Tasfiq E. Alam
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View article: Physics-Informed Multimodal Bearing Fault Classification under Variable Operating Conditions using Transfer Learning
Physics-Informed Multimodal Bearing Fault Classification under Variable Operating Conditions using Transfer Learning Open
Accurate and interpretable bearing fault classification is critical for ensuring the reliability of rotating machinery, particularly under variable operating conditions where domain shifts can significantly degrade model performance. This …
View article: Multimodal bearing fault classification under variable conditions: A 1D CNN with transfer learning
Multimodal bearing fault classification under variable conditions: A 1D CNN with transfer learning Open
View article: Multimodal Bearing Fault Classification Under Variable Conditions: A 1D CNN with Transfer Learning
Multimodal Bearing Fault Classification Under Variable Conditions: A 1D CNN with Transfer Learning Open
Bearings play an integral role in ensuring the reliability and efficiency of rotating machinery - reducing friction and handling critical loads. Bearing failures that constitute up to 90% of mechanical faults highlight the imperative need …
View article: A Neoteric Feature Extraction Technique to Predict the Survival of Gastric Cancer Patients
A Neoteric Feature Extraction Technique to Predict the Survival of Gastric Cancer Patients Open
Background: At the time of cancer diagnosis, it is crucial to accurately classify malignant gastric tumors and the possibility that patients will survive. Objective: This study aims to investigate the feasibility of identifying and applyin…
View article: Enhancing Monkeypox diagnosis and explanation through modified transfer learning, vision transformers, and federated learning
Enhancing Monkeypox diagnosis and explanation through modified transfer learning, vision transformers, and federated learning Open
The Monkeypox outbreak has emerged as a pressing global health challenge, evidenced by rising cases across nations. Individuals afflicted exhibit diverse dermatological symptoms that risk further transmission via contamination. Our study a…
View article: Efficient Deep Learning-Based Data-Centric Approach for Autism Spectrum Disorder Diagnosis from Facial Images Using Explainable AI
Efficient Deep Learning-Based Data-Centric Approach for Autism Spectrum Disorder Diagnosis from Facial Images Using Explainable AI Open
The research describes an effective deep learning-based, data-centric approach for diagnosing autism spectrum disorder from facial images. To classify ASD and non-ASD subjects, this method requires training a convolutional neural network u…
View article: Benchmarking of academic departments using data envelopment analysis (DEA)
Benchmarking of academic departments using data envelopment analysis (DEA) Open
Purpose The main objective of the paper is to develop an investment model using data envelopment analysis (DEA) that provides a decision-making framework to allocate resources efficiently, such that the relative efficiency is improved with…
View article: Deep MLP-CNN Model Using Mixed-Data to Distinguish between COVID-19 and Non-COVID-19 Patients
Deep MLP-CNN Model Using Mixed-Data to Distinguish between COVID-19 and Non-COVID-19 Patients Open
The limitations and high false-negative rates (30%) of COVID-19 test kits have been a prominent challenge during the 2020 coronavirus pandemic. Manufacturing those kits and performing the tests require extensive resources and time. Recent …