82 citations · 144 across the 5 of their papers we have counts for
5 papers
Deep Active Audio Feature Learning in Resource-Constrained Environments
Md Mohaimenuzzaman, Christoph Bergmeir, Bernd Meyer
The scarcity of labelled data makes training Deep Neural Network (DNN) models in bioacoustic applications challenging. In typical bioacoustics applications, manually labelling the…
Pruning vs XNOR-Net: A Comprehensive Study of Deep Learning for Audio Classification on Edge-devices
Md Mohaimenuzzaman, Christoph Bergmeir, Bernd Meyer
Deep learning has celebrated resounding successes in many application areas of relevance to the Internet of Things (IoT), such as computer vision and machine listening. These techn…
Enhancing safety in water transport system based on Internet of Things for developing countries
Md Mohaimenuzzaman, SM Monzurur Rahman, Musaed Alhussein +2
Accidents in inland waterways in developing countries are a regular phenomenon throughout the year causing deaths, injuries, monetary loss, and a significant amount of missing peop…
Environmental Sound Classification on the Edge: A Pipeline for Deep Acoustic Networks on Extremely Resource-Constrained Devices
Md Mohaimenuzzaman, Christoph Bergmeir, Ian Thomas West +1
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 su…
Effect of Hyper-Parameter Optimization on the Deep Learning Model Proposed for Distributed Attack Detection in Internet of Things Environment
Md Mohaimenuzzaman, Zahraa Said Abdallah, Joarder Kamruzzaman +1
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 i…