[HTML][HTML] The role of industry 4.0 in advancing sustainability development: A focus review in the United Arab Emirates
In recent years, the widespread adoption of Industry 4.0 technologies has significantly
enhanced sustainability performance and addressed environmental concerns for …
enhanced sustainability performance and addressed environmental concerns for …
A review of on-device machine learning for IoT: An energy perspective
Recently, there has been a substantial interest in on-device Machine Learning (ML) models
to provide intelligence for the Internet of Things (IoT) applications such as image …
to provide intelligence for the Internet of Things (IoT) applications such as image …
[HTML][HTML] An IoT system using deep learning to classify camera trap images on the edge
Camera traps deployed in remote locations provide an effective method for ecologists to
monitor and study wildlife in a non-invasive way. However, current camera traps suffer from …
monitor and study wildlife in a non-invasive way. However, current camera traps suffer from …
Evaluating YOLO architectures for detecting road killed endangered Brazilian animals
GS Ferrante, LH Vasconcelos Nakamura, S Sampaio… - Scientific reports, 2024 - nature.com
Wildlife roadkill is a recurring, dangerous problem that affects both humans and animals and
has received increasing attention from environmentalists worldwide. Addressing this …
has received increasing attention from environmentalists worldwide. Addressing this …
Improving the generalization of visual classification models across IoT cameras via cross-modal inference and fusion
QL Guan, Y Zheng, L Meng, LQ Dong… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The performance of visual classification models across Internet of Things devices is usually
limited by the changes in local environments, resulted from the diverse appearances of the …
limited by the changes in local environments, resulted from the diverse appearances of the …
Improving animal monitoring using small unmanned aircraft systems (sUAS) and deep learning networks
In recent years, small unmanned aircraft systems (sUAS) have been used widely to monitor
animals because of their customizability, ease of operating, ability to access difficult to …
animals because of their customizability, ease of operating, ability to access difficult to …
Evaluating the method reproducibility of deep learning models in biodiversity research
Artificial intelligence (AI) is revolutionizing biodiversity research by enabling advanced data
analysis, species identification, and habitats monitoring, thereby enhancing conservation …
analysis, species identification, and habitats monitoring, thereby enhancing conservation …
Filtering empty camera trap images in embedded systems
Monitoring wildlife through camera traps produces a massive amount of images, whose a
significant portion does not contain animals, being later discarded. Embedding deep …
significant portion does not contain animals, being later discarded. Embedding deep …
Bag of tricks for long-tail visual recognition of animal species in camera-trap images
Camera traps are a method for monitoring wildlife and they collect a large number of
pictures. The number of images collected of each species usually follows a long-tail …
pictures. The number of images collected of each species usually follows a long-tail …
Understanding the state of the Art in Animal detection and classification using computer vision technologies
GS Ferrante, FM Rodrigues… - … Conference on Big …, 2021 - ieeexplore.ieee.org
This work presents the results of a survey through the analysis of studies published between
January 2017 and May 2021, aiming to compose a broader view of the state of the art in the …
January 2017 and May 2021, aiming to compose a broader view of the state of the art in the …