Smart aquaculture analytics: Enhancing shrimp farming in Bangladesh through real-time IoT monitoring and predictive machine learning analysis.

Autor: Ahmed F; Embedded System Research Center, Department of Computer Science and Engineering, Daffodil International University, Dhaka, 1216, Bangladesh., Bijoy MHI; Embedded System Research Center, Department of Computer Science and Engineering, Daffodil International University, Dhaka, 1216, Bangladesh., Hemal HR; Embedded System Research Center, Department of Computer Science and Engineering, Daffodil International University, Dhaka, 1216, Bangladesh., Noori SRH; Embedded System Research Center, Department of Computer Science and Engineering, Daffodil International University, Dhaka, 1216, Bangladesh.

Publikováno v: Heliyon [Heliyon] 2024 Sep 02; Vol. 10 (17), pp. e37330. Date of Electronic Publication: 2024 Sep 02 (Print Publication: 2024).

Assessment of Advanced Machine and Deep Learning Approaches for Predicting CO2 Emissions from Agricultural Lands: Insights Across Diverse Agroclimatic Zones.

Autor: Harsányi, Endre, Mirzaei, Morad, Arshad, Sana, Alsilibe, Firas, Vad, Atilla, Nagy, Adrian, Ratonyi, Tamás, Gorji, Manouchehr, Al-Dalahme, Main, Mohammed, Safwan

Publikováno v: Earth Systems & Environment; Dec2024, Vol. 8 Issue 4, p1109-1125, 17p

Proceedings of the 2nd International Conference on Big Data, IoT and Machine Learning : BIM 2023

Autor: Mohammad Shamsul Arefin, M. Shamim Kaiser, Touhid Bhuiyan, Nilanjan Dey, Mufti Mahmud

This book gathers a collection of high-quality peer-reviewed research papers presented at the International Conference on Big Data, IoT and Machine Learning (BIM 2023), organised by Jahangirnagar University, Bangladesh, and Daffodil International Uni