Yayın tarihi için Veri Bilimi Uygulama ve Araştırma Merkezi (VEBİM) listeleme
Toplam kayıt 23, listelenen: 1-20
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A Deep Learning Multi-feature Based Fusion Model for Predicting The State of Health of Lithium-ion Batteries
(Elsevier, 2025)Lithium-ion batteries have become the preferred energy storage method with applications ranging from consumer electronics to electric vehicles. Utilization of the battery will eventually lead to degradation and capacity fade. ... -
Towards Better Sentiment Analysis in the Turkish Language: Dataset Improvements and Model Innovations
(MDPI, 2025)Sentiment analysis in the Turkish language has gained increasing attention due to the growing availability of Turkish textual data across various domains. However, existing datasets often suffer from limitations such as ... -
A Bioinspired Method for Optimal Task Scheduling in Fog-Cloud Environment
(Tech Science Press, 2025)Due to the intense data flow in expanding Internet ofThings (IoT) applications, a heavy processing cost and workload on the fog-cloud side become inevitable. One of the most critical challenges is optimal task scheduling. Since ... -
A Multi‑Objective Metaheuristic Method for Node Placement in Dynamic LoT Environments
(Springer, 2025)This study introduces an optimal Node Placement based on Enhanced Sand Cat Swarm Optimization (NP-ESCSO) algorithm, a novel metaheuristic approach for solving the node placement problem in dynamic IoT environments. By ... -
Unified Deep Learning Method for Accurate Brain Tumor Segmentation Using Vertical Voxel Grouping andWavelet Features
(Springer, 2025)Brain tumor segmentation plays a vital role in medical imaging, enabling accurate diagnosis and guiding treatment decisions. Despite notable progress driven by deep neural networks (DNNs) and multi-parametricmagnetic ... -
Metaheuristics Role in Image Processing and Computer Vision Applications: A Comprehensive Review
(Springer, 2025)Meta-Heuristic (MH) algorithms have gained prominence in computer vision and image processing due to their efficacy in solving complicated, high-dimensional optimization challenges. This review study thoroughly evaluates ... -
A Multi-Objective Deep Reinforcement Learning Algorithm for Spatio-temporal Latency Optimization in Mobile LoT-enabled Edge Computing Networks
(Elsevier, 2025)The rapid increase in Mobile Internet of Things (IoT) devices requires novel computational frameworks. These frameworks must meet strict latency and energy efficiency requirements in Edge and Mobile Edge Computing (MEC) ... -
A multi-Strategy Chimp Optimization Algorithm for Solving Global and Constraint Engineering Problems
(Springer, 2025)The chimp optimization algorithm (ChOA) is a recently introduced metaheuristic algorithm inspired by nature. This algorithm identified four types of chimpanzee groups: attacker, barrier, chaser, and driver, and proposed ... -
Examining the Effective Role of Artificial Intelligence in the Interconnected Crisis of Climate Change and Human Migration
(Elsevier, 2025)Introduction: Climate change is a key driver of human migration, particularly in regions facing resource scarcity and extreme weather events. Understanding migration patterns is essential for effective policy responses. ... -
Hybrid Whale and Artificial Rabbit Optimization for Efficient Multi‑Objective Sensor Deployment in Complex IoT Networks
(Springer Nature, 2025)This paper presents a novel hybrid metaheuristic algorithm, combining Whale Optimization Algorithm (WOA) and Artificial Rabbits Optimization (ARO), to solve the multi-objective sensor node placement problem in dynamic and ... -
Latency-Aware and Energy-Efficient Task Offloading in IoT and Cloud Systems with DQN Learning
(MDPI, 2025)The exponential proliferation of the Internet of Things (IoT) and optical IoT (O-IoT) has introduced substantial challenges concerning computational capacity and energy efficiency. IoT devices generate vast volumes of ... -
Advanced Machine Learning Techniques for Predicting Wear Performance in Graphene Oxide Particulate Interpenetrating Polymer Network Composites
(Elsevier, 2025)This research investigates the wear behavior of hybrid polymeric composites made from synthetic glass and natural cotton fibers, reinforced with varying proportions of Graphene Oxide (GO) (0 %, 1 %, 3 %, 5 %, 7 %, 9 %). ... -
Generating Software Architectural Model from Source Code Using Module Clustering
(MDPI, 2025)Software maintenance is one of the most expensive phases in software development, especially when complex source code is the only available artifact. Clustering software modules and generating a structured architectural ... -
Advances in Mountain Gazelle Optimizer: A Comprehensive Study on its Classification and Applications
(Springer, 2025)The Mountain Gazelle Optimizer (MGO) is a newly emerging nature-inspired metaheuristic algorithm based on mountain gazelles' regionally and adaptively directed behavior. It is intended to solve complex optimization problems ... -
A Novel Hybrid Metaheuristic Method for Efficient Decentralized LoT Network Layouts
(Elsevier, 2025)This paper introduces a Hybrid Genetic Particle Swarm Optimization (HGPSO) method focusing on optimal and efficient sensor deployment in Wireless Sensor Networks (WSNs) and Decentralized IoT (DIoT) networks. Effective ... -
A Novel Two-Stage Fuzzy Classification Method with Different Weight Permutations for Optimal Gis-Based Placement of Wellness and Sports Centers
(Elsevier, 2025)The optimal placement of wellness and sports centers is critical to maximizing their accessibility, effectiveness, and impact on public health. Strategic location planning ensures that these facilities are conveniently ... -
DSPCI-MTL: Dynamic Split Point Computing in Multi-task Learning Implementation with Collaborative Intelligence
(Elsevier, 2025)Deep Neural Networks (DNNs) have become a crucial technology in image processing, renowned for their ability to generate effective feature maps. The integration of DNNs within Internet of Things (IoT) environments, ... -
Machine Learning Approaches for Predicting Diesel engine Emissions Using Waste tire Pyrolysis Oil – Hydrotreated Vegetable Oil Blends
(Elsevier, 2025)This experimental study explores the use of blended Tire Pyrolysis Oil (TPO) with Hydrotreated Vegetable Oil (HVO) as potential substitutes for diesel fuel in compression ignition engines. The assessment of the investigation on ... -
Tree-Based Ensemble Regression Models for Emission Prediction of a Winter Green Oil-Hydrogen Dual-Fuel Engine with Zeolite After-Treatment
(Elsevier, 2025)This study presents an emission prediction framework for a dual-fuel compression-ignition engine operated on a 20 % winter green oil–diesel blend enriched with hydrogen and equipped with a zeolite-based after-treatment system. ... -
Analyzing EEG Data During Opium Addiction Treatment Using a Fuzzy Logic-Based Machine Learning Model
(Frontiers, 2025)Background: Reliable noninvasive tools for assessing substance abuse treatment and predicting outcomes remain a challenge. We believe EEG-derived complexity measures may have a direct link to clinical diagnosis. To this ...
