Current Research

Air Pollution detection & personalized asthma attack prediction from air pollution data

Description

Publications

• Md. Nazmul Hoq, Rakibul Alam, M Ashraful Amin, “Prediction of possible asthma attack from air pollutants: towards a high density air pollution map for smart cities to improve living” , 2nd International Conference on Electrical, Computer and Communication Engineering (ECCE), 7-9 February, 2019, Cox's Bazar, Bangladesh. (Scopus Indexed)

Plant disease prediction using deep learning & image processing.

Description

Publications

• Farabee Islam, Md Nazmul Hoq, and Chowdhury Mofizur Rahman. "Application of Transfer Learning to Detect Potato Disease from Leaf Image." In IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things 2019, Dhaka, Bangladesh. [ACCEPTED]

• Md. Al-Amin, Tasfia Anika Bushra, Md Nazmul Hoq, “Prediction of Potato Disease from Leaves using Deep Convolutional Neural Network towards a Digital Agricultural System", in proceedings of 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT-2019), May 3-5, 2019, East West University, Dhaka, Bangladesh

Bangla Handwritten understanding through Character Recognition & identification

Description

Publications

• Md Nazmul Hoq, Nadira Anjum Nipa, Mohammad Mohaiminul Islam, Sadat Shahriar, "Bangla Handwritten Character Recognition: an overview of the state of the art classification algorithm with new dataset", in proceedings of 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT-2019), May 3-5, 2019, East West University, Dhaka, Bangladesh

• Md Nazmul Hoq, Mohammad Mohaiminul Islam, Nadira Anjum Nipa, Md. Mostofa Akbar, "A Comparative Overview of Classification Algorithm for Bangla Handwritten Digit Recognition (BHDR)", in proceedings of 2nd International Joint Conference on Computational Intelligence (IJCCI), 14-15 December , 2018, Daffodil International University (DIU), Dhaka, Bangladesh.

AUTOMATIC IDENTIFICATION OF DIFFERENT STAGES OF CELLULITE FROM INFRARED THERMOGRAPHIC IMAGES

The main objectives of my study are as follows:

• To propose a system to automatically predict the stages of cellulite from the infrared thermographic image of cellulite
• To determine the best feature detection and extraction methods for the classification of the infrared thermographic image of cellulite
• To evaluate and compare the performance of the modern classification algorithms for the infrared thermographic image of cellulite with the newly proposed method in this research.

This is actually my Master's thesis works. Mainly I am working on prediction and recommendation systems from image processing. This works is supported by Erasmus+ mobility program between my University Bangladesh University of Science & Technology, Dhaka Bangladesh & University of Limeric, Ireland.

Publications

• Joanna Bauer, Md Nazmul Hoq, John Mulcahy, Syed A.M. Tofail, Fahmida Gulshan, Christophe Silien, Halina Podbielska and Md. Mostofa Akbar, “Implementation of artificial intelligence and non-contact infrared thermography for prediction and personalized automatic identification of different stages of cellulite”, in EPMA Journal (2019) [ACCEPTED]