Bilgisayar Mühendisliği Bölümü koleksiyonu
Recent Submissions
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Analyzing customer churn: A comparative study of machine learning models on Pay-TV subscribers in Turkey
(IEEE, 2023)Understanding the reasons for customer churn provides added value in terms of retaining existing customers, as customer attrition leads to revenue loss for companies and incurs marketing costs for acquiring new customers. ... -
Optimizing collective building management through a machine learning-based decision support system
(IEEE, 2023)This study presents the design, implementation, and evaluation of a Decision Support System (DSS) developed for Collective Building Management. Given the potential advantages of machine learning techniques in this domain, ... -
Understanding the psychological and financial correlates for consumer credit use
(Sosyoekonomi, 2024)This study investigated the behavioural and cognitive predictors of consumer credit usage to develop a behavioural credit risk assessment procedure for a factoring company. Participants completed surveys measuring personality ... -
Fault detection model using measurement data in fiber optic internet lines
(IEEE, 2023)In this study, a model has been developed to predict potential faults in advance based on performance metrics of various fiber-optic internet lines, as well as alarm (fault data) and performance measurement values from the ... -
GRAFRAUD: Fraud detection using graph databases and neural networks
(IEEE, 2023)The issue of fraud has become a significant concern for many companies, particularly in the finance sector, but the traditional methods of detecting fraud are no longer adequate. Innovative technologies are necessary to ... -
Unlocking the neural mechanisms of consumer loan evaluations: An fNIRS and mlbased consumer neuroscience study
(2023)This study conducted a comprehensive exploration of the neurocognitive processes underlying consumer credit decision-making using cutting-edge techniques from neuroscience and artificial intelligence (AI). Employing ... -
Analytical approaches in customer relationship management
(IEEE, 2023)This study examines the impact of analytical customer relationship management (aCRM) strategies, specifically the segmentation approach using RFM analysis and artificial learning methods, on customer satisfaction, revenue ... -
Performing DISC Personal inventory analysis in job postings using artificial intelligence methods
(Data science and applications, 2023)One of the application fields of DISC selfevaluation analysis was introduced to predict people's performance and orientation in their working life. Each letter in the word DISC represents an essential personal characteristic, ... -
Unraveling neural pathways of political engagement: bridging neuromarketing and political science for understanding voter behavior and political leader perception
(2023)Political neuromarketing is an interdisciplinary field that combines marketing, neuroscience, and psychology to understand voter behavior and political leader perception. This interdisciplinary field offers novel techniques ... -
Ön eğitimli dil modelleriyle duygu analizi
(İstanbul Sabahattin Zaim Üniversitesi Fen Bilimleri Enstitüsü, 2023)Duygu analizi, çeşitli platformlarda bir konu hakkında düşünce, duygu ya da tutumu irdelemek, analiz etmek ve yorumlamak amacıyla kullanılan yöntemlerden biridir. Farklı konulardaki metinlerin öznel içeriklerine göre ... -
Artificial intelligence augmented iterative product decoding
(2023)A method for product decoding within a data storage system includes receiving data to be decoded within a first decoder; performing a plurality of decoding iterations to decode the data utilizing a first decoder and a ... -
Joint multi-nanopore sequencing for reliable data retrieval in nucleic acid storage
(2023)A nucleic acid storage system (100) that uses nanopore sequencing to read data values chemically embedded in oligonucleotides includes a membrane (102), a voltage source (108), and a nucleic acid strand (110). The membrane ... -
Enhancing quality control in plastic injection production: deep learning-based detection and classification of defects
(IEEE, 2023)This study investigates the applicability of diverse deep learning techniques in detecting and classifying defects within plastic injection manufacturing processes. The findings derived from the models yield several feasible ... -
Spine posture detection for office workers with hybrid machine learning
(IEEE, 2023)This study aims to detect bad spine posture using an al-ternative approach that doesn't rely on deep learning or excessive energy. The goal is to improve accuracy and effectiveness without disrupting workflow. A custom ... -
Development of a knowledge-based multimodal deep learning system for automatic breast lesion segmentation and diagnosis in MG/DMR images
(IEEE, 2023)Deep learning networks (DLNs) rely on labeled training datasets as their fundamental building blocks. While various databases exist worldwide, there is currently no domestic solution available in our country. This project ... -
Minimum repair bandwidth LDPC codes for distributed storage systems
(IEEE, 2023)In distributed storage systems (DSS), an optimal code design must meet the requirements of efficient local data regeneration in addition to reliable data retention. Recently, lowdensity parity-check (LDPC) codes have been ... -
What is the effective resolution of the retinal image of a distant face?
(Vision Sciences Society Annual Meeting Abstract, 2023)We consider the following question: What is the effective resolution of a face image projected on the retina, when the face is at a specified distance from the eye? Though simple to state, this is a surprisingly challenging ... -
Comparing humans and deep neural networks on face recognition under various distance and rotation viewing conditions
(Journal of Vision, 2023)Humans possess impressive skills for recognizing faces even when the viewing conditions are challenging, such as long ranges, non-frontal regard, variable lighting, and atmospheric turbulence. We sought to characterize the ... -
An exploratory study on the effect of contour types on decision making via optic brain imaging method (fNIRS)
(eScholarship, 2023)Decision-making is a combination of our positive anticipations from the future with the contribution of our past experiences, emotions, and what we perceive at the moment. Therefore, the cues perceived from the environment ... -
Differential effect of young adults and students metacognitive skills in mathematics problem solving process
(eScholarship, 2023)The purpose of this study is to examine how young adults and pupils use their metacognitive abilities such as cognitive strategies and self-checking during the mathematics problem-solving process. The study group consisted ...
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