Konu "Machine Learning" için listeleme
Toplam kayıt 17, listelenen: 1-17
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A collective learning approach for semi-supervised data classification
(Pamukkale Univ, 2018)Semi-supervised data classification is one of significant field of study in machine learning and data mining since it deals with datasets which consists both a few labeled and many unlabeled data. The researchers have ... -
A comparison between the Bayesian network model and the logistic regression model in prevention of the defects on ceramic tiles
(Taylor and Francis Ltd., 2022)One of the most important problems encountered in ceramic tile industry is defective product problem. Defective ceramics lead to loss of income and waste of resources in enterprises. However, it is generally unknown that ... -
Detecting Citizen Problems and Their Locations Using Twitter Data
(Ieee, 2018)Twitter is a social network, which contains information of the city events (concerts, festival, etc.), city problems (traffic, collision, and road incident), the news, feelings of people, etc. For these reasons, there are ... -
Determination of Factors Affecting Hazelnut Farmers' Agricultural Insurance by Data Mining Algorithms
(KASTAMONU UNIV, 2021)Agriculture is an open factory. With this characteristic of it, it faces many risks and uncertainties at any time. Farms are faced with natural, social and economical risks during the agricultural production period. Risk ... -
An efficient sleep scoring system based on EEG signal using complex-valued machine learning algorithms
(Elsevier, 2016)Sleep staging is a significant step in the diagnosis and treatment of sleep disorders. Sleep scoring is a time-consuming and difficult process. Given that sleep scoring requires expert knowledge, it is generally undertaken ... -
EGE BÖLGESİ İÇİN DİNAMİK MOD AYRIŞTIRMASI İLE KURAKLIK ANALİZİ
(Kerim ÇETİNKAYA, 2022)Küresel ısınma ve diğer insani faktörlerle dünya coğrafyasını tehdit eden en önemli afetlerden biri de kuraklıktır. Kuraklık, suda yaşayan canlılardan başlayarak tüm dünya üzerindeki canlı ekosistemini doğrudan/dolaylı ... -
Exploration of Potential miRNA Biomarkers and Prediction for Ovarian Cancer Using Artificial Intelligence
(MedGen, 2021)Ovarian cancer is the second most dangerous gynecologic cancer with a high mortality rate. The classification of gene expression data from high-dimensional and small-sample gene expression data is a challenging task. The ... -
A hybrid feature-selection approach for finding the digital evidence of web application attacks
(Tubitak Scientific & Technical Research Council Turkey, 2019)The most critical challenge of web attack forensic investigations is the sheer amount of data and level of complexity. Machine learning technology might be an efficient solution for web attack analysis and investigation. ... -
Image Classification using Manifold Learning Based Non-Linear Dimensionality Reduction
(Ieee, 2018)This paper presents fast categorization or classification of images on an animal dataset using different classification algorithm in combination with manifold learning algorithms. The paper will focus on comparing the ... -
In Silico Validation of ncRNA-ncRNA Interaction Sites with ncRNAs represented by k-mers features
(SciTePress, 2019)A recent catalogue of human transcriptome, namely CHESS database, assembled from RNA sequencing experiments as a part of the Genotype-Tissue Expression (GTEx) Project reported more non-coding RNA genes (21,856) than ... -
AN INTELLIGENT POSTOPERATIVE CHRONIC PAIN PREDICTION SYSTEM (I-POCPP)
(ISTANBUL UNIV, 2022)Objective: Postoperative Chronic Pain (POCP) affects the quality of patients' lives. Machine learning and its applications provide significant contributions to pain research. The aim of this study is to predict the POCP ... -
Measuring The Robustness of AI Models Against Adversarial Attacks: Thyroid Ultrasound Images Case Study
(2022)The healthcare industry is looking for ways on using artificial intelligence effectively. Decision support systems use AI (Artificial Intelligence) models that diagnose cancer from radiology images. These models in such ... -
Multi-Criteria Decision-Making-Based Model Selection Proposal in Artificial Learning Process
(WORLD SCIENTIFIC PUBL CO PTE LTD, 2022)In this study, selection of the best classification model in the artificial learning process is considered as a Multi-Criteria Decision-Making problem. In this direction, machine learning- based 10 classification models ... -
A novel model-based technique to improve design processes for microstrip antennas
(Elsevier GmbH, 2023)The present work aims to prove the concept of a novel approach to designing microstrip antennas with desired radiation patterns without time-consuming trials and simulations. While it is pretty straightforward to design a ... -
Real-Time Object Detection Application for Visually Impaired People: Third Eye
(Ieee, 2018)Visually impaired people can't move safely outdoors because they can not perceive the outside obstacles as normal people. The prototype application in this study aims to make the visually impaired people's lives easier ... -
Stress Detection via Keyboard Typing Behaviors by Using Smartphone Sensors and Machine Learning Techniques
(Springer, 2020)Stress is one of the biggest problems in modern society. It may not be possible for people to perceive if they are under high stress or not. It is important to detect stress early and unobtrusively. In this context, stress ... -
USE OF FACIAL EMOTION RECOGNITION IN E-LEARNING SYSTEMS
(Natl Acad Pedagogical Sciences Ukraine, Inst Info Technol & Learning Tools, 2017)Since the personal computer usage and internet bandwidth are increasing, e-learning systems are also widely spreading. Although e-learning has some advantages in terms of information accessibility, time and place flexibility ...