• Home
  • About
  • Policies
  • Contact
    • Türkçe
    • English
  • English 
    • Türkçe
    • English
  • Login
Advanced Search
Search 
  •   Home
  • Mühendislik Fakültesi / Faculty of Engineering
  • Bilgisayar Mühendisliği / Computer Engineering
  • Search
  •   Home
  • Mühendislik Fakültesi / Faculty of Engineering
  • Bilgisayar Mühendisliği / Computer Engineering
  • Search
JavaScript is disabled for your browser. Some features of this site may not work without it.

Search

Show Advanced FiltersHide Advanced Filters

Filters

Use filters to refine the search results.

Now showing items 1-10 of 13

  • Sort Options:
  • Relevance
  • Title Asc
  • Title Desc
  • Issue Date Asc
  • Issue Date Desc
  • Results Per Page:
  • 5
  • 10
  • 20
  • 40
  • 60
  • 80
  • 100
Thumbnail

Benchmarking of Regression Algorithms and Time Series Analysis Techniques for Sales Forecasting 

Akbulut, Akhan (2019-01)
— Predicting the sales amount as close as to the actual sales amount can provide many benefits to companies. Since the fashion industry is not easily predictable, it is not straightforward to make an accurate prediction ...
Thumbnail

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 ...
Thumbnail

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 ...
Thumbnail

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 ...
Thumbnail

Bimodal affect recognition based on autoregressive hidden Markov models from physiological signals 

Patlar Akbulut, Fatma; Perros, H.G; Shahzad, M. (2020-10)
Background and objective: Affect provides contextual information about the emotional state of a person as he/she communicates in both verbal and/or non-verbal forms. While human's are great at determining the emotional ...
Thumbnail

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, ...
Thumbnail

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 ...
Thumbnail

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 ...
Thumbnail

A tree learning approach to web document sectional hierarchy extraction 

Pembe, F.Canan; Göngör, Tunga (2010)
There is an increasing availability of documents in electronic form due to the widespread use of the Internet. Hypertext Markup Language (HTML) which is mostly concerned with the presentation of documents is still the most ...
Thumbnail

Performance tuning for machine learning-based software development effort prediction models 

Ertuğrul, Egemen; Baytar, Zakir; Çatal, Çağatay; Muratlı, Can (2019)
Software development effort estimation is a critical activity of the project management process. In this study, machine learning algorithms were investigated in conjunction with feature transformation, feature selection, ...
  • 1
  • 2

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

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsTypeLanguageBy PublisherRightsPubmedScopusWoSThis CommunityBy Issue DateAuthorsTitlesSubjectsTypeLanguageBy PublisherRightsPubmedScopusWoS

My Account

Login

Discover

AuthorBaytar, Zakir (2)Günay, Melike (2)Çatal, Çağatay (2)Şahingöz, Özgür Koray (2)Adalı, Eşref (1)Akbulut, Akhan (1)Akbulut, Akhan (1)Akpolat, Kadir Metin (1)Alemdaroğlu, Meltem (1)Aşıroğlu, Batuhan (1)... View MoreSubject
Machine Learning (13)
Makine Öğrenme (6)Artificial Neural Networks (2)Affect Recognition (1)Autoregressive Hidden Markov Models (1)Belge Yapısı (1)Big Cleaning (1)Bilgi İşlem Metodolojileri (1)Biosignals (1)Classification Algorithms (1)... View MoreDate Issued2019 (4)2017 (3)2012 (2)2018 (2)2010 (1)2020 (1)Has File(s)No (10)Yes (3)

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