Bölüm "Fakülteler, Çorlu Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü" WoS İndeksli Yayınlar Koleksiyonu için listeleme
Toplam kayıt 71, listelenen: 41-60
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Modeling of atmospheric particulate matters via artificial intelligence methods
(Springer, 2021)Nowadays, pollutants continue to be released into the atmosphere in increasing amounts with each passing day. Some of them may turn into more harmful forms by accumulating in different layers of the atmosphere at different ... -
Movie Emotion Estimation with Multimodal Fusion and Synthetic Data Generation
(IEEE, 2019)In this work, we propose a method for automatic emotion recognition from movie clips. This problem has applications in indexing and retrieval of large movie and video collections, summarization of visual content, selection ... -
Multi-modal Score Fusion and Decision Trees for Explainable Automatic Job Candidate Screening from Video CVs
(IEEE, 2017)We describe an end-to-end system for explainable automatic job candidate screening from video CVs. In this application, audio, face and scene features are first computed from an input video CV, using rich feature sets. ... -
Multimodal Fusion of Audio, Scene, and Face Features for First Impression Estimation
(IEEE Computer Soc, 2016)Affective computing, particularly emotion and personality trait recognition, is of increasing interest in many research disciplines. The interplay of emotion and personality shows itself in the first impression left on ... -
A new approach for computer-aided detection of coronavirus (COVID-19) from CT and X-ray images using machine learning methods
(Elsevier Ltd, 2021)The COVID-19 outbreak has been causing a global health crisis since December 2019. Due to this virus declared by the World Health Organization as a pandemic, the health authorities of the countries are constantly trying ... -
A new computer-based approach for fully automated segmentation of knee meniscus from magnetic resonance images
(Elsevier, 2017)Menisci are tissues that enable mobility and absorb excess loads on the knee. Problems in meniscus can trigger the disorder of osteoarthritis (OA). OA is one of the most common causes of disability, especially among young ... -
A new method to determine algebraic expression of power mapping based S-boxes
(Elsevier Science Bv, 2013)Power mapping based S-boxes, especially those with finite field inversion, have received significant attention by cryptographers. S-boxes designed by finite field inversion provide good cryptographic properties and are ... -
A new word-based compression model allowing compressed pattern matching
(Tubitak Scientific & Technical Research Council Turkey, 2017)In this study a new semistatic data compression model that has a fast coding process and that allows compressed pattern matching is introduced. The name of the proposed model is chosen as tagged word-based compression ... -
A novel algorithm for extracting the user reviews from web pages
(Sage Publications Ltd, 2017)Extracting the user reviews in websites such as forums, blogs, newspapers, commerce, trips, etc. is crucial for text processing applications (e.g. sentiment analysis, trend detection/monitoring and recommendation systems) ... -
A Novel Web Scraping Approach Using the Additional Information Obtained from Web Pages
(Institute of Electrical and Electronics Engineers Inc., 2020)Web scraping is a process of extracting valuable and interesting text information from web pages. Most of the current studies targeting this task are mostly about automated web data extraction. In the extraction process, ... -
Oak Leaf Classification: An Analysis of Features and Classifiers
(IEEE, 2019)Automatic classification of trees from leaves is a popular computer vision/machine learning task and has important applications in monitoring of forest wealth. While the final aim is preparing an application, which is ... -
Object-Based FlowChart Drawing Library
(IEEE, 2017)While flow charts are one of the best ways to describe a computer program, drawing process is a laborious task for developers. This study describes an open source Javascript library named obfc.js, which we have developed ... -
On the Construction of 20 x 20 and 24 x 24 Binary Matrices with Good Implementation Properties for Lightweight Block Ciphers and Hash Functions
(Hindawi Ltd, 2014)We present an algebraic construction based on state transform matrix (companion matrix) for n x n (where n + 2(k), k being a positive integer) binary matrices with high branch number and low number of fixed points. We also ... -
Oxidative stress in neonatal lambs and its relation to health status and passive colostral immunity
(Elsevier, 2022)Oxidative stress (OS) related to birth in ruminants may increase susceptibility to diseases. However, information about the physiological changes related to OS in lambs is limited. This study was designed to evaluate changes ... -
Performance Comparison of Machine Learning Models for Diabetes Prediction
(IEEE, 2021)Diabetes is a chronic disease that causes blood sugar to rise. This chronic disease can be cause mortality. There are different diagnoses and treatment methods for diabetes in the medical field. In addition, with the ... -
Performance Evaluation of Classification Methods in Layout Prediction of Web Pages
(IEEE, 2018)The Web is an invaluable source of data stored on web pages. These data are contained in HTML layout elements of a web page. It is a crucial issue to extract data automatically from a web page. In this study, a dataset, ... -
Portfolio Optimization via a Surrogate Risk Measure: Conditional Desirability Value at Risk (CDVaR)
(Springer International Publishing Ag, 2019)A risk measure that specifies minimum capital requirements is the amount of cash that must be added to a portfolio to make its risk acceptable to regulators. The 2008 financial crisis highlighted the demise of the most ... -
Predicting CO and NOx emissions from gas turbines: novel data and a benchmark PEMS
(Tubitak Scientific & Technical Research Council Turkey, 2019)Predictive emission monitoring systems (PEMS) are important tools for validation and backing up of costly continuous emission monitoring systems used in gas-turbine-based power plants. Their implementation relies on the ... -
Predicting the Direction of Movement for Stock Price Index Using Machine Learning Methods
(Springer-Verlag Berlin, 2016)Stock price prediction with high accuracy may offer significant opportunities for the investors who make decisions on making profit or having high gains over the stocks in stock markets. The aim of this study is to predict ...