Adnan Yazıcı

Department of Computer Engineering
Scopus Author ID
An Effective Forest Fire Detection Framework Using Heterogeneous Wireless Multimedia Sensor Networks
Kizilkaya, Burak; Ever, Enver; Yatbaz, Hakan Yekta; Yazıcı, Adnan (2022-05-01)
With improvements in the area of Internet of Things (IoT), surveillance systems have recently become more accessible. At the same time, optimizing the energy requirements of smart sensors, especially for data transmission,...
Hand-crafted versus learned representations for audio event detection
Kucukbay, Selver Ezgi; Yazıcı, Adnan; Kalkan, Sinan (2022-04-01)
Audio Event Detection (AED) pertains to identifying the types of events in audio signals. AED is essential for applications requiring decisions based on audio signals, which can be critical, for example, for health, survei...
HyGraph: a subgraph isomorphism algorithm for efficiently querying big graph databases
Asiler, Merve; Yazıcı, Adnan; George, Roy (2022-04-01)
The big graph database provides strong modeling capabilities and efficient querying for complex applications. Subgraph isomorphism which finds exact matches of a query graph in the database efficiently, is a challenging pr...
Modeling and Querying Fuzzy SOLAP-Based Framework
Keskin, Sinan; Yazıcı, Adnan (2022-03-01)
Nowadays, with the rise of sensor technology, the amount of spatial and temporal data is increasing day by day. Modeling data in a structured way and performing effective and efficient complex queries has become more essen...
Increasing energy efficiency of rule-based fuzzy clustering algorithms using CLONALG-M for wireless sensor networks
Sert, Seyyit Alper; Yazıcı, Adnan (2021-09-01)
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 counterparts when the bou...
Management of Complex and Fuzzy Queries Using a Fuzzy SOLAP-Based Framework
Keskin, Sinan; Yazıcı, Adnan (2021-01-01)
With the use of data warehouses, the need for faster access and analysis to historical and multidimensional data has arisen. Online analytical processing (OLAP), developed for this purpose, has provided suitable data struc...
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)
With the recent technological advancements in video sensors, digital signal processing units and digital radio interfaces, low-cost devices such as Wireless Multimedia Sensor Networks (WMSNs) became an important part of su...
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)
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 that are ...
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 ...
Citation Formats