Hossen, Md Ismail and Hossen, Md. Jakir and Hossain, Md Nazmul (2022) An Approach to Recognize Handwritten Digits Using Machine Learning Classifiers. Lecture Notes in Electrical Engineering, 835. pp. 449-458. ISSN 1876-1100

Sarkar, Md. Ridoy and Masud, Syed Rayhan and Hossen, Md Ismail and Goh, Michael Kah Ong (2022) A Comprehensive Study on the Emerging Effect of Artificial Intelligence in Agriculture Automation. In: 2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA), 12 May 2022, Selangor, Malaysia.

Bari, Md Ahsanul and Tan, Kim Geok and Sayeed, Md. Shohel and Hossen, Md Ismail and Pa, Pa Min (2022) IoT Based Indoor Object Location Tracking Solution. In: 2022 10th International Conference on Information and Communication Technology (ICoICT), 2-3 August 2022, Bandung, Indonesia.

Goh, Michael Kah Ong and Hossen, Md Ismail and Rahman, Md. Armanur and Hossen, Abid (2020) A Study on the Aspects of Quality of Big Data on Online Business and Recent Tools and Trends Towards Cleaning Dirty Data. In: 2020 11th IEEE Control and System Graduate Research Colloquium (ICSGRC), 8 Aug. 2020, Shah Alam, Malaysia.

Hossen, Md Ismail and Bari, Ahsanul and Goh, Michael Kah Ong and Tee, Connie and Lau, Siong Hoe (2020) An Automated Driver’s Context Recognition Approach Using Smartphone Embedded Sensors. In: Computational Science and Technology. Lecture Notes in Electrical Engineering (Computational Science and Technology), 603 . Springer Verlag, pp. 105-112. ISBN 9789811500572

Tee, Connie and Siong, Hoe Lau and Hossen, Md Ismail and Goh, Kah Ong Michael and Hossain, Ferdous (2019) Smartphone-Based Context Flow Recognition for Outdoor Parking System with Machine Learning Approaches. Electronics (Switzerland), 8 (7). pp. 1-18. ISSN 2079-9292

Hossen, Md Ismail (2019) Smartphone Based Context Flow Recognition For Outdoor Parking System. Masters thesis, Multimedia University.

Hossen, Md Ismail and Goh, Michael Kah Ong and Tee, Connie and Aris, Azrin and Wong, Li Pei (2018) A Review on Outdoor Parking Systems Using Feasibility of Mobile Sensors. In: Computational Science and Technology. Lecture Notes in Electrical Engineering, 488 . Springer, pp. 241-251. ISBN 978-981-10-8275-7, 978-981-10-8276-4