Mongolia: social and economic issues

Along with the interest in general Turkish history, the interest in the history, language and culture of the Mongols has also increased; researchers who prefer this field as a field of specialization have increased. Especially in recent years, Turkish and Mongolian academics have carried out joint studies, workshops and conferences in the field of history, language and culture, and shared them with the scientific world. This historical interest in the Mongols and the geography of Mongolia has also triggered the interest in the contemporary life, social and economic situation of Mongolia. Izmir ...Daha fazlası

Şehir Kültür Medeniyet Çaka Bey'den Günümüze İzmir 2. cilt

Çevrimiçi (497-1044 Sayfa: resim, harita; 26 cm.).

Şehir Kültür Medeniyet Çaka Bey'den Günümüze İzmir 4. cilt

Çevrimiçi (1579-2090 Sayfa: resim, harita; 26 cm.).

Şehir Kültür Medeniyet Çaka Bey'den Günümüze İzmir 3. cilt

Çevrimiçi (1045-1578 Sayfa: resim, harita; 26 cm.).

4 th International Students Science Congress Proceedings Book

Çevrimiçi ( XIII, 495 Sayfa ; 26 cm.).

Medical Biology and Genetics Laboratory Book

TÜLAY KILIÇASLAN AYNA | MUSTAFA SOYÖZ | MELEK PEHLİVAN

80 Pages : İllustrations ; 26 cm.

Proceedings of 3. International Conference on Artificial Intelligence towards Industry 4.0 (ICAII4’2020)

Çevrimiçi ( XIV, 67 pages)

Abstract Book of 4. International Conference on Medical Devices (ICMD’2021)

Çevrimiçi (xviii, 39 sayfa)

2nd International Congress on Artificial Intelligence and Data Science Proceeding Book

Çevrimiçi (127 sayfa : şekil, tablo ; 26 cm.).

Tıbbi Biyoloji ve Genetik Laboratuvar Kılavuzu

İBRAHİM PİRİM | MELEK PEHLİVAN | TÜLAY KILIÇASLAN AYNA | MUSTAFA SOYÖZ

Çevrimiçi (70 sayfa: şekil; 26 cm.)

Fabric Defect Classification Using Combination of Deep Learning and Machine Learning

Fatma Günseli YAŞAR ÇIKLAÇANDIR

Automatic systems can be used in many areas, such as the production stage in factories, country defense, and traffic control. They provide the opportunity to reach results faster with higher success rates thanks to human-computer vision cooperation. In this study, it is aimed to develop an intelligent system that automatically detects and classifies defects in fabrics. Thanks to the developed system, the cause of the malfunction is eliminated, and the recurrence of the malfunction is prevented. Using deep learning methods in fabric defect classification studies has a disadvantage compared to o ...Daha fazlası

A Face Authentication System Using Landmark Detection

Velican ERCAN | M. Erdal ÖZBEK

Biometric data is the key for many security applications. Authentication relies on the individual’s measurable biometric properties collected as features. In this study, a face authentication system is built to be used in opening the entrance door accessing to the apartments and housing estates. The proposed system consists of three stages. In the first stage, landmarks on the face are captured using a deep neural network. Then six selected features from the landmarks are extracted and traditional machine learning algorithms are used to authenticate users. In the last stage, a user interface i ...Daha fazlası