5 citations · 14 across the 9 of their papers we have counts for
9 papers
A Novel Multi-Timescale Stability-Preserving Hierarchical Reinforcement Learning Controller Framework for Adaptive Control in High-Dimensional Dynamical Systems
Mohammad Ali Labbaf Khaniki, Fateme Taroodi, Benyamin Safizadeh
Controlling high-dimensional stochastic systems, critical in robotics, autonomous vehicles, and hyperchaotic systems, faces the curse of dimensionality, lacks temporal abstraction,…
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…
Enhanced Fault Detection and Cause Identification Using Integrated Attention Mechanism
Mohammad Ali Labbaf Khaniki, Alireza Golkarieh, Houman Nouri +1
This study introduces a novel methodology for fault detection and cause identification within the Tennessee Eastman Process (TEP) by integrating a Bidirectional Long Short-Term Mem…
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…
Hierarchical SegNet with Channel and Context Attention for Accurate Lung Segmentation in Chest X-ray Images
Mohammad Ali Labbaf Khaniki, Nazanin Mahjourian, Mohammad Manthouri
Lung segmentation in chest X-ray images is a critical task in medical image analysis, enabling accurate diagnosis and treatment of various lung diseases. In this paper, we propose…
A Novel Approach to Chest X-ray Lung Segmentation Using U-net and Modified Convolutional Block Attention Module
Mohammad Ali Labbaf Khaniki, Mohammad Manthouri
Lung segmentation in chest X-ray images is of paramount importance as it plays a crucial role in the diagnosis and treatment of various lung diseases. This paper presents a novel a…
Enhancing Price Prediction in Cryptocurrency Using Transformer Neural Network and Technical Indicators
Mohammad Ali Labbaf Khaniki, Mohammad Manthouri
This study presents an innovative approach for predicting cryptocurrency time series, specifically focusing on Bitcoin, Ethereum, and Litecoin. The methodology integrates the use o…
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…