Publications

Latest Research and Publications

Author

Dr. Md Abdus Samad

Published

May 30, 2025

NoteTotal Publications: 62

2025

  1. P. Sarker, K. Choi, A. A. Nahid, M. A. Samad, et al., “CatBoost with physics-based metaheuristics for thyroid cancer recurrence prediction.” BioData Mining 18: 84 (2025). doi.org/10.1186/s13040-025-00494-1
  2. K. M. Sujon, R. Hassan, K. Choi, M. A. Samad, et al., “Accuracy, precision, recall, f1-score, or MCC? empirical evidence from advanced statistics, ML, and XAI for evaluating business predictive models.” Journal of Big Data 12: 268 (2025). doi.org/10.1186/s40537-025-01313-4
  3. Kakon, S. Chakrabarty, Z. Al Sazid, I. A. Begum, M. A. Samad, and A. S. M. S. Hosen, “Explainable Deep Ensemble Meta-Learning Framework for Brain Tumor Classification Using MRI Images.” Cancers 17, no. 17: 2853 (2025). doi.org/10.3390/cancers17172853
  4. P. Sarker, A. Ksibi, M. M. Jamjoom, K. Choi, A. A. Nahid and M. A. Samad, “Breast cancer prediction with feature-selected XGB classifier, optimized by metaheuristic algorithms.” J Big Data 12, 78 (2025). doi.org/10.1186/s40537-025-01132-7
  5. I. A. Talin, M. Z. Amin, and M. A. Samad, “Numerical modeling of gain-switched dysprosium-doped yellow fiber lasers.” J. Korean Phys. Soc. (2025). doi.org/10.1007/s40042-025-01303-y
  6. N. Saeed, I. Shafi, S. Pervez, E. B. Thompson, A. K. Castilla, M. A. Samad, and I. Ashraf, “Intelligent Decision Making for Commodities Price Prediction: Opportunities, Challenges and Future Avenues.” Comput Econ (2025). doi.org/10.1007/s10614-024-10837-5

2024

  1. A. U. Hussna, R. Islam, M. R. Alam, J. Uddin, I. Ashraf, M. A. Samad, “A graph mining-based approach to analyze the dynamics of the Twitter community of COVID-19 misinformation disseminators,” ICT Express, 2024. doi.org/10.1016/j.icte.2024.10.006
  2. Tuhin IA, Mia MR, Islam MM, Mahmud I, Gongora HF, M. A. Samad, “StackIL10: A stacking ensemble model for the improved prediction of IL-10 inducing peptides.” PLOS ONE 19(11): e0313835. doi.org/10.1371/journal.pone.0313835
  3. Faruqui N, Achar S, Racherla S, Dhanawat V, Sripathi P, Islam MM, Uddin J, Othman MA, M. A. Samad, Choi K. “Cloud IaaS Optimization Using Machine Vision at the IoT Edge and the Grid Sensing Algorithm.” Sensors. 2024; 24(21):6895. doi.org/10.3390/s24216895
  4. Dipto, S. M., Reza, M. T., Mim, N. T., M. A. Samad. “An analysis of decipherable red blood cell abnormality detection under federated environment leveraging XAI incorporated deep learning.” Sci Rep 14, 25664 (2024). doi.org/10.1038/s41598-024-76359-0
  5. K. M. Sujon, R. B. Hassan, Z. T. Towshi, M. A. Othman, M. A. Samad and K. Choi, “When to Use Standardization and Normalization: Empirical Evidence From Machine Learning Models and XAI,” IEEE Access, vol. 12, pp. 135300-135314, 2024, doi: 10.1109/ACCESS.2024.3462434.
  6. Mahnoor, I. Shafi, M. Chaudhury, E. C. Montero, E. S. Alvarado, I. D. L. T. Diez, M. A. Samad, and I. Imran “A Review of Approaches for Rapid Data Clustering: Challenges, Opportunities, and Future Directions,” IEEE Access, vol. 12, pp. 138086-138120, 2024, doi:10.1109/ACCESS.2024.3461798.
  7. M. N. U. Alam, I. Hasnine, E. H. Bahadur, A. K. M. Masum, M. B. Urbano, M. M. Vergara, J. Uddin, I. Ashraf, M. A. Samad, “DiabSense: Early Diagnosis of Non-Insulin-Dependent Diabetes Mellitus Using Smartphone-Based Human Activity Recognition and Diabetic Retinopathy Analysis with Graph Neural Network” J Big Data. doi.org/10.1186/s40537-024-00959-w
  8. M. Shahroz, M. Ali, A. Tahir, H. F. Gongora, C. U. Rios, M. A. Samad, and I. Ashraf, “Hierarchical Attention Module-Based Hotspot Detection in Wafer Fabrication Using Convolutional Neural Network Model,” IEEE Access, vol. 12, pp. 92840-92855, 2024, doi: 10.1109/ACCESS.2024.3422616.
  9. M. K. Baowaly, B. C. Sarkar, M. A. A. Walid, M. M. Ahamad, B. C. Singh, E. S. Alvarado, I. Ashraf, M. A. Samad, “Deep Transfer Learning-Based Bird Species Classification Using Mel Spectrogram Images,” PloS One. doi.org/10.1371/journal.pone.0305708
  10. T. R. Shaha, M. Begum, J. Uddin, V. Y. Torres. J. A. Iturriaga, I. Ashraf. M. A. Samad, “Feature group partitioning: an approach for depression severity prediction with class balancing using machine learning algorithms,” BMC Medical Research Methodology, 2024 Jun 3;24(1). doi.org/10.1186/s12874-024-02249-8
  11. K. A. Alavee, M. H. Zillanee, M. Mostakim, J. Uddin, E. S. Alvarado, I. T. Diez, I. Ashraf, and M. A. Samad, “Enhancing Early Detection of Diabetic Retinopathy Through the Integration of Deep Learning Models and Explainable Artificial Intelligence.” IEEE Access. doi.org/10.1109/access.2024.3405570
  12. M. Begum, M. H. Shuvo, M. K. Nasir, A. Hossain, M. J. Hossain, I. Ashraf and M. A. Samad, “LCNN: Lightweight CNN Architecture for Software Defect Feature Identification Using Explainable AI.” IEEE Access. doi.org/10.1109/access.2024.3388489
  13. I. Raza, M. H. Jamal, R. Qureshi, A. K. Shahid, A. O. R. Vistorte, M. A. Samad, and I. Ashraf, “Adaptive neighborhood rough set model for hybrid data processing: a case study on Parkinson’s disease behavioral analysis,” Scientific Reports, vol. 14, no. 1, Apr. 2024, doi: 10.1038/s41598-024-57547-4.
  14. F. Md. Siraj, S. T. K. Ayon, Md. A. Samad, J. Uddin, and K. Choi, “Few-Shot Lightweight SqueezeNet Architecture for Induction Motor Fault Diagnosis Using Limited Thermal Image Dataset,” IEEE Access, vol. 12, pp. 50986–50997, 2024, doi: 10.1109/access.2024.3385430.
  15. M. T. Islam, W. Rahman, M. S. Hossain, K. Roksana, I. D. Azpíroz, R. M. Diaz, I. Ashraf, and M. A. Samad, “Medicinal Plant Classification Using Particle Swarm Optimized Cascaded Network,” IEEE Access, vol. 12. doi.org/10.1109/ACCESS.2024.3378262 [SCIE (Q2), JIF:3.90]
  16. M. A. Kader, M. A. Ullah, M. S. Islam, F. F. Sánchez, M. A. Samad, “A Real-Time Air-Writing Model to Recognize Bengali Character,” AIMS Mathematics (2024). doi.org/10.3934/math.2024325 [SCIE (Q1), JIF:2.2]

2023

  1. I. A. Talin, M. H. Abid, M. A. Samad et al. “Exploring factors influencing the severity of pregnancy anemia in India: a study using proportional odds model.” Sci Rep 13, 22816 (2023). doi.org/10.1038/s41598-023-49872-x [SCIE (Q2), JIF:4.60]
  2. Z. Aoujil, M. Hanine, E. S. Flores, M. A. Samad “Artificial Intelligence and Behavioral Economics: A Bibliographic Analysis of Research Field,” IEEE Access. doi.org/10.1109/ACCESS.2023.3339778 [SCIE (Q2), JIF:3.90]
  3. M. M. Hossain, M. A. Kashem, M. M. Islam, M. Sahidullah, S. H. Mumu, J. Uddin and M. A. Samad. “Internet of Things in Pregnancy Care Coordination and Management: A Systematic Review.” Sensors 2023, 23, 8958. doi.org/10.3390/s23239367 [SCIE (Q2), JIF:3.90]
  4. AA Alarfaj, A. Altamimi, T. Aljrees, S. Basheer, M. Umer, M. A. Samad et al. “Multi-Step Preprocessing with UNet Segmentation and Transfer Learning Model for Pepper Bell Leaf Disease Detection,” IEEE Access. doi.org/10.1109/ACCESS.2023.3334428 [SCIE (Q2), JIF:3.90]
  5. Hossain, P. S.; Kim, K.; Uddin, J.; Samad, M. A.; Choi, K. “Enhancing Taxonomic Categorization of DNA Sequences with Deep Learning: A Multi-Label Approach.” Bioengineering 2023, 10, 1293. doi.org/10.3390/bioengineering10111293 [SCIE (Q2), JIF:4.60]
  6. B. H. A. Khattak, I. Shafi, A. S. Khan, E. S. Flores, R. G. Lara, M. A. Samad “A Systematic Survey of AI Models in Financial Market Forecasting for Profitability Analysis,” IEEE Access, doi: 10.1109/ACCESS.2023.3330156. [SCIE (Q2), JIF:3.90]
  7. Farooq, M. S.; Abdullah, M.; Riaz, S.; Alvi, A.; Rustam, F.; Samad, M. A. “A Survey on the Role of Industrial IoT in Manufacturing for Implementation of Smart Industry.” Sensors 2023, 23, 8958. doi.org/10.3390/s23218958 [SCIE (Q2), JIF:3.90]
  8. Islam, M. M.; Alam, K. M. R.; Uddin, J.; Ashraf, I.; Samad, M. A. “Benign and Malignant Oral Lesion Image Classification Using Fine-Tuned Transfer Learning Techniques.” Diagnostics 2023, 13, 3360. doi.org/10.3390/diagnostics13213360 [SCIE (Q2), JIF:3.60]
  9. M. Begum, M. H. Shuvo, I. Ashraf, A. A. Mamun, J. Uddin and M. A. Samad, “Software Defects Identification: Results Using Machine Learning and Explainable Artificial Intelligence Techniques,” IEEE Access, doi: 10.1109/ACCESS.2023.3329051. [SCIE (Q2), JIF:3.90]
  10. K. R. Hasan, A. B. Tuli, M. A. -M. Khan, S. -H. Kee, M. A. Samad and A. -A. Nahid, “Deep Learning-Based Semantic Segmentation for Remote Sensing: A Bibliometric Literature Review,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, doi: 10.1109/JSTARS.2023.3328315. [SCIE (Q1), JIF:5.5]
  11. Rahman, Shakila, Jahid Hasan Rony, Jia Uddin, and M. A. Samad. “Real-Time Obstacle Detection with YOLOv8 in a WSN Using UAV Aerial Photography,” Journal of Imaging. 2023; 9(10):216. doi.org/10.3390/jimaging9100216 [ESCI, JIF:3.2, Q3]
  12. Walid, Md. Abul Ala, Swarnali Mollick, Pintu Chandra Shill, Mrinal Kanti Baowaly, M. A. Samad “Adapted Deep Ensemble Learning-Based Voting Classifier for Osteosarcoma Cancer Classification” Diagnostics 2023, 13, 3155. doi.org/10.3390/diagnostics13193155 [SCIE (Q2), JIF:3.6]
  13. Shahzadi, Turrnum, Muhammad Usman Ali, Fiaz Majeed, Muhammad Usman Sana, M. A. Samad “Nerve Root Compression Analysis to Find Lumbar Spine Stenosis on MRI Using CNN.” Diagnostics 13, no. 18 (September 18, 2023): 2975. doi.org/10.3390/diagnostics13182975 [SCIE (Q2), JIF:3.6]
  14. Pinki, Farhana Tazmim, Md Abdul Awal, Khondoker Mirazul Mumenin, Md. Shahadat Hossain, Jabed Al Faysal, Rajib Rana, and M. A. Samad. “HGSOXGB: Hunger-Games-Search-Optimization-Based Framework to Predict the Need for ICU Admission for COVID-19 Patients Using EXtreme Gradient Boosting.” Mathematics 11, no. 18 (September 18, 2023): 3960. doi.org/10.3390/math11183960 [SCIE (Q1), JIF:4.4]
  15. Hossain, Md Shakhawat, Md. Mahmudur Rahman, M. Mahbubul Syeed, Mohammad Faisal Uddin, Mahady Hasan, M. A. Samad. “DeepPoly: Deep Learning-Based Polyps Segmentation and Classification for Autonomous Colonoscopy Examination.” IEEE Access 11 (2023): 95889–902. doi.org/10.1109/access.2023.3310541 [SCIE (Q2), JIF:3.9]
  16. U. U. Gronthy, U. Biswas, S. Tipu, M. A. Samad, A. A. Nahid, “A Bibliometric Analysis on Arrhythmia Detection and Classification from 2005 to 2022,” Diagnostics 2023, 13(10), 1732. doi.org/10.3390/diagnostics13101732 [SCIE (Q2), JIF:3.6]
  17. M. A. Samad, D. -Y. Choi, H. Son and K. Choi, “Analysis of Centimeter and Millimeter-Wave Path Loss at Emergency Exit,” IEEE Access, vol. 11, pp. 34217-34226, 2023. doi.org/10.1109/ACCESS.2023.3264648 [SCIE (Q2), JIF:3.9]
  18. M. A. Samad, D.-Y. Choi, and K. Choi, “Path loss measurement and modeling of 5G network in emergency indoor stairwell at 3.7 and 28 GHz,” PLOS ONE, vol. 18, no. 3, p. e0282781, Mar. 2023. doi.org/10.1371/journal.pone.0282781 [SCIE (Q2), JIF:3.7]
  19. M. A. Samad, S. -W. Choi, C. -S. Kim and K. Choi, “Wave Propagation Modeling Techniques in Tunnel Environments: A Survey,” IEEE Access, vol. 11, pp. 2199-2225, 2023. doi.org/10.1109/ACCESS.2022.3233877 [SCIE (Q2), JIF:3.9]

2022

  1. M. S. Hossain, N. Hasan, M. A. Samad, H. M. Shakhawat, J. Karmoker, F. Ahmed, K. F. M. N. Fuad, and K. Choi. “Android Ransomware Detection From Traffic Analysis Using Metaheuristic Feature Selection.” IEEE Access 10 (2022): 128754–63. doi.org/10.1109/access.2022.3227579 [SCIE (Q2), JIF:3.9]
  2. M. A. Samad, D. -Y. Choi, K. Choi, “Path Loss Investigation in Hall Environment at Centimeter and Millimeter-Wave Bands,” Sensors, vol. 22, p. 6593, aug 2022. doi.org/10.3390/s22176593 [SCIE (Q2), JIF:3.9]
  3. M. A. Samad, and D.-Y. Choi, “Analysis and Modeling of Propagation in Tunnel at 3.7 and 28 GHz,” CMC-Computers, Materials and Continua, 71(2), pp. 3127–3143, 2022. doi.org/10.32604/cmc.2022.023086 [SCIE (Q3), JIF:3.1]

2021

  1. M. A. Samad, F. D. Diba, Y. J. Kim, and D.-Y. Choi, “Results of Large-Scale Propagation Models in Campus Corridor at 3.7 and 28 GHz,” Sensors, vol. 21, no. 22, p. 7747, nov 2021. doi.org/10.3390/s21227747 [SCIE (Q2), JIF:3.9]
  2. M. A. Samad, and D.-Y. Choi, “Radiowave Propagation in Tunnel: Experimental Results,” 7th International Conference on Advanced Engineering and ICT-convergence, July 7-9, 2021 [online].
  3. M. A. Samad, and D.-Y. Choi, “5G Vertical Services in Korea,” 6th International Conference on Advanced Engineering and ICT-convergence, 7 January 2021 [online].
  4. M. A. Samad, and D.-Y. Choi, “Scaling of Rain Attenuation Models: A Survey,” Applied Sciences, vol. 11, no. 18, p. 8360, aug 2021. doi.org/10.3390/app11188360 [SCIE (Q3), JIF:2.7]
  5. M. A. Samad, F. D. Diba, and D.-Y. Choi, “Rain attenuation scaling in South Korea: Experimental results and artificial neural network,” Electronics, vol. 10, no. 16, p. 2030, aug 2021. doi.org/10.3390/electronics10162030 [SCIE (Q2), JIF:2.9]
  6. F. D. Diba, M. A. Samad, and D.-Y. Choi, “Centimeter and Millimeter-Wave Propagation Characteristics for Indoor Corridors at 3.7 and 28 GHz: Results from Measurements and Models,” IEEE Access, vol. 9, pp. 158726-158737, 2021. doi.org/10.1109/ACCESS.2021.3130293 [SCIE (Q2), JIF:3.9]
  7. M. A. Samad, M. R. Ahmed, and S. Z. Rashid, “An overview of rain attenuation research in Bangladesh,” Indonesian Journal of Electrical Engineering and Computer Science, vol. 23, no. 2, p. 902, Aug. 2021. doi.org/10.11591/ijeecs.v23.i2.pp902-909 [SCOPUS]
  8. M. A. Samad, F. D. Diba, and D.-Y. Choi, “A survey of rain fade models for earth–space telecommunication links—taxonomy, methods, and comparative study,” Remote Sensing, vol. 13, no. 10, p. 1965, may 2021. doi.org/10.3390/rs13101965 [SCIE (Q2), JIF:5.0]
  9. F. D. Diba, M. A. Samad, J. Ghimire, and D.-Y. Choi, “Wireless telecommunication links for rainfall monitoring: Deep learning approach and experimental results,” IEEE Access, vol. 9, pp. 66 769–66 780, 2021. doi.org/10.1109/access.2021.3076781 [SCIE (Q2), JIF:3.9]
  10. M. A. Samad, F. D. Diba, and D.-Y. Choi, “A survey of rain attenuation prediction models for terrestrial links—current research challenges and state-of-the-art,” Sensors, vol. 21, no. 4, p. 1207, feb 2021. doi.org/10.3390/s21041207 [SCIE (Q2), JIF:3.9]
  11. F. D. Diba, M. A. Samad, and D.-Y. Choi, “The effects of rain on terrestrial links at K, Ka and E-bands in South Korea: Based on supervised learning,” IEEE Access, vol. 9, pp. 9345–9355, 2021. doi.org/10.1109/access.2021.3049825 [SCIE (Q2), JIF:3.9]

2020

  1. M. A. Samad, and D.-Y. Choi, “Learning-assisted rain attenuation prediction models,” Applied Sciences, vol. 10, no. 17, p. 6017, aug 2020. doi.org/10.3390/app10176017 [SCIE (Q2), JIF:2.7]

2015

  1. M. S. Hossain, and M. A. Samad, “The tropospheric scintillation prediction of earth-to-satellite link for Bangladeshi climatic condition,” Serbian Journal of Electrical Engineering, vol. 12, no. 3, pp. 263–273, 2015. doi.org/10.2298/SJEE1503263H

2014

  1. A. G. Abshir, M. M. Abdullahi, and M. A. Samad, “A Comparative Study of Carrier Frequency Offset (CFO) Estimation Techniques for OFDM Systems,” IOSR Journal of Electronics and Communication Engineering, vol. 9, no. 4, pp. 01–06, 2014.
  2. M. A. Samad and M. I. Huq, “Correlation between brain’s adjoin and diverse hemisphere for motor imagery task relating to central and peripheral nervous system,” International Conference on Informatics, Electronics and Vision (ICIEV), 2014, pp. 1-6, doi: 10.1109/ICIEV.2014.6850828.

2012

  1. M. A. Samad, J. Uddin, and M. R. Ahmed, “FIR Filter Design Using Modified Lanczos Window Function,” Advanced Materials Research, vol. 566, pp. 49–56, Sep. 2012. doi.org/10.4028/www.scientific.net/AMR.566.49
  2. M. A. Samad and M. I. Huq, “Correlation between Sensorimotor Area of Central Nervous System with Peripheral Nervous System by EEG and NCV for Motor Imagery Task,” International Conference on Electrical, Computer and Telecommunication Engineering, 01-02 December 2012 (ICECTE2012), RUET, Rajshahi-6204, Bangladesh.
  3. M. A. Samad, “A Novel Window Function Yielding Suppressed Mainlobe Width and Minimum Sidelobe Peak,” International Journal of Computer Science, Engineering and Information Technology, vol. 2, no. 2, pp. 91–103, Apr. 2012. doi.org/10.5121/ijcseit.2012.2209