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Machine Learning Based Phishing Detection from URIs 

Şahingöz, Özgür Koray; Buber, Ebubekir; Demir, Önder; Diri, Banu (2017-12)
Due to the rapid growth of the Internet, users change their preference from traditional shopping to the electronic commerce. Instead of bank/shop robbery, nowadays, criminals try to find their victims in the cyberspace ...
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Disease Prediction Using Weighted Artificial Immune System 

Günay, Melike; Orman, Zeynep (2019-07)
The Artificial Immune System (AIS) is a computational intelligence method inspired from the human immune system, which is applied to real-world problem solving related to classification, optimization and anomaly detection ...
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Development of a software vulnerability prediction web service based on artificial neural networks 

Çatal, Çağatay; Akbulut, Akhan ; Ekenoğlu, Ecem; Alemdaroğlu, Meltem (2017)
Detecting vulnerable components of a web application is an important activity to allocate verification resources effectively. Most of the studies proposed several vulnerability prediction models based on private and public ...
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Autonomous vehicle control for Lane and vehicle tracking by using deep learning via vision 

Olgun, Masum Celil; Baytar, Zakir; Akpolat, Kadir Metin; Şahingöz, Özgür Koray (2018)
Camera-based lane detection and vehicle tracking algorithms are one of the keystones for many autonomous systems. The navigational process of those systems is mainly focused on the output of detection algorithms. However, ...
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Building up lexical sample dataset for Turkish word sense disambiguation 

İlgen, Bahar; Adalı, Eşref; Tantuğ, Ahmet Cüneyd (2012-07-02)
Word Sense Disambiguation (WSD) has become even more important research area in recent years with the widespread usage of Natural Language Processing (NLP) applications. WSD task has two variants: “Lexical Sample” and “All ...
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Flower Classification with Deep CNN and Machine Learning Algorithms 

Mete, Büşra Rümeysa; Ensari, Tolga (2019-09-11)
Development of the recognition of rare plant species will be advantageous in the fields such as the pharmaceutical industry, botany, agricultural, and trade activities. It was also very challenging that there is diversity ...
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Digital Data Forgetting: A Machine Learning Approach 

Mete, Büşra Rümeysa; Günay, Melike; Aşıroğlu, Batuhan; Yıldız, Eyyüp; Zencirli, Ahmet; Ensari, Tolga; Nalçakan, Yağız (2018-10)
Digital transformation of the world goes very fast during last two decades. Today, data is power and very important. Firstly, magnetic tapes and then digital data storages have been used to collect all data. After this ...

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AuthorŞahingöz, Özgür Koray (2)Adalı, Eşref (1)Akbulut, Akhan (1)Akpolat, Kadir Metin (1)Alemdaroğlu, Meltem (1)Aşıroğlu, Batuhan (1)Baytar, Zakir (1)Buber, Ebubekir (1)Demir, Önder (1)Diri, Banu (1)... View MoreSubject
Machine Learning (7)
Makine Öğrenme (3)Artificial Neural Networks (1)Big Cleaning (1)Bilgi İşlem Metodolojileri (1)Classification Algorithms (1)CNN (1)Computing Methodologies (1)Controlling Autonomous Car (1)Cyber Attack Detection (1)... View MoreDate Issued2017 (2)2018 (2)2019 (2)2012 (1)Has File(s)No (7)

İstanbul Kültür University

Hakkında |Politika | Kütüphane | İletişim | Send Feedback | Admin

Istanbul Kültür University, Ataköy Campus E5 Karayolu Üzeri Bakırköy 34158, İstanbul / TURKEY
Copyright © İstanbul Kültür University

Creative Commons Lisansı
IKU Institutional Repository, Creative Commons Alıntı-GayriTicari-Türetilemez 4.0 Uluslararası Lisansı ile lisanslanmıştır.

Designed by  UNIREPOS