Narrendar RaviChandran

Publications

• Decision support system to improve postoperative discharge: A novel multi-class classification approach
• Neuroevolutionary intelligent system to aid diagnosis of motor impairments in children
• Feature-driven machine learning to improve early diagnosis of Parkinson's disease
• Supervised Machine Learning for Aiding Diagnosis of Knee Osteoarthritis: A Systematic Review and Meta-Analysis
• Electrophysiologically-identified motor points of forearm muscles
• Conformable Electrode Arrays for Wearable Neuroprostheses
• Syncretic Feature Selection for Machine Learning-Aided Prognostics of Hepatitis
• RWC Update: Artificial Intelligence and Smart Eyewearables for Healthy Longevity; Choroidal Hemangioma Widefield Optical Coherence Tomography
• Enabling Free-Standing 3D Hydrogel Microstructures with Microreactive Inkjet Printing
• Genetic algorithms and unsupervised machine learning for predicting robotic manipulation failures for force-sensitive tasks
• Direct Patterning of Highly Conductive PEDOT:PSS/Ionic Liquid Hydrogel via Microreactive Inkjet Printing
• A LabVIEW Interface for RehaStim 2
• Investigation of ephaptic interactions in peripheral nerve of sheep using 6 kHz subthreshold currents
• Evolutionary feature transformation to improve prognostic prediction of hepatitis
• Evolutionary Denoising-Based Machine Learning for Detecting Knee Disorders
• Body-Powered and Portable Soft Hydraulic Actuators as Prosthetic Hands
• Evolutionary Algorithms for Margin Maximisation of Support Vector Machine
• Genetic Algorithms and Artificial Neural Networks for Optimising User Control in Hand Prosthetic Devices
• Bifurcation Analysis to Improve the Specificity of Biophysical Neuronal Models
• Bifurcation Analysis of a FitzHugh-Nagumo-based Tetrahedral Neuronal Network Modelled under External Electrical Stimulation
• Automatic calibration of electrode arrays for dexterous neuroprostheses: a review
• Artificial intelligence enabled smart digital eye wearables
• Modeling the excitation of nerve axons under transcutaneous stimulation
• A novel hybrid algorithm for aiding prediction of prognosis in patients with hepatitis
• Characterizing the Motor Points of Forearm Muscles for Dexterous Neuroprostheses
• Artificial Intelligence for Clinical Gait Diagnostics of Knee Osteoarthritis: An Evidence - based Review and Analysis
• Design of Transcutaneous Stimulation Electrodes for Wearable Neuroprostheses
• Augmentation of neural activity in peripheral nerve of sheep using 6 kHz subthreshold currents
• hyper-sinh: An accurate and reliable function from shallow to deep learning in TensorFlow and Keras
• A Computational Model for Neuromuscular Electrical Stimulation - Featuring Excitation Contraction Dynamics
• Influence of Electrode Geometry on Selectivity and Comfort for Functional Electrical Stimulation
• Fuzzy Logic Based Reactivity Control in Nuclear Power Plants
• Field Shaping for Transcutaneous Stimulation of Peripheral Nerves
• A framework to model the simultaneous activation of sensory and motor nerve fibers
• Characterizing the Twitch Response of Forearm Muscles
• Characterizing the Twitch Response of Forearm Muscles
• Electrode configurations for transcutaneous stimulation of forearm muscles
• Grasp Assessment for Neuroprostheses-Mediated Functions
• Federated Machine Learning in Medical imaging and against Adversarial Attacks: A retrospective multicohort study
• The next generation of healthcare ecosystem in the metaverse.
• A translational perspective towards clinical AI fairness.
• Privacy Enhancing Technologies for Collaborative Research in Medical Imaging: Federated Machine Learning and Web 3
• Optimal Evolutionary Framework-based Activation Function for Image Classification