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 …
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 …
[HTML][HTML] Comprehensive assessment of artificial intelligence tools for driver monitoring and analyzing safety critical events in vehicles
Human factors are a primary cause of vehicle accidents. Driver monitoring systems, utilizing
a range of sensors and techniques, offer an effective method to monitor and alert drivers to …
a range of sensors and techniques, offer an effective method to monitor and alert drivers to …
Animal detection based on deep convolutional neural networks with genetic segmentation
This paper presents a system for automatic detection and recognition of the animals using
Deep CNN with genetic segmentation. In the present work, the grouping of input animal …
Deep CNN with genetic segmentation. In the present work, the grouping of input animal …
[Retracted] A Machine Learning Model for Early Prediction and Detection of Sepsis in Intensive Care Unit Patients
In today's scenario, sepsis is impacting millions of patients in the intensive care unit due to
the fact that the mortality rate is increased exponentially and has become a major challenge …
the fact that the mortality rate is increased exponentially and has become a major challenge …
A vehicle detection and tracking method for traffic video based on faster R-CNN
M Othmani - Multimedia Tools and Applications, 2022 - Springer
In this paper we present a vehicle detection and tracking method for traffic video analysis
based on deep learning technology. Indeed, with the rapid development of deep neural …
based on deep learning technology. Indeed, with the rapid development of deep neural …
A Lightweight Deep Learning‐Based Approach for Jazz Music Generation in MIDI Format
In today's real‐world, estimation of the level of difficulty of the musical is part of very
meaningful musical learning. A musical learner cannot learn without a defined precise …
meaningful musical learning. A musical learner cannot learn without a defined precise …
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 …
Unveiling digital image forgeries using Markov based quaternions in frequency domain and fusion of machine learning algorithms
Nowadays, digital images have been manipulated for various fraudulent purposes from time
to time. Therefore, proposing a detection algorithm for such manipulations has become a …
to time. Therefore, proposing a detection algorithm for such manipulations has become a …
[HTML][HTML] A performance comparison and enhancement of animal species detection in images with various r-cnn models
M Ibraheam, KF Li, F Gebali, LE Sielecki - AI, 2021 - mdpi.com
Object detection is one of the vital and challenging tasks of computer vision. It supports a
wide range of applications in real life, such as surveillance, shipping, and medical …
wide range of applications in real life, such as surveillance, shipping, and medical …