Adnan Yazıcı

E-mail

yazici@metu.edu.tr

Department

Department of Computer Engineering

ORCID

0000-0001-9404-9494

Scopus Author ID

57201949499

FSOLAP: A fuzzy logic-based spatial OLAP framework for effective predictive analytics Keskin, Sinan; Yazıcı, Adnan (2023-03-01) Nowadays, with the rise in sensor technology, the amount of spatial and temporal data increases day by day. Fast, effective, and accurate analysis and prediction of collected data have become more essential than ever. Spat...
Designing Efficient and Lightweight Deep Learning Models for Healthcare Analysis Baltabay, Mereke; Yazıcı, Adnan; Sterling, Mark; Ever, Enver (2023-01-01) The application of classification and prediction algorithms in healthcare can facilitate the detection of specific vital signs, which can be used to treat or prevent disease. In this study, a new framework based on deep le...
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,...
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...
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...
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 ...

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