Niyaz Ahmad Wani
Orcid: 0000-0002-7656-3374
According to our database1,
Niyaz Ahmad Wani authored at least 17 papers
between 2024 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Optimizing Deep Learning Models with Genetic Algorithms for Improved Classification and Identification of Wheat Leaf Diseases.
Int. J. Comput. Intell. Syst., December, 2026
Advanced LSTM frameworks for hotel bookings leveraging hippopotamus-inspired optimization.
Discov. Artif. Intell., December, 2026
Adaptive Edge Intelligence Framework for Resource-Constrained IoT in Consumer Electronics.
IEEE Trans. Consumer Electron., February, 2026
SFX-GAN: sustainable and explainable multi-modal spectral fusion for image dehazing in complex systems.
Complex Intell. Syst., 2026
2025
Optimized Federated Learning for Trustworthy Edge Decision-Making in IoT Consumer Electronics.
IEEE Trans. Consumer Electron., November, 2025
DASHES - Autonomous and Secure Framework for Connected Healthcare With Consumer Electronics.
IEEE Trans. Consumer Electron., November, 2025
Ameliorating Federated Learning Using Dynamic Inertia Weight-Based Advanced Particle Swarm Optimization for Consumer Electronic Devices.
IEEE Trans. Consumer Electron., November, 2025
Synergizing Fusion Modeling for Accurate Cardiac Prediction Through Explainable Artificial Intelligence.
IEEE Trans. Consumer Electron., February, 2025
Elevating Cloud Security With Advanced Trust Evaluation and Optimization of Hybrid Fireberg Technique.
IET Softw., 2025
DiaXplain: A transparent and interpretable artificial intelligence approach for Type-2 diabetes diagnosis through deep learning.
Comput. Electr. Eng., 2025
Next-Generation Automation in Neuro-Oncology: Advanced Neural Networks for MRI-Based Brain Tumor Segmentation and Classification.
IEEE Access, 2025
2024
<i>DeepXplainer</i>: An interpretable deep learning based approach for lung cancer detection using explainable artificial intelligence.
Comput. Methods Programs Biomed., January, 2024
Explainable AI-driven IoMT fusion: Unravelling techniques, opportunities, and challenges with Explainable AI in healthcare.
Inf. Fusion, 2024
Harnessing Fusion Modeling for Enhanced Breast Cancer Classification through Interpretable Artificial Intelligence and In-Depth Explanations.
Eng. Appl. Artif. Intell., 2024
ResMHA-Net: Enhancing Glioma Segmentation and Survival Prediction Using a Novel Deep Learning Framework.
Comput. Mater. Continua, 2024
Hybrid Optimization Machine Learning Framework for Enhancing Trust and Security in Cloud Network.
IEEE Access, 2024
TransResUNet: Revolutionizing Glioma Brain Tumor Segmentation Through Transformer-Enhanced Residual UNet.
IEEE Access, 2024