ESC-NAS: Environment Sound Classification Using Hardware-Aware Neural Architecture Search for the Edge

D Ranmal, P Ranasinghe, T Paranayapa… - Sensors, 2024 - mdpi.com
The combination of deep-learning and IoT plays a significant role in modern smart solutions,
providing the capability of handling task-specific real-time offline operations with improved …

[HTML][HTML] PoachNet: Predicting poaching using an ontology-based knowledge graph

N Hamed, O Rana, P Orozco-terWengel, B Goossens… - Sensors, 2024 - mdpi.com
Poaching poses a significant threat to wildlife and their habitats, necessitating advanced
tools for its prediction and prevention. Existing tools for poaching prediction face challenges …

[HTML][HTML] Elephant sound classification using deep learning optimization

H Dewmini, D Meedeniya, C Perera - Sensors, 2025 - mdpi.com
Elephant sound identification is crucial in wildlife conservation and ecological research. The
identification of elephant vocalizations provides insights into the behavior, social dynamics …

Development of Long-Range, Low-Powered and Smart IoT Device for Detecting Illegal Logging in Forests

S Ayankoso, Z Wang, D Shi, W Yang… - Journal of Dynamics …, 2024 - ojs.istp-press.com
Forests promote the conservation of biodiversity and also play a crucial role in safeguarding
the environment against erosion, landslides, and climate change. However, illegal logging …

Comparison of Hand-Crafted and Deep Features Towards Explainable AI at the Edge for Analysis of Audio Scenes

M Nigro, B Nguyen, S Krishnan - 2024 IEEE 34th International …, 2024 - ieeexplore.ieee.org
This paper explores explainable Artificial Intelligence (XAI) for pre-trained audio models and
audio source counting. An XAI pipeline is proposed that utilizes pretrained audio models as …

Hardware-aware Neural Architecture Search for Sound Classification in Constrained Environments

P Ranasinghe, T Paranayapa… - … on Smart Computing …, 2024 - ieeexplore.ieee.org
Deep Learning (DL) and Internet of Things (IoT) based applications have indeed become
integral to many smart applications. Designing such solutions with high performance and …

Automated Detection of Tree-Cutting Activities in Forest Environments using Convolutional Neural Networks and Advanced Audio Feature Extraction Techniques

S Mohmmad, SK Sanampudi - 2024 2nd International …, 2024 - ieeexplore.ieee.org
Detecting tree cutting is essential in preventing illegal logging and also conserving the
forest's natural resources. This research aimed to present a solution for illegal logging by …