Yazar "0000-0003-0803-8372" için Mühendislik Fakültesi listeleme
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Cloud Computing for Smart Grid applications
Baktir, Selcuk; Gungor, Vehbi Cagri; Yigit, Melike (ELSEVIER, 2014)A reliable and efficient communications system is required for the robust, affordable and secure supply of power through Smart Grids (SG). Computational requirements for Smart Grid applications can be met by utilizing the ... -
Comparison of QoS-aware single-path vs. multi-path routing protocols for image transmission in wireless multimedia sensor networks
Macit, Muhammet; Gungor, V. Cagri; Tuna, Gurkan (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 ... -
Credit Risk Analysis based on Hybrid Classification: Case Studies on German and Turkish Credit Datasets
Cetiner, Erkan; Kocak, Taskin; Güngör, Vehbi Çağrı (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, ... -
Deep learning approaches for vehicle type classification with 3-D magnetic sensor
Kolukisa, Burak; Yildirim, Veli Can; Elmas, Bahadir; Ayyildiz, Cem; Gungor, Vehbi Cagri (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 ... -
Deep Learning Based Employee Attrition Prediction
Gurler, Kerem; Pak, Burcu Kuleli; Gungor, Vehbi Cagri (SPRINGER LINK, 2023)Employee attrition is a critical issue for the business sectors as leaving employees cause various types of difficulties for the company. Some studies exist on examining the reasons for this phenomenon and predicting it ... -
A deep neural network approach with hyper-parameter optimization for vehicle type classification using 3-D magnetic sensor
Kolukisa, Burak; Yildirim, Veli Can; Ayyildiz, Cem; Gungor, Vehbi Cagri (ELSEVIER, 2023)The identification of vehicle types plays a critical role in Intelligent Transportation Systems. In this study, battery-operated, easy-to-install, low-cost 3-D magnetic traffic sensors have been developed for vehicle type ... -
EDHRP: Energy efficient event driven hybrid routing protocol for densely deployed wireless sensor networks
Faheem, Muhammad; Abbas, Muhammad Zahid; Tuna, Gurkan; Gungor, Vehbi Cagri (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 ... -
An efficient network intrusion detection approach based on logistic regression model and parallel artificial bee colony algorithm
Kolukısa, Burak; Dedeturk, Bilge Kagan; Hacilar, Hilal; Gungor, Vehbi Cagri (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 ... -
Energy consumption of on-device machine learning models for IoT intrusion detection
Tekin, Nazli; Acar, Abbas; Aris, Ahmet; Uluagac, A. Selcuk; Gungor, Vehbi Cagri (ELSEVIER, 2023)Recently, Smart Home Systems (SHSs) have gained enormous popularity with the rapid development of the Internet of Things (IoT) technologies. Besides offering many tangible benefits, SHSs are vulnerable to attacks that ... -
Energy efficient and reliable data gathering using internet of software-defined mobile sinks for WSNs-based smart grid applications
Faheem, Muhammad Yasir; Butt, R. Aslam; Raza, Basit; Ashraf, M. Waqar; Ngadi, Md.A.; Gungor, Vehbi Cagri (ELSEVIER, 2019)The smart grid is an emerging concept that introduces innovative ways to handle the power quality and reliability issues for both service provider and consumers. The key aims of the smart grid (SG) in smart cities (SCs) ... -
Energy harvesting and battery technologies for powering wireless sensor networks
Tuna, Gürkan; Güngör, Vehbi Çağrı (ELSEVIER, 2016)Due to the advances in wireless sensor networks (WSNs), factory and plant process automation systems are being reinvented. WSN-based industrial applications often cost much less than wired networks in both the short and ... -
An Ensemble Feature Selection Methodology That Incorporates Domain Knowledge for Cardiovascular Disease Diagnosis
Kolukisa, Burak; Güngör, Vehbi Çağrı; Gungor, Burcu Bakir (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) ... -
Evaluation of hybrid classification approaches: Case studies on credit datasets
Cetiner, Erkan; Gungor, Vehbi Cagri; Kocak, Taskin (SPRINGER, 2018)Hybrid classification approaches on credit domain are widely used to obtain valuable information about customer behaviours. Single classification algorithms such as neural networks, support vector machines and regression ... -
Generating Emergency Evacuation Route Directions Based on Crowd Simulations with Reinforcement Learning
Unal, Ahmet Emin; Gezer, Cengiz; Pak, Burcu Kuleli; Gungor, Vehbi Cagri (Institute of Electrical and Electronics Engineers Inc., 2022)In an emergency, it is vital to evacuate individuals from the dangerous environments. Emergency evacuation planning ensures that the evacuation is safe and optimal in terms of evacuation time for all of the people in ... -
Guest Editorial Special Section on Industrial Wireless Sensor Networks
Hancke, Gerhard P., Jr.; Gungor, V. Cagri; Hancke, Gerhard P., Sr. (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2014)The eight papers in this special section focus on industrial wireless sensor networks. -
Intelligent traffic light systems using edge flow predictions
Thahir, Adam Rizvi; Coşkun, Mustafa; Kılıç, Sultan Kübra; Gungor, Vehbi Cagrı (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 ... -
Kablosuz Sualtı Algılayıcı Ağlarında Katmanlar Arası İletişim Ve Fırsatçı Spektrum Erişimi
Güngör, Vehbi Çağrı; Tuna, Gürkan (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 ... -
Lifetime analysis of wireless sensor nodes in different smart grid environments
Eris, Cigdem; Saimler, Merve; Gungor, Vehbi Cagri; Fadel, Etimad; Akyildiz, Ian F (SPRINGER, 2014)Wireless sensor networks (WSNs) can help the realization of low-cost power grid automation systems where multi-functional sensor nodes can be used to monitor the critical parameters of smart grid components. The WSN-based ... -
Linear vs. Non-Linear Embedding Methods in Recommendation Systems
Gurler, Kerem; Coskun, Mustafa; Karagenc, Safak; Orun, Gokhan; Pak, Burcu Kuleli; Gungor, Vehbi Cagri (Institute of Electrical and Electronics Engineers Inc., 2022)Predicting customer interest in items is very crucial in direct marketing as it can potentially boost sales. Data mining techniques are developed to predict which items a particular user might be interested in based on ... -
Machine learning approaches for underwater sensor network parameter prediction
Uyan, Osman Gokhan; Akbas, Ayhan; Gungor, Vehbi Cagri (ELSEVIER, 2023)Underwater Acoustic Sensor Networks (UASNs) have recently attracted scientists due to its wide range of real -world applications. However, there are design challenges in UASNs, such as limited network lifetime and low ...