Data Driven Applications for Industry 4.0 and Beyond

1. A System that Analyzes Bengali Text on Facebook Posts Using Machine Learning to Spot Suspicious Content.

Meherun Nesa Shraboni and Mohammad Shamsul Arefin

2. A Reversible Transformer Based Bangla Conversational Agent.

Md Fatin Ishrak, Shakila Zaman, Jannatun Nahar, and Zarin Tasnim Promi

3. URL Based Website Classification Using Deep Learning and Word Based Multiple N-gram Models.

Sultan Mahmud and Sayad Ahmed Chowdhury

4. Gait Recognition from Occluded to Reconstructed Gait Cycle Using Deep Learning

Md. Mehedi Hasan, Nakib Aman, Khalid Saifullah, and Md. Fatin Ilham

5. RiceNet: Accurate Classification of Rice Varieties using Convolutional Neural Networks.

Nusrat Jahan Shammey, Adit Ishraq, Sayefa Arafah, Sadiya Akter Mim, Dr. Firoz Mridha, and Md. Abdul Hamid

6. Vehicle Name Plate Detection and Blurring from social media images using image processing and Deep learning.

Ismail Hossain, Sultana Umme Habiba, Sayeda Fatiha Maya, and Kausar Alam

7. DCNN-SMD: A Deep Convolutional Neural Network Model to Diagnosis, Prognosis, and Characterise Sperm Morphology.

Abdullah Al Nomaan Nafi, Md Imran Hasan, Nosin Ibna Mahbub, Md. Alamgir Hossain, and Md Zahidul Islam

8. Muslim Salat Gesture Recognition Framework: Integrating Deep Transfer Learning and Machine Learning.

Md. Moradul Siddique, Md Nasim Adnan, Mohammad Farhad Bulbul, Hazrat Ali, Sk. Shalauddin Kabir, and Syed Md. Galib

9. BHSGR-Net: A Light-Weight Convolutional Neural Architecture for Recognition of Bengali Hand Sign Gestures.

Md. Barhanul Karim, Md. Safaiat Hossain, Rahul Reza Roky, and Azmain Yakin Srizon

10. Can Machine Learning Help Identify Suicidal Tweets? An Ensemble Classifier Approach.

Sabiha Firdaus, Md Nahid Hasan, Ashfia Jannat Keya, Md. Mohsin Kabir, and M. F. Mridha

11. An Interpretable Systematic Review of Machine Learning Models for Predictive Maintenance of Aircraft Engine.

Abdullah Al Hasib, Ashikur Rahman, Mahpara Khabir, and Md. Tanvir Rouf Shawon

12. Multichannel Attention Networks with Ensembled Transfer Learning to Recognize Bangla Handwritten Charecter.

Farhanul Haque, Abu Saleh Musa Miah, Md. Al-Hasan, Sumaiya Tabssum Mou, Md Abdur Rahim, and Jungpil Shin

13. Development of a Deep Learning Classification Model for Improved Rainfall Prediction in Ireland.

Md. Badiuzzaman Biplob and Md. Mokammel Haque

14. Defect Detection of Casting Products Using Deep Learning: A Method Based on Convolutional Neural Networks.

Mumtahina Alam, Monowar Wadud Hridoy, Kazi Riad Uddin, Kazi Naimur Rahman, and Md. Asifur Rahman

15. OLD-TL: Offensive Language Detection in Gaming Live Stream using Transfer Learning.

Ferdousi Haque and Atanu Shome

16. Predicting Stress in Bangladeshi University Students: A LIMEInterpretable Machine Learning Approach.

Md. Hamid Hosen, Mohammad Tanvirul Islam, Kahakashan Ashraf, and Promila Haque

17. Early detection of system failure using machine learning techniques.

Hasibul Islam, Md Shahzamal, Md. Dulal Haque, and Md. Selim Hossain

18. Churn Prediction Using Machine Learning in the Tours and Travel Industry.

SYED MOMININ ISLAM TAMIM, MD. NADIM HASAN, and MD.TAFSIMUL ISLAM TANZID

Biography

Dr. Nazmul Siddique is a researcher at the School of Computing, Engineering, and Intelligent Systems, Ulster University. He has published over 170 research papers and several books on cybernetics and computational intelligence. His editorial roles in top journals highlight his academic influence and contributions.

Dr. Mohammad Shamsul Arefin is a professor at the Department of CSE, CUET, and Dean of Electrical and Computer Engineering. He has over 170 publications in journals and conferences on data mining, distributed computing, and machine learning. His leadership has significantly fostered research growth and academic excellence in many aspects.

Dr. K. M. Azharul Hasan, Professor, Department of CSE, KUET, has served as the Head of CSE and Dean of EEE, making significant contributions to engineering education in Bangladesh. He earned the University Gold Medal at Khulna University, completed his M.Eng. at AIT, Thailand, and obtained a Ph.D. from the University of Fukui, Japan, specializing in flexible data warehouse design. Currently, his research focuses on Big Data and Natural Language Processing, driving advancements in data management, computational intelligence, and AI.

Dr. M Shamim Kaiser is a professor and Chairman at the Institute of Information Technology, Jahangirnagar University. He has authored over 100 research papers on machine learning, cyber security, and cognitive radio networks. His leadership at IIT has driven academic and research excellence in ICT.