NB
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