no code implementations • 25 Aug 2023 • Md Mohaimenuzzaman, Christoph Bergmeir, Bernd Meyer
The scarcity of labelled data makes training Deep Neural Network (DNN) models in bioacoustic applications challenging.
1 code implementation • 13 Aug 2021 • Md Mohaimenuzzaman, Christoph Bergmeir, Bernd Meyer
These technologies must ultimately be brought directly to the edge to fully harness the power of deep learning for the IoT.
1 code implementation • 5 Mar 2021 • Md Mohaimenuzzaman, Christoph Bergmeir, Ian Thomas West, Bernd Meyer
Significant efforts are being invested to bring state-of-the-art classification and recognition to edge devices with extreme resource constraints (memory, speed, and lack of GPU support).
Ranked #18 on Audio Classification on ESC-50
no code implementations • 5 Mar 2021 • Md Mohaimenuzzaman, SM Monzurur Rahman, Musaed Alhussein, Ghulam Muhammad, Khondaker Abdullah Al Mamun
This paper proposes a model to transform the water transport system into an intelligent system based on IoT.
no code implementations • 19 Jun 2018 • Md Mohaimenuzzaman, Zahraa Said Abdallah, Joarder Kamruzzaman, Bala Srinivasan
This paper studies the effect of various hyper-parameters and their selection for the best performance of the deep learning model proposed in [1] for distributed attack detection in the Internet of Things (IoT).