Güncel Gönderiler: Bilgisayar Mühendisliği Bölümü Koleksiyonu
Toplam kayıt 292, listelenen: 61-80
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Multi-focus image fusion by using swarm and physics based metaheuristic algorithms: a comparative study with archimedes, atomic orbital search, equilibrium, particle swarm, artificial bee colony and jellyfish search optimizers
(SPRINGER, 2023)The lenses focus only on the objects at a specific distance when an image is captured, the objects at other distances look blurred. This is referred to as the limited depth of field problem, and several attempts exist to ... -
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 ... -
Zenginleştirilmiş Öznitelikler ve Makine Öğrenmesi Yöntemleriyle Protein Yerel Yapı Tahmini
(TUBİTAK, 2017)Projenin amacı proteinlerde bulunan ikincil yapı, dihedral açı ve çözücü erişilirlik gibi bir boyutlu yapısal özelliklerin başarılı olarak tahmin edilmesi ve bu tahminleri kullanarak parçacık seçimi yapan yeni bir yöntem ... -
Kablosuz Sualtı Algılayıcı Ağlarında Katmanlar Arası İletişim Ve Fırsatçı Spektrum Erişimi
(TUBİTAK, 2018)Dünyamızın üçte ikisinden fazlası sularla kaplıdır. Denizlerden, göllerden ve nehirlerden oluşan sualtı dünyası doğal kaynaklar (petrol, doğalgaz ve değerli mineraller) bakımından oldukça zengin olup insanoğlu tarafından ... -
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. ... -
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 ... -
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 ...
