Güncel Gönderiler: Bilgisayar Mühendisliği Bölümü Koleksiyonu
Toplam kayıt 286, listelenen: 101-120
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PriPath: identifying dysregulated pathways from differential gene expression via grouping, scoring, and modeling with an embedded feature selection approach
(BMC, 2023)BackgroundCell homeostasis relies on the concerted actions of genes, and dysregulated genes can lead to diseases. In living organisms, genes or their products do not act alone but within networks. Subsets of these networks ... -
Improved classification of colorectal polyps on histopathological images with ensemble learning and stain normalization
(ELSEVIER IRELAND, 2023)Background and Objective: Early detection of colon adenomatous polyps is critically important because correct detection of it significantly reduces the potential of developing colon cancers in the future. The key challenge ... -
IGPRED-MultiTask: A Deep Learning Model to Predict Protein Secondary Structure, Torsion Angles and Solvent Accessibility
(IEEE COMPUTER SOC, 2023)Protein secondary structure, solvent accessibility and torsion angle predictions are preliminary steps to predict 3D structure of a protein. Deep learning approaches have achieved significant improvements in predicting ... -
Topological feature generation for link prediction in biological networks
(PEERJ INC, 2023)Graph or network embedding is a powerful method for extracting missing or potential information from interactions between nodes in biological networks. Graph embedding methods learn representations of nodes and interactions ... -
AMP-GSM: Prediction of Antimicrobial Peptides via a Grouping–Scoring–Modeling Approach
(MDPI, 2023)Due to the increasing resistance of bacteria to antibiotics, scientists began seeking new solutions against this problem. One of the most promising solutions in this field are antimicrobial peptides (AMP). To identify ... -
A Top-Down Approach for Finding Affected Pathway Subnetworks in Type 2 Diabetes
(IEEE, 2020)Diyabet (Diabetes Mellitus, DM), insülin üreten pankreas beta hücrelerindeki fonksiyon bozukluğu, insülin direnci veya insülinin işlevselliğinin bozulması ile meydana gelen bir tür metabolik bozukluktur. Diyabet vakalarının ... -
Blockchain Based User Management System
(IEEE, 2020)—Blokzinciri, çeşitli kriptografi teknikleri kullanılarak birbirine bağlanmış bloklar içerisinde bulunan verilerin, ağ üzerinde diğer noktalara dağıtılmasıyla oluşturulan güvenilir ve şeffaf bir yapıdır. Mevcut veri ... -
An Ensemble Feature Selection Methodology That Incorporates Domain Knowledge for Cardiovascular Disease Diagnosis
(IEEE, 2020)Koroner Arter Hastalığı (KAH), arterlerin duvarlarında aterom denilen yağlı madde birikiminin bir sonucu olarak kalbin yeterince beslenememesi durumudur. KAH, 2016 yılında dünyadaki toplam ölümlerin %31'ine (17,9 milyon) ... -
Blockchain-based Fog Computing Applications in Healthcare
(IEEE, 2020)— Son zamanlarda blokzincir teknolojisinin sağlık alanında kullanımı artmıştır. Blokzincir teknolojisinin sağlık alanına getirdiği birçok yenilik olmasına rağmen, halen çözülmeyi bekleyen problemleri mevcuttur. Bu ... -
Credit Risk Analysis based on Hybrid Classification: Case Studies on German and Turkish Credit Datasets
(IEEE, 2018)— Kredi risk analizi, karar verme süreçleri açısından finans sektöründe önemli bir rol oynamaktadır. Bankalar ve finansal kuruluşlar, müşterilerinden büyük ölçeklerde ham veri toplamaktadırlar. Veri madenciliği teknikleri, ... -
Comparison of Machine Learning Classifiers for Protein Secondary Structure Prediction
(IEEE, 2018)Proteinlerin üç boyutlu yapılarının tahmin edilmesi teorik kimya ve biyoenformatik için önemli problemlerden biridir. Protein yapı tahmininin en önemli aşamalarından biri ise ikincil yapı tahminidir. Protein veritabanlarındaki ... -
Comparison of NR and UniClust Databases for Protein Secondary Structure Prediction
(IEEE, 2018)Proteinlerin üç boyutlu yapılarının tahmin edilmesi teorik kimya ve biyoenformatik için önemli problemlerden biridir. Üç boyutlu yapı tahminin en önemli aşamalarından biri ise ikincil yapı tahminidir. İkincil yapı ... -
Knowledge based response correction method for design of reconfigurable N-shaped microstrip patch antenna using inverse ANNs
(WILEY, 2017)Artificial neural networks (ANNs) have been often used for engineering design problems. In this work, an inverse model of a reconfigurable N-shaped microstrip patch antenna which is formed by ANN is considered to find ... -
EDHRP: Energy efficient event driven hybrid routing protocol for densely deployed wireless sensor networks
(ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD, 2015)Efficient management of energy resources is a challenging research area in Wireless Sensor Networks (WSNs). Recent studies have revealed that clustering is an efficient topology control approach for organizing a network ... -
A Smart Parking Lot Management System for Scheduling the Recharging of Electric Vehicles
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2015)In this paper, we propose a centralized electric vehicles (EVs) recharge scheduling system for parking lots using a realistic vehicular mobility/parking pattern focusing on individual parking lots. We consider two different ... -
Deep learning approaches for vehicle type classification with 3-D magnetic sensor
(ELSEVIER, 2022)In the Intelligent Transportation Systems, it is crucial to determine the type of vehicles to improve traffic management, increase human comfort, and enable future development of transport infrastructures. This paper presents ... -
Comparison of QoS-aware single-path vs. multi-path routing protocols for image transmission in wireless multimedia sensor networks
(ELSEVIER, 2014)Wireless multimedia sensor network (WMSN) applications require strong multimedia communication competence. Therefore, in WMSN applications, it is necessary to use specific mechanisms in order to handle multimedia communication ... -
Guest Editorial: Special Section on Industrial Wireless Sensor Networks
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2014)The eight papers in this special section focus on industrial wireless sensor networks. -
Routing protocol design guidelines for smart grid environments
(ELSEVIER, 2014)The evaluation of the current electric power grid with novel communication facilities is one of the most challenging and exciting issues of the 21st century. The modern grid technology is called the smart grid in the sense ... -
On the interdependency between multi-channel scheduling and tree-based routing for WSNs in smart grid environments
(ELSEVIER, 2014)Field tests show that the link-quality of wireless links in different smart grid environments, such as outdoor substation, varies greatly both in space and time because of various factors, including multi-path, fading, ...
