Effective Business Strategy Decision Making Method Using Fuzzy Logic. - Himadri Shekhar Mondal; M. Raihan; Sunanda Roy; Sabyasachi Mondal (ICCCNT, 2018)

Safeguard: A Prototype of An Application Programming Interface to Save the Disaster Affected People. - Promila Ghosh; M. Raihan; Md Tanvir Islam; Md. Ekhlasur Rahaman (ICCCNT, 2019)

Identification of Cyanide within Hollow Core Photonics Crystal Fiber. - Md. Bellal Hossain; Etu Podder; Abdullah Al-Mamun Bulbul; Himadri Shekhar Mondal; M. Raihan; Md Tanvir Islam (ICCCNT, 2019)

An Empirical Study on Diabetes Mellitus Prediction for Typical and Non-Typical Cases using Machine Learning Approaches. - Md Tanvir Islam; M. Raihan; Fahmida Farzana; Md. Golam Morshed Raju; Md. Bellal Hossain (ICCCNT, 2019)

Parametric Performance Estimation of Wireless Sensor Network Using Fuzzy Logic. - Himadri Shekhar Mondal; Prianka Bhattacharjee; Md Mahmud Hassan; Md. Bellal Hossain; Ahmed Saif Muntaseer; M. Raihan (ICCCNT, 2019)

Performance Analysis of Isolated Speech Recognition Technique Using MFCC and Cross-Correlation. - Md. Ekhlasur Rahaman; S. M. Shamsul Alam; Himadri Shekhar Mondal; Ahmed Saif Muntaseer; Rajib Mandal; M. Raihan (ICCCNT, 2019)

An Empirical Study to Predict Diabetes Mellitus using K-Means and Hierarchical Clustering Techniques. - M. Raihan; Md Tanvir Islam; Fahmida Farzana; Md. Golam Morshed Raju; Himadri Shekhar Mondal (ICCCNT, 2019)

Diabetes Mellitus Risk Prediction Using Artificial Neural Network. - M. Raihan; Nasif Alvi; Md Tanvir Islam; Fahmida Farzana; Md. Mahadi Hassan (IJCCI, 2019)

A Machine Learning Approach to Identify the Correlation and Association among the Students' Educational Behavior. - M. Raihan; Md Tanvir Islam; Promila Ghosh; Jarif Huda Angon; Md. Mehedi Hassan; Fahmida Farzana (ICCA, 2020)

Diabetes Mellitus Prediction using Different Ensemble Machine Learning Approaches. - Md Tanvir Islam; M. Raihan; Nasrin Aktar; Md. Shahabub Alam; Romana Rahman Ema; Tajul Islam (ICCCNT, 2020)

Typical and Non-Typical Diabetes Disease Prediction using Random Forest Algorithm. - Md Tanvir Islam; M. Raihan; Fahmida Farzana; Nasrin Aktar; Promila Ghosh; Sajib Kabiraj (ICCCNT, 2020)

Prediction of Recurrence and Non-recurrence Events of Breast Cancer using Bagging Algorithm. - Sajib Kabiraj; Laboni Akter; M. Raihan; Nusrat Jahan Diba; Etu Podder; Md. Mehedi Hassan (ICCCNT, 2020)

Breast Cancer Risk Prediction using XGBoost and Random Forest Algorithm. - Sajib Kabiraj; M. Raihan; Nasif Alvi; Marina Afrin; Laboni Akter; Shawmi Akhter Sohagi; Etu Podder (ICCCNT, 2020)

Obstructive Sleep Apnea Detection Based on Sound Interval Frequency using Wearable Device. - Sk. Al Mamun; Md. Mahadi Hassan; Md. Riadul Islam; M. Raihan (ICCCNT, 2020)

Detection of lung agents through rectangular hollow-core photonic crystal fiber. - Etu Podder; Abdullah Al-Mamun Bulbul; Md. Bellal Hossain; Md. Ekhlasur Rahaman; Himadri Shekhar Mondal; M. Raihan; Sajib Kabiraj; Md. Mahmudul Hasan; Ahmed Saif Muntaseer (ICCCNT, 2020)

Human Behavior Analysis using Association Rule Mining Techniques. - M. Raihan; Md Tanvir Islam; Promila Ghosh; Md. Mehedi Hassan; Jarif Huda Angon; Sajib Kabiraj (ICCCNT, 2020)

Emotion Detection of Twitter Post using Multinomial Naive Bayes. - Nazia Anjum Sharupa; Minhaz Rahman; Nasif Alvi; M. Raihan; Afsana Islam; Tanzil Raihan (ICCCNT, 2020)

A Data Mining Approach to Identify Human Behavior on Different Activities of Student. - Md. Al-Mamun Billah; Md. Mehedi Hassan; M. Raihan; Swarnali Mollick; Md. Mehadi Hasan Shakil; Jarif Huda Angon (ICCCNT, 2021)

Smartphone-based Skin Cancer Detection using Image Processing and Convolutional Neural Network. - Shagoto Rahman; M. Raihan; Sabia Khatun Mithila (ICCCNT, 2021)

A Machine Learning Based Study to Predict Depression with Monitoring Actigraph Watch Data. - M. Raihan; Anupam Kumar Bairagi; Shagoto Rahman (ICCCNT, 2021)

Fake News Detection of COVID-19 Using Machine Learning Techniques. - Promila Ghosh; M. Raihan; Md. Mehedi Hassan; Laboni Akter; Sadika Zaman; Md. Abdul Awal (ICO, 2021)

Paddy Disease Prediction Using Convolutional Neural Network. - Khandkar Asif Hossain; M. Raihan; Avijit Biswas; Juliet Polok Sarkar; Suriya Sultana; Kajal Sana; Keya Sarder; Nilanjana Majumder (ICO, 2021)

Paddy Price Prediction in the South-Western Region of Bangladesh. - Juliet Polok Sarkar; M. Raihan; Avijit Biswas; Khandkar Asif Hossain; Keya Sarder; Nilanjana Majumder; Suriya Sultana; Kajal Sana (ICO, 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)

A Comparative Analysis of Machine Learning Algorithms to Predict Liver Disease. - Mounita Ghosh; Md. Mohsin Sarker Raihan; M. Raihan; Laboni Akter; Anupam Kumar Bairagi; Sultan S. Alshamrani; Mehedi Masud (Intell. Autom. Soft Comput., 2021)

A Hybrid Machine Learning Approach to Predict the Risk of Having Stroke. - Md. Mehedi Hassan; M. Raihan; Md. Hasanul Banna Khan; Tutul Dhali; Md. Mushfiqur Rahman; Zarmina Huda Sneha (ICCA, 2022)

Efficient Machine Learning Techniques to Predict Lung Cancer. - Rahul Deb Mohalder; Juliet Polok Sarkar; Khandkar Asif Hossain; Laboni Paul; M. Raihan (ICCA, 2022)

Human Activity Recognition using Time Series and Machine Learning Techniques. - Apu Sarder; M. Raihan; Md. Mehedi Hassan; Nasif Alvi; Md Mehedi Hasan Rabbi; M. D. Hasan Mirja (ICCA, 2022)

Social Behavior Prediction using Ensemble Learning Algorithms. - M. Raihan; Nasif Alvi; Anupam Kumar Bairagi (ICCCNT, 2022)

Lung Cancer Detection from Histopathological Images Using Deep Learning. - Rahul Deb Mohalder; Khandkar Asif Hossain; Juliet Polok Sarkar; Laboni Paul; M. Raihan; Kamrul Hasan Talukder (MIET (1), 2022)

Mental Stress Prediction From the Text of Social Media Using Machine Learning Techniques. - Md. Humayun Kabir; Nadim Samrat; Abdullah Al Mahmud 003; Rasmy Akter; M. Raihan (ICCCNT, 2023)

Unleashing Modified Deep Learning Models in Efficient COVID19 Detection. - Md Aminul Islam; Shabbir Ahmed Shuvo; Mohammad Abu Tareq Rony; M. Raihan; Md. Abu Sufian (CoRR, 2023)

A Comparative Study, Prediction and Development of Chronic Kidney Disease Using Machine Learning on Patients Clinical Records. - Md. Mehedi Hassan; Md. Mahedi Hassan; Swarnali Mollick; Md. Asif Rakib Khan; Farhana Yasmin; Anupam Kumar Bairagi; M. Raihan; Shibbir Ahmed Arif; Amrina Rahman (Hum. Centric Intell. Syst., 2023)

An efficient Apriori algorithm for frequent pattern in human intoxication data. - Md. Mehedi Hassan; Sadika Zaman; Swarnali Mollick; Md. Mahedi Hassan; M. Raihan; Chetna Kaushal; Rajat Bhardwaj (Innov. Syst. Softw. Eng., 2023)

A Smartphone-Based Detection System for Tomato Leaf Disease Using EfficientNetV2B2 and Its Explainability with Artificial Intelligence (AI). - Anjan Debnath; Md. Mahedi Hasan; M. Raihan; Nadim Samrat; Mashael M. Alsulami; Mehedi Masud; Anupam Kumar Bairagi (Sensors, 2023)

Analyzing Bangla Drama and TV Series Reviews Using Stacking Method. - Md. Shymon Islam; Ehsanul Imon; M. Raihan; Md Musab Noor; Tasmin Jabin Rasa; Isfat Ara Hasan Ema (ICCA, 2024)

Enhancing Rumor Detection of Twitter Tweets Using a Deep Learning Approach. - Rasmy Akter; Md. Motiur Rahman; Anjan Debnath; Nadim Samrat; Marjana Roman; Abu Naim Khan; Nasif Alvi; M. Raihan (ICCCNT, 2024)

Bridging Technology and Psychology: AI-Driven Analysis of Student's Class Lecture Activity for Improved Learning Outcomes. - M. Raihan; Anjan Debnath; Prokash Chondra Adhikary; Mehedi Masud; Hossam Meshref; Anupam Kumar Bairagi (IEEE Access, 2024)

Risk Factors Categorizations of Ischemic Heart Disease in South-Western Bangladesh. - M. Raihan; Sami Azam; Laboni Akter; Md. Mehedi Hassan; Ryana Quadir; Asif Karim; Saikat Mondal; Arun More (Data Intell., 2024)