Güncel Gönderiler: Bilgisayar Mühendisliği Bölümü Koleksiyonu
Toplam kayıt 286, listelenen: 61-80
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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 ... -
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 ... -
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 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, ... -
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 ... -
GeNetOntology: identifying affected gene ontology terms via grouping, scoring, and modeling of gene expression data utilizing biological knowledge-based machine learning
(FRONTIERS MEDIA SA, 2023)Introduction: Identifying significant sets of genes that are up/downregulated under specific conditions is vital to understand disease development mechanisms at the molecular level. Along this line, in order to analyze ... -
Gaussian of Differences: A Simple and Efficient General Image Fusion Method
(MDPI, 2023)The separate analysis of images obtained from a single source using different camera settings or spectral bands, whether from one or more than one sensor, is quite difficult. To solve this problem, a single image containing ... -
TextNetTopics Pro, a topic model-based text classification for short text by integration of semantic and document-topic distribution information
(FRONTIERS MEDIA SA, 2023)With the exponential growth in the daily publication of scientific articles, automatic classification and categorization can assist in assigning articles to a predefined category. Article titles are concise descriptions ... -
Recent Advances in Machine Learning for Network Automation in the O-RAN
(MDPI, 2023)The evolution of network technologies has witnessed a paradigm shift toward open and intelligent networks, with the Open Radio Access Network (O-RAN) architecture emerging as a promising solution. O-RAN introduces ... -
HealthFaaS: AI-Based Smart Healthcare System for Heart Patients Using Serverless Computing
(IEEE, 2023)Heart disease is one of the leading causes of death worldwide, and with early detection, mortality rates can be reduced. Well-known studies have shown that the latest artificial intelligence (AI) can be used to determine ... -
BlockFaaS: Blockchain-enabled Serverless Computing Framework for AI-driven IoT Healthcare Applications
(SPRINGER, 2023)With the development of new sensor technologies, Internet of Things (IoT)-based healthcare applications have gained momentum in recent years. However, IoT devices have limited resources, making them incapable of executing ... -
microBiomeGSM: the identification of taxonomic biomarkers from metagenomic data using grouping, scoring and modeling (G-S-M) approach
(FRONTIERS MEDIA SA, 2023)Numerous biological environments have been characterized with the advent of metagenomic sequencing using next generation sequencing which lays out the relative abundance values of microbial taxa. Modeling the human microbiome ... -
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 ... -
Sentiment Analizinde Öznitelik Düşürme Yöntemlerinin Oto Kodlayıcılı Derin Öğrenme Makinaları ile Karşılaştırılması
(Gazi Üniversitesi, 2017)-- Günümüz teknolojisinde internetin her kesim tarafından çok yoğun olarak kullanılmasından dolayı insanlar artık görüş, fikir ve hislerini sosyal paylaşım siteleri, forum, blog benzeri birçok ortam aracılığı ile paylaşmaya ... -
Privacy-Preserving Wireless Indoor Localization Systems
(Kocaeli Üniversitesi Fen Bilimleri Enstitüsü, 2023)Recently the number of buildings and interior spaces has increased, and many systems have been proposed to locate people or objects in these environments. At present, several technologies, such as GPS, Bluetooth, Wi-Fi, ... -
Performance Analysis of Machine Learning and Bioinformatics Applications on High Performance Computing Systems
(Akademik Perspektif Derneği, 2020)Nowadays, it is becoming increasingly important to use the most efficient and most suitable computational resources for algorithmic tools that extract meaningful information from big data and make smart decisions. In this ... -
COMPARATIVE PERFORMANCE ANALYSIS OF ARIMA, PROPHET AND HOLT-WINTERS FORECASTING METHODS ON EUROPEAN COVID-19 DATA
(Kerim ÇETİNKAYA, 2022)COVID-19 is the most common infectious disease of the last few years and has caused an outbreak all around the world. The mortality rate, which was earlier in the hundreds, increased to thousands and then to millions. ... -
Machine Learning based Early Prediction of Type 2 Diabetes: A New Hybrid Feature Selection Approach using Correlation Matrix with Heatmap and SFS
(İstanbul Teknik Üniversitesi, 2022)A new hybrid machine learning method for the prediction of type 2 diabetes is introduced and explained in detail. Also outcomes are compared with the similar researches. Early prediction of diabetes is crucial to take ... -
Comparative analysis of machine learning approaches for predicting respiratory virus infection and symptom severity
(PEERJ INC, 2023)Respiratory diseases are among the major health problems causing a burden on hospitals. Diagnosis of infection and rapid prediction of severity without time-consuming clinical tests could be beneficial in preventing the ...
