Publications

Who is responsible? The data, models, users or regulations? Responsible generative AI for a sustainable future

Generative AI agents and chatbots in the agentic AI era: A comprehensive review of conversational agents and human-agent interaction

The next layer: augmenting foundation models with structure-preserving and attention-guided learning for local patches to global context awareness in computational pathology

Deep Learning of CT Imaging Predicts PD-L1 Expression and Immunotherapy Benefit in Metastatic NSCLC: A Multi-Center Study

From classical machine learning to emerging foundation models: review on multimodal data integration for cancer research

A survey on large language models: Applications, challenges, limitations, and practical usage

Foundation Models in Biomedical Imaging: Turning Hype into Reality

CT-Based Deep Foundation Model for Predicting Immune Checkpoint Inhibitor-Induced Pneumonitis Risk in Lung Cancer

Progress and challenges of artificial intelligence in lung cancer clinical translation

Radiomics for Dynamic Lung Cancer Risk Prediction in USPSTF-Ineligible Patients

One Model for Many Fakes: Detecting GAN and Diffusion-Generated Forgeries in Faces, Invoices, and Medical Heterogeneous Data

RNN-LSTM: From applications to modeling techniques and beyond — Systematic review

A Comprehensive Systematic Review of YOLO for Medical Object Detection (2018 to 2023)

Beyond conventions: Unravelling perceived value's role in shaping digital-only banks' adoption

Unmasking Deception: Empowering Deepfake Detection with Vision Transformer Network

Cyberbullying Detection on Twitter Using Deep Learning-Based Attention Mechanisms and Continuous Bag of Words Feature Extraction

Cyberbullying detection on social media using stacking ensemble learning and enhanced BERT

Enhanced Multi-Objective Grey Wolf Optimizer with Lévy Flight and Mutation Operators for Feature Selection

Automated Cellular-Level Dual Global Fusion of Whole-Slide Imaging for Lung Adenocarcinoma Prognosis

Machine Learning Models for the Identification of Prognostic and Predictive Cancer Biomarkers: A Systematic Review

Mediblock Record Secure Data Sharing in Healthcare System: Issues, Solutions and Challenges

Estimating Financial Fraud through Transaction-Level Features and Machine Learning

DeepSDC: Deep Ensemble Learner for the Classification of Social-Media Flooding Events

Type 2 Diabetes Risk Prediction Using Deep Convolutional Neural Network Based-Bayesian Optimization

BMSP-ML: Big Mart Sales Prediction Using Different Machine Learning Techniques

Validation of "Depression, Anxiety, and Stress Scales" and "Changes in Psychological Distress during COVID-19" among University Students in Malaysia

Hyper-Parameter Optimization of Semi-Supervised GANs Based Sine Cosine Algorithm for Multimedia Datasets

Short term residential load forecasting using long short-term memory recurrent neural network

Predicting customers churning in banking industry: A machine learning approach

Deep Reinforcement Learning for Anomaly Detection: A Systematic Review

Low-rate DDoS attack Detection using Deep Learning for SDN-enabled IoT Networks

iAceS-Deep: Sequence-based identification of Acetyl Serine sites in Proteins using PseAAC and Deep Neural Representations

Authentication securing methods for mobile identity: Issues, solutions and challenges

Classifications of Sustainable Factors in Blockchain Adoption: A Literature Review and Bibliometric Analysis

iAceS-Deep: Sequence-based identification of Acetyl Serine sites in Proteins using PseAAC and Deep Neural Representations

Computational identification of 4-carboxyglutamate sites to supplement physiological studies using deep learning

Smart security door system using SMS based energy harvest

A smart fire detection system using IoT technology with automatic water sprinkler

Deep Learning of a Pre-trained Language Model's Joke Classifier Using GPT-2

COVID-19 Recognition Using Self-Supervised Learning Approach in Three New Computed Tomography Databases

Location-Aware Personalized Traveler Recommender System (LAPTA) Using Collaborative Filtering KNN

Distributed Hybrid Double-Spending Attack Prevention Mechanism for Proof-of-Work and Proof-of-Stake Blockchain Consensuses

The Assessment of Big Data Adoption Readiness with a Technology–Organization–Environment Framework: A Perspective towards Healthcare Employees

A Hybrid Deep Learning-Based Unsupervised Anomaly Detection in High Dimensional Data

Data-Driven Deep Learning-Based Attention Mechanism for Remaining Useful Life Prediction: Case Study Application to Turbofan Engine Analysis

Deep-Learning Based Prognosis Approach for Remaining Useful Life Prediction of Turbofan Engine

A Continuous Cuffless Blood Pressure Estimation Using Tree-Based Pipeline Optimization Tool

iNitroY-Deep: Computational Identification of Nitrotyrosine Sites to Supplement Carcinogenesis Studies Using Deep Learning

IAmideV-deep: Valine amidation site prediction in proteins using deep learning and pseudo amino acid compositions

iVaccine-Deep: Prediction of COVID-19 mRNA vaccine degradation using deep learning

Smart health monitoring system using IoT based smart fitness mirror

A comparative analysis of machine learning techniques for cyberbullying detection on Twitter

Efficient and Automated Herbs Classification Approach Based on Shape and Texture Features using Deep Learning

Automated Health Monitoring System Using Advanced Technology

Automated library system using SMS based pick and place robot