Browsing by Subject "Machine learning"
Now showing items 1-7 of 7
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Accurate prediction of the rheological behavior of MWCNT-Al2O3/ water-ethylene glycol nanofluid with metaheuristic-optimized machine learning models
(Elsevıer France-Edıtıons Scıentıfıques Medıcales Elsevıer, 2025)The accurate prediction of the rheological properties of nanofluids is critical for optimizing their application in various industrial systems. This study focuses on the dynamic viscosity prediction of MWCNT-Al2O3/water ... -
An Edge Computing-Based Preventive Framework With Machine Learning- Integration for Anomaly Detection and Risk Management in Maritime Wireless Communications
(IEEE-INST Electrical Electronics Engineers INC, 2024)The safety of maritime environments in context with effective and secure wireless communication networks is required for ships, coastal stations, and maritime authorities. The dynamic nature of marine environments, where ... -
An efficient trust-based decision-making approach for WSNs: Machine learning oriented approach
(Elsevier, 2023)Wireless Sensor Networks (WSNs) are often used for critical applications where trust and security are of paramount importance. Trust evaluation is one of the key mechanisms to ensure the security and reliability of WSNs. ... -
An exploratory alternative approach to potential incident simulation, control, and evaluation system simulation for prediction of oil spill behavior through supervised machine learning
(Global NEST, 2025)The incidents occurring within the marine environment are supported by various Decision Support Systems (DSS), both in simulation and intervention. Accurate and real-time data inputs into these systems greatly contribute ... -
Implementation of a triangular probabilistic distribution for optimal parametrization of the SEIR model recovery rates with delay
(American Institute of Physics Inc., 2023)Dynamical analysis of epidemiological models received significant attention after the global disaster of the Covid-19 pandemic. Although much of the attention has focused on choosing the appropriate model to describe and ... -
Prediction of Electricity Production from Wind and Solar Energy by Employing Regression Models
(Institute of Electrical and Electronics Engineers Inc., 2024)Accurately predicting electricity production from renewable energy sources is critical for sustainable energy systems. Wind and solar energy play key roles in reducing greenhouse gas emissions and reliance on fossil fuels. ... -
Understanding Covid-19 Mobility Through Human Capital: A Unified Causal Framework
(Springer, 2023)This paper seeks to identify the causal impact of educational human capital on social distancing behavior at workplace in Turkey using district-level data for the period of April 2020 - February 2021. We adopt a unified ...
