Serdar Ekinci

A decision-oriented risk prioritization framework for traffic crash management using explainable machine learning and economic impact analysis

Veysel Gider, Cafer Budak, Serdar Ekinci, Davut İzci et autres

Traffic crashes impose heavy human, economic, and societal costs. Machine learning has pushed crash severity prediction to high accuracy, yet most of this work stops at prediction and says little about what traffic safety managers should actually do. Here we propose a …

A decision-oriented risk prioritization framework for traffic crash management using explainable machine learning and economic impact analysis

Veysel Gider, Cafer Budak, Serdar Ekinci, Davut İzci et autres

Traffic crashes impose heavy human, economic, and societal costs. Machine learning has pushed crash severity prediction to high accuracy, yet most of this work stops at prediction and says little about what traffic safety managers should actually do. Here we propose a …

A Schrödinger and differential evolution framework for PID based liquid level control

Davut İzci, Serdar Ekinci, İrfan Ökten, Vedat Tümen et autres

In this study, a hybrid Schrödinger optimizer with differential evolution (h-SRADE) is proposed for optimal tuning of proportional–integral–derivative (PID) controllers applied to a three-tanks liquid level control system. The original Schrödinger optimizer (SRA), inspired by wave–particle duality and quantum mechanics principles, provides …

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Bio-Inspired Controller Design via Dholes-Inspired Optimization: A Novel Gompertz Function-Augmented PID Strategy for Electro-Hydraulic Actuator Control

Muhammet İsmail Güngör, Davut İzci, Serdar Ekinci

Electro-hydraulic actuator systems are widely used in precision motion-control applications; however, their displacement regulation remains challenging because fast response, low overshoot, and high steady-state accuracy must be achieved simultaneously under strongly dynamic operating conditions. In this study, a proportional-integral-derivative (PID) controller augmented …

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Predicting the Workability of PCE-Modified Cement–Fly Ash Pastes with Explainable Machine Learning

Veysel Gider, Serdar Ekinci, Davut İzci, Burcu Bektaş Güneş et autres

Reliable assessment of polycarboxylate ether (PCE)–binder combinations requires predictive models whose interpolation performance is distinguished from their performance when an entire formulation is absent from training. This study examined 616 cement–fly ash pastes prepared using twenty-two in-house PCE formulations, four fly ash …

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Temporally Validated Ordinal and Multi-Threshold Models for Retrospective Wildfire Escalation Risk Stratification: A 22-Year Mediterranean Incident Study

Ali Akdağlı, Gökhan Yüksek, Timur Lale, Serdar Ekinci et autres

Reproducibility package for “Temporally Validated Ordinal and Multi-Threshold Models for Retrospective Wildfire Escalation Risk Stratification: A 22-Year Mediterranean Incident Study”. The archive contains the anonymized modelling table, self-contained Python analysis code, locked analysis protocol, event-level predictions, full-precision result tables, and publication figures …

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Temporally Validated Ordinal and Multi-Threshold Models for Retrospective Wildfire Escalation Risk Stratification: A 22-Year Mediterranean Incident Study

Ali Akdağlı, Gökhan Yüksek, Timur Lale, Serdar Ekinci et autres

Reproducibility package for “Temporally Validated Ordinal and Multi-Threshold Models for Retrospective Wildfire Escalation Risk Stratification: A 22-Year Mediterranean Incident Study”. The archive contains the anonymized modelling table, self-contained Python analysis code, locked analysis protocol, event-level predictions, full-precision result tables, and publication figures …

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Optimal control of a heat flow system via novel enhanced quadratic interpolation optimization tuned 2DOF-PID controller

Gökhan Yüksek, Kaan Can, Serdar Ekinci, Erdal Akin

This study addresses the optimal temperature regulation problem of a laboratory-scale heat flow system using a two-degree-of-freedom proportional-integral-derivative (2DOF-PID) controller tuned by a newly developed enhanced quadratic interpolation optimization (eQIO) algorithm. The main contribution lies in improving the original quadratic interpolation optimization …

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Reproducible eRFO-Assisted Wildfire Escalation Analysis

Gökhan Yüksek, Ali Akdağlı, Serdar Ekinci, Davut İzci et autres

This reproducibility archive supports Science Progress manuscript SCI-26-1321, entitled “A Novel Optimized Ensemble Learning Framework for Early Wildfire Escalation Prediction in Mediterranean Environments.” It contains anonymized incident-level modelling data and coordinates authorized for public release by the Mersin Regional Directorate of Forestry, …

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Reproducible eRFO-Assisted Wildfire Escalation Analysis

Gökhan Yüksek, Ali Akdağlı, Serdar Ekinci, Davut İzci et autres

This reproducibility archive supports Science Progress manuscript SCI-26-1321, entitled “A Novel Optimized Ensemble Learning Framework for Early Wildfire Escalation Prediction in Mediterranean Environments.” It contains anonymized incident-level modelling data and coordinates authorized for public release by the Mersin Regional Directorate of Forestry, …

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Enhanced Transient Performance of Micro-Robotic Systems via SFOA-Based PID Tuning

Muhammet İsmail Güngör, Davut İzci, Serdar Ekinci, Ehab Ghith

Precise position control of magnetically actuated micro-robotic systems is challenging due to viscous damping, parameter sensitivity, and the requirement for high transient accuracy without overshoot. This study presents an optimization-based control framework for enhancing transient and steady-state performance of a magnetically actuated …

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A Fuzzy Logic-Enhanced Risk Assessment Framework for Battery Locomotive Maintenance in Underground Coal Mines

Ercüment N. Dizdar, Oğuz Koçar, Mehmet Şükrü Adin, Serdar Ekinci et autres

Battery locomotives used in underground coal mining operations require continuous maintenance, and failures occurring during these operations pose significant occupational safety and health (OSH) risks. Traditional Risk Assessment Methods (TRAMs), particularly the Risk Matrix Method (RMM), often fail to capture the uncertainty …

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