Bilgisayar Mühendisliği Bölümü Koleksiyonu
Güncel Gönderiler
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IoT-based Smart Home Security System with Machine Learning Models
(2024)The Internet of Things (IoT) has various applications in practice, such as smart homes and buildings, traffic management, industrial management, and smart farming. On the other hand, security issues are raised by the growing ... -
A new low-cost system design and implementation for order collecting and distribution systems
(PAMUKKALE UNIV, 2024)Covid-19 pandemisi insanların alışveriş alışkanlıklarını değiştirerek, özellikle internet üzerinden online alışveriş sitelerine yönelmelerine yol açmıştır. Artan sipariş oranları karşısında üretici ve tedarikçi firmalar için ... -
Quantum-Neural Network Model for Platform Independent Ddos Attack Classification in Cyber Security
(John Wiley and Sons Inc, 2024)Quantum Machine Learning (QML) leverages the transformative power of quantum computing to explore a broad range of applications, including optimization, data analysis, and complex problem-solving. Central to this study is ... -
Blockchain-based IoT security solutions for IDS research centers
(Elsevier B.V., 2024)The rapid evolution of the Internet of Things (IoT) has connected real-world objects to the Internet, enhancing digital interaction and introducing critical security vulnerabilities. Intrusion Detection Systems (IDS) are ... -
A New Approach for Super Resolution Object Detection Using an Image Slicing Algorithm and the Segment Anything Model
(Multidisciplinary Digital Publishing Institute (MDPI), 2024): Object detection in high resolution enables the identification and localization of objects for monitoring critical areas with precision. Although there have been improvements in object detection at high resolution, the ... -
Sentiment Analysis of Twitter Data of Hepsiburada E-commerce Site Customers with Natural Language Processing
(Springer Science and Business Media Deutschland GmbH, 2024)Social media usage has significantly increased, allowing people to freely express their wishes and complaints through these platforms. Consequently, this has caused a significant increase in data, providing information ... -
Welding strength prediction in nuts to sheets joints: machine learning and ANFIS comparative analysis
(2024)This study uses machine learning algorithms and the Adaptive Neuro-Fuzzy Inference System (ANFIS) to predict welding strength in DD13 sheet metal joints with AISI 1010 nuts. The objective is to optimize industrial welding ... -
Modeling Electro-Erosion Wear of Cryogenic Treated Electrodes of Mold Steels Using Machine Learning Algorithms
(Springer Science and Business Media Deutschland GmbH, 2024)Electro-erosion wear (EEW) is a significant problem in the mold steel industry, as it can greatly reduce the lifespan of electrodes. This study presents a machine-learning approach for predicting and modeling electrode and ... -
Chaotic marine predator optimization algorithm for feature selection in schizophrenia classification using EEG signals
(Springer, 2024)Schizophrenia is a chronic mental illness that can negatively affect emotions, thoughts, social interaction, motor behavior, attention, and perception. Early diagnosis is still challenging and is based on the disease’s ... -
COVID-19 and Behavioral Analytics: Deep Learning-Based Work-From-Home Sensing from Reddit Comments
(Springer Science and Business Media Deutschland GmbH, 2024)For the foreseeable future, managing the work from home (WFH) workplace will continue to be a challenge for enterprises. An essential stage in developing and improving a plan is utilizing topic modeling and polarity sentiment ... -
Bibliometric analysis of artificial intelligence techniques for predicting soil liquefaction: insights and MCDM evaluation
(Springer Science and Business Media B.V., 2024)The geotechnical phenomenon of soil liquefaction has serious implications for infrastructure and human safety, making it crucial to develop effective prediction and mitigation strategies as urbanization and infrastructure ... -
COMPARISON OF LONG SHORT-TERM MEMORY NETWORKS FOR DAILY AHEAD-FLOW PREDICTIONS ON A RIVER
(Gheorghe Asachi Technical University of Iasi, Romania, 2024)Prediction of peak river flows is an important problem for the design, management, and safety of hydraulic structures. The aim of the present study was to investigate the prediction capabilities of Long Short-Term Memory ... -
Efficiency Enhancement in Photovoltaic–Thermoelectric Hybrid Systems through Cooling Strategies
(Multidisciplinary Digital Publishing Institute (MDPI), 2024)The integration of photovoltaic (PV) and thermoelectric (TE) modules in PV-TE systems has shown potential for expanding the utilization of the solar spectrum, enhancing the total power output, and reducing the space that ... -
Meta-heuristic algorithms for integrating manufacturing and supply chain functions
(Elsevier Ltd, 2024)This study proposes an integrated framework that incorporates essential manufacturing and supply chain functions. These functions encompass process planning, scheduling, due-date assignment, and delivery optimization. The ... -
Automated classification of choroidal neovascularization, diabetic macular edema, and drusen from retinal OCT images using vision transformers: a comparative study
(Springer Science and Business Media Deutschland GmbH, 2024)Classifying retinal diseases is a complex problem because the early problematic areas of retinal disorders are quite small and conservative. In recent years, Transformer architectures have been successfully applied to solve ... -
CAWAL: A novel unified analytics framework for enterprise web applications and multi-server environments
(Elsevier Ltd, 2024)In web analytics, cloud-based solutions have limitations in data ownership and privacy, whereas client-side user tracking tools face challenges such as data accuracy and a lack of server-side metrics. This paper presents ... -
A comparative analysis of ensemble learning algorithms with hyperparameter optimization for soil liquefaction prediction
(Springer Science and Business Media Deutschland GmbH, 2024)Accurate prediction of soil liquefaction potential is crucial for evaluating the stability of structures in earthquake regions. This study focuses on predicting soil liquefaction using a dataset that included historical ... -
Stabilization of Expansive Clays with Basalt Fibers and Prediction of Strength by Machine Learning
(Institute for Ionics, 2024)Expansive clays with high plasticity need to be stabilized to prevent hazards that may arise due to the extreme volume changes experienced with moisture fluctuations. Utilizing a kind of natural and eco-friendly sustainable ... -
A new DEVS-based network simulator for online routing protocol education
(Springer, 2024)Simulation continues to be highly attractive and indispensable for studying networked systems. There remains the need for simulators that can support efficient execution in large-scale, complex models and can offer a ... -
A brain tumour classification on the magnetic resonance images using convolutional neural network based privacy-preserving federated learning
(WILEY, 2024)The healthcare industry has found it challenging to build a powerful global classification model due to the scarcity and diversity of medical data. The leading cause is privacy, which restricts data sharing among healthcare ...