Publications
Aggregated Catalyst Physicochemical Descriptor-Driven Machine Learning for Catalyst Optimization: Insights into Oxidative-Coupling-of-Methane Dynamics and C2 Yields
Progressive Attention-Enhanced EfficientNet–UNet for Robust Water-Body Mapping from Satellite Imagery
Machine Learning Framework for HbA1c Prediction: Data Enrichment, Cost Optimization, and Interpretability Through Stratified Regression and Multi-Stage Feature Selection
Integrating multiomics data using a correlation based graph attention network for subtype classification in lower grade glioma
A Score-Fusion Method Based on the Sine Cosine Algorithm for Enhanced Multimodal Biometric Authentication
Efficient multi-finger vein recognition using layer-wise progressive MobileNet fine-tuning and a Dense-Head Probabilistic Siamese Network
Automated project scheduling from UML sequence diagrams using OCR and critical path analysis
RAUM-GANs: a multi-layer GAN-enhanced framework for accurate multiple sclerosis lesion segmentation in MRI
A keyless multimodal-based user authentication scheme using generative adversarial networks
Ethical AI in Healthcare: Integrating Zero-Knowledge Proofs and Smart Contracts for Transparent Data Governance
Decentralized Identity Management in Cloud Computing: A Blockchain-Based Solution With Automatic Provisioning Techniques
AI-based prediction of traffic crash severity for improving road safety and transportation efficiency
Addressing Class Overlap in Sonic Hedgehog Medulloblastoma Molecular Subtypes Classification Using Under-Sampling and SVD-Enhanced Multinomial Regression
Optimized YOLOv8 for Enhanced Breast Tumor Segmentation in Ultrasound Imaging
Comprehensive Network Analysis of Lung Cancer Biomarkers Identifying Key Genes Through RNA-Seq Data and PPI Networks
Enhancing cardiac diagnostics: a deep learning ensemble approach for precise ECG image classification
Computational challenges and solutions: Prime number generation for enhanced data security
Enhancing Breast Cancer Detection in Ultrasound Images-An Innovative Approach Using Progressive Fine‐Tuning of Vision Transformer Models
Layer-Weighted Attention and Ascending Feature Selection: An Approach for Seriousness Level Prediction Using the FDA Adverse Event Reporting System
Multi-layer Preprocessing and U-Net with Residual Attention Block for Retinal Blood Vessel Segmentation
Breast Ultrasound Images Augmentation and Segmentation Using GANs with Identity Block and Modified U-Net 3+
An Approach for Cancer-Type Classification using Feature Se-lection Techniques with Convolutional Neural Network
Strengthening Cloud Security: An Innovative Multi-Factor Multi-Layer Authentication Framework for Cloud User Authentication
Improved Siamese Palmprint Authentication using Pre-trained VGG16-Palmprint and Element-wise Absolute Difference
Innovative Forward Fusion Feature Selection Algorithm for Sentiment Analysis using Supervised Classification
Enhanced Sentiment Analysis Algorithms for Multi-Weight Polarity Selection on Twitter Dataset
Advanced Authentication Mechanisms for Identity and Access Management in Cloud Computing
Digital Watermarking Scheme for Securing Textual Database Using Histogram Shifting Model
A Multi-Factor Authentication-Based Framework for Identity Management in Cloud Applications
Prediction of COVID-19 Transmission in the United States Using Google Search Trends
An E-Business Event Stream Mechanism for Improving User Tracing Processes
A Silent Password Recognition Framework based on Lip Analysis
Design and Implementation of Secured E-Business Structure with LTL Patterns for User Behavior Prediction