Transient response of different algorithms-based 2-DOF PIDA controllers. حسب Erdal Eker (19251018)

Steady-state response of different algorithms based 2-DOF PIDA controllers. حسب Erdal Eker (19251018)

Time domain performance metrics of different algorithms based 2-DOF PIDA controllers. حسب Erdal Eker (19251018)

Best convergence curves of the algorithms with respect to iteration number. حسب Erdal Eker (19251018)

Adopted parameter ranges and the obtained best parameters via different algorithms. حسب Erdal Eker (19251018)

Statistical performance evaluation of algorithms and p-values obtained from Wilcoxon’s test. حسب Erdal Eker (19251018)

Optimized network structure. حسب Menaa Nawaz (14304920)

Data Sheet 1_Robust multi-objective optimization framework for performance-based seismic design of steel frame with energy dissipation system.docx حسب Yuting Cheng (11954209)

"…This study introduces a novel Robust Multi-objective Optimization framework for Performance-Based Seismic Design (RMO-PBSD). …"

Python-Based Algorithm for Calculating Physical Properties of Aqueous Mixtures Composed of Substances Not Available in Databases حسب Jina Lee (3138492)

"…To validate the accuracy of the model, the results obtained from the proposed algorithm were compared to experimental data for 37 binary aqueous mixture systems covering properties such as density, heat capacity, viscosity, and thermal conductivity. …"

Python-Based Algorithm for Calculating Physical Properties of Aqueous Mixtures Composed of Substances Not Available in Databases حسب Jina Lee (3138492)

"…To validate the accuracy of the model, the results obtained from the proposed algorithm were compared to experimental data for 37 binary aqueous mixture systems covering properties such as density, heat capacity, viscosity, and thermal conductivity. …"

Cuff-less Blood Pressure Measurement based on Four-wavelength PPG Signals حسب Liang yongbo (4822017)

"…<a href="https://www.mdpi.com/2079-6374/8/4/101" target="_blank"><b>Link</b></a></p><p dir="ltr">[12] Xuhao Dong Ziyi Wang, Liangli Cao, Zhencheng Chen*, <b>Yongbo Liang*</b>. Whale Optimization Algorithm with a Hybrid Relation Vector Machine: A Highly Robust Respiratory Rate Prediction Model Using Photoplethysmography Signals [J]. …"

Reconstruction results of a proton density weighted knee image with fat suppression. حسب Chi Zhang (9857)

Table_1_Unveiling suspicious phishing attacks: enhancing detection with an optimal feature vectorization algorithm and supervised machine learning.DOCX حسب Maruf A. Tamal (18947776)

"…To bridge these gaps, this study aims to develop a more robust, effective, sophisticated, and reliable solution for phishing detection through the optimal feature vectorization algorithm (OFVA) and supervised machine learning (SML) classifiers.…"

Table_2_Unveiling suspicious phishing attacks: enhancing detection with an optimal feature vectorization algorithm and supervised machine learning.DOCX حسب Maruf A. Tamal (18947776)

"…To bridge these gaps, this study aims to develop a more robust, effective, sophisticated, and reliable solution for phishing detection through the optimal feature vectorization algorithm (OFVA) and supervised machine learning (SML) classifiers.…"

MARGO workflow, tracking algorithm, and sample behavioral box. حسب Zach Werkhoven (6473165)

Block diagram of 2-DOF PIDA controller. حسب Erdal Eker (19251018)

"…A novel adaptive objective function (combining normalized overshoot, normalized settling time, and cumulative tracking error) guides the tuning process to achieve a balanced improvement in both transient and steady-state performance. The proposed GCRA-based 2-DOF PIDA controller is evaluated through extensive simulations and compared against state-of-the-art metaheuristic tuning approaches, including polar fox optimization (PFA), hiking optimization (HOA), success-history based adaptive differential evolution with linear population size reduction (L-SHADE), and particle swarm optimization (PSO), as well as several benchmark furnace control methods. …"

Zoomed view of Fig 7. حسب Erdal Eker (19251018)

"…A novel adaptive objective function (combining normalized overshoot, normalized settling time, and cumulative tracking error) guides the tuning process to achieve a balanced improvement in both transient and steady-state performance. The proposed GCRA-based 2-DOF PIDA controller is evaluated through extensive simulations and compared against state-of-the-art metaheuristic tuning approaches, including polar fox optimization (PFA), hiking optimization (HOA), success-history based adaptive differential evolution with linear population size reduction (L-SHADE), and particle swarm optimization (PSO), as well as several benchmark furnace control methods. …"

Zoomed view of Fig 10. حسب Erdal Eker (19251018)

"…A novel adaptive objective function (combining normalized overshoot, normalized settling time, and cumulative tracking error) guides the tuning process to achieve a balanced improvement in both transient and steady-state performance. The proposed GCRA-based 2-DOF PIDA controller is evaluated through extensive simulations and compared against state-of-the-art metaheuristic tuning approaches, including polar fox optimization (PFA), hiking optimization (HOA), success-history based adaptive differential evolution with linear population size reduction (L-SHADE), and particle swarm optimization (PSO), as well as several benchmark furnace control methods. …"

Analysis of geo-spatiotemporal data using machine learning algorithms and reliability enhancement for urbanization decision support حسب Kwame O. Hackman (9289505)

"…Two classification algorithms – random forest (RF) and support vector machines (SVM) – were used to produce binary (built-up / non-built up) maps for all years within the temporal span. …"

Risk element category diagram. حسب Yao Hu (3479972)

"…It can be summarized that the algorithmic model has good accuracy and robustness. …"