Khan Md. Hasib

According to our database, Khan Md. Hasib authored at least 26 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Harnessing Large Language Models Over Transformer Models for Detecting Bengali Depressive Social Media Text: A Comprehensive Study.

Ahmadul Karim Chowdhury, Md. Saidur Rahman Sujon, Md. Shirajus Salekin Shafi, Tasin Ahmmad, Sifat Ahmed, Khan Md. Hasib, Faisal Muhammad Shah

CoRR, 2024

2023

Depression Detection From Social Networks Data Based on Machine Learning and Deep Learning Techniques: An Interrogative Survey.

Khan Md. Hasib, Md. Rafiqul Islam, Shadman Sakib, Md. Ali Akbar, Imran Razzak, Mohammad Shafiul Alam

IEEE Trans. Comput. Soc. Syst., August, 2023

Strategies for enhancing the performance of news article classification in Bangla: Handling imbalance and interpretation.

Khan Md. Hasib, Nurul Akter Towhid, Kazi Omar Faruk, Jubayer Al Mahmud, Muhammad Firoz Mridha

Eng. Appl. Artif. Intell., 2023

Addressing Uncertainty in Imbalanced Histopathology Image Classification of HER2 Breast Cancer: An Interpretable Ensemble Approach With Threshold Filtered Single Instance Evaluation (SIE).

Md Sakib Hossain Shovon, Muhammad Firoz Mridha, Khan Md. Hasib, Sultan Alfarhood, Mejdl S. Safran, Dunren Che

IEEE Access, 2023

AlzheimerNet: An Effective Deep Learning Based Proposition for Alzheimer's Disease Stages Classification From Functional Brain Changes in Magnetic Resonance Images.

F. M. Javed Mehedi Shamrat, Shamima Akter, Sami Azam, Asif Karim, Pronab Ghosh, Zarrin Tasnim, Khan Md. Hasib, Friso De Boer, Kawsar Ahmed

IEEE Access, 2023

MCNN-LSTM: Combining CNN and LSTM to Classify Multi-Class Text in Imbalanced News Data.

Khan Md. Hasib, Sami Azam, Asif Karim, Ahmed Al Marouf, F. M. Javed Mehedi Shamrat, Sidratul Montaha, Kheng Cher Yeo, Mirjam Jonkman, Reda Alhajj, Jon G. Rokne

IEEE Access, 2023

Early Autism Disorder Detection Through Visualizing Eye-Tracking Patterns Using Compact Convolutional Transformers.

Md. Humaion Kabir Mehedi, Irfana Arafin, Khan Md. Hasib, Farhin Rahman, Md. Mustakin Alam, Rufaida Tasin, Annajiat Alim Rasel

Proceedings of the 9th International Conference on Computer Technology Applications, 2023

Bengali News Abstractive Summarization: T5 Transformer and Hybrid Approach.

Khan Md. Hasib, Md. Atiqur Rahman, Mustavi Ibne Masum, Friso De Boer, Sami Azam, Asif Karim

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

An Overview of Bengali Speech Recognition: Methods, Challenges, and Future Direction.

Nabila Tasnia, Mahidul Islam, Mahi Shahriar Rony, Nishat Tanzim, Khan Md. Hasib, Mohammad Shafiul Alam

Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023

A Multi-modal Deep Learning Approach for Predicting Dhaka Stock Exchange.

Md. Nabil Rahman Khan, Omor Al Tanim, Most. Sadia Salsabil, S. M. Raiyan Reza, Khan Md. Hasib, Mohammad Shafiul Alam

Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023

Classification of Potato Disease with Digital Image Processing Technique: A Hybrid Deep Learning Framework.

Fatema Tuj Johora Faria, Mukaffi Bin Moin, Ahmed Al Wase, Md. Rabius Sani, Khan Md. Hasib, Mohammad Shafiul Alam

Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023

2022

Convolutional Auto-Encoder and Independent Component Analysis Based Automatic Place Recognition for Moving Robot in Invariant Season Condition.

Md. Tariqul Islam, Khan Md. Hasib, Md. Mahbubur Rahman, Abdur Nur Tusher, Mohammad Shafiul Alam, Md. Rafiqul Islam

Hum. Centric Intell. Syst., December, 2022

Bangladesh Airlines Sentiment Review Dataset.

Khan Md. Hasib, Nurul Akter Towhid, Md. Golam Rabiul Alam

Dataset, October, 2022

Bangladesh Road Accident Dataset.

Khan Md. Hasib, Md. Imran Hasan Showrov

Dataset, October, 2022

3D Gesture Recognition and Adaptation for Human-Robot Interaction.

Jubayer Al Mahmud, Bandhan Chandra Das, Jungpil Shin, Khan Md. Hasib, Rifat Sadik, Muhammad Firoz Mridha

IEEE Access, 2022

BMNet-5: A Novel Approach of Neural Network to Classify the Genre of Bengali Music Based on Audio Features.

Khan Md. Hasib, Anika Tanzim, Jungpil Shin, Kazi Omar Faruk, Jubayer Al Mahmud, Muhammad Firoz Mridha

IEEE Access, 2022

Dementia Prediction Using Machine Learning.

Sara Dhakal, Sami Azam, Khan Md. Hasib, Asif Karim, Mirjam Jonkman, A. S. M. Farhan Al Haque

Proceedings of the CENTERIS 2022 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2022

A Machine Learning and Explainable AI Approach for Predicting Secondary School Student Performance.

Khan Md. Hasib, Farhana Rahman, Rashik Hasnat, Md. Golam Rabiul Alam

Proceedings of the 12th IEEE Annual Computing and Communication Workshop and Conference, 2022

COVID-19 Prediction based on Infected Cases and Deaths of Bangladesh using Deep Transfer Learning.

Khan Md. Hasib, Shadman Sakib, Jubayer Al Mahmud, Kamruzzaman Mithu, Md. Saifur Rahman, Mohammad Shafiul Alam

Proceedings of the 2022 IEEE World AI IoT Congress (AIIoT), 2022

2021

HSDLM: A Hybrid Sampling With Deep Learning Method for Imbalanced Data Classification.

Khan Md. Hasib, Nurul Akter Towhid, Md. Rafiqul Islam

Int. J. Cloud Appl. Comput., 2021

Efficient Prediction of Water Quality Index (WQI) Using Machine Learning Algorithms.

Md. Mehedi Hassan, Md. Mahedi Hassan, Laboni Akter, Md. Mushfiqur Rahman, Sadika Zaman, Khan Md. Hasib, Nusrat Jahan, Raisun Nasa Smrity, Jerin Farhana, M. Raihan, Swarnali Mollick

Hum. Centric Intell. Syst., 2021

DeepFakes: Detecting Forged and Synthetic Media Content Using Machine Learning.

S. M. Zobaed, Md Fazle Rabby, Md Istiaq Hossain, Ekram Hossain, Sazib Hasan, Asif Karim, Khan Md. Hasib

CoRR, 2021

A Comparative Study of AHP and Fuzzy AHP Method for Inconsistent Data.

Md. Ashek-Al-Aziz, Sagar Mahmud, Md. Azizul Islam, Jubayer Al Mahmud, Khan Md. Hasib

CoRR, 2021

Active Learning with an Adaptive Classifier for Inaccessible Big Data Analysis.

Sadia Jahan, Md. Rafiqul Islam, Khan Md. Hasib, Usman Naseem, Md. Saiful Islam

Proceedings of the International Joint Conference on Neural Networks, 2021

A Performance Based Study on Deep Learning Algorithms in the Effective Prediction of Breast Cancer.

Pronab Ghosh, Sami Azam, Khan Md. Hasib, Asif Karim, Mirjam Jonkman, Adnan Anwar

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

A Survey of Methods for Managing the Classification and Solution of Data Imbalance Problem.

Khan Md. Hasib, Md. Sadiq Iqbal, Faisal Muhammad Shah, Jubayer Al Mahmud, Mahmudul Hasan Popel, Md. Imran Hossain Showrov, Shakil Ahmed, Obaidur Rahman

CoRR, 2020