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Toplam kayıt 10, listelenen: 1-10
Intelligent traffic light systems using edge flow predictions
(ELSEVIER, 2024)
In this paper, we propose a novel graph-based semi-supervised learning approach for traffic light management in multiple intersections. Specifically, the basic premise behind our paper is that if we know some of the occupied ...
A review of on-device machine learning for IoT: An energy perspective
(ELSEVIER, 2024)
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 classification, human activity recognition, ...
Multi-Agent Context Learning Strategy for Interference-Aware Beam Allocation in mmWave Vehicular Communications
(IEEE, 2024)
Millimeter wave (mmWave) has been recognized as one of key technologies for 5G and beyond networks due to its potential to enhance channel bandwidth and network capacity. The use of mmWave for various applications including ...
A Deep Ensemble Approach for Long-Term Traffic Flow Prediction
(SPRINGER, 2024)
In the last 50 years, with the growth of cities and increase in the number of vehicles and mobility, traffic has become
troublesome. As a result, traffic flow prediction started to attract attention as an important research ...
Human identification using palm print images based on deep learning methods and gray wolf optimization algorithm
(SPRINGER, 2024)
Palm print identification is a biometric technique that relies on the distinctive characteristics of a person’s palm print to distinguish and authenticate their identity. The unique pattern of ridges, lines, and other ...
PRICELESS: Privacy enhanced AI-driven scalable framework for IoT applications in serverless edge computing environments
(JOHN WILEY & SONS LTD, 2024)
Serverless edge computing has emerged as a new paradigm that integrates the
serverless and edge computing. By bringing processing power closer to the edge
of the network, it provides advantages such as low latency by ...
Artificial cells: A potentially groundbreaking field of research and therapy
(Sciendo, 2024)
Artificial cells are synthetic constructs that mimic the architecture and functions of biological cells. Artificial cells are designed to
replicate the fundamental principles of biological systems while also have the ...
Improved senescent cell segmentation on bright-field microscopy images exploiting representation level contrastive learning
(WILEY Online Library, 2024)
Mesenchymal stem cells (MSCs) are stromal cells which have multi-lineage
differentiation and self-renewal potentials. Accurate estimation of total
number of senescent cells in MSCs is crucial for clinical applications. ...
An efficient network intrusion detection approach based on logistic regression model and parallel artificial bee colony algorithm
(ELSEVIER, 2024)
In recent years, the widespread use of the Internet has created many issues, especially in the area of cybersecurity. It is critical to detect intrusions in network traffic, and researchers have developed network intrusion ...
An effective colorectal polyp classification for histopathological images based on supervised contrastive learning
(ELSEVIER, 2024)
Early detection of colon adenomatous polyps is pivotal in reducing colon cancer risk. In this context, accurately distinguishing between adenomatous polyp subtypes, especially tubular and tubulovillous, from hyperplastic ...