Yasir Abdullah Rabi Ahamed

A reproducible neuro-fuzzy framework for interpretable anomaly detection in wireless sensor network data streams

Anomaly detection in wireless sensor networks plays an important role in providing a reliable mechanism for environmental monitoring, healthcare, and industrial automation. Statistical as well as clustering techniques have their own restrictions regarding adaptability whereas machine learning and deep learning algorith...

A Sustainable AI-Enabled Framework for Automated Crop Disease Diagnosis and Agricultural Advisory

Diseases affecting crops threaten farmers incomes, food security, and agricultural production. Traditional methods for detecting diseases rely on consultation with professionals, as well as inspections made by a person, and are often quite labor-intensive. In this paper, the system that uses artificial intelligence (AI...

Explainable Multimodal Learning Framework for Email Phishing Detection Using Text Visual URL and Metadata Evidence

A Secure Blockchain–IPFS Framework with AI-Driven Medical Analytics for Decentralized Healthcare Systems

Digital infrastructures are becoming very popular in healthcare systems to store and process Electronic Health Records (EHRs), but the majority of current systems are centralized and prone to breach of data, unauthorized access and manipulation of data. The proposed research proposes a solution to these concerns by int...