Artificial intelligence bias in medical system designs: A systematic review

A Kumar, V Aelgani, R Vohra, SK Gupta… - Multimedia Tools and …, 2024 - Springer
Inherent bias in the artificial intelligence (AI)-model brings inaccuracies and variabilities
during clinical deployment of the model. It is challenging to recognize the source of bias in AI …

Hybrid approach for suspicious object surveillance using video clips and UAV images in cloud-IoT-based computing environment

R Ahamad, KN Mishra - Cluster Computing, 2024 - Springer
In broad terms, it can be said that the existing video surveillance systems with automatic face
recognition and manual face detection in crewless aerial vehicles (UAVs') video frames did …

Three-dimensional particle image velocimetry measurement through three-dimensional U-Net neural network

L Cao, MM Hossain, J Li, C Xu - Physics of Fluids, 2024 - pubs.aip.org
This paper proposes a light field (LF) three-dimensional (3D) particle image velocimetry
(PIV) method based on a digital refocused algorithm and 3D U-Net neural network for 3D …

Classification of 2D Ultrasound Breast Cancer Images with Deep Learning

J Ellis, K Appiah… - Proceedings of the …, 2024 - openaccess.thecvf.com
Breast cancer is the second most prevalent form of cancer and is the" leading cause of most
cancer-related deaths in women". Most women living in low-and middle-income countries …

Improved multiview biometric object detection for anti spoofing frauds

P Asmitha, C Rupa, S Nikitha, J Hemalatha… - Multimedia Tools and …, 2024 - Springer
Computer vision and deep learning are essential in human authentication. It provides
answers to numerous issues faced in the real world. Moreover, it has a great potential in …

[PDF][PDF] Cost-Effective Optimization of the Grid-Connected Residential Photovoltaic Battery System Based on Reinforcement Learning

Y Xu, W Gao, Y Li - HUMAN-CENTRIC COMPUTING AND INFORMATION …, 2024 - hcisj.com
With the rapid development of photovoltaic (PV) and energy storage systems, optimization
strategies focus more on cost-effectiveness energy system management. However, the …

Deep Learning-Powered Face Detection and Recognition for Challenging Environments

TJ Reddy, MS Ganesh, MHK Reddy… - … on Intelligent Data …, 2024 - ieeexplore.ieee.org
The increasing prevalence of surveillance systems in both public and private domains
underscores the growing need for robust human face detection and recognition capabilities …

Oppositional Brain Storm Optimization with Deep Learning based Facial Emotion Recognition for Autonomous Intelligent Systems

T PrabhakaraRao, S Patnala, CV Raghavendran… - IEEE …, 2024 - ieeexplore.ieee.org
Autonomous Intelligent Systems (AIS) states to a class of intelligent devices that manage
and create decisions independently without human interference. These techniques use …

Advancing Ear Biometrics: Enhancing Accuracy and Robustness through Deep Learning

Y Mohamed, Z Youssef, A Heakl, A Zaky - arXiv preprint arXiv:2406.00135, 2024 - arxiv.org
Biometric identification is a reliable method to verify individuals based on their unique
physical or behavioral traits, offering a secure alternative to traditional methods like …

FISH-CC: novel face identification using spider hierarchy (FISH) with a classic classifier

B Ranganathan, G Palanisamy - Signal, Image and Video Processing, 2024 - Springer
Face is one of the most important biometric traits utilized by humans for recognition. Face
recognition is the prominent biometric method for human authentication, and it is used in …