Adnan Yazıcı

E-mail

yazici@metu.edu.tr

Department

Department of Computer Engineering

ORCID

0000-0001-9404-9494

Scopus Author ID

57201949499

Multimodal multimedia information retrieval through the integration of fuzzy clustering, OWA-based fusion, and Siamese neural networks Sattari, SİNAN; Kalkan, Sinan; Yazıcı, Adnan (2025-09-01) This paper presents an end-to-end, scalable, and flexible framework for multimodal multimedia information retrieval (MMIR). This framework is designed to handle multiple data modalities, such as visual, audio, and text, fr...
An altitude-aware fuzzy approach for energy efficiency in UAV-assisted 3D Wireless Sensor Networks Sert, Seyyit Alper; Yazıcı, Adnan (2024-12-01) In Wireless Sensor Networks (WSNs) that use multi-hop topologies, issues like energy holes and hotspots have become prominent. To address these, recent research has proposed using mobile sinks with abundant resources. Thes...
BF-BigGraph: An efficient subgraph isomorphism approach using machine learning for big graph databases Yazıcı, Adnan; Taşkomaz, Ezgi (2024-09-01) Graph databases are flexible NoSQL databases used to efficiently store and query complex and big data. One of the most difficult problems in graph databases is the problem of subgraph isomorphism, which involves finding a ...
Semantic deep learning and adaptive clustering for handling multimodal multimedia information retrieval Sattari, Saeid; Yazıcı, Adnan (2024-01-01) Multimedia data encompasses various modalities, including audio, visual, and text, necessitating the development of robust retrieval methods capable of harnessing these modalities to extract and retrieve semantic informati...
Hybrid deep learning models with data fusion approach for electricity load forecasting Özen, Serkan; Yazıcı, Adnan; Atalay, Mehmet Volkan (2024-01-01) This study explores the application of deep learning in forecasting electricity consumption. Initially, we assess the performance of standard neural networks, such as convolutional neural networks (CNN) and long short-term...
From Data to Insights: Using Fuzzy Logic in Spatial Data Summarization with Fuzzy Spatial OLAP Keskin, Sinan; Yazıcı, Adnan (2024-01-01) The effectiveness of data knowledge acquisition is closely linked to the aggregation process, particularly in data warehouses where extensive data sets reside. Our study enhances the fuzzy spatial online analytical process...
A smart e-health framework for monitoring the health of the elderly and disabled Yazıcı, Adnan; Zhumabekova, Dana; Nurakhmetova, Aidana; Yergaliyev, Zhanggir; Yatbaz, Hakan Yekta; Makisheva, Zaida; Lewis, Michael; EVER, ENVER (2023-12-01) The healthcare sector is experiencing a significant transformation due to the widespread adoption of IoT-based systems, especially in the care of elderly and disabled individuals who can now be monitored through portable a...
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,...

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