• M. J. Miah, A. Boni, D. Martin, A. Knigge, P. Della Casa, and P. Crump, Kilowatt-class, 1-cm diode laser bars at 910-940 nm with improved power, conversion efficiency and beam quality. Proceedings of SPIE, vol. 11983, p. 1198304, San Francisco, California, USA, Feb 2022.
  • Bharati, S., Podder, P., Mondal, M. R. H., Surya Prasath, V. B., & Gandhi, N. , Ensemble Learning for Data-Driven Diagnosis of Polycystic Ovary Syndrome. In International Conference on Intelligent Systems Design and Applications (pp. 1250-1259). Springer, Cham, Jan 2022.
  • Podder, P., & Mondal, M. R. H., LBPX: A Novel Feature Extraction Method for Iris Recognition. In International Conference on Image Processing and Capsule Networks (pp. 193-205). Springer, Cham, Jan 2022.
  • Shimul Bhowmick and Hossen A Mustafa, A Framework for Eye-Based Human Machine Interface. In the Proceedings of The 5th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT 2021), Nov 2021.
  • M. J. Miah, A. Boni, D. Martin, P. Della Casa, P. Crump, Highly asymmetric epitaxial designs for increased power and efficiency in kW-class GaAs-based diode laser bars. 27th International Semiconductor Laser Conference (ISLC), paper-TuP2.1, Potsdam, Germany, Oct 2021.
  • P. Crump, M. J. Miah, J. Fricke, M. Wilkens, S. Kreutzmann, H. Wenzel, and A. Knigge, 970 nm DBR broad-area semiconductor lasers with 60% conversion efficiency. 27th International Semiconductor Laser Conference (ISLC), paper-WP3.3, Potsdam, Germany, Oct 2021.
  • S. Bharati, P. K. Paul, P. Podder, M R. H. Mondal, The role of IoMT during pandemics. in Computational Intelligence for Managing Pandemics, Edited by: A. Khamparia, M. R. H. Mondal, P. Podder, B. Bhushan, V. H. C. Albuquerque and S. Kumar, Sep. 2021., Oct 2021.
  • S. Bharati, M. R. H. Mondal, Applications and challenges of AI-driven IoHT for combating pandemics: a review. in Computational Intelligence for Managing Pandemics, Edited by: A. Khamparia, M. R. H. Mondal, P. Podder, B. Bhushan, V. H. C. Albuquerque and S. Kumar, Sep. 2021., Sep 2021.
  • I. Nowrin; M. R. H. Mondal; R. Islam; J. Kamruzzaman, A Novel OFDM Format and a Machine Learning Based Dimming Control for LiFi. Electronics, MDPI, 10, 2103, Sep 2021.
  • M. R. H. Mondal, S. Bharati and P. Podder, Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A Review. Current Medical Imaging, vol. 17, Jul 2021.
  • P. Crump, M. Elattar, M. J. Miah, M. Ekterai, M. M. Karow, D. Martin, A. Maaßdorf, S. McDougall, C. Holly, S. Rauch, S. Gruetzner, S. Strohmaier, and G, Tränkle, Experimental studies into the beam parameter product of GaAs high-power diode lasers. IEEE Journal of Selected Topics in Quantum Electronics, vol. 28, no. 1, p. 1501111, Jul 2021.
  • Subrato Bharati, Prajoy Podder, M. R. H. Mondal, V.B. Surya Prasath, Medical Imaging with Deep Learning for COVID19 Diagnosis: A Comprehensive Review. International Journal of Computer Information Systems and Industrial Management Applications, MIR Labs, USA, vol. 13, pp. 091-112, Jul 2021.
  • Prajoy Podder, Subrato Bharati, M. R. H. Mondal, Pinto Kumar Paul, Utku Kose, Artificial Neural Network for Cybersecurity: A Comprehensive Review. Journal of Information Assurance and Security, MIR Labs, USA, vol. 16, no. 1, Jul 2021.
  • S. Bharati, P. Podder, M. R. H. Mondal, V. B. S. Prasath, CO-ResNet: Optimized ResNet model for COVID-19 diagnosis from X-ray images. International journal of hybrid intelligent systems, IOS Press, Netherlands, Jan. 2021: 1 – 15., Jul 2021.
  • S. Rana and M. R. H. Mondal, A New Key Generation Technique based on Neural Networks for Lightweight Block Ciphers. International Journal of Advanced Computer Science and Applications- vol. 12, no. 6, pp. 208-216, Jun 2021, Jun 2021.
  • P. Podder, S. Bharati, M. R. H. Mondal, and U. Kose, Application of Machine Learning for the Diagnosis of COVID-19. in “Data Science for COVID-19”, Utku Kose Deepak Gupta Victor de Albuquerque, Ashish Khanna (Eds.), vol. 1, pp. 175-194. Academic Press, May 2021., May 2021.
  • Md Mahedi Hasan, and Hossen Mustafa, Learning view-invariant features using stacked autoencoder for skeleton-based gait recognition. IET Computer Vision, Vol. 15, Issue 7, Page No 527-545, Apr 2021.
  • M. I. Khan, M. R. H. Mondal, Analysis of Motion Blur on Spatial OFDM Based Pixelated Optical Communication Systems. Wireless Personal Communications, Springer, 2021, Apr 2021.
  • Prajoy Podder, Aditya Khamparia, M. R. H. Mondal, Mohammad Atikur Rahman, Subrato Bharati, Forecasting the Spread of COVID-19 and ICU Requirements. International Journal of Online and Biomedical Engineering (ESCI and Scopus indexed), Austria, vol. 17, no. 5, pp. 81-99, 2021., Mar 2021.
  • N. R. Bhowmik, M. Arifuzzaman, M. R. H. Mondal, M. S. Islam, Bangla Text Sentiment Analysis Using Supervised Machine Learning with Extended Lexicon Dictionary. Natural Language Processing Research, Atlantic Press, France, vol. 1, no 3-4, pp. 34 – 45, Mar. 2021, Mar 2021.
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