- الرئيسية
- عن الجامعة
- طارق علي محمد اسحاق
طارق علي محمد اسحاق
السيرة الذاتية
جدول الدراسة
الابحاث والمؤلفات
المشاريع البحثية
الجوائز
3D-MobiBrainNet: Multi-class Alzheimer’s disease classification using 3D brain magnetic resonance imaging
Ain Shams Engineering Journal
DOI
10.1016/j.asej.2025.103714
A CNN-Transformer Fusion Model for Proactive Detection of Schizophrenia Relapse from EEG Signals
Bioengineering-Basel
DOI
10.3390/bioengineering12060641
A Hybrid CNN-Transformer Framework for Normal Blood Cell Classification: Towards Automated Hematological Analysis
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
DOI
10.32604/cmes.2025.067150
A comprehensive self-attention melanoma analysis using reliable transformers and explainable AI
PeerJ Computer Science
DOI
10.7717/peerj-cs.3479
Artificial neural fuzzy inference rule based (anfis) model for offloading tasks for edge, cloud and uavs environment
IEEE Access
DOI
10.1109/access.2024.3483656
Bridging AI and hematology: a novel hybrid model for accurate blood cell type classification
PeerJ Computer Science
DOI
10.7717/peerj-cs.3570
Cognitively Inspired Federated Learning Framework for Interpretable and Privacy-Secured EEG Biomarker Prediction of Depression Relapse
Bioengineering-Basel
DOI
10.3390/bioengineering12101032
Communication-aware multi-agent reinforcement learning for cooperative navigation of multiple USVs in dynamic ocean environments
Ocean Engineering
DOI
10.1016/j.oceaneng.2025.123626
Cotton crop disease detection and classification using statistical prediction model in deep learning approach
MULTIMEDIA TOOLS AND APPLICATIONS
DOI
10.1007/s11042-025-21079-4
Decentralized Energy Swapping for Sustainable Wireless Sensor Networks Using Blockchain Technology
Mathematics
DOI
10.3390/math13030395
Design of a Novel Fractional Whale Optimization-Enhanced Support Vector Regression (FWOA-SVR) Model for Accurate Solar Energy Forecasting
Fractal and Fractional
DOI
10.3390/fractalfract9010035
Dynamic kernel generation through hybrid involution and convolution neural networks for leukemia and white blood cell classification
Scientific Reports
DOI
10.1038/s41598-025-28040-3
Enhancing smart manufacturing: a tensor-based ontology framework for predictive optimization using semantic digital twin
Ain Shams Engineering Journal
DOI
10.1016/j.asej.2025.103877
Fractional-Order Dynamic Modeling of Renewable-Dominant Power Systems Using Long-Memory Load and Generation Data
Fractal and Fractional
DOI
10.3390/fractalfract10030183
Generative AI in different imaging modalities for disease diagnosis: A review
EXPERT SYSTEMS WITH APPLICATIONS
DOI
10.1016/j.eswa.2026.131162
Global horizontal irradiance prediction for renewable energy system in Najran and Riyadh
AIP Advances
DOI
10.1063/5.0191676
Hybrid Forecasting Techniques for Renewable Energy Integration in Electricity Markets Using Fractional and Fractal Approach
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
DOI
10.32604/cmes.2025.073169
Hybrid Underwater Localization Communication Framework for Blockchain Enabled IoT-Underwater Acoustic Sensor Network
IEEE Internet of Things Journal
DOI
10.1109/jiot.2025.3535375
Hybrid quantum-inspired proximal policy optimization for fault detection in wind turbine on supervisory control and data acquisition system
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING
DOI
10.1177/09596518251380952
Hybridization and Optimization of Bio and Nature-Inspired Metaheuristic Techniques of Beacon Nodes Scheduling for Localization in Underwater IoT Networks
Mathematics
DOI
10.3390/math12223447
Interpretable object detection via integrated heatmap, concept attribution, and sobol sensitivity analysis
INFORMATION SCIENCES
DOI
10.1016/j.ins.2026.123133
IoT-Driven Pollution Detection System for Indoor and Outdoor Environments
CMC-Computers Materials & Continua
DOI
10.32604/cmc.2025.068228
Multi-Objective Optimization and Load-Flow Analysis in Complex Power Distribution Networks
Fractal and Fractional
DOI
10.3390/fractalfract10020082
Optimization and localization based framework for priority-aware node ranking and routing in IoT-driven acoustic systems
Ad Hoc Networks
DOI
10.1016/j.adhoc.2025.103893
Optimizing Bearing Fault Detection: CNN-LSTM with Attentive TabNet for Electric Motor Systems.
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
DOI
10.32604/cmes.2024.054257
Optimizing load demand forecasting in educational buildings using quantum-inspired particle swarm optimization (QPSO) with recurrent neural networks (RNNs): a seasonal approach
Scientific Reports
DOI
10.1038/s41598-025-04301-z
Predictive modeling of complex networks using deep learning and fractional dynamics
AIMS Mathematics
DOI
10.3934/math.20251175
Revolutionizing wind turbine fault diagnosis on supervisory control and data acquisition system with transparent artificial intelligence
International Journal of Green Energy
DOI
10.1080/15435075.2024.2448294
Secure and transparent mobility in smart cities: Revolutionizing AVNs to predict traffic congestion using MapReduce, Private Blockchain and XAI
IEEE Access
DOI
10.1109/access.2024.3458983
Signature-based intrusion detection using machine learning and deep learning approaches empowered with fuzzy clustering
Scientific Reports
DOI
10.1038/s41598-025-85866-7
Sustainable Co-production of water, energy, and hydrogen: Holistic multi-objective optimization of a hybrid PV-wind-battery-h2-reverse osmosis desalination plant
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
DOI
10.1016/j.ijhydene.2026.154472
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