Publications

2024

• Novel tiny textural motif pattern-based RNA virus protein sequence classification model
• GCLP: An automated asthma detection model based on global chaotic logistic pattern using cough sounds
• An expert system for automated classification of phases in cyclic alternating patterns of sleep using optimal wavelet‐based entropy features

2023

• Automated detection of airflow obstructive diseases: A systematic review of the last decade (2013-2022)
• SchizoNET: a robust and accurate Margenau–Hill time-frequency distribution based deep neural network model for schizophrenia detection using EEG signals
• An explainable and interpretable model for attention deficit hyperactivity disorder in children using EEG signals
• A Novel Attention based model for Semantic Segmentation of Prostate Glands using Histopathological Images
• FF-BTP Model for Novel Sound-based Community Emotion Detection
• Innovative Fibromyalgia Detection Approach Based on Quantum-Inspired 3LBP Feature Extractor Using ECG Signal
• Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives
• A Data-Driven Hybrid Methodology Using Randomized Low-Rank DMD Approximation and Flat-Top FIR Filter for Voltage Fluctuations Monitoring in Grid-Connected Distributed Generation Systems
• Uncertainty quantification in DenseNet model using myocardial infarction ECG signals
• Automated warfarin dose prediction for Asian, American, and Caucasian populations using a deep neural network
• An Explainable Deep Learning Model to Prediction Dental Caries Using Panoramic Radiograph Images
• Automated detection of scaphoid fractures using deep neural networks in radiographs
• Endoscopy, video capsule endoscopy, and biopsy for automated celiac disease detection: A review
• FFCAEs: An efficient feature fusion framework using cascaded autoencoders for the identification of gliomas
• Automated detection and screening of depression using continuous wavelet transform with electroencephalogram signals

2022

• Novel Hypertrophic Cardiomyopathy Diagnosis Index Using Deep Features and Local Directional Pattern Techniques
• Role of Four-Chamber Heart Ultrasound Images in Automatic Assessment of Fetal Heart: A Systematic Understanding
• Assessment of CT for the categorization of hemorrhagic stroke (HS) and cerebral amyloid angiopathy hemorrhage (CAAH): A review
• Automated detection of ADHD: Current trends and future perspective
• Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)
• Application of Photoplethysmography signals for Healthcare systems: An in-depth review
• Feature‐versus deep learning‐based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study
• Automated detection of cyclic alternating pattern and classification of sleep stages using deep neural network
• Application of CycleGAN and transfer learning techniques for automated detection of COVID-19 using X-ray images
• Transfer learning techniques for medical image analysis: A review

2021

• A novel machine learning framework for automated detection of arrhythmias in ECG segments
• A novel automated autism spectrum disorder detection system
• Automated detection of glaucoma using elongated quinary patterns technique with optical coherence tomography angiogram images
• An automated skin melanoma detection system with melanoma-index based on entropy features
• Automated detection of chronic kidney disease using image fusion and graph embedding techniques with ultrasound images
• Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals
• Automated detection of coronary artery disease, myocardial infarction and congestive heart failure using GaborCNN model with ECG signals
• Future IoT tools for COVID‐19 contact tracing and prediction: A review of the state‐of‐the‐science
• Efficient deep neural network model for classification of grasp types using sEMG signals
• ECNet: An evolutionary convolutional network for automated glaucoma detection using fundus images
• Automated interpretation of biopsy images for the detection of celiac disease using a machine learning approach
• Application of Artificial Intelligence techniques for the detection of Alzheimer’s disease using structural MRI images