Bölüm "Fakülteler, Çorlu Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü" için listeleme
Toplam kayıt 113, listelenen: 61-80
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A model for predicting drying time period of wool yarn bobbins using computational intelligence techniques
(Sage Publications Ltd, 2015)In this study, a predictive model has been developed using computational intelligence techniques for the prediction of drying time in the wool yarn bobbin drying process. The bobbin drying process is influenced by various ... -
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 ... -
Modeling short-term and long-term dependencies of the speech signal for paralinguistic emotion classification
(St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, 2019)Recently, Speech Emotion Recognition (SER) has become an important research topic of affective computing. It is a difficult problem, where some of the greatest challenges lie in the feature selection and representation ... -
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 approach for determining SARS-CoV-2 epitopes using machine learning-based in silico methods
(Elsevier Ltd, 2022)The emergence of machine learning-based in silico tools has enabled rapid and high-quality predictions in the biomedical field. In the COVID-19 pandemic, machine learning methods have been used in many topics such as ... -
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 heuristic approach for treating missing value: ABCIMP
(Kauno Technologijos Universitetas, 2019)Missing values in datasets present an important problem for traditional and modern statistical methods. Many statistical methods have been developed to analyze the complete datasets. However, most of the real world datasets ... -
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 Approach to Heart Attack Prediction Improvement Via Extreme Learning Machines Classifier Integrated with Data Resampling Strategy
(2020)The heart attack is a disorder that is frequently seen in low-income countries and causes the death of many people. Cardiologists benefit from electrocardiography (ECG) tests to determine this condition. Supervised ... -
A novel ensemble fuzzy classification model in SARS-CoV-2 B-cell epitope identification for development of protein-based vaccine
(Elsevier Ltd, 2022)B-cell epitope prediction research has received growing interest since the development of the first method. B-cell epitope identification with the aid of an accurate prediction method is one of the most important steps in ... -
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 algebraic expression of the AES S-box like S-boxes
(2010)In the literature, there are several proposed block ciphers like AES, Square, Shark and Hierocrypt which use S-boxes that are based on inversion mapping over a finite field. Because of the simple algebraic structure of ... -
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 ...