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Metaheuristic approaches for solving multiobjective optimization problems
(Elsevier, 2023)Multiobjective optimization problems (MOOPs) require optimizing two or more, often conflicting objectives. The wide application of MOOPs has attracted the attention of researchers in academics and industry; therefore, a ... -
Evolving Lightweight Intrusion Detection Systems for RPL-Based Internet of Things
(Springer Science and Business Media Deutschland GmbH, 2023)With the integration of efficient computation and communication technologies into sensory devices, the Internet of Things (IoT) applications have increased tremendously in recent decades. While these applications provide ... -
Classification of Parkinson’s disease with dementia using phase locking factor of event-related oscillations to visual and auditory stimuli
(Institute of Physics, 2023)Objective. In the last decades, machine learning approaches have been widely used to distinguish Parkinson’s disease (PD) and many other neuropsychiatric diseases. They also speed up the clinicians and facilitate decision-making ... -
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 ... -
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 ... -
Machine Learning Approach and Model Performance Evaluation for Tele-Marketing Success Classification
(IGI GLOBAL, 2022)Up to the present, various methods such as data mining, machine learning, and artificial intelligence have been used to get the best assessment from huge and important data resources. Deep learning, one of these methods, ... -
Analysis of RPL Objective Functions with Security Perspective
(SCITEPRESS, 2021)The IPv6 Routing Protocol for Low Power Lossy Networks (RPL) is one of the standardized routing protocols for lossy networks consisting of resource-constrained Internet of Things (IoT) devices. RPL allows to use different ... -
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 ... -
Does transcranial direct current stimulation enhance cognitive performance in Parkinson's disease mild cognitive impairment? An event-related potentials and neuropsychological assessment study
(SPRINGER-VERLAG ITALIA SRL, 2022)Background Parkinson's disease-mild cognitive impairment (PD-MCI) is garnering attention as a key interventional period for cognitive impairment. Currently, there are no approved treatments for PD-MCI and encouraging results ... -
A BIBLIOMETRIC ANALYSIS OF THE RELATIONSHIP BETWEEN DIABETES AND ARTIFICIAL INTELLIGENCE
(STANBUL UNIV, 2022)Objective: The applications of artificial intelligence in the field of medicine are progressing at a remarkable speed. Within the scope of this study, it is aimed to make a detailed examination of the studies published on ... -
A Transfer Learning Approach for Securing Resource-Constrained IoT Devices
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2021)In recent years, Internet of Things (IoT) security has attracted significant interest by researchers due to new characteristics of IoT such as heterogeneity of devices, resource constraints, and new types of attacks targeting ...
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