A. Imran

Climate change prediction and sustainable climate risk management using a hybrid DenseNet121–MobileNet deep learning model

Parkinson's disease diagnosis using machine learning and multimodal biomarkers: A systematic review.

Multimodal fusion architectures, particularly cross-attention transformers integrating motor, voice, and gait data, consistently outperformed unimodal approaches by 4%-8% in the area under the receiver operating characteristic curve (AUC), with the largest gains in early stage detection and differential diagnosis tasks...

Optimized Landslide Prediction Using LSTM and Random Forest Tuned by Black Hole Algorithm

The results demonstrate that the proposed LSTM–RF framework optimized by BHA provides an accurate and reliable solution for landslide susceptibility mapping, supporting disaster risk reduction, infrastructure planning, and sustainable land-use management.

Systematic Literature Review of Deep Learning Techniques for Lung Cancer Segmentation

This study provides a clear and actionable framework to bridge the gap between DL‐based segmentation research and clinical deployment, and proposes a roadmap for future research focusing on lightweight architectures, edge–cloud integration, federated learning and explainable AI (XAI).