Mr Mehedi Hassan
Higher Degree by Research Candidate
School of Electrical and Mechanical Engineering
College of Engineering and Information Technology
Md Mehedi Hassan is engaged in a research project focused on the diagnosis of liver diseases using abdominal CT imaging and deep learning. His research integrates computer science, data science, and clinical knowledge to develop advanced artificial intelligence frameworks for medical image analysis, based on real-world industry datasets
| Year | Citation |
|---|---|
| 2026 | Tahosin, M. S., Sheakh, M. A., Alam, M. J., Hassan, M. M., Bairagi, A. K., Abdulla, S., . . . El-Shafai, W. (2026). FedVGM: Enhancing Federated Learning Performance on Multi-Dataset Medical Images with XAI. IEEE Journal of Biomedical and Health Informatics, 30(2), 1272-1285. Scopus1 WoS1 |
| 2026 | Haque, M. I., Islam, S., Chowa, S. S., Rony, M. A. H., Fatema, K., Hassan, M. M., . . . Azam, S. (2026). Attention-driven deep object detection for improved gallbladder cancer diagnosis from ultrasound images. Engineering Applications of Artificial Intelligence, 176, 114757. |
| 2025 | Chowa, S. S., Bhuiyan, M. R. I., Tahosin, M. S., Karim, A., Montaha, S., Hassan, M. M., . . . Azam, S. (2025). An automated privacy-preserving self-supervised classification of COVID-19 from lung CT scan images minimizing the requirements of large data annotation. Scientific Reports, 15(1), 226. Scopus11 Europe PMC2 |
| 2025 | Kusla, V., Brar, G. S., Kaur, H., Sandhu, R., Prabha, C., Hassan, M. M., . . . El-Shafai, W. (2025). Chameleon swarm algorithm with Morlet wavelet mutation for superior optimization performance. Scientific Reports, 15(1), 13971. Scopus2 |
| 2025 | Hassan, M. M., Nag, A., Biswas, R., Ali, M. S., Zaman, S., Bairagi, A. K., & Kaushal, C. (2025). Explainable artificial intelligence for natural language processing: A survey. Data and Knowledge Engineering, 160, 102470. Scopus2 |
| 2025 | Bajaj, K., Jain, S., Singh, R., Prabha, C., Hassan, M. M., Bairagi, A. K., & Islam, S. M. S. (2025). Smart offloading for IoT application: Building a fog-cloud based context aware offloading framework and exploring potential for integration with blockchain. Computers and Electrical Engineering, 123, 110292. Scopus1 |
| 2025 | Siddiqa, A., Khan, W. Z., Bibi, M., Fayyaz, A. M., Hassan, M. M., & Karim, A. (2025). A Novel IoT-Based Smart Recognition System for Distracted Drivers Using ACS Optimized Deep CNN Models. International Journal of Distributed Sensor Networks, 2025(1). |
| 2025 | Saber, S. M., Thowai, K. Z., Rahman, M. A., Hassan, M. M., Bari, A. B. M. M., & Raihan, A. (2025). High-accuracy prediction of vessels’ estimated time of arrival in seaports: A hybrid machine learning approach. Maritime Transport Research, 8, 100133. Scopus6 |
| 2025 | Islam, M. T., Swapnil, S. S., Billal, M. M., Karim, A., Shafiabady, N., & Hassan, M. M. (2025). Resource constraint crop damage classification using depth channel shuffling. Engineering Applications of Artificial Intelligence, 144, 110117. Scopus5 |
| 2025 | Nag, A., Hassan, M. M., Karim, A., & Kishor Kumar Reddy, C. (2025). Preface. Generative AI in Neurodegenerative Disorders Innovations Views and Obstacles, xvii-xxi. |
| 2025 | Joseph, S., Joshi, H., Malhotra, M., Fathima, S., Wagh, M., Kulkarni, K., . . . Hassan, M. (2025). GA-AGN: a generative adversarial network and attention gated network model for enhanced lung cancer detection using chest CT scans. EngMedicine, 2(3, article no. 100077), 1-13. Scopus2 |
| 2025 | Sana, T. Z., Abdulla, S., Nag, A., Das, A., Hassan, M. M., Fiza, Z. Z., . . . Kabir, S. R. R. (2025). Advancing federated learning: a systematic literature review of methods, challenges, and applications. IEEE Access, 13, 153817-153844. Scopus4 |
| 2025 | Das, I., Sheakh, M. A., Abdulla, S., Tahosin, M. S., Hassan, M. M., Zaman, S., & Shukla, A. (2025). Improving medical x-ray imaging diagnosis with attention mechanisms and robust transfer learning techniques. IEEE Access, 13, 159002-159027. Scopus2 WoS2 |
| 2025 | Das, N., Hossain, M. B., Adhikary, A., Raha, A. D., Qiao, Y., Hassan, M. M., & Bairagi, A. K. (2025). Enlightened prognosis: hepatitis prediction with an explainable machine learning approach. PLoS One, 20(3, article no. e0319078), 1-36. Scopus2 |
| 2024 | Monga, S., Singh, A. R., Saluja, N., Prabha, C., Malhotra, S., Karim, A., & Hassan, M. M. (2024). Advanced beamforming and reflection control in intelligent reflecting surfaces with integrated channel estimation. Iet Microwaves Antennas and Propagation, 18(12), 917-931. Scopus3 |
| 2024 | Rony, M. A. H., Fatema, K., Raiaan, M. A. K., Hassan, M. M., Azam, S., Karim, A., . . . Leach, A. (2024). Artificial intelligence-driven advancements in Otitis Media diagnosis: a systematic review. IEEE Access, 12, 99282-99307. Scopus12 |
| 2024 | Kaur, B. P., Singh, H., Hans, R., Sharma, S. K., Sharma, C., & Hassan, M. M. (2024). A Genetic algorithm aided hyper parameter optimization based ensemble model for respiratory disease prediction with Explainable AI. Plos One, 12(e0308015), 1-32. Scopus9 Europe PMC3 |
| 2024 | Hasan, M. Z., Montaha, S., Khan, I. U., Hassan, M. M., Mahmud, A. A., Rafid, A. K. H., . . . Islam, S. M. S. (2024). Fast and efficient lung abnormality identification with explainable AI: a comprehensive framework for chest CT scan and X-Ray images. IEEE Access, 12, 31117-31135. Scopus13 |
| 2024 | Haque, R., Hassan, M. M., Bairagi, A. K., & Shariful Islam, S. M. (2024). NeuroNet19: an explainable deep neural network model for the classification of brain tumors using magnetic resonance imaging data. Scientific Reports, 14(1), 1524. Scopus76 Europe PMC24 |
| 2024 | Kumari, S., Prabha, C., Karim, A., Hassan, M. M., & Azam, S. (2024). A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019–2023. Iet Information Security, 2024(1). Scopus23 |
| 2024 | Pradeepa, S., Jomy, E., Vimal, S., Hassan, M. M., Dhiman, G., Karim, A., & Kang, D. (2024). HGATT_LR: transforming review text classification with hypergraphs attention layer and logistic regression. Scientific Reports, 14(1), 19614. Scopus5 |
| 2024 | Monga, S., Saluja, N., Prabha, C., Garg, R., Bairagi, A. K., & Hassan, M. M. (2024). Optimising multi-user wireless networks through discrete Fourier transform-based channel estimation with cascaded intelligent reflecting surfaces. Iet Wireless Sensor Systems, 14(4), 144-156. Scopus7 |
| 2024 | Sharma, D., Prabha, C., Mehedi Hassan, M., Abdulla, S., Kumar Bairagi, A., Alshathri, S., & El-Shafai, W. (2024). Securing X-Ray Images Into Cover Images Using Hybrid EBS Steganography With Five-Layer Cryptography. IEEE Access, 12, 165050-165067. Scopus5 |
| 2024 | Kaur, B. P., Singh, H., Hans, R., Sharma, S. K., Kaushal, C., Hassan, M. M., & Shah, M. A. (2024). An augmentation aided concise CNN based architecture for COVID-19 diagnosis in real time. Scientific Reports, 14(1), 1136. Scopus13 Europe PMC2 |
| 2024 | Hassan, M. M., Haque, R., Islam, S. M. S., Meshref, H., Alroobaea, R., Masud, M., & Bairagi, A. K. (2024). NeuroWave-Net: Enhancing epileptic seizure detection from EEG brain signals via advanced convolutional and long short-term memory networks. Aims Bioengineering, 11(1), 85-109. Scopus8 |
| 2024 | Hassan, M. M., Zaman, S., Rahman, M. M., Bairagi, A. K., El-Shafai, W., Rathore, R. S., & Gupta, D. (2024). Efficient prediction of coronary artery disease using machine learning algorithms with feature selection techniques. Computers and Electrical Engineering, 115, 109130. Scopus39 |
| 2024 | Raihan, M., Azam, S., Akter, L., Hassan, M. M., Quadir, R., Karim, A., . . . More, A. (2024). Risk Factors Categorizations of Ischemic Heart Disease in South-Western Bangladesh. Data Intelligence, 6(3), 834-868. |
| 2024 | Nag, A., Hassan, M. M., Das, A., Sinha, A., Chand, N., Kar, A., . . . Alkhayyat, A. (2024). Exploring the applications and security threats of Internet of Thing in the cloud computing paradigm: A comprehensive study on the cloud of things. Transactions on Emerging Telecommunications Technologies, 35(4). Scopus46 |
| 2024 | Das, M., Nag, A., Hassan, M. M., Santra, A., Chand, N., Yasmin, F., . . . Alkhayyat, A. (2024). Synergy of 6G technology and IoT networks for transformative applications. International Journal of Communication Systems, 37(14). Scopus20 |
| 2024 | Singh, B., Sepahvand, A., Sihag, P., Singh, K., Prabha, C., Nag, A., . . . Kang, D. (2024). Development of soft computing-based models for forecasting water quality index of Lorestan Province, Iran. Scientific Reports, 14(1), 25980. Scopus2 |
| 2024 | Sinha, A., Narula, D., Pandey, S. K., Kumar, A., Hassan, M. M., Jha, P., . . . Tiwari, M. K. (2024). CARDPSoML: Comparative approach to analyze and predict cardiovascular disease based on medical report data and feature fusion approach. Health Science Reports, 7(1). Scopus6 |
| 2024 | Ahammad, M., Sani, A., Rahman, K., Islam, M. T., Masud, M. M. R., Hassan, M. M., . . . Mukta, M. S. H. (2024). RoBERTa-GCN: A Novel Approach for Combating Fake News in Bangla Using Advanced Language Processing and Graph Convolutional Networks. IEEE Access, 12, 132644-132663. Scopus16 |
| 2024 | Raha, A. D., Gain, M., Debnath, R., Adhikary, A., Qiao, Y., Hassan, M. M., . . . Islam, S. M. S. (2024). Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism. IEEE Access, 12, 51942-51965. Scopus63 |
| 2024 | Nag, A., Mondal, H., Mehedi Hassan, M., Al-Shehari, T., Kadrie, M., Al-Razgan, M., . . . Kumar Bairagi, A. (2024). TumorGANet: A Transfer Learning and Generative Adversarial Network-Based Data Augmentation Model for Brain Tumor Classification. IEEE Access, 12, 103060-103081. Scopus39 |
| 2024 | Raha, A. D., Dihan, F. J., Gain, M., Murad, S. A., Adhikary, A., Hossain, M. B., . . . Bairagi, A. K. (2024). Modeling and Predictive Analytics of Breast Cancer Using Ensemble Learning Techniques: An Explainable Artificial Intelligence Approach. Computers Materials and Continua, 81(3), 4033-4048. Scopus3 |
| 2024 | Rao, G. M., Ramesh, D., Sharma, V., Sinha, A., Hassan, M. M., & Gandomi, A. H. (2024). AttGRU-HMSI: enhancing heart disease diagnosis using hybrid deep learning approach. Scientific Reports, 14(1), 7833. Scopus36 Europe PMC9 |
| 2023 | Hassan, M. M., Hassan, M. M., Mollick, S., Khan, M. A. R., Yasmin, F., Bairagi, A. K., . . . Rahman, A. (2023). A Comparative Study, Prediction and Development of Chronic Kidney Disease Using Machine Learning on Patients Clinical Records. Human Centric Intelligent Systems, 3(2), 92-104. Scopus43 |
| 2023 | Hassan, M. M., Rony, M. A. T., Khan, M. A. R., Hassan, M. M., Yasmin, F., Nag, A., . . . El-Shafai, W. (2023). Machine Learning-Based Rainfall Prediction: Unveiling Insights and Forecasting for Improved Preparedness. IEEE Access, 11, 132196-132222. Scopus49 |
| 2023 | Banerjee, P., Roy, S., Sinha, A., Hassan, M. M., Burje, S., Agrawal, A., . . . El-Shafai, W. (2023). MTD-DHJS: Makespan-Optimized Task Scheduling Algorithm for Cloud Computing with Dynamic Computational Time Prediction. IEEE Access, 11, 105578-105618. Scopus53 |
| 2023 | Ahsan, M. M., Ali, M. S., Hassan, M. M., Abdullah, T. A., Gupta, K. D., Bagci, U., . . . Soliman, N. F. (2023). Monkeypox Diagnosis with Interpretable Deep Learning. IEEE Access, 11, 81965-81980. Scopus64 |
| 2023 | Hassan, M. M., Hassan, M. M., Yasmin, F., Khan, M. A. R., Zaman, S., Galibuzzaman., . . . Bairagi, A. K. (2023). A comparative assessment of machine learning algorithms with the Least Absolute Shrinkage and Selection Operator for breast cancer detection and prediction. Decision Analytics Journal, 7, 100245. Scopus71 |
| 2023 | Yasmin, F., Hassan, M. M., Hasan, M., Zaman, S., Kaushal, C., El-Shafai, W., & Soliman, N. F. (2023). PoxNet22: A Fine-Tuned Model for the Classification of Monkeypox Disease Using Transfer Learning. IEEE Access, 11, 24053-24076. Scopus79 |
| 2023 | Yasmin, F., Hassan, M. M., Hasan, M., Zaman, S., Bairagi, A. K., El-Shafai, W., . . . Chun, Y. C. (2023). GastroNet: Gastrointestinal Polyp and Abnormal Feature Detection and Classification With Deep Learning Approach. IEEE Access, 11, 97605-97624. Scopus25 |
| 2023 | Sharma, K., Hassan, M. M., Pandey, S. K., Saini, M., Doriya, R., Ojha, M. K., . . . Soliman, N. F. (2023). Cloud Based Multi-Robot Task Scheduling Using PMW Algorithm. IEEE Access, 11, 146003-146013. Scopus18 |
| 2023 | Hassan, M. M., Zaman, S., Mollick, S., Hassan, M. M., Raihan, M., Kaushal, C., & Bhardwaj, R. (2023). An efficient Apriori algorithm for frequent pattern in human intoxication data. Innovations in Systems and Software Engineering, 19(1), 61-69. Scopus17 |
| 2023 | Yasmin, F., Hassan, M. M., Hasan, M., Zaman, S., Angon, J. H., Bairagi, A. K., & Changchun, Y. (2023). AQIPred: a hybrid model for high precision time specific Forecasting of Air Quality Index with Cluster Analysis. Human-Centric Intelligent Systems, 3(3), 275-295. Scopus17 |
| 2022 | Mehedi Hassan, M., Mollick, S., & Yasmin, F. (2022). An unsupervised cluster-based feature grouping model for early diabetes detection. Healthcare Analytics, 2, 100112. Scopus71 |
| 2022 | Yasmin, F., Hassan, M. M., Zaman, S., Aung, S. T., Karim, A., & Azam, S. (2022). A Forecasting Prognosis of the Monkeypox Outbreak Based on a Comprehensive Statistical and Regression Analysis. Computation, 10(10), 177. Scopus21 |
| 2022 | Raihan, M., Hassan, M. M., Hasan, T., Bulbul, A. A. M., Hasan, M. K., Hossain, M. S., . . . Abdul Awal, M. (2022). Development of a Smartphone-Based Expert System for COVID-19 Risk Prediction at Early Stage. Bioengineering, 9(7), 281. Scopus18 |
| 2022 | Aung, S. T., Hassan, M., Brady, M., Mannan, Z. I., Azam, S., Karim, A., . . . Wongsawat, Y. (2022). Entropy-Based Emotion Recognition from Multichannel EEG Signals Using Artificial Neural Network. Computational Intelligence and Neuroscience, 2022, 6000989. Scopus17 Europe PMC3 |
| 2021 | Hassan, M. M., Hassan, M. M., Akter, L., Rahman, M. M., Zaman, S., Hasib, K. M., . . . Mollick, S. (2021). Efficient Prediction of Water Quality Index (WQI) Using Machine Learning Algorithms. Human Centric Intelligent Systems, 1(3), 86-97. Scopus114 |
| 2020 | Kabiraj, S., Akter, L., Raihan, M., Diba, N. J., Podder, E., & Hassan, M. M. (2020). Retraction Notice: Prediction of Recurrence and Non-recurrence Events of Breast Cancer using Bagging Algorithm (2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT) DOI: 10.1109/ICCCNT49239.2020.9225440). 2020 11th International Conference on Computing Communication and Networking Technologies Icccnt 2020, 1. |
| Year | Citation |
|---|---|
| 2025 | Hassan, M. M., Yasmin, F., Islam, S. M. S., Bairagi, A. K., & Aung, S. T. (2025). Brain networks in neuroscience: Personalization unveiled via artificial intelligence. |
| 2025 | Nag, A., Hassan, M. M., Karim, A., & Kishor Kumar Reddy, C. (2025). Generative AI in neurodegenerative disorders: Innovations, views, and obstacles. |
| 2024 | Kaur, A., Kaushal, C., Hassan, M. M., & Aung, S. T. (2024). Federated Deep Learning for Healthcare: A Practical Guide with Challenges and Opportunities. CRC Press. DOI Scopus3 |
| Year | Citation |
|---|---|
| 2025 | Yasmin, F., Hasan, M., Hassan, M. M., & Yu, X. (2025). Neuroinformatics in the era of personalized neuroscience. In Brain Networks in Neuroscience Personalization Unveiled Via Artificial Intelligence (pp. 285-309). |
| 2025 | Vandana., Sharma, C., & Hassan, M. M. (2025). Blockchain technology and the metaverse: revolutionizing healthcare data security and efficiency. In Healthcare Frontiers in the Metaverse Innovations and Impacts (pp. 1-17). Elsevier. DOI |
| 2025 | Raihan, M., Nag, A., Hassan, M. M., & Bairagi, A. K. (2025). Psychological Stress Prediction of Human Using Machine Learning Algorithms. In Applied Intelligence for Healthcare Informatics Techniques and Applications (pp. 173-187). CRC Press. DOI |
| 2025 | Hasan, M., Yasmin, F., Yu, X., & Hassan, M. M. (2025). Artificial intelligence in neuroscience. In Brain Networks in Neuroscience Personalization Unveiled Via Artificial Intelligence (pp. 67-95). |
| 2025 | Htun, K. E., Kyaw, M. T., Htun, H., Oo, K. K., Aung, S. T., & Hassan, M. M. (2025). Intelligent movement-controlled brain-computer interface system based on EEG signal. In Brain Networks in Neuroscience Personalization Unveiled Via Artificial Intelligence (pp. 211-233). |
| 2025 | Hasan, S. M. M., Uddin, M. P., Al Mamun, M., Sharif, M. I., Islam, M. R., Azam, S., . . . Karim, A. (2025). A generative predictive model for medical data via PCA and iterative K-means fusion. In Generative AI in Neurodegenerative Disorders Innovations Views and Obstacles (pp. 123-146). |
| 2024 | Haque, R., Hassan, M. M., & Islam, S. M. S. (2024). From scarce to abundant: Enhancing learning with federated transfer techniques. In Federated Deep Learning for Healthcare A Practical Guide with Challenges and Opportunities (pp. 224-232). CRC Press. DOI |
| 2024 | Mondal, H., Hassan, M. M., Nag, A., & Bairagi, A. K. (2024). The integration of federated deep learning with internet of things in healthcare. In Federated Deep Learning for Healthcare A Practical Guide with Challenges and Opportunities (pp. 143-159). CRC Press. DOI Scopus3 |
| 2024 | Nag, A., Hassan, M. M., Das, A., Kaushal, C., & Thakur, D. (2024). Blockchain-based identity authentication for Internet of Things systems: A comprehensive survey. In Artificial Intelligence and Internet of Things Based Augmented Trends for Data Driven Systems (pp. 163-180). CRC Press. DOI Scopus4 |
| 2024 | Roy, S., Mim, F. F., Hassan, M. M., & Islam, S. M. S. (2024). Federated learning-based AI approaches for predicting stroke. In Federated Deep Learning for Healthcare A Practical Guide with Challenges and Opportunities (pp. 233-249). CRC Press. DOI Scopus1 |
| 2024 | Nag, A., Mondal, H., Hassan, M. M., & Saha, P. (2024). Transcending Boundaries: Assessing Transfer Learning’s Effectiveness in ECG-Based Heart Disease Prediction. In Soft Computing in Industry 5 0 for Sustainability (pp. 159-175). Springer Nature Switzerland. DOI |
| Year | Citation |
|---|---|
| 2025 | Joseph, S., Joshi, H., Hassan, M. M., Kulkarni, K., Mayekar, O., & Upadhyaya, N. (2025). Quantum Artificial Intelligence: Bridging AI and Quantum Computing for Next-Generation Problem Solving. In Lecture Notes in Networks and Systems Vol. 1313 LNNS (pp. 388-397). Springer Nature Switzerland. DOI |
| 2025 | Abdal, M. N., Haque, M. A., Hassan, M. M., Adnan, M. N., Adhikary, A., Biswas, S., . . . Bairagi, A. K. (2025). IoT-Based Smart Mushroom Farming, and Classification of Mushroom Using Deep Learning. In Lecture Notes in Networks and Systems Vol. 1235 LNNS (pp. 567-584). Springer Nature Singapore. DOI Scopus1 |
| 2025 | Yasmin, F., Hasan, M., Abdulla, S., Hassan, M. M., Radjabovich, R. S., Khader, A., . . . Xue, Y. (2025). Optimizing Brain Tumor Segmentation Networks Through Evolutionary Neural Architecture Search. In Proceedings 2025 International Conference on Digital Image Computing Techniques and Applications Dicta 2025 (pp. 107-114). AUSTRALIA, Adelaide: IEEE COMPUTER SOC. DOI |
| 2025 | Hasan, M., Yasmin, F., Liu, H., Hassan, M. M., Radjabovich, R. S., & Xue, Y. (2025). Automated Polyp Segmentation Using Evolutionary Neural Architecture Search. In Proceedings 2025 International Conference on Digital Image Computing Techniques and Applications Dicta 2025 (pp. 301-307). AUSTRALIA, Adelaide: IEEE COMPUTER SOC. DOI |
| 2024 | Nag, A., Hassan, M. M., Mandal, D., Chand, N., Islam, M. B., Meena, V. P., & Benedetto, F. (2024). A Review of Machine Learning Methods for IoT Network-Centric Anomaly Detection. In 2024 47th International Conference on Telecommunications and Signal Processing Tsp 2024 (pp. 26-31). IEEE. DOI Scopus11 |
| 2024 | Golder, K., Nag, A., Tarun, F. F., Mondal, H., Hassan, M. M., & Karim, A. (2024). EmotionRF: Enhancing Emotion Classification from EEG Signals Using Machine Learning with Explainable AI. In 2024 27th International Conference on Computer and Information Technology Iccit 2024 Proceedings (pp. 19-24). IEEE. DOI Scopus2 |
| 2024 | Hassan, M. M., Raihan, M., Hassan, M. M., & Bairagi, A. K. (2024). BSER: A Learning Framework for Bangla Speech Emotion Recognition. In Proceedings 6th International Conference on Electrical Engineering and Information and Communication Technology Iceeict 2024 (pp. 410-415). IEEE. DOI Scopus4 |
| 2023 | Ava, L. T., Karim, A., Hassan, M. M., Faisal, F., Azam, S., Al Haque, A. S. M. F., & Zaman, S. (2023). Intelligent identification of hate speeches to address the increased rate of individual mental degeneration. In Procedia Computer Science Vol. 219 (pp. 1527-1537). Elsevier BV. DOI Scopus3 |
| 2023 | Liu, H., Yadav, A., Hu, L. Q., Mehedi Hassan, M., Mollick, S., & Talwar, D. (2023). Research on the Ecological Environment Evaluation of Technological Talents in the Shuangcheng Economic Circle of Chengdu Region. In Lecture Notes in Electrical Engineering Vol. 1068 LNEE (pp. 25-37). Springer Nature Singapore. DOI |
| 2023 | Hassan, M. M., Karim, A., Mollick, S., Azam, S., Ignatious, E., & Farhan Al Haque, A. S. M. (2023). An Apriori Algorithm-Based Association Rule Analysis to detect Human Suicidal Behaviour. In Procedia Computer Science Vol. 219 (pp. 1279-1288). Elsevier BV. DOI Scopus21 |
| 2022 | Ghosh, P., Raihan, M., Hassan, M. M., Akter, L., Zaman, S., & Awal, M. A. (2022). Fake News Detection of COVID-19 Using Machine Learning Techniques. In Lecture Notes in Networks and Systems Vol. 371 (pp. 467-476). Springer International Publishing. DOI Scopus2 |
| 2022 | Sarder, A., Raihan, M., Hassan, M. M., Alvi, N., Rabbi, M. M. H., & Mirja, H. (2022). Human Activity Recognition using Time Series and Machine Learning Techniques. In ACM International Conference Proceeding Series (pp. 400-406). ACM. DOI |
| 2022 | Hassan, M. M., Raihan, M., Khan, M. H. B., Dhali, T., Rahman, M. M., & Sneha, Z. H. (2022). A Hybrid Machine Learning Approach to Predict the Risk of Having Stroke. In ACM International Conference Proceeding Series (pp. 460-465). ACM. DOI Scopus3 |
| 2021 | Hassan, M. M., Peya, Z. J., Mollick, S., Billah, M. A. M., Shakil, M. M. H., & Dulla, A. U. (2021). Diabetes Prediction in Healthcare at Early Stage Using Machine Learning Approach. In 2021 12th International Conference on Computing Communication and Networking Technologies Icccnt 2021. IEEE. DOI Scopus24 |
| 2021 | Hu, L. Q., Yadav, A., Liu, H., Hassan, M. M., & Mollick, S. (2021). Construction of Reverse Logistics Network of Waste Electrical Appliances. In 2021 4th International Conference on Electrical Computer and Communication Technologies Icecct 2021 (pp. 1-8). IEEE. DOI |
| 2021 | Hassan, M. M., Khan, M. A. R., Islam, K. K., Hassan, M. M., & Rabbi, M. M. F. (2021). Depression Detection system with Statistical Analysis and Data Mining Approaches. In 2021 International Conference on Science and Contemporary Technologies Icsct 2021 (pp. 1-6). IEEE. DOI Scopus13 |
| 2021 | Hassan, M. M., Billah, M. A. M., Rahman, M. M., Zaman, S., Shakil, M. M. H., & Angon, J. H. (2021). Early Predictive Analytics in Healthcare for Diabetes Prediction Using Machine Learning Approach. In 2021 12th International Conference on Computing Communication and Networking Technologies Icccnt 2021. IEEE. DOI Scopus21 |
| 2021 | Rony, M. A. T., Hassan, M. M., Ahmed, E., Karim, A., Azam, S., & Reza, D. S. A. A. (2021). Identifying Long-Term Deposit Customers: A Machine Learning Approach. In 2nd International Informatics and Software Engineering Conference Iisec 2021 (pp. 1-6). IEEE. DOI Scopus5 |
| 2021 | Billah, M. A. M., Hassan, M. M., Raihan, M., Mollick, S., Shakil, M. M. H., & Angon, J. H. (2021). A Data Mining Approach to Identify Human Behavior on Different Activities of Student. In 2021 12th International Conference on Computing Communication and Networking Technologies Icccnt 2021 (pp. 01-05). IEEE. DOI Scopus2 |
| 2021 | Raihan, M. M. S., Ahmed, E., Karim, A., Azam, S., Raihan, M., Akter, L., & Hassan, M. M. (2021). Chronic Renal Disease Prediction using Clinical Data and Different Machine Learning Techniques. In 2nd International Informatics and Software Engineering Conference Iisec 2021 (pp. 1-5). IEEE. DOI Scopus7 |
| 2021 | Mumenin, K. M., Reza, K. J., Shathi, S. S., Akter, H., Raihan, M., Hassan, M. M., . . . Awal, M. A. (2021). COVID-19 Fake News Detection on Social Media. In 6th International Conference on Computer Communication Chemical Materials and Electronic Engineering Ic4me2 2021 (pp. 1-4). IEEE. DOI Scopus4 |
| 2020 | Hassan, M. M., Peya, Z. J., Zaman, S., Angon, J. H., Keya, A. I., & Dulla, A. U. (2020). A Machine Learning Approach to Identify the Correlation and Association among the Students' Drug Addict Behavior. In 2020 11th International Conference on Computing Communication and Networking Technologies Icccnt 2020 (pp. 1-5). IEEE. DOI Scopus9 |
| 2020 | Kabiraj, S., Akter, L., Raihan, M., DIba, N. J., Podder, E., & Hassan, M. M. (2020). Prediction of Recurrence and Non-recurrence Events of Breast Cancer using Bagging Algorithm. In 2020 11th International Conference on Computing Communication and Networking Technologies Icccnt 2020 (pp. 1-5). IEEE. DOI Scopus23 |
| 2020 | Raihan, M., Islam, M. T., Ghosh, P., Hassan, M. M., Angon, J. H., & Kabiraj, S. (2020). Human Behavior Analysis using Association Rule Mining Techniques. In 2020 11th International Conference on Computing Communication and Networking Technologies Icccnt 2020 (pp. 1-5). IEEE. DOI Scopus12 |
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