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Journal Articles
- 2024
[j5]M. Raihan
, Anjan Debnath, Prokash Chondra Adhikary, Mehedi Masud, Hossam Meshref, Anupam Kumar Bairagi:
Bridging Technology and Psychology: AI-Driven Analysis of Student's Class Lecture Activity for Improved Learning Outcomes. IEEE Access 12: 147320-147349 (2024)- 2023
- [j4]Md. Mehedi Hassan, Md. Mahedi Hassan, Swarnali Mollick, Md. Asif Rakib Khan, Farhana Yasmin, Anupam Kumar Bairagi, M. Raihan, Shibbir Ahmed Arif, Amrina Rahman:
A Comparative Study, Prediction and Development of Chronic Kidney Disease Using Machine Learning on Patients Clinical Records. Hum. Centric Intell. Syst. 3(2): 92-104 (2023) - [j3]Md. Mehedi Hassan, Sadika Zaman, Swarnali Mollick, Md. Mahedi Hassan, M. Raihan, Chetna Kaushal, Rajat Bhardwaj:
An efficient Apriori algorithm for frequent pattern in human intoxication data. Innov. Syst. Softw. Eng. 19(1): 61-69 (2023) - [j2]Anjan Debnath, Md. Mahedi Hasan, M. Raihan, Nadim Samrat, Mashael M. Alsulami, Mehedi Masud, Anupam Kumar Bairagi:
A Smartphone-Based Detection System for Tomato Leaf Disease Using EfficientNetV2B2 and Its Explainability with Artificial Intelligence (AI). Sensors 23(21): 8685 (2023) - 2021
- [j1]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:
Efficient Prediction of Water Quality Index (WQI) Using Machine Learning Algorithms. Hum. Centric Intell. Syst. 1(3-4): 86 (2021)
Conference and Workshop Papers
- 2023
- [c29]Md. Humayun Kabir, Nadim Samrat, Abdullah Al Mahmud, Rasmy Akter, M. Raihan:
Mental Stress Prediction From the Text of Social Media Using Machine Learning Techniques. ICCCNT 2023: 1-7 - 2022
- [c28]Rahul Deb Mohalder, Juliet Polok Sarkar, Khandkar Asif Hossain, Laboni Paul, M. Raihan:
Efficient Machine Learning Techniques to Predict Lung Cancer. ICCA 2022: 233-239 - [c27]Apu Sarder, M. Raihan, Md. Mehedi Hassan, Nasif Alvi, Md Mehedi Hasan Rabbi, M. D. Hasan Mirja:
Human Activity Recognition using Time Series and Machine Learning Techniques. ICCA 2022: 400-406 - [c26]Md. Mehedi Hassan, M. Raihan, Md. Hasanul Banna Khan, Tutul Dhali, Md. Mushfiqur Rahman, Zarmina Huda Sneha:
A Hybrid Machine Learning Approach to Predict the Risk of Having Stroke. ICCA 2022: 460-465 - [c25]M. Raihan, Nasif Alvi, Anupam Kumar Bairagi:
Social Behavior Prediction using Ensemble Learning Algorithms. ICCCNT 2022: 1-5 - [c24]Rahul Deb Mohalder, Khandkar Asif Hossain, Juliet Polok Sarkar, Laboni Paul, M. Raihan, Kamrul Hasan Talukder:
Lung Cancer Detection from Histopathological Images Using Deep Learning. MIET (1) 2022: 201-212 - 2021
- [c23]Md. Al-Mamun Billah, Md. Mehedi Hassan, M. Raihan, Swarnali Mollick, Md. Mehadi Hasan Shakil, Jarif Huda Angon:
A Data Mining Approach to Identify Human Behavior on Different Activities of Student. ICCCNT 2021: 1-5 - [c22]Shagoto Rahman, M. Raihan, Sabia Khatun Mithila:
Smartphone-based Skin Cancer Detection using Image Processing and Convolutional Neural Network. ICCCNT 2021: 1-6 - [c21]M. Raihan, Anupam Kumar Bairagi, Shagoto Rahman:
A Machine Learning Based Study to Predict Depression with Monitoring Actigraph Watch Data. ICCCNT 2021: 1-5 - [c20]Juliet Polok Sarkar, M. Raihan, Avijit Biswas, Khandkar Asif Hossain, Keya Sarder, Nilanjana Majumder, Suriya Sultana, Kajal Sana:
Paddy Price Prediction in the South-Western Region of Bangladesh. ICO 2021: 258-267 - [c19]Khandkar Asif Hossain, M. Raihan, Avijit Biswas, Juliet Polok Sarkar, Suriya Sultana, Kajal Sana, Keya Sarder, Nilanjana Majumder:
Paddy Disease Prediction Using Convolutional Neural Network. ICO 2021: 268-276 - [c18]Promila Ghosh, M. Raihan, Md. Mehedi Hassan, Laboni Akter, Sadika Zaman, Md. Abdul Awal:
Fake News Detection of COVID-19 Using Machine Learning Techniques. ICO 2021: 467-476 - 2020
- [c17]M. Raihan, Md. Tanvir Islam, Promila Ghosh, Jarif Huda Angon, Md. Mehedi Hassan, Fahmida Farzana:
A Machine Learning Approach to Identify the Correlation and Association among the Students' Educational Behavior. ICCA 2020: 71:1-71:6 - [c16]Md. Tanvir Islam, M. Raihan, Nasrin Aktar, Md. Shahabub Alam, Romana Rahman Ema, Tajul Islam:
Diabetes Mellitus Prediction using Different Ensemble Machine Learning Approaches. ICCCNT 2020: 1-7 - [c15]Md. Tanvir Islam, M. Raihan, Fahmida Farzana, Nasrin Aktar, Promila Ghosh, Sajib Kabiraj:
Typical and Non-Typical Diabetes Disease Prediction using Random Forest Algorithm. ICCCNT 2020: 1-6 - [c14]Sajib Kabiraj, Laboni Akter, M. Raihan, Nusrat Jahan Diba, Etu Podder, Md. Mehedi Hassan:
Prediction of Recurrence and Non-recurrence Events of Breast Cancer using Bagging Algorithm. ICCCNT 2020: 1-5 - [c13]Sajib Kabiraj, M. Raihan, Nasif Alvi, Marina Afrin, Laboni Akter, Shawmi Akhter Sohagi, Etu Podder:
Breast Cancer Risk Prediction using XGBoost and Random Forest Algorithm. ICCCNT 2020: 1-4 - [c12]Sk. Al Mamun, Md. Mahadi Hassan, Md. Riadul Islam, M. Raihan:
Obstructive Sleep Apnea Detection Based on Sound Interval Frequency using Wearable Device. ICCCNT 2020: 1-4 - [c11]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:
Detection of lung agents through rectangular hollow-core photonic crystal fiber. ICCCNT 2020: 1-5 - [c10]M. Raihan, Md. Tanvir Islam, Promila Ghosh, Md. Mehedi Hassan, Jarif Huda Angon, Sajib Kabiraj:
Human Behavior Analysis using Association Rule Mining Techniques. ICCCNT 2020: 1-5 - [c9]Nazia Anjum Sharupa, Minhaz Rahman, Nasif Alvi, M. Raihan, Afsana Islam, Tanzil Raihan:
Emotion Detection of Twitter Post using Multinomial Naive Bayes. ICCCNT 2020: 1-6 - 2019
- [c8]Promila Ghosh, M. Raihan, Md. Tanvir Islam, Md. Ekhlasur Rahaman:
Safeguard: A Prototype of An Application Programming Interface to Save the Disaster Affected People. ICCCNT 2019: 1-5 - [c7]Md. Bellal Hossain, Etu Podder, Abdullah Al-Mamun Bulbul, Himadri Shekhar Mondal, M. Raihan, Md. Tanvir Islam:
Identification of Cyanide within Hollow Core Photonics Crystal Fiber. ICCCNT 2019: 1-4 - [c6]Md. Tanvir Islam, M. Raihan, Fahmida Farzana, Md. Golam Morshed Raju, Md. Bellal Hossain:
An Empirical Study on Diabetes Mellitus Prediction for Typical and Non-Typical Cases using Machine Learning Approaches. ICCCNT 2019: 1-7 - [c5]Himadri Shekhar Mondal, Prianka Bhattacharjee, Md Mahmud Hassan, Md. Bellal Hossain, Ahmed Saif Muntaseer, M. Raihan:
Parametric Performance Estimation of Wireless Sensor Network Using Fuzzy Logic. ICCCNT 2019: 1-5 - [c4]Md. Ekhlasur Rahaman, S. M. Shamsul Alam, Himadri Shekhar Mondal, Ahmed Saif Muntaseer, Rajib Mandal, M. Raihan:
Performance Analysis of Isolated Speech Recognition Technique Using MFCC and Cross-Correlation. ICCCNT 2019: 1-4 - [c3]M. Raihan, Md. Tanvir Islam, Fahmida Farzana, Md. Golam Morshed Raju, Himadri Shekhar Mondal:
An Empirical Study to Predict Diabetes Mellitus using K-Means and Hierarchical Clustering Techniques. ICCCNT 2019: 1-6 - [c2]M. Raihan, Nasif Alvi, Md. Tanvir Islam, Fahmida Farzana, Md. Mahadi Hassan:
Diabetes Mellitus Risk Prediction Using Artificial Neural Network. IJCCI 2019: 85-97 - 2018
- [c1]Himadri Shekhar Mondal, M. Raihan, Sunanda Roy, Sabyasachi Mondal:
Effective Business Strategy Decision Making Method Using Fuzzy Logic. ICCCNT 2018: 1-4
Informal and Other Publications
- 2023
- [i1]Md Aminul Islam, Shabbir Ahmed Shuvo, Mohammad Abu Tareq Rony, M. Raihan, Md. Abu Sufian:
Unleashing Modified Deep Learning Models in Efficient COVID19 Detection. CoRR abs/2310.14081 (2023)
Coauthor Index
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last updated on 2024-11-07 21:33 CET by the dblp team
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