Yazar "Gungor, Vehbi Cagri" için Bilgisayar Mühendisliği Bölümü Koleksiyonu listeleme
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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 ... -
The impact of error control schemes on lifetime of energy harvesting wireless sensor networks in industrial environments
Tekin, Nazli; Gungor, Vehbi Cagri (ELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, 2020)Due to the harsh channel conditions of the industrial environments, the data transmission over the wireless channel suffers from erroneous packets. The energy consumption of error control schemes is of great importance for ... -
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 ... -
LRP: Link quality-aware queue-based spectral clustering routing protocol for underwater acoustic sensor networks
Faheem, Muhammad; Tuna, Gurkan; Gungor, Vehbi Cagri (WILEY111 RIVER ST, HOBOKEN 07030-5774, NJ, 2017)Recently, underwater acoustic sensor networks (UASNs) have been considered as a promising approach for monitoring and exploring the oceans in lieu of traditional underwater wireline instruments. As a result, a broad range ... -
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 ... -
Man-hour Prediction for Complex Industrial Products
Unal, Ahmet Emin; Boyar, Halit; Pak, Burcu Kuleli; Cem Yildiz, Mehmet; Erten, Ali Erman; Gungor, Vehbi Cagri (Institute of Electrical and Electronics Engineers Inc., 2023)Accurately predicting the cost is crucial for the success of complex industrial projects. There can be several sources contributing to the cost. Traditional methods for cost estimation may not provide the required ... -
Micro-Electromechanical Systems for Underwater Environments
Gungor, Vehbi Cagri; Tuna, Gurkan (IGI GLOBAL701 E CHOCOLATE AVE, STE 200, HERSEY, PA 17033-1240 USA, 2017)Underwater networking technologies have brought us unforeseen ways to explore the unexplored aquatic environment and this way provided us with a large number of different kinds of applications for environmental, scientific, ... -
A multi-channel distributed routing scheme for smart grid real-time critical event monitoring applications in the perspective of Industry 4.0
Faheem, Muhammad; Butt, Rizwan Aslam; Raza, Basit; Ashraf, Muhammad Waqar; Ngadi, Md A.); Gungor, Vehbi Cagri (INDERSCIENCE ENTERPRISES LTD, WORLD TRADE CENTER BLDG, 29 ROUTE DE PRE-BOIS, CASE POSTALE 856, CH-1215 GENEVA, SWITZERLAND, 2019)Recently, the 4th industrial revolution known as Industry 4.0 has paved way for a systematical deployment of the modernised power grid to fulfil the continuously growing energy demand of the 21st century. This paper proposes ... -
Networking and communications for smart cities special issue editorial
Theoleyre, Fabrice; Watteyne, Thomas; Bianchi, Giuseppe; Tuna, Gurkan; Gungor, Vehbi Cagri; Pang, Ai-Chun (ELSEVIER, 2015)Our society is facing an unprecedented massive urbanization. At the time of writing, 54% of the world’s population lives in urban areas (with an 82% peak in North America), opposed to only 30% in 1950. Reports [1] predict ... -
Next Generation Networks for Telecommunications Operators Providing Services to Transnational Smart Grid Operators
Tuna, Gurkan; Kiokes, George C.; Zountouridou, Erietta I.; Gungor, Vehbi Cagri (IEEE, 2015)Due to the networking expertise, services and technical support of telecommunications operators, Smart Grid (SG) operators prefer telecommunications operators for their communications needs instead of creating private ... -
A novel data collection mechanism for smart grids using public transportation buses
Bilgin, B. E.; Baktir, S.; Gungor, V. C. (ELSEVIERRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, 2016)In this study, we propose a novel solution for collecting smart meter data by merging Vehicular Ad-Hoc Networks (VANET) and smart grid communication technologies. In our proposed mechanism, Vehicular Ad Hoc Networks are ... -
A Novel Feature Design and Stacking Approach for Non-Technical Electricity Loss Detection
Aydin, Zafer; Gungor, Vehbi Cagri (Institute of Electrical and Electronics Engineers Inc., 2018)Non-technical electricity losses continue to jeopardize economic and social well-being of many countries. In this work, we develop machine learning classifiers that can identify anomalous electricity consumption in Turkey. ... -
OFFER : Referees Suggester for the Journal Editors
Coskun, Mustafa; Hacilar, Hilal; Gezer, Cengiz; Gungor, Vehbi Cagri (IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2019)Assigning appropriate referees to a journal or conference paper is a vital task for many reasons, including enhancing the journal venue quality and reliance, fair judgement of the papers, and among many others. While ... -
On the interdependency between multi-channel scheduling and tree-based routing for WSNs in smart grid environments
Yigit, Melike; Incel, Ozlem Durmaz; Gungor, Vehbi Cagri (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, ... -
On the Lifetime of Compressive Sensing Based Energy Harvesting in Underwater Sensor Networks
Erdem, Huseyin Emre; Yildiz, Huseyin Ugur; Gungor, Vehbi Cagri (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA, 2019)Recently, there has been a growing interest in academia and industry on the development of underwater acoustic sensor networks (UASNs) for scientific, commercial, and military purposes. Severe underwater channel conditions ... -
On the performance of LTE downlink scheduling algorithms: A case study on edge throughput
Deniz, Coskun; Uyan, O. Gokhan; Gungor, Vehbi Cagri (ELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, 2018)Radio resource allocation is a crucial task in the LTE networks. To increase the overall user experience, an efficient radio resource allocation algorithm should be utilized. In this work, a new scheduling algorithm has ... -
On the performance of LTE downlink scheduling algorithms: A case study onedge throughput
Deniz, Coşkun; Uyan, O.Gokhan; Gungor, Vehbi Cagri (Elsevier, 2018)Radio resource allocation is a crucial task in the LTE networks. To increase the overall user experience, anefficient radio resource allocation algorithm should be utilized. In this work, a new scheduling algorithm hasbeen ... -
Packet Size Optimization for Lifetime Maximization in Underwater Acoustic Sensor Networks
Yildiz, Huseyin Ugur; Gungor, Vehbi Cagri; Tavli, Bulent (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA, 2019)Recently, underwater acoustic sensor networks (UASNs) have been proposed to explore underwater environments for scientific, commercial, and military purposes. However, long propagation delays, high transmission losses, ...