Yazar "Gungor, Vehbi Cagri" için listeleme
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Ambient Energy Harvesting for Low Powered Wireless Sensor Network based Smart Grid Applications
Faheem, Muhammad; Ashraf, Muhammad Waqar; Butt, Rizwan Aslam; Raza, Basit; Ngadi, Md. Asri; Gungor, Vehbi Cagri (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2019)Limited battery lifetime is one of the most critical issues for wireless sensor networks (WSNs)-based smart grid (SG) applications. Recently, ambient energy harvesting (AEH) has been considered to significantly improve the ... -
Analysis of compressive sensing and energy harvesting for wireless multimedia sensor networks
Tekin, Nazli; Gungor, Vehbi Cagri (ELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, 2020)One of the main concerns of Wireless Multimedia Sensor Networks (WMSNs) is the huge data size causing the higher energy consumption in transmission. The high energy consumption is a critical problem for lifetime of network ... -
Big Data acquired by Internet of Things-enabled industrial multichannel wireless sensors networks for active monitoring and control in the smart grid Industry 4.0
Faheem, Muhammad; Fizza, Ghulam; Ashraf, Muhammad Waqar; Butt, Rizwan Aslam; Ngadi, Md. Asri; Gungor, Vehbi Cagri (ELSEVIERRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, 2021)Smart Grid Industry 4.0 (SGI4.0) defines a new paradigm to provide high-quality electricity at a low cost by reacting quickly and effectively to changing energy demands in the highly volatile global markets. However, in ... -
Capacity and spectrum-aware communication framework for wireless sensor network-based smart grid applications
Faheem, Muhammad; Gungor, Vehbi Cagri (ELSEVIERRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, 2017)Recently, wireless sensor networks (WSNs) have been widely recognized as a promising technology for enhancing various aspects of smart grid and realizing the vision of next-generation electric power system in a cost-effective ... -
CBI4.0: A cross-layer approach for big data gathering for active monitoring and maintenance in the manufacturing industry 4.0
Faheem, Muhammad; Butt, Rizwan Aslam; Ali, Rashid; Raza, Basit; Ngadi, Md Asri; Gungor, Vehbi Cagri (ELSEVIERRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, 2021)Industry 4.0 (I4.0) defines a new paradigm to produce high-quality products at the low cost by reacting quickly and effectively to changing demands in the highly volatile global markets. In Industry 4.0, the adoption of ... -
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 ... -
Cognitive Radio Networks for Smart Grid Communications Potential Applications, Protocols, and Research Challenges
Kogias, Dimitris; Tuna, Gurkan; Gungor, Vehbi Cagri (CRC PRESS-TAYLOR & FRANCIS GROUP6000 BROKEN SOUND PARKWAY NW, STE 300, BOCA RATON, FL 33487-2742 USA, 2016)Cognitive Radio Networks for Smart Grid Communications Potential Applications, Protocols, and Research Challenges -
Collecting smart meter data via public transportation buses
Bilgin, Bilal Erman; Baktir, Selcuk; Gungor, Vehbi Cagri (WILEY111 RIVER ST, HOBOKEN 07030-5774, NJ, 2016)With advances in technology, wireless sensor networks (WSNs) have found new applications and their popularity has increased dramatically. In several applications, WSNs have the potential to replace wired data communication ... -
Communications Technologies for Smart Grid Applications: A Review of Advances and Challenges
Tuna, Gurkan; Daş, Resul; Gungor, Vehbi Cagri (IGI Global, 2022)Smart grid is a modern power grid infrastructure for improved efficiency, reliability, and safety, with smooth integration of renewable and alternative energy sources, through automated control and modern communications ... -
Credit Card Fraud Detection with Machine Learning Methods
Goy, Gokhan; Gezer, Cengiz; Gungor, Vehbi Cagri (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 01.01.2019)With the increase in credit card usage of people, the credit card transactions increase dramatically. It is difficult to identify fraudulent transactions among the vast amount of credit card transactions. Although credit ... -
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 efficient multi-objective evolutionary routing scheme for reliable data gathering in Internet of underwater acoustic sensor networks
Faheem, Muhammad; Ngadi, Asri; Gungor, Vehbi Cagri (ELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, 2019)Earth's surface is covered with two-thirds of water. The marine world covers the lakes, rivers and sea and is rich in natural resources largely unexplored by human beings. Recently, underwater wireless sensor network (UWSN) ... -
Ensemble Churn Prediction for Internet Service Provider with Machine Learning Techniques
Goy, Gokhan; Kolukisa, Burak; Bahcevan, Cenk; Gungor, Vehbi Cagri (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2020)With the developing technology in every fields, a competitive marketing environment has been arised In this competitive environment analyzing customer behavior has become vital In particular, the ability to easily change ... -
Ensemble Feature Selection for Clustering Damage Modes in Carbon Fiber-Reinforced Polymer Sandwich Composites Using Acoustic Emission
Gulsen, Abdulkadir; Kolukisa, Burak; Caliskan, Umut; Bakir-Gungor, Burcu; Gungor, Vehbi Cagri (John Wiley and Sons Inc, 2024)Acoustic emission (AE) serves as a noninvasive technique for real-time structural health monitoring, capturing the stress waves produced by the formation and growth of cracks within a material. This study presents a novel ...
