Otomatik Hedef Sınıflandırma Sistemleri İçin Çok Kriterli Hedef Sınıflandırma

Date

2019-06-12

Author

Atıcı, Bengü
Karasakal, Esra
Karasakal, Orhan

Metadata

Show full item record

Item Usage Stats

108
views

0
downloads

URI

https://hdl.handle.net/11511/71011

Conference Name

39. Ulusal Yöneylem Araştırması ve Endüstri Mühendisliği Konferansı (2019)

Collections

Unverified, Conference / Seminar

Suggestions

OpenMETU
Core

Otomatik Üretim Hatları Yıldırım, Ender (Nobel Yayın Dağıtım, 2016-09-01)
Semi-automated image labeling framework for honeybee (apis mellifera) detection and tracking in automated bee hive applications Has, Alper Emre; Alemdar, Hande; Department of Computer Engineering (2023-1-24) Beekeeping is a valuable field for both scientific research and agriculture. While bee keepers have traditionally relied on close observation, often with the help of vets, this method can provide limited empirical results. The high cost of monitoring tools presents a challenge in the beekeeping industry. To address this challenge, we im plement an animal detecting and tracking algorithm as part of a framework that uti lizes low-cost cameras and low-power computational equipment. This leads to the developmen...
Automatic license plate recognition system location selection Gör, Buğra; Karakaya, Gülşah; Department of Business Administration (2018) With the help of advancements on sensor and data transfer technologies, the usage area of Automatic License Plate Recognition (ALPR) Systems has been enlarged. Both public and private sectors implement ALPR applications for their respective needs. Public safety ALPR applications aim to monitor and control traffic data at both individual and collective levels. For this reason, to build an efficient sensor network number and location of ALPR systems should be determined optimally. This study focuses on determ...
Semantic search on Turkish news domain with automatic query expansion Demir, Tuğba; Çiçekli, Fehime Nihan; Department of Computer Engineering (2016) In this thesis, semantic search on Turkish news domain with query expansion is proposed. Our aim is to provide the user with the most relevant documents related to their entered keywords. Our system uses data sources from Turkish news websites such as Hürriyet, Milliyet, Sabah, etc. Our system extends the user’s query with word embeddings and semantic relatedness. Furthermore, named entities, containing precious information, are extracted from news sources and user query and ranked to return on top of the r...
Otomatik Montaj Sistemleri Yıldırım, Ender (2016-09-01)

Citation Formats

B. Atıcı, E. Karasakal, and O. Karasakal, “Otomatik Hedef Sınıflandırma Sistemleri İçin Çok Kriterli Hedef Sınıflandırma,” Ankara, Türkiye, 2019, p. 69, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/71011.