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Bangladesh Army University of Science and Technology (BAUST), Saidpur

Department of Information and Communication Technology (ICT)

Publications

November 25, 2020 views

Dr. Engr. Mohammed Sowket Ali:

  1. S. Ali, M. S. A. Chowdhury, S. M. U. Quaderi, and F. Akhter, “Roadmap for access and adaptation of cloud computing in bangladesh,” 2024.
  2. T. Ahmed, M. S. Ali, and M. N. I. Mondal, “Parkinson’s disease detection using different cnn architectures with effective feature selection approach,” Journal of Information Technology, vol. 12, no. 1, pp. 53–64, 2023.
  3. S. Ali, A. M. M. Raafee, and A. S. M. Mia, “Smart farming using ai towards bangladeshi agriculture,” Journal of FST, vol. 1, no. 01, p. 189, 2022.
  4. Gupta, S. R. Hassan, R. Gupta, U. Saha, and M. S. Ali, “Classification of tumor cell using a naive convolutional neural network model,” in International Conference on Machine Intelligence and Emerging Technologies. Springer, 2022, pp. 167–176.
  5. S. M. Miah, M. Hadiuzzaman, M. S. Ali, and T. M. Mahdee, “Eeg-based hand gesture classification using machine learning approach,” BAUST JOURNAL, p. 19, 2022.
  6. S. A. Chowdhury, M. M. Alam, and M. S. Ali, “Speech recognition: Case study and experiments using som algorithm,” BAUST JOURNAL, p. 27, 2022.
  7. S. Ali, J. Mahmud, S. F. Shahriar, S. Rahmatullah, and A. S. M. Miah, “Potential disease detection using naive bayes and random forest approach,” 2022.
  8. M. Rahman, M. Harun-Ar-Rashid, M. S. Ali, O. Chowdhury, R. Karim, and M. M. A. Al Shahriar Rubel, “T wave detection based on right triangle hypotenuse system,” Journal of Hunan University Natural Sciences, vol. 49, no. 8, 2022.
  9. T. Ahmed, M. N. I. Mondal, D. Gupta, and M. S. Ali, “A review on parkinson’s disease detection methods: Traditional machine learning models vs. deep learning models,” European Journal of Information Technologies and Computer Science, vol. 2, no. 3, pp. 1–6, 2022.
  10. T. Ahmed and M. S. Ali, “Chest x-ray examiner.”
  11. M. Hossain, M. S. Ali, R. A. Swarna, M. M. Hasan, N. Habib, M. W. Rahman, M. M. Azad, and M. M. Rahman, “Analyzing the effect of feature mapping techniques along with the circuit depth in quantum supervised learning by utilizing quantum support vector machine,” in 2021 24th International Conference on Computer and Information Technology (ICCIT). IEEE, 2021, pp. 1–5.
  12. S. Ali, “Design implementation and control of fish like robots.”
  13. S. Ali, “Design and implementation of gain scheduling pi-controller for dc-dc boost converter control system.
  14. M. Rahman, M. S. Ali, and M. S. Akther, “Password protected electronic lock system for smart home security,” International Journal of Engineering Research and Technology, vol. 7, no. 4, pp. 541–544, 2018.
  15. S. A. Chowdhury, M. T. Sultana, S. Ali et al., “Study on citizens’ intention to adopt e-government: Case country ‘bangladesh’,” 2015.
  16. S. Ali, C. R. Park, and Y.-I. Lee, “Design of a maximum power point tracking system of a wind turbine for battery charging application,” International Journal of Advances in Engineering, Science and Technology (IJAEST), 2012.
  17. S. Ali, J.-S. Lee, and Y.-I. Lee, “Identification of three-parameter models from step response,” Journal of Institute of Control, Robotics and Systems, vol. 16, no. 12, pp. 1189–1196, 2010.
  1. S. Ali, J.-S. Lee, and Y.-I. Lee, “Identification of three-parameter models in the presence of non-zero initial condition,” in ICCAS 2010. IEEE, 2010, pp. 5–8.
  2. Y. Na, D. Shin, S. M. Ali, J. Y. Kim, and S. Baek, “Implementation of a prototype service robot system based on ubiquitous sensor networks,” WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL, vol. 2, no. 2, p. 170, 2007.
  3. Na, D. Shin, M. Sowket Ali, J. Y. Kim, S.-J. Baek, and B.-H. Lee, “Estimation of distance, sizes and angles of obstacles for fish robots.” WSEAS Transactions on Electronics, vol. 3, no. 4, pp. 172–178, 2006.
  4. S. Ali and S. Y. Na, “Fish robots for games,” The Journal of Electronic and Telecommunication Technology Research Canter, Chonnam National University, Korea, vol. 8, no. 1, pp. 61–64, 2005.
  5. Na, D. Shin, S. M. Ali, J. KIM, S.-J. Baek, and H. PARK, “Design and implementation of a service robot system based on ubiquitous sensor networks,” in Proceedings of the 6th WSEAS International Conference on Signal Processing, Robotics and Automation, 2007, pp. 171–176.
  6. M. BAEK, A. PARK, and S. KOREA, “Design of an assistant infant monitoring system using fish robots.”
  7. Y. Na, D. Shin, M. S. Ali, J. KIM, S.-J. Baek, and B. LEE, “Recognition of sizes and angles of obstacles using distance sensors for fish robots,” in Proceedings of the 8th WSEAS international conference on Automatic control, modeling & simulation, 2006, pp. 123–128.
  8. Y. Na, M. S. Ali, D. Shin, and S.-J. Baek, “Collision avoidance of fish robots using photo sensors,” ISIS, pp. 879–883, 2005.

Md Zahim Hassan:

  1. Rifat Arefin, Nazia Jahan Khan Chowdhury, Saurav Roy, and Md Zahim Hassan “An Analysis on Structural MRI Images for Better Alzheimer Disease Detection using Deep Neural Networks”, 3rd International Conference on Computing Advancements (ICCA 2024) September 2024
  2. Md Manirujjaman, Mahmudul Hoque, Md Sazedur Rahman, Md Zahim Hassan, A.H.M. Sharaiar Parvez and S. M. Mahedy Hasan “Enhancing Multi-class Skin Lesion Classification: An Ensemble-Based Transfer Learning Approach”, 5th International Conference on Data Analytics and Management (ICDAM 2024). June 2024
  3. Md Sazedur Rahman, Md Zahim Hassan, and Sifat Ibtisum “Vehicle-BD: A Benchmark Dataset of Bangladeshi Local Vehicles”, 13th World Congress on Information and Communication Technologies, (WICT 2023). December 2023
  4. Md. Zahim Hassan and Sk. Md. Masudul Ahsan “Person Re-identification: A Lightweight Feature Extraction Architecture for Image Based Methods” in 2023 3rd International Conference on Electrical, Computer and Communication Engineering, CUET. February 2023
  5. Md Sazedur Rahman, Md Zahim Hassan, Syed Nahin Hossain, Noor Masrur, and Jakaria Rabbi “Bangladeshi Local Vehicle Recognition with a Comprehensive Dataset using Transfer Learning Techniques” In 2022 4th International Conference on Sustainable Technologies for Industry 4.0 December 2022
  6. Syed Nahin Hossain, Md. Zahim Hassan, and Md. Masum Al Masba “Automatic License Plate Recognition System for Bangladeshi Vehicles Using Deep Neural Network” in the International Conference on Big Data, IoT, and Machine Learning 2021, Cox’s Bazar, Bangladesh. September 2021

Tasmim:

  1. Tasmim, C. Bakchy, H. I. Peyal, M. R. Hoshen, M. A. I. Siddique, et al., “Colon cancer detection using a lightweight-cnn with grad-cam++ visualization,” in 2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE), IEEE, 2024, pp. 1–6

(DOI: 10.1109/ICICT4SD59951.2023.10303569)

  1. Tasmim, C. Bakchy, H. I. Peyal, M. I. Islam, G. K. Yeamin, S. Miraz, M. N. Abdal, et al., “A lightweight-cnn model for efficient lung cancer detection and grad-cam visualization,” in 2023 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), IEEE, 2023, pp. 254–258.

(DOI: 10.1109/ICAEEE62219.2024.10561717)

S. M. Abdullah Ashik:

  1. Rahman, M. A. I. Siddique, and S. A. Ashik, “Improving skin cancer diagnosis: A comprehensive analysis of transfer learning and ensemble models,” in 2023 26th International Conference on Computer and Information Technology (ICCIT). IEEE, 2023, pp. 1–6.

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