Adnan Yazıcı

E-mail
yazici@metu.edu.tr
Department
Department of Computer Engineering
Scopus Author ID
Increasing energy efficiency of rule-based fuzzy clustering algorithms using CLONALG-M for wireless sensor networks
Sert, Seyyit Alper; Yazıcı, Adnan (2021-09-01)
© 2021 Elsevier B.V.Because of its efficiency, clustering is used for effective communication in Wireless Sensor Networks (WSNs). In the WSN clustering area, fuzzy approaches are found to be superior to crisp cluster count...
Effective Use of Low Power Heterogeneous Wireless Multimedia Sensor Networks for Surveillance Applications Using IEEE 802.15.4 Protocol
Kenges, Nurdaulet; Ever, Enver; Yazıcı, Adnan (2021-01-01)
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.With the recent technological advancements in video sensors, digital signal processing units and digital radio interfaces, low-cost devices s...
Activity Recognition and Anomaly Detection in E-Health Applications Using Color-Coded Representation and Lightweight CNN Architectures
Yatbaz, Hakan Yekta; Ever, Enver; Yazıcı, Adnan (2021-01-01)
IEEEE-Health is becoming a vital industry and human activity recognition (HAR) is one of the most popular research areas of its scope. Although there are various studies on HAR, most of them come up with complex models tha...
Energy-efficient and fault-tolerant drone-BS placement in heterogeneous wireless sensor networks
Deniz, Fatih; Bagci, Hakki; KÖRPEOĞLU, İBRAHİM; Yazıcı, Adnan (2020-11-01)
This paper introduces a distributed and energy-aware algorithm, called Minimum Drone Placement (MDP) algorithm, to determine the minimum number of base stations mounted on resource-rich Unmanned Aerial Vehicles (UAV-BS), c...
A new framework of multi-objective evolutionary algorithms for feature selection and multi-label classification of video data
Karagoz, Gizem Nur; Yazıcı, Adnan; Dokeroglu, Tansel; Coşar, Ahmet (2020-06-01)
There are few studies in the literature to address the multi-objective multi-label feature selection for the classification of video data using evolutionary algorithms. Selecting the most appropriate subset of features is ...
Performance evaluation of hybrid disaster recovery framework with D2D communications
Ever, Enver; Gemikonakli, Eser; Nguyen, Huan X.; Al-Turjman, Fadi; Yazıcı, Adnan (Elsevier BV, 2020-02-15)
Public Safety Networks (PSNs) provide assistance before- and post-disaster events. With the help of technological advances, PSNs are able to cope with both natural and man-made disasters, protecting people, environment and...
Comparison of predictive models for forecasting timeseries data
Özen, Serkan; Atalay, Mehmet Volkan; Yazıcı, Adnan (2019-11-20)
© 2019 Association for Computing Machinery.Dramatic increase in data size enabled researchers to study analysis and prediction of big data. Big data can be formed in many ways and one alternative is through the use of sens...
Comparative Study on Energy Efficiency of WSNs and WMSNs for Surveillance Applications
Kizilkaya, Burak; Ever, Enver; Yazıcı, Adnan (2019-01-01)
The infrastructure required to deliver various "Internet of Things" (IoT) services is expected to be widely available in the very near future for application areas such as Smart Cities, Smart Homes, Intelligent Transportat...
Multilevel Object Tracking in Wireless Multimedia Sensor Networks for Surveillance Applications Using Graph-Based Big Data
Kucukkececi, Cihan; Yazıcı, Adnan (Institute of Electrical and Electronics Engineers (IEEE), 2019-01-01)
Wireless Multimedia Sensor Networks (WMSN), for object tracking, have been used as an emerging technology in different application areas, such as health care, surveillance, and traffic control. In surveillance applications...
Fuzzy Semantic Web Architecture for Activity Detection in Wireless Multimedia Sensor Network Applications
Ozdin, Ali Nail; Yazıcı, Adnan; KOYUNCU, Murat (2019-01-01)
This study aims to increase the reliability of activity detection in Wireless Multimedia Sensor Networks (WMSNs) by using Semantic Web technologies extended with fuzzy logic. The proposed approach consists of three layers:...
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