Author

MD Mehedi Hassan

Computer Science and Engineering, Khulna University, Bangladesh - Cited by 145 - Computational Biology - Neuroscience - Machine Learning - Software Engineering

Biography

Md Mehedi Hassan Onik received the B.Sc. degree from the Islamic University of Technology, Bangladesh. He is currently pursuing the Ph.D. degree with the Department of Computer Engineering, Inje University, South Korea. His research interests include data privacy, information security, and blockchain technology
Title
Cited by
Year
Efficient prediction of water quality index (WQI) using machine learning algorithms
MM Hassan, MM Hassan, L Akter, MM Rahman, S Zaman, KM Hasib, ...Human-Centric Intelligent Systems 1 (3-4), 86-97, 202118202
18
2021
Early Predictive Analytics in Healthcare for Diabetes Prediction Using Machine Learning Approach
MM Hassan, MAM Billah, MM Rahman, S Zaman, MMH Shakil, JH Angon2021 12th International Conference on Computing Communication and Networking …, 2021202
18
2021
Prediction of recurrence and non-recurrence events of breast cancer using bagging algorithm
S Kabiraj, L Akter, M Raihan, NJ Diba, E Podder, MM Hassan2020 11th International Conference on Computing, Communication and …, 2020202
16
2020
An unsupervised cluster-based feature grouping model for early diabetes detection
MM Hassan, S Mollick, F YasminHealthcare Analytics 2, 100112, 2022202
14
2022
Diabetes Prediction in Healthcare at Early Stage Using Machine Learning Approach
MM Hassan, ZJ Peya, S Mollick, MAM Billah, MMH Shakil, AU Dulla2021 12th International Conference on Computing Communication and Networking …, 2021202
14
2021
Human behavior analysis using association rule mining techniques
M Raihan, MT Islam, P Ghosh, MM Hassan, JH Angon, S Kabiraj2020 11th International conference on computing, communication and …, 2020202
10
2020
Development of a smartphone-based expert system for COVID-19 risk prediction at early stage
M Raihan, MM Hassan, T Hasan, AAM Bulbul, MK Hasan, MS Hossain, ...Bioengineering 9 (7), 281, 2022202
6
2022
Depression detection system with statistical analysis and data mining approaches
MM Hassan, MAR Khan, KK Islam, MM Hassan, MMF Rabbi2021 international conference on science & contemporary technologies (ICSCT …, 2021202
6
2021
PoxNet22: A fine-tuned model for the classification of monkeypox disease using transfer learning
F Yasmin, MM Hassan, M Hasan, S Zaman, C Kaushal, W El-Shafai, ...IEEE Access 11, 2053-2076, 2023202
4
2023
Entropy-based emotion recognition from multichannel EEG signals using artificial neural network
ST Aung, M Hassan, M Brady, ZI Mannan, S Azam, A Karim, S Zaman, ...Computational Intelligence and Neuroscience 2022, 2022202
4
2022
A Forecasting Prognosis of the Monkeypox Outbreak Based on a Comprehensive Statistical and Regression Analysis
F Yasmin, MM Hassan, S Zaman, ST Aung, A Karim, S AzamComputation 10 (10), 177, 2022202
4
2022
Chronic Renal Disease Prediction using Clinical Data and Different Machine Learning Techniques
MMS Raihan, E Ahmed, A Karim, S Azam, M Raihan, L Akter, MM Hassan2021 2nd International Informatics and Software Engineering Conference …, 2021202
4
2021
An efficient Apriori algorithm for frequent pattern in human intoxication data
MM Hassan, S Zaman, S Mollick, MM Hassan, M Raihan, C Kaushal, ...Innovations in Systems and Software Engineering 19 (1), 61-69, 030
2
2023
A Data Mining Approach to Identify Human Behavior on Different Activities of Student
MAM Billah, MM Hassan, M Raihan, S Mollick, MMH Shakil, JH Angon01 1th International Conference on Computing Communication and Networking …, 010
2
2021
Identifying Long-Term Deposit Customers: A Machine Learning Approach
MAT Rony, MM Hassan, E Ahmed, A Karim, S Azam, DSAA Reza01 nd International Informatics and Software Engineering Conference …, 010
2
2021
A Comparative Study, Prediction and Development of Chronic Kidney Disease Using Machine Learning on Patients Clinical Records
MM Hassan, MM Hassan, S Mollick, MAR Khan, F Yasmin, AK Bairagi, ...Human-Centric Intelligent Systems, 1-13, 030
2
2023
COVID-19 fake news detection on social media
COVID-9 fake news detection on social mediaKM Mumenin, KJ Reza, SS Shathi, H Akter, M Raihan, MM Hassan, ...202 International Conference on Computer, Communication, Chemical …, 20220
1
2021
Fake News Detection of COVID-19 Using Machine Learning Techniques
Fake News Detection of COVID-9 Using Machine Learning TechniquesP Ghosh, M Raihan, MM Hassan, L Akter, S Zaman, MA AwalInternational Conference on Intelligent Computing & Optimization, 467-476, 20220
1
2021
Efficient Machine Learning Approaches to Detect Fake News of Covid-19
Efficient Machine Learning Approaches to Detect Fake News of Covid-9S Rahman, M Raihan, KH Talukder, SK Mithila, M Mehedi Hassan, ...Machine Intelligence and Data Science Applications: Proceedings of MIDAS …, 2022202
1
2022
An Apriori Algorithm-Based Association Rule Analysis to detect Human Suicidal Behaviour
MM Hassan, A Karim, S Mollick, S Azam, E Ignatious, ASMF Al HaqueProcedia Computer Science 29, 279-288, 2023202
1
2023

Referred From: https://scholar.google.com/citations?user=Ts2F72QAAAAJ&hl=en

Cited by
Citations 145
h-index 7
i10-index 7
Open Access Journals