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Paper No: 26

A team from AMIR Lab published an article in the esteemed IEEE Journal named IEEE Access (Q1).

𝐀𝐫𝐭𝐢𝐜𝐥𝐞 𝐓𝐢𝐭𝐥𝐞: A Comprehensive Survey on the Process, Methods, Evaluation, and Challenges of Feature Selection.

𝐀𝐮𝐭𝐡𝐨𝐫𝐬: Md Rashedul Islam, Aklima Akter Lima, Sujoy Chandra Das, M. F. Mridha, Akibur Rahman Prodeep , Yutaka Watanobe.

𝐊𝐞𝐲 𝐂𝐨𝐧𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐨𝐧𝐬:
• .This paper precisely focuses on a standard architecture of feature selection that regulates the study’s flow.
• The paper illustrates a broader taxonomy of feature selection and elaborates on various search, evaluation, and learning criteria.
• The paper shows several primarily used result validation and performance measure techniques as well.
• This paper then demonstrates the application of feature selection and classifies them into known sectors.
• In addition, this paper investigates the challenges of FS by applying the methods and exploring them to find a better way to handle them.

Congratulations to all the authors and the Advanced Machine Intelligence Research Lab - AMIR Lab Team.

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No publications in this category.

  1. Md Reazul Islam, Khondokar Oliullah, Md Mohsin Kabir, Munzirul Alom, M.F. Mridha, “Machine learning enabled IoT system for soil nutrients monitoring and crop recommendation”, Journal of Agriculture and Food Research, Volume 14, 2023, 100880, ISSN 2666-1543,https://doi.org/10.1016/j.jafr.2023.100880.

  2. Keya AJ, Shajeeb HH, Rahman MS, Mridha MF (2023) FakeStack: Hierarchical Tri-BERT-CNN-LSTM stacked model for effective fake news detection. PLoS ONE 18(12): e0294701. https://doi.org/10.1371/journal.pone.0294701

  3. Jahin, Md Abrar, Shovon, Md Sakib Hossain, Islam, Md. Saiful, Shin, Jungpil, Mridha, M. F. and Okuyama, Yuichi: “QAmplifyNet: pushing the boundaries of supply chain backorder prediction using interpretable hybrid quantum-classical neural network.” Scientific Reports, 13, 18246 (2023). https://doi.org/10.1038/s41598-023-45406-7

  4. M. S. H. Shovon, M. F. Mridha, K. M. Hasib, S. Alfarhood, M. Safran and D. Che, "Addressing Uncertainty in Imbalanced Histopathology Image Classification of HER2 Breast Cancer: An interpretable Ensemble Approach with Threshold Filtered Single Instance Evaluation (SIE)," in IEEE Access, doi: 10.1109/ACCESS.2023.3327898.

  5. J. R. Jim, M. T. Hosain, M. F. Mridha, M. M. Kabir and J. Shin, "Toward Trustworthy Metaverse: Advancements and Challenges," in IEEE Access, vol. 11, pp. 118318-118347, 2023, doi: 10.1109/ACCESS.2023.3326258.

  6. Keya, Ashfia Jannat, Arpona, Sayefa Arafah, Kabir, Muhammad Mohsin, and Mridha: Recurrent ALBERT for recommendation: A hybrid architecture for accurate and lightweight restaurant recommendations. Cogn. Comput. Syst. 1–15 (2023). https://doi.org/10.1049/ccs2.12090

  7. I. Mahmud, M. M. Kabir, J. Shin, C. Mistry, Y. Tomioka and M. F. Mridha, "Advancing Wildlife Protection: Mask R-CNN for Rail Track Identification and Unwanted Object Detection," in IEEE Access, doi: 10.1109/ACCESS.2023.3313253. (SCIE,Q1, IF=3.90)

  8. Mustak Un Nobi, Md., Md. Rifat, M. F. Mridha, Sultan Alfarhood, Mejdl Safran, and Dunren Che. 2023. "GLD-Det: Guava Leaf Disease Detection in Real-Time Using Lightweight Deep Learning Approach Based on MobileNet" Agronomy 13, no. 9: 2240. https://doi.org/10.3390/agronomy13092240. (SCIE,Q1, IF=3.70)

  9. D. Mistry, M. F. Mridha, M. Safran, S. Alfarhood, A. K. Saha and D. Che, "Privacy-Preserving On-Screen Activity Tracking and Classification in E-Learning Using Federated Learning," in IEEE Access, doi: 10.1109/ACCESS.2023.3299331. (SCIE,Q1, IF=3.90)

  10. A. J. Keya, M. M. Kabir, N. J. Shammey, M. F. Mridha, M. R. Islam and Y. Watanobe, "G-BERT: An Efficient Method for Identifying Hate Speech in Bengali Texts on Social Media," in IEEE Access, doi: 10.1109/ACCESS.2023.3299021. (SCIE,Q1, IF=3.90)

  11. Khan Md Hasib , Nurul Akter Towhid , Kazi Omar Faruk , Jubayer Al Mahmud, M. F. Mridha,” ,Strategies for Enhancing the Performance of News Article Classification in Bangla: Handling Imbalance and Interpretation” Engineering Applications of Artificial Intelligence, Volume 125, 2023,106688, ISSN 0952-1976, https://doi.org/10.1016/j.engappai.2023.106688. (SCI,Q1, IF=8.0)

  12. M. S. H. Shovon, S. J. Mozumder, O. K. Pal, M. F. Mridha, N. Asai and J. Shin, "PlantDet: A Robust Multi-Model Ensemble Method Based on Deep Learning for Plant Disease Detection," in IEEE Access, vol. 11, pp. 34846-34859, 2023, doi: 10.1109/ACCESS.2023.3264835. (SCIE,Q1, IF=3.90)

  13. K. Mridha, M. M. Uddin, J. Shin, S. Khadka and M. F. Mridha, "An Interpretable Skin Cancer Classification Using Optimized Convolutional Neural Network for a Smart Healthcare System," in IEEE Access, vol. 11, pp. 41003-41018, 2023, doi: 10.1109/ACCESS.2023.3269694. (SCIE,Q1, IF=3.90)

  14. Mohammad, Zabir, Arif Reza Anwary, Muhammad Firoz Mridha, Md Sakib Hossain Shovon, and Michael Vassallo. 2023. "An Enhanced Ensemble Deep Neural Network Approach for Elderly Fall Detection System Based on Wearable Sensors" Sensors 23, no. 10: 4774. https://doi.org/10.3390/s23104774. (SCIE, Q1, IF=3.90)

  15. K. Mridha, S. Ghimire, J. Shin, A. Aran, M. M. Uddin and M. F. Mridha, "Automated Stroke Prediction Using Machine Learning: An Explainable and Exploratory Study with a Web Application for Early Intervention," in IEEE Access, vol. 11, pp. 52288-52308, 2023, doi: 10.1109/ACCESS.2023.3278273. (SCIE, Q1, IF=3.90)

  16. Hosen, Sabbir, Jannatul Ferdous Eva, Ayman Hasib, Aloke Kumar Saha, M. F. Mridha, and Anwar Hussen Wadud. "HQA-Data: A Historical Question Answer Generation Dataset from Previous Multi Perspective Conversation." Data in Brief (2023): 109245. (ESCI, Q2, IF=1.20)

  17. Islam, Md. Reazul, Md. Mohsin Kabir, Muhammad Firoz Mridha, Sultan Alfarhood, Mejdl Safran, and Dunren Che. 2023. "Deep Learning-Based IoT System for Remote Monitoring and Early Detection of Health Issues in Real-Time" Sensors 23, no. 11: 5204. https://doi.org/10.3390/s23115204. (SCIE,Q1, IF=3.90)

  18. M. F. Mridha, Zabir Mohammad, Muhammad Mohsin Kabir, Aklima Akter Lima, Sujoy Chandra Das, Md. Rashedul Islam, and Yutaka Watanobe, “An Unsupervised Writer Identification based on Generating Clusterable Embeddings", Computer Systems Science and Engineering 2023, 46(2), 2059-2073. https://doi.org/10.32604/csse.2023.032977. (SCI, Q2, IF=2.20)

  19. Ahsanul Akib, Kamruddin Nur, Suman Saha, Jannatul Ferdous Srabonee , and M. F. Mridha,” Computer Vision-Based IoT Architecture for Post COVID-19 Preventive Measures", JAIT 2023 Vol.14(1): 7-19, doi: 10.12720/jait.14.1.7-19. (ESCI,Q3, IF=1.00).

  20. Mridha M. F., MorolM. K., AliM. A., and SHOVONM. S. H., “convoHER2: A Deep Neural Network for Multi-Stage Classification of HER2 Breast Cancer”, AJSE, vol. 22, no. 1, pp. 53 - 81, May 2023. https://doi.org/10.53799/ajse.v22i1.477 (Scopus, Q4)

  21. Wadud, Md. Anwar Hussen, Mohammed Alatiyyah, and M. F. Mridha. 2023. "Non-Autoregressive End-to-End Neural Modeling for Automatic Pronunciation Error Detection", Applied Sciences,2023, no. 1: 109. https://doi.org/10.3390/app13010109. (SCIE,Q1, IF=2.70)

 

No publications in this category.

 

  1. Md Shamiul Islam, Julkar Naeem, AL Shahriar Emon, Abdul Baten, Md.Abdullah Al Mamun, G. M. Waliullah, Md. Saifur Rahman, M. F. Mridha "Prediction of Buying Intention: Factors Affecting Online Shopping," 2023 International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM), Gazipur, Bangladesh, 2023, pp. 1-6, doi: 10.1109/NCIM59001.2023.10212766.

  2. Bin Siddique, Abu Zobayer and Das, Shoibal and Tabassum, Poonam and Tasir, All Moon and Roy, Shovon and Rahman, Md. Saifur and Mridha, M. F. and Islam, Ashraful, "Late and Early Blight Diseases Identification of Potatoes with a Lightweight Hybrid Transfer Learning Model," 2023 IEEE World AI IoT Congress (AIIoT), Seattle, WA, USA, 2023, pp. 0105-0111, doi: 10.1109/AIIoT58121.2023.10174429

  3. Sakib, Sheikh Rahmatulla and Sara, Kamarun Nahar and Hossain Rasel, Md. Tahmid and Islam Asif, Md. Masudul and Hasan Nahid, Md. Aynul and Rahman, Md. Saifur and Mridha, M. F. and Islam, Ashraful, “Time Series Analysis and Forecasting of Air Quality Index of Dhaka City of Bangladesh," 2023 IEEE World AI IoT Congress (AIIoT), Seattle, WA, USA, 2023, pp. 0063-0069, doi: 10.1109/AIIoT58121.2023.10174539.

 

  1. Mridha, M. F.,Prodeep, Akibur Rahman,Hoque, A. S. M. Morshedul,Islam, Md. Rashedul,Lima, Aklima Akter,Kabir, Muhammad Mohsin,Hamid, Md. Abdul,Watanobe, Yutaka,"A Comprehensive Survey on the Progress, Process, and Challenges of Lung Cancer Detection and Classification",SP-5905230,VL-2022,SN-2040-2295, Journal of Healthcare Engineering, Hindawi. https://doi.org/10.1155/2022/5905230. (Q2, IF=3.822)

  2. Mohammad, Zabir, Muhammad Mohsin Kabir, Muhammad Mostafa Monowar, Md Abdul Hamid, and Muhammad Firoz Mridha. 2022. "Self-Writer: Clusterable Embedding Based Self-Supervised Writer Recognition from Unlabeled Data" Mathematics 10, 2022, no. 24: 4796. https://doi.org/10.3390/math10244796. (SCIE,Q1, IF=2.40)

  3. K. M. Hasib, A. Tanzim, J. Shin, K. O. Faruk, J. A. Mahmud and M. F. Mridha, "BMNet-5: A Novel Approach of Neural Network to Classify the Genre of Bengali Music Based on Audio Features," in IEEE Access, vol. 10, pp. 108545-108563, 2022, doi: 10.1109/ACCESS.2022.3213818. (SCIE,Q1, IF=3.90)

  4. J. A. Mahmud, B. C. Das, J. Shin, K. M. Hasib, R. Sadik and M. F. Mridha, "3D Gesture Recognition and Adaptation for Human–Robot Interaction," in IEEE Access, vol. 10, pp. 116485-116513, 2022, doi: 10.1109/ACCESS.2022.3218679. (SCIE, Q1, IF=3.90)

  5. Shovon, Md Sakib Hossain, Md Jahidul Islam, Mohammed Nawshar Ali Khan Nabil, Md Mohimen Molla, Akinul Islam Jony, and M. F. Mridha. "Strategies for Enhancing the Multi-Stage Classification Performances of HER2 Breast Cancer from Hematoxylin and Eosin Images." Diagnostics 12, no. 11 (2022): 2825. (SCIE,Q2, IF=3.60)

  6. Keya, Ashfia Jannat, Md. Anwar Hussen Wadud, M. F. Mridha, Mohammed Alatiyyah, and Md. Abdul Hamid. 2022. "AugFake-BERT: Handling Imbalance through Augmentation of Fake News Using BERT to Enhance the Performance of Fake News Classification" Applied Sciences 12, 2022, no. 17: 8398. https://doi.org/10.3390/app12178398. (SCIE, Q1, IF=2.70)

  7. M. Anwar Hussen Wadud, M. F. Mridha, J. Shin, K. Nur and A. Kumar Saha, "Deep-Bert: transfer learning for classifying multilingual offensive texts on social media," Computer Systems Science and Engineering 2023, 44(2), 1775-1791. https://doi.org/10.32604/csse.2023.027841 (SCI, Q3, IF=2.20)

  8. Md. Anwar Hussen Wadud, Muhammad Mohsin Kabir, M.F. Mridha, M. Ameer Ali, Md. Abdul Hamid, Muhammad Mostafa Monowar, “How can we manage Offensive Text in social media - A Text Classification Approach using LSTM-BOOST”, International Journal of Information Management Data Insights, Volume 2, Issue 2,2022,100095,ISSN 2667-0968,https://doi.org/10.1016/j.jjimei.2022.100095. (Scopus, Q1)

  9. Fahima Khanam, Farha Akhter Munmun, Nadia Afrin Ritu, Aloke Kumar Saha, and M. F. Mridha,” Text to Speech Synthesis: A Systematic Review, Deep Learning Based Architecture and Future Research Direction” JAIT 2022. (ESCI,Q3, IF=1.00).

  10. Lima, Aklima A., M. F. Mridha, Sujoy C. Das, Muhammad M. Kabir, Md. R. Islam, and Yutaka Watanobe. 2022. "A Comprehensive Survey on the Detection, Classification, and Challenges of Neurological Disorders" Biology 11,2022, no. 3: 469. https://doi.org/10.3390/biology11030469. (SCI,Q1, IF=4.20).

  11. Monowar, Muhammad M., Md. A. Hamid, Faris A. Kateb, Abu Q. Ohi, and M. F. Mridha. 2022. "Self-Supervised Clustering for Leaf Disease Identification" Agriculture 12, no. 6: 814. https://doi.org/10.3390/agriculture12060814 (SCI, Q1, IF=3.60)

  12. Monowar, Muhammad M., Md. A. Hamid, Abu Q. Ohi, Madini O. Alassafi, and M. F. Mridha. 2022. "AutoRet: A Self-Supervised Spatial Recurrent Network for Content-Based Image Retrieval" Sensors 22, 2022, no. 6: 2188. https://doi.org/10.3390/s22062188. (SCIE, Q1, IF=3.90)

  13. M. A. H. Wadud, M. F. Mridha, and M. M. Rahman, “Word Embedding Methods for Word Representation in Deep Learning for Natural Language Processing”, eijs, vol. 63, no. 3, pp. 1349–1361, Mar. 2022. DOI: https://doi.org/10.24996/ijs.2022.63.3.37 (Scopus, Q3)

  14. Md. Mohsin Kabir, Adit Ishraq, Kamruddin Nur, and M. F. Mridha,” Content-Based Image Retrieval Using AutoEmbedder” JAIT 2022 Vol.13(3): 240-248, doi: 10.12720/jait.13.3.240-248 (ESCI, Q3, IF=1.20)

 

No publications in this category.

 

  1. Ishraq, A., Arafah, S., Mim, S.A., Shammey, N.J., Mridha, F., Rahman, M.S. (2023). Cassava Leaf Disease Classification Using Supervised Contrastive Learning. In: Satu, M.S., Moni, M.A., Kaiser, M.S., Arefin, M.S. (eds) Machine Intelligence and Emerging Technologies. MIET 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 490. Springer, Cham. https://doi.org/10.1007/978-3-031-34619-4_6

  2. Nusrat Jahan Shammey,Adit Ishraq, Sayefa Arafah, Sadiya Akter Mim, M. Firoz Mridha,“Classification of Rice Varieties using ResNet-18 Networks” in International Conference on Machine Intelligence and Emerging Technologies 2022 (MIET 2022), Bangladesh.

  3. Md. Abdullah Al Noman Majumder, Eimon Hossain Taief, Md. Nurul Amin Bhuiyan, M.F. Mridha and Aloke Kumar Saha, "Eliminating racial bias at the time of detection Melanoma using Convolution Neural Network (CNN)", In: Raju Pal and Praveen Kumar Shukla (eds), SCRS Conference Proceedings on Intelligent Systems, SCRS, India, 2022, pp. 271-285. https://doi.org/10.52458/978-93-91842-08-6-27

  4. Rahman, A., Al Foisal, M.H., Rahman, M.H., Miah, M.R., Mridha, M.F. (2022). Deep-CNN for Plant Disease Diagnosis Using Low Resolution Leaf Images. In: Chen, J.IZ., Wang, H., Du, KL., Suma, V. (eds) Machine Learning and Autonomous Systems. Smart Innovation, Systems and Technologies, vol 269. Springer, Singapore. https://doi.org/10.1007/978-981-16-7996-4_33

  5. M. D. S. Alam, M. D. S. Rahman, M. D. I. Hosen, K. A. Mubin, S. Hossen and M. F. Mridha, "Bahdanau Attention Based Bengali Image Caption Generation," 2022 International Conference on Decision Aid Sciences and Applications (DASA), 2022, pp. 1073-1077, doi: 10.1109/DASA54658.2022.9765268.

 

  1. A. Ishraq, A. A. Lima, M. M. Kabir, M. S. Rahman and M. F. Mridha, "Assessment of Building Damage on Post-Hurricane Satellite Imagery using improved CNN," 2022 International Conference on Decision Aid Sciences and Applications (DASA), 2022, pp. 665-669, doi: 10.1109/DASA54658.2022.9765025.

 

  1. R. Jani, M. Shariful Islam Shanto, M. Mohsin Kabir, M. Saifur Rahman and M. F. Mridha, "Heart Disease Prediction and Analysis Using Ensemble Architecture," 2022 International Conference on Decision Aid Sciences and Applications (DASA), 2022, pp. 1386-1390, doi: 10.1109/DASA54658.2022.9765237.

 

  1. F. Arefin Nazira, S. Gosh, K. Nur, S. Poul Singh and M. F. Mridha, "Ensure Safe Internet for Children and Teenagers Using Deep Learning," 2022 International Conference on Decision Aid Sciences and Applications (DASA), 2022, pp. 395-400, doi: 10.1109/DASA54658.2022.9765035.

  2. A. R. Prodeep, A. S. M. Morshedul Hoque, M. M. Kabir, M. Saifur Rahman and M. F. Mridha, "Plant Disease Identification from Leaf Images using Deep CNN’s EfficientNet," 2022 International Conference on Decision Aid Sciences and Applications (DASA), 2022, pp. 523-527, doi: 10.1109/DASA54658.2022.9765063.

  3. Lima A.A., Kabir M.M., Das S.C., Hasan M.N., Mridha M. F. (2022) Road Sign Detection Using Variants of YOLO and R-CNN: An Analysis from the Perspective of Bangladesh. In: Arefin M.S., Kaiser M.S., Bandyopadhyay A., Ahad M.A.R., Ray K. (eds) Proceedings of the International Conference on Big Data, IoT, and Machine Learning. Lecture Notes on Data Engineering and Communications Technologies, vol 95. Springer, Singapore. https://doi.org/10.1007/978-981-16-6636-0_42

  4. Mohsin Kabir M., Lima A.A., Mridha M. F., Abdul Hamid M., Monowar M.M. (2022) Forecasting Closing Price of Stock Market Using LSTM Network: An Analysis from the Perspective of Dhaka Stock Exchange. In: Arefin M.S., Kaiser M.S., Bandyopadhyay A., Ahad M.A.R., Ray K. (eds) Proceedings of the International Conference on Big Data, IoT, and Machine Learning. Lecture Notes on Data Engineering and Communications Technologies, vol 95. Springer, Singapore. https://doi.org/10.1007/978-981-16-6636-0_23

 

 

  1. M. F. Mridha, Abu Quwsar Ohi, Md. Abdul Hamid, Muhammad Mostafa Monowar "A Study on the Challenges and Opportunities of Speech Recognition for Bengali Language," Artificial Intelligence Review (2021). https://doi.org/10.1007/s10462-021-10083-3. (SCI, Q1, IF=12.0) (Top 1%)

  2. M. F. Mridha, M. A. H. Wadud, M. A. Hamid, M. M. Monowar, M. Abdullah-Al-Wadud and A. Alamri, "L-Boost: Identifying Offensive Texts from Social Media Post in Bengali," in IEEE Access, 2021, doi: 10.1109/ACCESS.2021.3134154. (SCIE, Q1, IF=3.90)

  3. M. F. Mridha, Md. Abdul Hamid, Muhammad Mostafa Monowar, Ashfia Jannat Keya, Abu Quwsar Ohi, Md Rashedul Islam, Jong-Myon Kim,” A Comprehensive Survey on Deep Learning Based Breast Cancer Diagnosis” Journal: Cancers, 2021; 13(23):6116. https://doi.org/10.3390/cancers13236116 (SCIE, Q1, IF=5.20)

  4. M. F. Mridha, Aklima Akter Lima, Kamruddin Nur, Sujoy Chandra Das, Mahmud Hasan, and Md. Mohsin Kabir, “Automatic Text Summarization: Fundamental Theories, Algorithms, and Challenges” in IEEE Access, vol. 9, pp. 156043-156070, 2021, doi: 10.1109/ACCESS.2021.3129786 (SCIE, Q1, IF=3.90)

  5. M. F. Mridha, Ashfia Jannat Keya, Md. Abdul Hamid, Muhammad Mostafa Monowar, Md. Saifur Rahman, “A Comprehensive Review on Fake News Detection with Deep Learning” in IEEE Access, vol. 9, pp. 156151-156170, 2021, doi: 10.1109/ACCESS.2021.3129329. (SCIE, Q1, IF=3.90)

  6. M. F. Mridha, Abu Quwsar Ohi, J. Shin, Muhammad M. Kabir, Md. Abdul Hamid, Muhammad Mostafa Monowar, “A Thresholded Gabor-CNN Based Writer Identification System for Indic Scripts” in IEEE Access, vol. 9, pp. 132329-132341, 2021, doi: 10.1109/ACCESS.2021.3114799. (SCIE, Q1, IF=3.90)

  7. M. F. Mridha, Abu Quwsar Ohi, Muhammad Mostafa Monowar, Md. Abdul Hamid, Md Rashedul Islam *, Yutaka Watanobe “U-vectors: Generating clusterable speaker embedding from unlabeled data”, in Applied Sciences. 2021; 11(21):10079. https://doi.org/10.3390/app112110079. (SCIE, Q1, IF=2.70)

  8. Mridha, M. F., Sujoy C. Das, Muhammad M. Kabir, Aklima A. Lima, Md. R. Islam, and Yutaka Watanobe. 2021. "Brain-Computer Interface: Advancement and Challenges" in Sensors, 2021, no. 17: 5746. https://doi.org/10.3390/s21175746. (SCIE, Q1, IF=3.90)

  9. Faris A Kateb, Muhammad Mostafa Monowar *, Md. Abdul Hamid, M. F. Mridha, Abu Quwsar Ohi, “FruitDet: Attentive Feature Aggregation for Real-time Fruit Detection in Orchards” Agronomy. 2021; 11(12):2440. https://doi.org/10.3390/agronomy11122440 (SCIE, Q1, IF=3.70)

  10. M. M. Kabir, M. F. Mridha, J. Shin, I. Jahan and A. Q. Ohi, "A Survey of Speaker Recognition: Fundamental Theories, Recognition Methods and Opportunities," in IEEE Access, vol. 9, pp. 79236-79263, 2021, doi: 10.1109/ACCESS.2021. 3084299. (SCIE, Q1, IF=3.90)

  11. A. Q. Ohi, M. F. Mridha, M. A. Hamid and M. M. Monowar, "Deep Speaker Recognition: Process, Progress, and Challenges," in IEEE Access, vol. 9, pp. 89619-89643, 2021, doi: 10.1109/ACCESS.2021.3090109. (SCIE, Q1, IF=3.90)

  12. A. Q. Ohi, M. F. Mridha, M. A. Hamid, M. M. Monowar and F. A. Kateb, "FabricNet: A Fiber Recognition Architecture Using Ensemble ConvNets," IEEE Access, vol. 9, pp. 13224-13236, 2021, doi: 10.1109/ACCESS.2021.3051980. (SCIE, Q1, IF=3.90)

  13. M. F. Mridha, Abu Quwsar Ohi, M. Ameer Ali, Mazedul Islam Emon, Muhammad Mohsin Kabir, “BanglaWriting: A multi-purpose offline Bangla handwriting dataset,” Data in Brief, Volume 34, 2021, 106633, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2020.106633. (ESCI, Q2, IF=1.20)

  14. Wadud M. A. H., Mridha D. F., and Nur D. K., “COVID-19: Risk Analysis in South Asia with Respect to Europe and North America”, AJSE, vol. 20, No. 3, pp. 97 - 106, Sep. 2021. https://doi.org/10.53799/ajse.v20i3.196 (Scopus, Q4)

  15. Md. Abdul Hamid, Marjia Akter, M. F. Mridha, Muhammad Mostafa Monowar and Madini O. Alassafi, “A Comprehensive Study on Intrusion and Extrusion Phenomena” International Journal of Advanced Computer Science and Applications (IJACSA), 12(8), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120899. (Scopus, Q3)

  16. M. F. Mridha, Md. Al Imran, Md. Anwar Hussen Wadud and Md. Abdul Hamid. “An Improved User Anonymous Secure Authentication Protocol for Healthcare System Using Wireless Medical Sensor Network,” International Journal of Computing and Digital Systems ISSN (2210-142X) Int. J. Com. Dig. Sys. #, No.# (2021) (Scopus, Q3)

 

  1. Kabir M.M., Ohi A.Q., Mridha M. F. (2021) A Multi-Plant Disease Diagnosis Method Using Convolutional Neural Network. In: Uddin M.S., Bansal J.C. (eds) Computer Vision and Machine Learning in Agriculture. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-33-6424-0_7

  2. Ibrahim Mamun M., Rahman A., Mridha M. F., Hamid M.A. (2021) AlziHelp: An Alzheimer Disease Detection and Assistive System Inside Smart Home Focusing 5G Using IoT and Machine Learning Approaches. In: Singh Pundir A.K., Yadav A., Das S. (eds) Recent Trends in Communication and Intelligent Systems. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-0167-5_12

  3. Jahidul Islam Razin M., Abdul Karim M., Mridha M. F., Rafiuddin Rifat S.M., Alam T. (2021) A Long Short-Term Memory (LSTM) Model for Business Sentiment Analysis Based on Recurrent Neural Network. In: Karuppusamy P., Perikos I., Shi F., Nguyen T.N. (eds) Sustainable Communication Networks and Application. Lecture Notes on Data Engineering and Communications Technologies, vol 55. Springer, Singapore. https://doi.org/10.1007/978-981-15-8677-4_1

  4. Amzad Hossain M., Suvo I.A., Ray A., Ariful Islam Malik M., Mridha M. F. (2021) Number Plate Recognition System for Vehicles Using Machine Learning Approach. In: Gupta D., Khanna A., Bhattacharyya S., Hassanien A.E., Anand S., Jaiswal A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1166. Springer, Singapore. https://doi.org/10.1007/978-981-15-5148-2_69

  5. Sani S.H., Rony A., Karim F.I.,., Mridha M. F Abdul Hamid M. (2021) Evaluate and Predict Concentration of Particulate Matter (PM2.5) Using Machine Learning Approach. In: Gupta D., Khanna A., Bhattacharyya S., Hassanien A.E., Anand S., Jaiswal A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1166. Springer, Singapore. https://doi.org/10.1007/978-981-15-5148-2_67

 

  1. Z. Mohammad, I. Jahan, M. M. Kabir, M. A. Ali and M. F. Mridha, "An Offline Writer-independent Signature Verification System using AutoEmbedder," 2021 24th International Conference on Computer and Information Technology (ICCIT), 2021, pp. 1-6, doi: 10.1109/ICCIT54785.2021.9689780.

  2. Farzana Arefin Nazira, Md. Mohsin Kabir, Shorna Rani Das, M. F. Mridha, “Depression Detection Using Convolutional Neural Networks” Accepted (IEEE SPICSCON 2021)

  3. F. A. Nazira, M. I. Uddin, M. H. Raju, S. Hossain, M. N. Rahman and M. F. Mridha, "Face Recognition Based Driver Detection System," 2021 International Conference on Data Analytics for Business and Industry (ICDABI), 2021, pp. 572-577, doi: 10.1109/ICDABI53623.2021.9655889.

  4. M. Sahrial Alam, M. S. Rahman, M. I. Hosen, K. A. Mubin, S. Hossen and M. F. Mridha, "Comparison of Different CNN Model used as Encoders for Image Captioning," 2021 International Conference on Data Analytics for Business and Industry (ICDABI), 2021, pp. 523-526, doi: 10.1109/ICDABI53623.2021.9655846.

  5. Md. Abdullah Al Noman Majumder, Eimon Hossain Taief, Md. Nurul Amin Bhuiyan, Aloke Kumar Saha and M. F. Mridha, “Eliminating racial bias at the time of detection Melanoma using Convolution Neural Network (CNN)”, 5th International Joint Conference on Advances in Computational Intelligence (IJCACI 2021). (Accepted)

  6. Md. Mohsin Kabir, M. F. Mridha, Md. Abdul Hamid, Mohammad Mostafa Monowar and Ashif Ahmed Khan, “Suicidal Risk Prediction from Tweets Using Ensemble Architecture” Third International Conference on Computer and Information Sciences 2021 (ICCIS 2021), Jouf University, Aljouf, Kingdom of Saudi Arabia. (Accepted)

  7. M. M. Kabir, P. Mehera, A. K. Saha, M. F. Mridha, M. A. Hamid and M. M. Monowar, "CNN-NSVM Architecture for Skin Lesion Classification Using Non-Dermoscopic Digital Image," 2021 Joint 10th International Conference on Informatics, Electronics & Vision (ICIEV) and 2021 5th International Conference on Imaging, Vision & Pattern Recognition (icIVPR), 2021, pp. 1-7, doi: 10.1109/ICIEVicIVPR52578.2021.9564195.

  8. A. S. M. A. Akib, S. Mahmud and M. F. Mridha, "Future Micro Hydro Power: Generation of Hydroelectricity and IoT based Monitoring System," 2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), 2021, pp. 298-302, doi: 10.1109/3ICT53449.2021.9581590.

  9. S. Sukhi, A. Q. Ohi, M. S. Rahman and M. F. Mridha, "A Survey on Bengali Image Captioning: Architectures, Challenges, and Directions," 2021 International Conference on Science & Contemporary Technologies (ICSCT), 2021, pp. 1-5, doi: 10.1109/ICSCT53883.2021.9642554.

  10. Md. Mohsin Kabir, Tanvir Ahmed Anik, Md. Shahnewaz Abid, M. F. Mridha and Md. Abdul Hamid, “Facial Expression Recognition Using CNN-LSTM Approach”, The International Conference on Science and Contemporary Technologies (ICSCT) 2021, Dhaka, Bangladesh. (Accecpted)

  11. Ashfia Jannat Keya, Shahid Afridi, Afroza Siddique Maria, Snaha Sadhu Pinki, Joy Ghosh and M. F. Mridha, “Fake News Detection Based on Deep Learning”, The International Conference on Science and Contemporary Technologies (ICSCT) 2021, Dhaka, Bangladesh. (Accecpted)

  12. M. F. Mridha, R. Basri, M. M. Monowar and M. A. Hamid, "A Machine Learning Approach for Screening Individual’s Job Profile Using Convolutional Neural Network," 2021 International Conference on Science & Contemporary Technologies (ICSCT), 2021, pp. 1-6, doi: 10.1109/ICSCT53883.2021.9642652.

  13. M. M. Alam, A. Shome, S. Saha and M. F. Mridha, "BRevML: Classifying Bangla Reviews for E-commerce using Machine Learning," 2021 International Conference on Science & Contemporary Technologies (ICSCT), 2021, pp. 1-6, doi: 10.1109/ICSCT53883.2021.9642682.

  14. M. Rhman, F. Rahman, M. M. Hossain, U. H. Emu, K. Akter and M. F. Mridha, "Predicting Alzheimer’s Disease at Low Cost Using Machine Learning," 2021 International Conference on Science & Contemporary Technologies (ICSCT), 2021, pp. 1-5, doi: 10.1109/ICSCT53883.2021.9642536.

  15. N. Tasnia, S. Mahmud and M. F. Mridha, "COVID-19 Future Forecasting Tool: Infected Patients Recovery and Hospitalization Trends Using Deep Learning Models," 2021 International Conference on Science & Contemporary Technologies (ICSCT), 2021, pp. 1-6, doi: 10.1109/ICSCT53883.2021.9642691.

  16. Md. Jobaer Hossain, Md Anwar Hussen Wadud, Anichur Rahman, Jannatul Ferdous, Md Shahin Alam, T M Amir Ul Haque Bhuiyan and M. F. Mridha, “A Secured Patient’s Online Data Monitoring through Blockchain: An Intelligent way to Store Lifetime Medical Records," 2021 International Conference on Science & Contemporary Technologies (ICSCT), 2021, pp. 1-6, doi: 10.1109/ICSCT53883.2021.9642537.

  17. F. B. Safir, A. Q. Ohi, M. F. Mridha, M. M. Monowar and M. A. Hamid, "End-to-End Optical Character Recognition for Bengali Handwritten Words," 2021 National Computing Colleges Conference (NCCC), 2021, pp. 1-7, doi: 10.1109/NCCC49330.2021.9428809.

  18. R. Basri, M. F. Mridha, M. A. Hamid and M. M. Monowar, "A Deep Learning based Sentiment Analysis on Bang-lish Disclosure," 2021 National Computing Colleges Conference (NCCC), 2021, pp. 1-6, doi: 10.1109/NCCC49330.2021.9428849.

  19. Tanvir Islam, Sakila Mahbin Zinat, Shamima Sukhi, Zakir Hossain Zamil, Aynur Nahar, M. F. Mridha,"An Attention-based Medical NER in the Bengali Language", International Conference on Artificial Intelligence: Advances and Applications (ICAIAA 2021) (Accepted)

  20. Billah, Sifat Nur and Pollobe, Rehana and Hossain, Farjana and Abir, Nahid Murad and Zarin, Afsana Zaman and M. F. Mridha, Blockchain Based Architecture for Certificate Authentication (May 10, 2021). Proceedings of the International Conference on Innovative Computing & Communication (ICICC) 2021, Available at SSRN: https://ssrn.com/abstract=3842788 or http://dx.doi.org/10.2139/ssrn.3842788

 

  1. Abu Quwsar Ohi, M. F. Mridha, Muhammad Mostafa Monowar, Md. Abdul Hamid (December 2020), "Optimal control of epidemic spread using reinforcement learning” In: Scientific Reports – Nature, 2020, doi: https://doi.org/10.1038/s41598-020-79147-8. (Q1, IF=4.996)

 

  1. Abu Quwsar Ohi, M. F. Mridha, Farisa Benta Safir, Md. Abdul Hamid, Muhammad Mostafa Monowar, “AutoEmbedder: A semi-supervised DNN embedding system for clustering”, Knowledge-Based Systems, Volume 204, 2020, 106190, ISSN 0950-7051. https://doi.org/10.1016/j.knosys.2020.106190. (SCI, Q1, IF=8.80) (Top 10%)

 

  1. Rakib Ul Haque, M. F. Mridha, Md. Abdul Hamid, M. Abdullah-Al-Wadud and Md.Saiful Islam, “Bengali Stop Word and Phrase Detection Mechanism” Arabian Journal for Science and Engineering, Vol. 45, 3355-3368(2020), Springer Nature. doi: https://doi.org/10.1007/s13369-020-04388-8. (SCIE,Q2, IF=2.90)

 

 

 

  1. Mehera P., Mridha M. F., Begum N., Mohaiminul Islam M. (2020) Internal Abnormalities’ Detection of Human Body Analyzing Skin Images Using Convolutional Neural Network. In: Uddin M.S., Bansal J.C. (eds) Proceedings of International Joint Conference on Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-3607-6_49

 

  1. Mridha M. F., Rafiq J.I., Zaman W.U. (2020) Two-Dimensional Hybrid Authentication for ATM Transactions. In: Kolhe M., Tiwari S., Trivedi M., Mishra K. (eds) Advances in Data and Information Sciences. Lecture Notes in Networks and Systems, vol 94. Springer, Singapore. https://doi.org/10.1007/978-981-15-0694-9_19

 

  1. Hasan R., Chakraborti S., Zonieed Hossain M., Ahamed T., Abdul Hamid M., Mridha M. F. (2020) Character and Mesh Optimization of Modern 3D Video Games. In: Kolhe M., Tiwari S., Trivedi M., Mishra K. (eds) Advances in Data and Information Sciences. Lecture Notes in Networks and Systems, vol 94. Springer, Singapore. https://doi.org/10.1007/978-981-15-0694-9_60

 

  1. Akter M., Dip G.D., Mira M.S., Abdul Hamid M., Mridha M. F. (2020) Construing Attacks of Internet of Things (IoT) and A Prehensile Intrusion Detection System for Anomaly Detection Using Deep Learning Approach. In: Khanna A., Gupta D., Bhattacharyya S., Snasel V., Platos J., Hassanien A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1059. Springer, Singapore. https://doi.org/10.1007/978-981-15-0324-5_37

 

  1. Mridha M. F., Abdul Hamid M., Asaduzzaman M. (2020) Issues of Internet of Things (IoT) and an Intrusion Detection System for IoT Using Machine Learning Paradigm. In: Uddin M., Bansal J. (eds) Proceedings of International Joint Conference on Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-13-7564-4_34

 

  1. M. F. Mridha, M. S. Rahman and A. Q. Ohi, "Human Abnormality Detection Based on Bengali Text," 2020 IEEE Region 10 Symposium (TENSYMP), Dhaka, Bangladesh, 2020, pp. 1102-1105, doi: 10.1109/TENSYMP50017.2020.9230629.

 

  1. Rakib Ul Haque, M. F. Mridha, Aloke Kumar Saha, Md Abdul Hamid, Kamruddin Nur,” Identification of Extreme Guilt and Grave Fault in Bengali Language” ICCA 2020: Proceedings of the International Conference on Computing Advancements, January 2020, Article No.: 42, Pages 1–5. doi.org/10.1145/3377049.3377098.

  2. Md. Naimur Rahman, Rownak Kabir, Md. Abdul Hamid and M. F. Mridha,"DxChain: Blockchain Based Smart and Indestructible Diagnosis Reporting System under 5g network”, International Conference on Innovative Computing and Communication (ICICC-2020),21-23rd February,2020, University of valladolid, Spain. Proceedings of the International Conference on Innovative Computing & Communications (ICICC) 2020, Available at SSRN: https://ssrn.com/abstract=3563381 or http://dx.doi.org/10.2139/ssrn.3563381

  3. Md. Naimur Rahman, Rownak Kabir, Md. Abdul Hamid and M. F. Mridha,” Blockchain Based International Driving Permit and Traffic Crime Reporting System” International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS). July 02-03, 2020, India. (Accepted)