WilDect-YOLO: An efficient and robust computer vision-based accurate object localization model for automated endangered wildlife detection
Objective. With climatic instability, various ecological disturbances, and human actions
threaten the existence of various endangered wildlife species. Therefore, an up-to-date …
threaten the existence of various endangered wildlife species. Therefore, an up-to-date …
Real-time hand gesture recognition using fine-tuned convolutional neural network
Hand gesture recognition is one of the most effective modes of interaction between humans
and computers due to being highly flexible and user-friendly. A real-time hand gesture …
and computers due to being highly flexible and user-friendly. A real-time hand gesture …
Multimodal biometric system based on fusion techniques: a review
Biometric allude to an automatic procedure of acknowledging an individual utilizing their
behavioral or physical characteristics. The biometric framework, which utilizes one cue for …
behavioral or physical characteristics. The biometric framework, which utilizes one cue for …
Integrated animal monitoring system with animal detection and classification capabilities: a review on image modality, techniques, applications, and challenges
N Sundaram, SD Meena - Artificial Intelligence Review, 2023 - Springer
The continuous monitoring of animals is crucial for the well-being of both humans and
animals. A comprehensive animal monitoring system must incorporate animal detection …
animals. A comprehensive animal monitoring system must incorporate animal detection …
Tomato disease recognition using a compact convolutional neural network
The detection of diseases in tomatoes in advance and early intervention and treatment
increase the production amount, efficiency, and quality, which will satisfy the consumer with …
increase the production amount, efficiency, and quality, which will satisfy the consumer with …
ECG classification using three-level fusion of different feature descriptors
Z Golrizkhatami, A Acan - Expert Systems with Applications, 2018 - Elsevier
Fusion of feature descriptors extracted from a signal through different methods is an
important issue for the exploitation of representational power of each descriptor. In this …
important issue for the exploitation of representational power of each descriptor. In this …
Modelling and validation of computer vision techniques to assess heart rate, eye temperature, ear-base temperature and respiration rate in cattle
Simple Summary Animal monitoring normally requires procedures that are time-and labour-
consuming. The implementation of novel non-invasive technologies could be a good …
consuming. The implementation of novel non-invasive technologies could be a good …
A computer vision-based object localization model for endangered wildlife detection
Objective. With climatic instability, various ecological disturbances, and human actions
threaten the existence of various endangered wildlife species. Therefore, up-to-date …
threaten the existence of various endangered wildlife species. Therefore, up-to-date …
Dog nose-print identification using deep neural networks
HB Bae, D Pak, S Lee - IEEE Access, 2021 - ieeexplore.ieee.org
Recently, there has been rapid growth in the number of people who own companion pets
(cats and dogs) due to low birth rates, an increasingly aging population, and an increasing …
(cats and dogs) due to low birth rates, an increasingly aging population, and an increasing …
Progressive fusion for multimodal integration
S Shankar, L Thompson, M Fiterau - arXiv preprint arXiv:2209.00302, 2022 - arxiv.org
Integration of multimodal information from various sources has been shown to boost the
performance of machine learning models and thus has received increased attention in …
performance of machine learning models and thus has received increased attention in …