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  2023 (1)
An attention-based hybrid architecture with explainability for depressive social media text detection in Bangla. Ghosh, T.; Banna, M. H. A.; Nahian, M. J. A.; Uddin, M. N.; Kaiser, M. S.; and Mahmud, M. Expert Systems with Applications, 213: 119007. March 2023.
An attention-based hybrid architecture with explainability for depressive social media text detection in Bangla [link]Paper   doi   link   bibtex   abstract  
  2022 (25)
A Cyber-Physical Fusion System for Stress Detection Using Multimodal and Social Media Data. Raisa, J. F.; Jahan, S.; and Kaiser, M. S. In Hossain, S.; Hossain, M. S.; Kaiser, M. S.; Majumder, S. P.; and Ray, K., editor(s), Proceedings of International Conference on Fourth Industrial Revolution and Beyond 2021, of Lecture Notes in Networks and Systems, pages 615–627, Singapore, 2022. Springer Nature
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Computational Intelligence in Detection and Support of Autism Spectrum Disorder. Ahmed, S.; Nur, S. B.; Farhad Hossain, M.; Kaiser, M. S.; Mahmud, M.; and Chen, T. In Chen, T.; Carter, J.; Mahmud, M.; and Khuman, A. S., editor(s), Artificial Intelligence in Healthcare: Recent Applications and Developments, of Brain Informatics and Health, pages 179–197. Springer Nature, Singapore, 2022.
Computational Intelligence in Detection and Support of Autism Spectrum Disorder [link]Paper   doi   link   bibtex   abstract  
Computational Intelligence in Depression Detection. Rahat Shahriar Zawad, M.; Yeaminul Haque, M.; Kaiser, M. S.; Mahmud, M.; and Chen, T. In Chen, T.; Carter, J.; Mahmud, M.; and Khuman, A. S., editor(s), Artificial Intelligence in Healthcare: Recent Applications and Developments, of Brain Informatics and Health, pages 145–163. Springer Nature, Singapore, 2022.
Computational Intelligence in Depression Detection [link]Paper   doi   link   bibtex   abstract  
Explainable AI-based Alzheimer’s Prediction and Management Using Multimodal Data. Jahan, S.; Taher, K. A.; Kaiser, M. S.; Mahmud, M.; Rahman, M. S.; Hosen, A. S. M. S.; and Ra, I. March 2022.
Explainable AI-based Alzheimer’s Prediction and Management Using Multimodal Data [link]Paper   doi   link   bibtex   abstract  
ABOT: an open-source online benchmarking tool for machine learning-based artefact detection and removal methods from neuronal signals. Fabietti, M.; Mahmud, M.; Lotfi, A.; and Kaiser, M. S. Brain Informatics, 9(1): 19. September 2022.
ABOT: an open-source online benchmarking tool for machine learning-based artefact detection and removal methods from neuronal signals [link]Paper   doi   link   bibtex   abstract  
Rhythms in Healthcare. Kaiser, M. S.; Mahmud, M.; and Al Mamun, S., editors. of Studies in Rhythm EngineeringSpringer Nature, Singapore, 2022.
Rhythms in Healthcare [link]Paper   doi   link   bibtex  
RoseNet: Rose leave dataset for the development of an automation system to recognize the diseases of rose. Sazzad, S.; Rajbongshi, A.; Shakil, R.; Akter, B.; and Kaiser, M. S. Data in Brief, 44. October 2022. Publisher: Elsevier
RoseNet: Rose leave dataset for the development of an automation system to recognize the diseases of rose [link]Paper   doi   link   bibtex  
Guest editorial: intelligent ubiquitous computing and advanced learning systems for biomedical engineering. Chakraborty, C.; Khosravi, M.; Garg, L.; Kaiser, M. S.; Li, X.; and Song, H. The Journal of Engineering, 2022(11): 1037–1040. 2022. _eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1049/tje2.12206
Guest editorial: intelligent ubiquitous computing and advanced learning systems for biomedical engineering [link]Paper   doi   link   bibtex   abstract  
Low-Cost Stand-Alone Smart Irrigation System: A Case Study. Chowdhury, F. H.; Raisa, R. A.; Azad, M. S. U.; Kaiser, M. S.; and Mahmud, M. In Kaiser, M. S.; Ray, K.; Bandyopadhyay, A.; Jacob, K.; and Long, K. S., editor(s), Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering, of Lecture Notes in Networks and Systems, pages 349–356, Singapore, 2022. Springer Nature
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Deep Neural Networks for Brain Tumor Detection from MRI Images. Mahbub, M. K.; Biswas, M.; Miah, M. A. M.; and Kaiser, M. S. In Kaiser, M. S.; Ray, K.; Bandyopadhyay, A.; Jacob, K.; and Long, K. S., editor(s), Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering, of Lecture Notes in Networks and Systems, pages 473–485, Singapore, 2022. Springer Nature
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Development of Mobile Application for Detection and Grading of Diabetic Retinopathy. Kipli, K.; Hui, L. Y.; Tajudin, N. M. A.; Sapawi, R.; Sahari, S. K.; Mat, D. A. A.; Jalil, M. A.; Ray, K.; Shamim Kaiser, M.; and Mahmud, M. In Kaiser, M. S.; Bandyopadhyay, A.; Ray, K.; Singh, R.; and Nagar, V., editor(s), Proceedings of Trends in Electronics and Health Informatics, of Lecture Notes in Networks and Systems, pages 339–349, Singapore, 2022. Springer
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Implementation of Real-Time Automated Attendance System Using Deep Learning. Hasan, H. M.; Rahman, M. M.; Khan, M. A.; Meghla, T. I.; Al Mamun, S.; and Kaiser, M. S. In Kaiser, M. S.; Ray, K.; Bandyopadhyay, A.; Jacob, K.; and Long, K. S., editor(s), Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering, of Lecture Notes in Networks and Systems, pages 121–132, Singapore, 2022. Springer Nature
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InterPlanetary File System-Based Decentralized and Secured Electronic Health Record System Using Lightweight Algorithm. Sharmin, S.; Sarker, I. H.; Shamim Kaiser, M.; and Arefin, M. S. In Arefin, M. S.; Kaiser, M. S.; Bandyopadhyay, A.; Ahad, M. A. R.; and Ray, K., editor(s), Proceedings of the International Conference on Big Data, IoT, and Machine Learning, of Lecture Notes on Data Engineering and Communications Technologies, pages 691–702, Singapore, 2022. Springer
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Developing a Framework for Credit Card Fraud Detection. Arafath, Y.; Roy, A. C.; Shamim Kaiser, M.; and Arefin, M. S. In Arefin, M. S.; Kaiser, M. S.; Bandyopadhyay, A.; Ahad, M. A. R.; and Ray, K., editor(s), Proceedings of the International Conference on Big Data, IoT, and Machine Learning, of Lecture Notes on Data Engineering and Communications Technologies, pages 637–651, Singapore, 2022. Springer
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Classification of ECG Ventricular Beats Assisted by Gaussian Parameters’ Dictionary. Salleh, S. H.; Noman, F.; Hussain, H.; Ting, C.; Hamid, S. R. b. G. S.; Sh-Hussain, H.; Jalil, M. A.; Zubaidi, A. L. A.; Rizvi, S. Z. H.; Kipli, K.; Jacob, K.; Ray, K.; Kaiser, M. S.; Mahmud, M.; and Ali, J. In Kaiser, M. S.; Ray, K.; Bandyopadhyay, A.; Jacob, K.; and Long, K. S., editor(s), Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering, of Lecture Notes in Networks and Systems, pages 533–548, Singapore, 2022. Springer Nature
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Facial Detection for Neonatal Infant Pain Using Facial Geometry Features and LBP. Ritu, J. T.; Shakil, M. S. H.; Hasan, M. N. I.; Al Mamun, S.; Kaiser, M. S.; and Mahmud, M. In Kaiser, M. S.; Ray, K.; Bandyopadhyay, A.; Jacob, K.; and Long, K. S., editor(s), Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering, of Lecture Notes in Networks and Systems, pages 509–518, Singapore, 2022. Springer Nature
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Drop-Shaped Fractal Patch Antenna for THz Applications. Garhwal, A.; Jalil, M. A.; Mahmud, M.; Kaiser, M. S.; Ray, K.; Yupapin, P.; Prabpal, P.; Rizvi, S. Z. H.; Jacob, K.; Bandyopadhyay, A.; and Ali, J. In Kaiser, M. S.; Ray, K.; Bandyopadhyay, A.; Jacob, K.; and Long, K. S., editor(s), Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering, of Lecture Notes in Networks and Systems, pages 405–410, Singapore, 2022. Springer Nature
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GSR Signals Features Extraction for Emotion Recognition. Kipli, K.; Latip, A. A. A.; Lias, K.; Bateni, N.; Yusoff, S. M.; Tajudin, N. M. A.; Jalil, M. A.; Ray, K.; Shamim Kaiser, M.; and Mahmud, M. In Kaiser, M. S.; Bandyopadhyay, A.; Ray, K.; Singh, R.; and Nagar, V., editor(s), Proceedings of Trends in Electronics and Health Informatics, of Lecture Notes in Networks and Systems, pages 329–338, Singapore, 2022. Springer
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Toward Machine Learning-Based Psychological Assessment of Autism Spectrum Disorders in School and Community. Ahmed, S.; Hossain, M. F.; Nur, S. B.; Shamim Kaiser, M.; and Mahmud, M. In Kaiser, M. S.; Bandyopadhyay, A.; Ray, K.; Singh, R.; and Nagar, V., editor(s), Proceedings of Trends in Electronics and Health Informatics, of Lecture Notes in Networks and Systems, pages 139–149, Singapore, 2022. Springer
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Toward Deep Learning-Based Automated Speed and Line Change Detection System in Perspective of Bangladesh. Abdullah-Al-Mahmod; Usmani, S. A.; Salam, M. A.; Foyjul Haque Somrat, M.; and Shamim Kaiser, M. In Kaiser, M. S.; Bandyopadhyay, A.; Ray, K.; Singh, R.; and Nagar, V., editor(s), Proceedings of Trends in Electronics and Health Informatics, of Lecture Notes in Networks and Systems, pages 351–361, Singapore, 2022. Springer
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Performance Analysis of MC-CDMA-Based Cognitive Radio Network Under Rayleigh Fading Channel. Kabir, M. A.; and Kaiser, M. S. In Kaiser, M. S.; Bandyopadhyay, A.; Ray, K.; Singh, R.; and Nagar, V., editor(s), Proceedings of Trends in Electronics and Health Informatics, of Lecture Notes in Networks and Systems, pages 651–662, Singapore, 2022. Springer
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Chapter 12 - Prediction of energy generation target of hydropower plants using artificial neural networks. Kumar, K.; Saini, G.; Kumar, N.; Kaiser, M. S.; Kannan, R.; and Shah, R. In Kumar, K.; Rao, R. S.; Kaiwartya, O.; Kaiser, M. S.; and Padmanaban, S., editor(s), Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies, pages 309–320. Elsevier, January 2022.
Chapter 12 - Prediction of energy generation target of hydropower plants using artificial neural networks [link]Paper   doi   link   bibtex   abstract  
Chapter 3 - IoET-SG: Integrating internet of energy things with smart grid. Islam, M. S.; Islam, M. M.; Ahmed, S.; Rahman, M. S.; Kumar, K.; and Kaiser, M. S. In Kumar, K.; Rao, R. S.; Kaiwartya, O.; Kaiser, M. S.; and Padmanaban, S., editor(s), Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies, pages 49–61. Elsevier, January 2022.
Chapter 3 - IoET-SG: Integrating internet of energy things with smart grid [link]Paper   doi   link   bibtex   abstract  
Explainable AI-based Alzheimer’s Prediction and Management Using Multimodal Data. Jahan, S.; Taher, K. A.; Kaiser, M. S.; Mahmud, M.; Rahman, M. S.; Hosen, A. S. M. S.; and Ra, I. . March 2022. Publisher: Preprints
Explainable AI-based Alzheimer’s Prediction and Management Using Multimodal Data [link]Paper   doi   link   bibtex   abstract  
A Survey on Predicting Player’s Performance and Team Recommendation in Game of Cricket Using Machine Learning. Biswas, M.; Niamat Ullah Akhund, T. M.; Mahbub, M. K.; Saiful Islam, S. M.; Sorna, S.; and Shamim Kaiser, M. In Joshi, A.; Mahmud, M.; Ragel, R. G.; and Thakur, N. V., editor(s), Information and Communication Technology for Competitive Strategies (ICTCS 2020), of Lecture Notes in Networks and Systems, pages 223–230, Singapore, 2022. Springer
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  2021 (9)
Attention-Based Bi-Directional Long-Short Term Memory Network for Earthquake Prediction. Banna, M. H. A.; Ghosh, T.; Nahian, M. J. A.; Taher, K. A.; Kaiser, M. S.; Mahmud, M.; Hossain, M. S.; and Andersson, K. IEEE Access, 9: 56589–56603. 2021. Conference Name: IEEE Access
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6G Access Network for Intelligent Internet of Healthcare Things: Opportunity, Challenges, and Research Directions. Kaiser, M. S.; Zenia, N.; Tabassum, F.; Mamun, S. A.; Rahman, M. A.; Islam, M. S.; and Mahmud, M. In Kaiser, M. S.; Bandyopadhyay, A.; Mahmud, M.; and Ray, K., editor(s), Proceedings of International Conference on Trends in Computational and Cognitive Engineering, of Advances in Intelligent Systems and Computing, pages 317–328, Singapore, 2021. Springer
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A Combined Framework of InterPlanetary File System and Blockchain to Securely Manage Electronic Medical Records. Al Mamun, A.; Faruk Jahangir, M. U.; Azam, S.; Kaiser, M. S.; and Karim, A. In Kaiser, M. S.; Bandyopadhyay, A.; Mahmud, M.; and Ray, K., editor(s), Proceedings of International Conference on Trends in Computational and Cognitive Engineering, of Advances in Intelligent Systems and Computing, pages 501–511, Singapore, 2021. Springer
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A Blockchain-Based Scheme for Sybil Attack Detection in Underwater Wireless Sensor Networks. Arifeen, M. M.; Al Mamun, A.; Ahmed, T.; Kaiser, M. S.; and Mahmud, M. In Kaiser, M. S.; Bandyopadhyay, A.; Mahmud, M.; and Ray, K., editor(s), Proceedings of International Conference on Trends in Computational and Cognitive Engineering, of Advances in Intelligent Systems and Computing, pages 467–476, Singapore, 2021. Springer
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Anomaly Detection in Electroencephalography Signal Using Deep Learning Model. Tahura, S.; Hasnat Samiul, S. M.; Shamim Kaiser, M.; and Mahmud, M. In Kaiser, M. S.; Bandyopadhyay, A.; Mahmud, M.; and Ray, K., editor(s), Proceedings of International Conference on Trends in Computational and Cognitive Engineering, of Advances in Intelligent Systems and Computing, pages 205–217, Singapore, 2021. Springer
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Application of Feature Engineering with Classification Techniques to Enhance Corporate Tax Default Detection Performance. Satu, M. S.; Zoynul Abedin, M.; Khanom, S.; Ouenniche, J.; and Shamim Kaiser, M. In Kaiser, M. S.; Bandyopadhyay, A.; Mahmud, M.; and Ray, K., editor(s), Proceedings of International Conference on Trends in Computational and Cognitive Engineering, of Advances in Intelligent Systems and Computing, pages 53–63, Singapore, 2021. Springer
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Cascade Classification of Face Liveliness Detection Using Heart Beat Measurement. Rahman, M. M.; Mamun, S. A.; Kaiser, M. S.; Islam, M. S.; and Rahman, M. A. In Kaiser, M. S.; Bandyopadhyay, A.; Mahmud, M.; and Ray, K., editor(s), Proceedings of International Conference on Trends in Computational and Cognitive Engineering, of Advances in Intelligent Systems and Computing, pages 581–590, Singapore, 2021. Springer
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Comparative Analysis of Different Classifiers on EEG Signals for Predicting Epileptic Seizure. Sharma, M. K.; Ray, K.; Yupapin, P.; Kaiser, M. S.; Ong, C. T.; and Ali, J. In Kaiser, M. S.; Bandyopadhyay, A.; Mahmud, M.; and Ray, K., editor(s), Proceedings of International Conference on Trends in Computational and Cognitive Engineering, of Advances in Intelligent Systems and Computing, pages 193–204, Singapore, 2021. Springer
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Deep Learning in Mining Biological Data. Mahmud, M.; Kaiser, M. S.; McGinnity, T. M.; and Hussain, A. Cognitive Computation, 13(1): 1–33. 2021.
Deep Learning in Mining Biological Data [link]Paper   doi   link   bibtex   abstract  
  2020 (7)
Blockchain-enable Contact Tracing for Preserving User Privacy During COVID-19 Outbreak. Arifeen, M. M.; Mamun, A. A.; Kaiser, M. S.; and Mahmud, M. . July 2020. Publisher: Preprints
Blockchain-enable Contact Tracing for Preserving User Privacy During COVID-19 Outbreak [link]Paper   doi   link   bibtex   abstract  
3D DenseNet Ensemble in 4-Way Classification of Alzheimer’s Disease. Ruiz, J.; Mahmud, M.; Modasshir, M.; Shamim Kaiser, M.; and Alzheimer’s Disease Neuroimaging Initiative, f. t. In Mahmud, M.; Vassanelli, S.; Kaiser, M. S.; and Zhong, N., editor(s), Brain Informatics, of Lecture Notes in Computer Science, pages 85–96, Cham, 2020. Springer International Publishing
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Attack Detection in Internet of Things using Software Defined Network and Fuzzy Neural Network. Farhin, F.; Sultana, I.; Islam, N.; Kaiser, M. S.; Rahman, M. S.; and Mahmud, M. In 2020 Joint 9th International Conference on Informatics, Electronics Vision (ICIEV) and 2020 4th International Conference on Imaging, Vision Pattern Recognition (icIVPR), pages 1–6, August 2020.
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A Monitoring System for Patients of Autism Spectrum Disorder Using Artificial Intelligence. Al Banna, M. H.; Ghosh, T.; Taher, K. A.; Kaiser, M. S.; and Mahmud, M. In Mahmud, M.; Vassanelli, S.; Kaiser, M. S.; and Zhong, N., editor(s), Brain Informatics, of Lecture Notes in Computer Science, pages 251–262, Cham, 2020. Springer International Publishing
doi   link   bibtex   abstract  
Artificial and Internet of Healthcare Things Based Alzheimer Care During COVID 19. Jesmin, S.; Kaiser, M. S.; and Mahmud, M. In Mahmud, M.; Vassanelli, S.; Kaiser, M. S.; and Zhong, N., editor(s), Brain Informatics, of Lecture Notes in Computer Science, pages 263–274, Cham, 2020. Springer International Publishing
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Application of deep learning in detecting neurological disorders from magnetic resonance images: a survey on the detection of Alzheimer’s disease, Parkinson’s disease and schizophrenia. Noor, M. B. T.; Zenia, N. Z.; Kaiser, M. S.; Mamun, S. A.; and Mahmud, M. Brain Informatics, 7(1): 11. 2020.
Application of deep learning in detecting neurological disorders from magnetic resonance images: a survey on the detection of Alzheimer’s disease, Parkinson’s disease and schizophrenia [link]Paper   doi   link   bibtex   abstract  
Brain Informatics, Voice In Settings: 13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings. Mahmud, M.; Vassanelli, S.; Kaiser, M. S.; and Zhong, N., editors. of Lecture Notes in Artificial IntelligenceSpringer International Publishing, 2020.
Brain Informatics, Voice In Settings: 13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings [link]Paper   doi   link   bibtex   abstract  
  2019 (3)
Assay Type Detection Using Advanced Machine Learning Algorithms. Tania, M. H.; Lwin, K. T.; Shabut, A. M.; Abu-Hassan, K. J.; Kaiser, M. S.; and Hossain, M. A. In 2019 13th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), pages 1–8, August 2019. ISSN: 2573-3214
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ANFIS based Trust Management Model to Enhance Location Privacy in Underwater Wireless Sensor Networks. Arifeen, M. M.; Islam, A. A.; Rahman, M. M.; Taher, K. A.; Islam, M. M.; and Kaiser, M. S. In 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE), pages 1–6, February 2019.
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Camera Model Identification using Deep CNN and Transfer Learning Approach. Banna, M. H. A.; Haider, M. A.; Nahian, M. J. A.; Islam, M. M.; Taher, K. A.; and Kaiser, M. S. In 2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST), pages 626–630, January 2019.
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  2018 (4)
A multidimensional trust evaluation model for MANETs. Shabut, A. M.; Kaiser, M. S.; Dahal, K. P.; and Chen, W. Journal of Network and Computer Applications, 123: 32–41. December 2018.
A multidimensional trust evaluation model for MANETs [link]Paper   doi   link   bibtex   abstract  
ADEPTNESS: Alzheimer’s Disease Patient Management System Using Pervasive Sensors - Early Prototype and Preliminary Results. Niamat Ullah Akhund, T. M.; Mahi, M. J. N.; Hasnat Tanvir, A. N. M.; Mahmud, M.; and Kaiser, M. S. In Wang, S.; Yamamoto, V.; Su, J.; Yang, Y.; Jones, E.; Iasemidis, L.; and Mitchell, T., editor(s), Brain Informatics, of Lecture Notes in Computer Science, pages 413–422, Cham, 2018. Springer International Publishing
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An IoT-Belief Rule Base Smart System to Assess Autism. Alam, M. E.; Kaiser, M. S.; Hossain, M. S.; and Andersson, K. In 2018 4th International Conference on Electrical Engineering and Information Communication Technology (iCEEiCT), pages 672–676, September 2018.
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An Energy Conserving Routing Scheme for Wireless Body Sensor Nanonetwork Communication. Afsana, F.; Asif-Ur-Rahman, M.; Ahmed, M. R.; Mahmud, M.; and Kaiser, M. S. IEEE Access, 6: 9186–9200. 2018. Conference Name: IEEE Access
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  2017 (1)
Neuro-fuzzy selection algorithm for optimal relaying in OFDM systems. Kaiser et al. , M S. International Journal of Autonomous and Adaptive Communications Systems, 10(2): 213–235. 2017.
Neuro-fuzzy selection algorithm for optimal relaying in OFDM systems [link]Paper   doi   link   bibtex   abstract  
  undefined (3)
Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies - 1st Edition.
Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies - 1st Edition [link]Paper   link   bibtex  
IET Digital Library: Internet of Things (IoT) and blockchain-based solutions to confront COVID-19 pandemic.
IET Digital Library: Internet of Things (IoT) and blockchain-based solutions to confront COVID-19 pandemic [link]Paper   link   bibtex