article-journal

Identifying Suicidal Ideations from Social Media Posts Using Deep Learning and Explainable AI-Driven Approach
This study presents a comprehensive approach to analyze the user-generated textual contents on social media that reflect suicidal ideas.
Md. Sabab Zulfiker, Nasrin Kabir, Al Amin Biswas, Md. Mashih Ibn Yasin Adan, Mohammad Shorif Uddin
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Identifying Suicidal Ideations from Social Media Posts Using Deep Learning and Explainable AI-Driven Approach
A comprehensive review of explainable AI for disease diagnosis
This review article mainly analyzes several research articles that are mainly related to machine learning (ML) or deep learning (DL) based human disease diagnoses, and the model’s decision-making process is explained by XAI techniques.
Al Amin Biswas
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A comprehensive review of explainable AI for disease diagnosis
A real-time application-based convolutional neural network approach for tomato leaf disease classification
This study proposed a lightweight custom convolutional neural network (CNN) model and utilized transfer learning (TL)-based models VGG-16 and VGG-19 to classify tomato leaf diseases.
Showmick Guha Paul, Al Amin Biswas, Arpa Saha, Md. Sabab Zulfiker, Nadia Afrin Ritu, Ifrat Zahan, Mushfiqur Rahman, Mohammad Ashraful Islam
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A real-time application-based convolutional neural network approach for tomato leaf disease classification
An in-depth analysis of Convolutional Neural Network architectures with transfer learning for skin disease diagnosis
This research proposed an efficient solution for skin disease recognition by implementing CNN architectures. Here, MobileNet achieved a classification accuracy of 96.00%, and the Xception model reached 97.00% classification accuracy with transfer learning and augmentation.
Rifat Sadik, Anup Majumder, Al Amin Biswas, Bulbul Ahammad, Md. Mahfujur Rahman
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An in-depth analysis of Convolutional Neural Network architectures with transfer learning for skin disease diagnosis
Analyzing the Public Sentiment on COVID-19 Vaccination in Social Media: Bangladesh Context
This study has analyzed the views and opinions that they have expressed on different social media platforms about the vaccines and the ongoing vaccination program.
Md. Sabab Zulfiker, Nasrin Kabir, Al Amin Biswas, Sunjare Zulfiker, Mohammad Shorif Uddin
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Analyzing the Public Sentiment on COVID-19 Vaccination in Social Media: Bangladesh Context
An in-depth analysis of machine learning approaches to predict depression
This study has investigated six different machine learning classifiers using various socio-demographic and psychosocial information to detect whether a person is depressed or not.
Md. Sabab Zulfiker, Nasrin Kabir, Al Amin Biswas, Tahmina Nazneen, Mohammad Shorif Uddin
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An in-depth analysis of machine learning approaches to predict depression