Deep Learning

Deep Learning-Based Classification of Conference Paper Reviews: Accept or Reject?

This paper proposed an automated classification system for paper reviews. Here, the Bi-GRU-LSTM-CNN model attained the highest accuracy of 95.33%.

T. T. Prama, Al Amin Biswas, Md. Musfique Anwar

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

Predicting Participants’ Performance in Programming Contests Using Deep Learning Techniques

This paper proposed a framework that predicts the performance of any particular contestant in the upcoming competitions as well as predicts the rating after that contest based on their practice and the performance of their previous contests.

Md. Mahbubur Rahman, Badhan Chandra Das, Al Amin Biswas, Md. Musfique Anwar

Predicting Participants’ Performance in Programming Contests Using Deep Learning Techniques

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

An in-depth analysis of Convolutional Neural Network architectures with transfer learning for skin disease diagnosis

Public Sentiment Analysis on COVID-19 Vaccination

Analyze peoples’ reactions about COVID-19 vaccines and vaccination from the social media data to understand the sentiment.

Public Sentiment Analysis on COVID-19 Vaccination