
• Feature Selection by Hybrid Artificial Bee Colony Algorithm for Intrusion Detection
• Target recognition approach using image local features in rehabilitation robots
• The AdaBoost Approach Tuned by Firefly Metaheuristics for Fraud Detection
• Feature Selection by Improved Sand Cat Swarm Optimizer for Intrusion Detection
• Forecasting Ethereum Price by Tuned Long Short-Term Memory Model
• Performance of Arithmetic Optimization Algorithm for ELM Tuning Applied to IoT security
• Semantic segmentation of fetal heart components in second trimester echocardiography
• Harmony Search: Current Studies and Uses on Healthcare Systems
• Extreme learning machine tuning by original sine cosine algorithm
• Stability Classification of Stock Market Using Temporal Rule-Based Classification
• Support Vector Machine Performance Improvements by Using Sine Cosine Algorithm
• Plant Classification Using Firefly Algorithm and Support Vector Machine
• IoT-WBH - Internet of Things Based Water Bottle for Better Health
• Kurdish Handwritten Character Recognition using Deep Learning Techniques
• An Improved BAT algorithm for solving job scheduling problems in hotels and restaurants
• A new K-means grey wolf algorithm for engineering problems
• An improved simulation model for pedestrian crowd evacuation
• A Survey on Dragonfly Algorithm and its Applications in Engineering
• Feature Selection by Firefly Algorithm with Improved Initialization Strategy
• An Improved BAT Algorithm for Solving Job Scheduling Problems in Hotels and Restaurants
• Enhanced Flower Pollination Algorithm for Task Scheduling in Cloud Computing Environment
• Image Clustering by Generative Adversarial Optimization and Advanced Clustering Criteria
• Current Best Opposition-Based Learning Salp Swarm Algorithm for Global Numerical Optimization
• Wireless Sensor Networks Life Time Optimization Based on the Improved Firefly Algorithm
• Modified and Hybridized Monarch Butterfly Algorithms for Multi-Objective Optimization
• Optimizing Convolutional Neural Network by Hybridized Elephant Herding Optimization Algorithm for Magnetic Resonance Image Classification of Glioma Brain Tumor Grade
• Modified Moth Search Algorithm for Portfolio Optimization
• An improved simulation model for pedestrian crowd evacuation
• Automatically Designing Convolutional Neural Network Architecture with Artificial Flora Algorithm
• RSS-AoA-based target localization and tracking in wireless sensor networks
• Bare bones fireworks algorithm for capacitated p-median problem
• Acute lymphoblastic leukemia cell detection in microscopic digital images based on shape and texture features
• Hybridized moth search algorithm for constrained optimization problems
• Designing convolutional neural network architecture by the firefly algorithm
• Optimizing Long Short-Term Memory by Improved Teacher Learning-Based Optimization for Ethereum Price Forecasting
• Univariate Individual Household Energy Forecasting by Tuned Long Short-Term Memory Network
• Tackling IoT Security Challenge by Metaheuristics Tuned Extreme Learning Machine
• Addressing feature selection and extreme learning machine tuning by diversity-oriented social network search: an application for phishing websites detection
• Addressing Internet of Things security by enhanced sine cosine metaheuristics tuned hybrid machine learning model and results interpretation based on SHAP approach
• IoT Integrated Edge Platform for Secure Industrial Application with Deep Learning
• Improving Phishing Website Detection Using a Hybrid Two-level Framework for Feature Selection and XGBoost Tuning
• Barriers to effective implementation of end-of-life vehicle management in Indonesia
• Software defects prediction by metaheuristics tuned extreme gradient boosting and analysis based on Shapley Additive Explanations
• Marine Vessel Classification and Multivariate Trajectories Forecasting Using Metaheuristics-Optimized eXtreme Gradient Boosting and Recurrent Neural Networks
• Intrusion Detection in Healthcare 4.0 Internet of Things Systems via Metaheuristics Optimized Machine Learning
• Modified Artificial Bee Colony Algorithm for Tuning Simple LSTM for Multivariate Time-Series Forecasting
• Wall segmentation in 2D images using convolutional neural networks
• Oil Price Prediction Approach Using Long Short-Term Memory Network Tuned by Improved Seagull Optimization Algorithm
• Software System for Automatic Grading of Paper Tests
• Gold Prices Forecasting Using Recurrent Neural Network with Attention Tuned by Metaheuristics
• The Long Short-Term Memory Tuning for Multi-step Ahead Wind Energy Forecasting Using Enhanced Sine Cosine Algorithm and Variation Mode Decomposition
• Improving audit opinion prediction accuracy using metaheuristics-tuned XGBoost algorithm with interpretable results through SHAP value analysis
• Computational framework for the evaluation of the composition and degradation state of metal heritage assets by deep learning
• Predicting Credit Card Churn Using Support Vector Machine Tuned by Modified Reptile Search Algorithm
• Modified Teaching-Learning-Based Algorithm Tuned Long Short-Term Memory for Household Energy Consumption Forecasting
• Cloud-load forecasting via decomposition-aided attention recurrent neural network tuned by modified particle swarm optimization
• Employing Tuned VMD-Based Long Short-Term Memory Neural Network for Household Power Consumption Forecast
• Detection of BotNet Using Extreme Learning Machine Tuned by Enhanced Sine Cosine Algorithm
• Enhancing Internet of Things Network Security Using Hybrid CNN and XGBoost Model Tuned via Modified Reptile Search Algorithm
• A single-valued neutrosophic-based methodology for selecting warehouse management software in sustainable logistics systems
• A New FullEX Decision-Making Technique for Criteria Importance Assessment: An Application to the Sustainable Last-Mile Delivery Courier Selection
• Applying Recurrent Neural Networks for Anomaly Detection in Electrocardiogram Sensor Data
• On Using Perceptual Loss within the U-Net Architecture for the Semantic Inpainting of Textile Artefacts with Traditional Motifs
• Diagnostic ability of deep learning in detection of pancreatic tumour
• Distance Learning in Difficult Conditions Due to the Pandemic State of Emergency
• The XGBoost Tuning by Improved Firefly Algorithm for Network Intrusion Detection
• Optimizing machine learning for space weather forecasting and event classification using modified metaheuristics
• Analyzing Information Security Factors in Adoption of Intelligent Technologies for Medical Waste Management Systems
• Gold Price Forecast Using Variational Mode Decomposition-Aided Long Short-Term Model Tuned by Modified Whale Optimization Algorithm
• Multivariate Bitcoin Price Prediction Based on Tuned Bidirectional Long Short-Term Memory Network and Enhanced Reptile Search Algorithm
• Enhancing patient information performance in internet of things-based smart healthcare system: Hybrid artificial intelligence and optimization approaches
• Performance evaluation methodology for gas turbine power plants using graph theory and combinatorics
• Decomposition aided attention-based recurrent neural networks for multistep ahead time-series forecasting of renewable power generation
• Psychometric components of the social acceptance toward end-of-life vehicles policy: A case study of Indonesia
• Performance Evaluation of Metaheuristics-Tuned Deep Neural Networks for HealthCare 4.0
• Decomposition Aided Bidirectional Long-Short-Term Memory Optimized by Hybrid Metaheuristic Applied for Wind Power Forecasting
• Blood supply chain network design with lateral freight: A robust possibilistic optimization model
• A Global Analysis of the Policies and Regulations in Place to Address the Impacts of Climate Change
• Metaheuristic Optimized BiLSTM Univariate Time Series Forecasting of Gold Prices
• Neurodegenerative Condition Detection Using Modified Metaheuristic for Attention Based Recurrent Neural Networks and Extreme Gradient Boosting Tuning
• Improving performance of extreme learning machine for classification challenges by modified firefly algorithm and validation on medical benchmark datasets
• The eXtreme Gradient Boosting Method Optimized by Hybridized Sine Cosine Metaheuristics for Ship Vessel Classification
• Marine Vessel Trajectory Forecasting Using Long Short-Term Memory Neural Networks Optimized via Modified Metaheuristic Algorithm
• XGBoost Tuned by Hybridized SCA Metaheuristics for Intrusion Detection in Healthcare 4.0 IoT Systems
• Metaheuristic Optimized Extreme Gradient Boosting Milling Maintenance Prediction
• Flood Prediction Based on Recurrent Neural Network Time Series Classification Boosted by Modified Metaheuristic Optimization
• Speeding Classification by a Deep Learning Audio Analysis System Optimized by the Reptile Search Algorithm
• Anomaly Detection in Electroencephalography Readings Using Long Short-Term Memory Tuned by Modified Metaheuristic
• Audio analysis speeding detection techniques based on metaheuristic-optimized machine learning models
• A New Method for Detecting the Fatigue Using Automated Deep Learning Techniques for Medical Imaging Applications
• Detecting Parkinson’s disease from shoe-mounted accelerometer sensors using convolutional neural networks optimized with modified metaheuristics
• Respiratory Condition Detection Using Audio Analysis and Convolutional Neural Networks Optimized by Modified Metaheuristics
• Metaheuristic optimized electrocardiography time-series anomaly classification with recurrent and long-short term neural networks
• Aczel Alsina t-norm and t-conorm-based aggregation operators under linguistic interval-valued intuitionistic fuzzy setting with application
• Leveraging Metaheuristic Optimized Machine Learning Classifiers to Determine Employee Satisfaction
• Machine Learning for Company Review Sentiment Analysis Interpretation
• Anomaly detection in electrocardiogram signals using metaheuristic optimized time-series classification with attention incorporated models
• Exploring the potential of combining Mel spectrograms with neural networks optimized by the modified crayfish optimization algorithm for acoustic speed violation identification
• Forecasting bitcoin: Decomposition aided long short-term memory based time series modelling and its explanation with shapley values
• Using BERT with Modified Metaheuristic Optimized XGBoost for Phishing Email Identification
• Rooftop solar potential in micro, small, and medium size enterprises: An insight into renewable energy tapping by decision-making approach
• Solar Flare Classification via Modified Metaheuristic Optimized Extreme Gradient Boosting
• Promoting inclusivity in education amid the post-COVID-19 challenges: An interval-valued fuzzy model for pedagogy method selection
• A novel mathematical approach for modeling the dielectric response surface of the transformer oil to predict the optimized functions of transformers in high-power applications
• Generative Adversarial Networks for Synthetic Training Data Replacement in Phishing Email Detection Using Natural Language Processing
• Employee reviews sentiment classification using BERT encoding and AdaBoost classifier tuned by modified PSO algorithm
• Signals Intelligence Based Drone Detection Using YOLOv8 Models
• Optimizing SQL injection detection using BERT encoding and AdaBoost Classification
• Online harassment detection on online data science platforms optimized by metaheuristic
• Bridging the past and present: AI-driven 3D restoration of degraded artefacts for museum digital display
• Identifying and understanding student dropouts using metaheuristic optimized classifiers and explainable artificial intelligence techniques
• Leveraging Metaheuristic Optimization to Enhance Insider Threat Detection Through Email Content Natural Language Processing
• Investigating the Use of Generative Adversarial Networks for Cybersecurity Dataset Training Data Substitution
• Exploring Metaheuristic Optimized Machine Learning for Software Defect Detection on Natural Language and Classical Datasets
• Crop Yield Forecasting Based on Echo State Network Tuned by Crayfish Optimization Algorithm
• Optimizing long-short-term memory models via metaheuristics for decomposition aided wind energy generation forecasting
• Optimizing long-short term memory neural networks for electroencephalogram anomaly detection using variable neighborhood search with dynamic strategy change
• Elderly and visually impaired indoor activity monitoring based on Wi-Fi and Deep Hybrid convolutional neural network
• Tuning attention based long-short term memory neural networks for Parkinson's disease detection using modified metaheuristics
• Cloud computing load prediction by decomposition reinforced attention long short-term memory network optimized by modified particle swarm optimization algorithm
• Automatic Control of Class Weights in the Semantic Segmentation of Corrosion Compounds on Archaeological Artefacts
• The explainable potential of coupling hybridized metaheuristics, XGBoost, and SHAP in revealing toluene behavior in the atmosphere
• Text Document Clustering Approach by Improved Sine Cosine Algorithm
• Performance evaluation of metaheuristics-tuned recurrent neural networks for electroencephalography anomaly detection
• Personalized Federated Learning Algorithm with Adaptive Clustering for Non-IID IoT Data Incorporating Multi-Task Learning and Neural Network Model Characteristics
• Study on Semantic Inpainting Deep Learning Models for Artefacts with Traditional Motifs
• Deep learning assisted XRF spectra classification
• Blockchain-enabled K-harmonic framework for industrial IoT-based systems (Retraction of Vol 13, art no 1004, 2023)
• Artificial intelligence in advanced manufacturing
• Influence of Manual Inter-Observer Variability for the Performance of Deep Learning Models in Semantic Segmentation
• Multivariate Bitcoin Price Prediction Based on Tuned Bidirectional Long Short-Term Memory Network and Enhanced Reptile Search Algorithm
• Solar flare classification using modified metaheuristic optimized XGBoost
• YOLOv8 Utilization in Occupational Health and Safety
• Generative Adversarial Network for Data Augmentation and Substitution
• Uncovering pathways towards sustainable transportation: Investigating factors influencing societal acceptance of end-of-life vehicle management in Indonesia
• Exploring Metaheuristic Optimized Machine Learning For Software Defect Detection on Natural Language and Classical Datasets
• Insider Threat Detection Form Irregular Login Patterns with Metaheuristic Optimized AdaBoost
• Natural Language Processing and AdaBoost Optimized by Modified Metaheuristic for Online Harassment Detection
• An enhanced CRADIS decision model for optimizing radioactive waste reduction through transmutations based on Disc Spherical Fuzzy information
• Exploring Power Line Arc Detection Using YOLOv8 Computer Vision Models
• Cloud spot instance price forecasting multi-headed models tuned using modified PSO
• Optimized Deep Learning Networks for Accurate Identification of Cancer Cells in Bone Marrow
• Modified Metaheuristics Optimization for Cyberbullying Detection on Online Data Science Platform
• Particle swarm optimization tuned multi-headed long short-term memory networks approach for fuel prices forecasting
• ANN-optimized NR-SHE method for single-sourced, multi-configurable switched capacitor-based multilevel inverter for sustainable power applications
• Exploring Echo State Network for Detection of Gait Freezing in Parkinson’s Patients Optimized Through Modified Metaheuristics
• Parkinson’s Detection From Gait Time Series Classification Using LSTM Tuned by Modified RSA Algorithm
• Audio analysis with convolutional neural networks and boosting algorithms tuned by metaheuristics for respiratory condition classification
• Improving Insider Threat Detection from Irregular Login Patterns with Metaheuristic Optimised AdaBoost
• Optimizing Lightweight Recurrent Networks for Solar Forecasting in TinyML: Modified Metaheuristics and Legal Implications
• Applied Natural Language Processing: User Review Sentiment Classification Optimized by Modified Metaheuristics
• Ensemble RF-KNN Model for Accurate Prediction of Drought Levels
• Intelligent Farm Management Using Artificial Intelligence
• A Halton enhanced solution-based Human Evolutionary Algorithm for complex optimization and advanced feature selection problems
• An Effective Hybrid Metaheuristic Algorithm for Solving Global Optimization Algorithms
• High-performance intelligent systems for real-time medical imaging
• Efficient spam email classification logistic regression model trained by modified social network search algorithm
• An Approach to Optimizing CO2 Emissions in Traffic Control via Reinforcement Learning
• Bridging the Past and Present: Ai-Driven 3d Restoration of Degraded Artefacts for Museum Digital Display
• Forecasting bitcoin: Decomposition aided long short-term memory based time series modeling and its explanation with Shapley values
• Evaluating the performance of metaheuristic-tuned weight agnostic neural networks for crop yield prediction
• Cyberbullying Sexism Harassment Identification by Metaheurustics-Tuned eXtreme Gradient Boosting
• Anomalous EEG Signal Time Series Classification Using Modified Metaheuristic Optimized RNN
• Adversarial Auto-Encoders Based Model for Classification of Speech Dysarthria
• Exploring Pre-Trained Model Potential for Reflective Vest Real Time Detection With YOLOv8 Models
• Extreme Learning Machine Optimization for Employee Satisfaction With Modified Metaheuristic
• Direct Current Motor Malfunction Detection Through Metastatic Optimized Audio Analysis and Classification
• Correction to: Machine learning classification meets migraine: recommendations for study evaluation (The Journal of Headache and Pain, (2024), 25, 1, (215), 10.1186/s10194-024-01924-x)
• Cloud Computing Load Forecasting by Using Bidirectional Long Short-Term Memory Neural Network
• Parkinson’s Disease Detection with Deep Long Short-term Memory Networks Optimized by Modified Metaheuristic Algorithm
• An exploratory review on Internet of Things in healthcare applications
• Decomposition aided cloud load forecasting with optimized long-short term memory networks
• Machine learning classification meets migraine: recommendations for study evaluation
• DTM-CPS: Dynamic trust management mechanism for cyber physical system based on dirichlet reputation system
• Insider Threat Identification from Accessed Website Content Optimized by Modified Metaheuristic
• Comparison of YOLO architectures for face mask detection in images
• Natural Language Processing Approach for Fake News Detection Using Metaheuristics Optimized Extreme Gradient Boosting
• Bi-directional Long Short-term Memory Optimization by Improved Teaching-learning Based Algorithm for Univariate Gold Price Forecasting
• Sentiment classification for insider threat identification using metaheuristic optimized machine learning classifiers
• Intrusion detection using metaheuristic optimization within IoT/IIoT systems and software of autonomous vehicles
• Parkinson's Disease Induced Gain Freezing Detection using Gated Recurrent Units Optimized by Modified Crayfish Optimization Algorithm
• System and method to diagnose conjunctivitis in the eye of a user
• A Comprehensive Review on Various Artificial Intelligence Based Techniques and Approaches for Cyber Security
• Retraction Note: Blockchain-enabled K-harmonic framework for industrial IoT-based systems
• Long short-term memory tuning by enhanced Harris hawks optimization algorithm for crude oil price forecasting
• Insider Threat Detection Using Bidirectional Encoder Representations from Transformers and Optimized AdaBoost Classifier
• Pollen Grain Intensity Identification in the Air using YOLO and RNN: A Review
• Utilizing Generative Adversarial Networks for Medical Data Synthesis and Augmentation to Enhance Model Training
• Anomaly detection in ECG using recurrent networks optimized by modified metaheuristic algorithm
• Performance evaluation of metaheuristics-tuned recurrent networks with VMD decomposition for Amazon sales prediction
• IoT: Applications and case study in smart farming
• Metaheuristic Optimized Extreme Gradient Boosting for Solar Flare Prediction
• Evolving Deep Neural Network Architectures by Sine Cosine Algorithm for Healthcare 4.0
• Optimized recurrent neural networks with attention for wind farm energy generation forecasting
• IESCM: Image Encryption Using Signcryption and Chaotic Maps
• Exploring the Potential of Generative Adversarial Networks for Synthetic Medical Data Generation
• Fitness dependent optimizer with neural networks for COVID-19 patients
• Tuned long short-term memory model for Ethereum price forecasting via an arithmetic optimization algorithm
• Predicting Credit Card Churn: Application of XGBoost Tuned by Modified Sine Cosine Algorithm
• 4 Fitness Dependent Optimizer for IoT Healthcare using Adapted Parameters: A Case Study Implementation
• Tuning Multi-Layer Perceptron by Hybridized Arithmetic Optimization Algorithm for Healthcare 4.0
• Multivariate Bitcoin price prediction based on LSTM tuned by hybrid reptile search algorithm
• Optimized Finite-Time Integral Fast Terminal Sliding Mode Control for Leukemia Cancer Treatment
• Tackling IoT Security Challenge by Metaheuristics Tuned Extreme Learning Machine
• Photovoltaic Farm Production Forecasting: Modified Metaheuristic Optimized Long Short-Term Memory Based Networks Approach
• Utilizing Modified Metaheuristic Optimizers for Computer Vision Optimization in Agriculture
• Two-tier deep and machine learning approach optimized by adaptive multi-population firefly algorithm for software defects prediction
• Modified Metaheuristic Optimization Algorithm for Hyperparameter Tuning in Mental Health Applications
• The NLP for Employee Review Sentiment Analysis: An Explainable Perspective
• Adaboost Optimized by Sinh Cosh Algorithm for Prediction of Software Defects
• IoT System Intrusion Detection with XGBoost Optimized by Modified Metaheuristics
• Artificial Neural Networks with Soft Attention: Natural Language Processing for Phishing Email Detection Optimized with Modified Metaheuristics
• Optimizing Machine Learning for Malicious Blockchain Node Detection Using Modified Metaheuristic
• Maxwell’s Equations Optimizer (MEO): A New Physics based Metaheuristic Optimization Algorithm for Solving Optimization Problems
• Towards sustainable societies: Convolutional neural networks optimized by modified crayfish optimization algorithm aided by AdaBoost and XGBoost for waste classification tasks
• Improving Fake News Detection on Social Media Platforms Using Modified Metaheuristics and Machine Learning
• Racism Detecting in Twitter Comments Using Metaheuristics Optimized Text Mining and Classification
• Harassment Detection in Online Discourse Using Modified Metaheuristic Natural Language Processing
• Optimizing Sentiment Analysis on Clothing Reviews Using a BERT-Based Model and Firefly Algorithm for Hyperparameter Tuning
• Exploring the Prospect of Hybridizing Mel Spectrograms and Neural Networks for Acoustic Speed Violation Detection
• YOLOv8 Model Architecture Selection for Human Fall Detection