Items where Author is "Miah, Md Saef Ullah"
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Bhowmik, Abhijit and Noorhuzaimi, Mohd Noor and Mazid-Ul-Haque, Md. and Miah, Md Saef Ullah and Karmaker, Debajyoti (2024) Evaluating Teachers’ Performance through Aspect-Based Sentiment Analysis. In: 9th IEEE International Conference for Convergence in Technology, I2CT 2024 , 5 - 7 April 2024 , Pune, India. pp. 1-6. (200137). ISBN 979-8-3503-9447-4 (Published)
Bhowmik, Abhijit and Noorhuzaimi, Mohd Noor and Miah, Md Saef Ullah and Mazid-Ul-Haque, Md. and Karmaker, Debajyoti (2023) A comprehensive dataset for aspect-based sentiment analysis in evaluating teacher performance. AIUB Journal of Science and Engineering, 22 (2). 200 -213. ISSN 1608-3679. (Published)
Jahan, Israt and Uddin, K. M. Aslam and Murad, Saydul Akbar and Miah, Md Saef Ullah and Khan, Tanvir Zaman and Masud, Mehedi and Aljahdali, Sultan and Bairagi, Anupam Kumar (2023) 4D : A real-time driver drowsiness detector using deep learning. Electronics (Switzerland), 12 (235). pp. 1-17. ISSN 2079-9292. (Published)
Sumit, Shahriar Shakir and Dayang Rohaya, Awang Rambli and Seyedali, Mirjalili and Miah, Md Saef Ullah and Muhammad Mudassir, Ejaz (2023) ReSTiNet : An efficient deep learning approach to improve human detection accuracy. MethodsX, 10 (101936). pp. 1-8. ISSN 2215-0161. (Published)
Beg, Mohammad Sojon and Muhammad Yusri, Ismail and Miah, Md Saef Ullah and Mohamad Heerwan, Peeie (2023) Enhancing Driving Assistance System with YOLO V8-Based Normal Visual Camera Sensor. Journal of Advanced Research in Applied Sciences and Engineering Technology, 31 (1). pp. 226-236. ISSN 2462-1943. (Published)
Hossain, Mohammed Tahmid and Hossain, Afra and Meem, Sabrina Masum and Monir, Md Fahad and Miah, Md Saef Ullah and Talha, Sarwar (2023) Impact of COVID-19 Lockdowns on air quality in Bangladesh : Analysis and AQI forecasting with support vector regression. In: 2023 4th International Conference for Emerging Technology, INCET 2023 , 26-28 May 2023 , Belgaum. pp. 1-6.. ISBN 979-835033575-0 (Published)
Miah, Md Saef Ullah and Junaida, Sulaiman (2023) Material named entity recognition (MNER) for knowledge-driven materials using deep learning approach. In: Lecture Notes in Networks and Systems; 4th International Conference on Trends in Cognitive Computation Engineering, TCCE 2022 , 17-18 December 2022 , Tangail. pp. 1-10., 618 (295659). ISSN 2367-3370 ISBN 978-981199482-1 (Published)
Miah, Md Saef Ullah and Junaida, Sulaiman and Talha, Sarwar and Islam, Saima Sharleen and Rahman, Mizanur and Haque, Md Samiul (2023) Medical Named Entity Recognition (MedNER): Deep learning model for recognizing medical entities (drug, disease) from scientific texts. In: EUROCON 2023 - 20th International Conference on Smart Technologies, Proceedings; 20th International Conference on Smart Technologies, EUROCON 2023 , 6-8 July 2023 , Torino. pp. 158-162.. ISBN 978-166546397-3 (Published)
Sumit, Shahriar Shakir and Awang Rambli, Dayang Rohaya and Mirjalili, Seyedali and Ejaz, Muhammad Mudassir and Miah, Md Saef Ullah (2022) ReSTiNet : On improving the performance of Tiny-YOLO-Based CNN architecture for applications in human detection. Applied Sciences (Switzerland), 12 (9331). pp. 1-20. ISSN 2076-3417. (Published)
Miah, Md Saef Ullah and Sarwar, Talha and Islam, Saima Sharleen and Haque, Md Samiul and Masuduzzaman, Md and Bhowmik, Abhijit (2022) An adaptive medical cyber-physical system for post diagnosis patient care using cloud computing and machine learning approach. In: 2022 3rd International Conference for Emerging Technology, INCET 2022 , 27-29 May 2022 , Belgaum. pp. 1-6. (180997). ISBN 978-166549499-1 (Published)
Azad, Saiful and Amin Salem, Saleh Bllagdham and Mahmud, Mufti and Kaiser, M. Shamim and Miah, Md Saef Ullah (2021) A behavioral trust model for internet of healthcare things using an improved FP-growth algorithm and Naïve Bayes classifier. In: 2021 3rd International Conference on Sustainable Technologies for Industry 4.0, STI 2021. 3rd International Conference on Sustainable Technologies for Industry 4.0, STI 2021 , 18 - 19 December 2021 , Dhaka. pp. 1-6.. ISBN 978-166540009-1 (Published)