4 papers
An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating
Mohammad Ali Labbaf Khaniki, Sahabeh Saadati, Mohammad Manthouri
This paper presents a novel Natural Language Processing (NLP) framework for enhancing medical diagnosis through the integration of advanced techniques in data augmentation, feature…
Transformer-Based Bearing Fault Detection using Temporal Decomposition Attention Mechanism
Marzieh Mirzaeibonehkhater, Mohammad Ali Labbaf-Khaniki, Mohammad Manthouri
Bearing fault detection is a critical task in predictive maintenance, where accurate and timely fault identification can prevent costly downtime and equipment damage. Traditional a…
Brain Tumor Classification using Vision Transformer with Selective Cross-Attention Mechanism and Feature Calibration
Mohammad Ali Labbaf Khaniki, Marzieh Mirzaeibonehkhater, Mohammad Manthouri +1
Brain tumor classification is a challenging task in medical image analysis. In this paper, we propose a novel approach to brain tumor classification using a vision transformer with…
Twin Transformer using Gated Dynamic Learnable Attention mechanism for Fault Detection and Diagnosis in the Tennessee Eastman Process
Mohammad Ali Labbaf-Khaniki, Mohammad Manthouri, Hanieh Ajami
Fault detection and diagnosis (FDD) is a crucial task for ensuring the safety and efficiency of industrial processes. We propose a novel FDD methodology for the Tennessee Eastman P…