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. …"

Testing algorithm for modified 2-tiered approaches to Lyme disease diagnosis. حسب Richard Porwancher (11413931)

The architecture of LSTM cell. حسب Asmaa Ahmed Awad (16726315)

Data_Sheet_1_Crystal Structure Prediction of Binary Alloys via Deep Potential.PDF حسب Haidi Wang (9694004)

Identification and quantitation of clinically relevant microbes in patient samples: Comparison of three k-mer based classifiers for speed, accuracy, and sensitivity حسب George S. Watts (7962206)

Schematic representation of semi-automated algorithm for organoids analyzing. حسب Anna Demchenko (18449439)

Optimal Timings Codebook.xlsx حسب Emma Spillane (11249121)

Risk element category diagram. حسب Yao Hu (3479972)

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

S1 Data - حسب Yao Hu (3479972)

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

Airport risk levels. حسب Yao Hu (3479972)

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

Comparison results with other literature. حسب Yao Hu (3479972)

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

LSTM model validation results. حسب Yao Hu (3479972)

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

Flight failure factors. حسب Yao Hu (3479972)

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

R flight failure list. حسب Yao Hu (3479972)

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

Structure diagram of LSTM cell model. حسب Yao Hu (3479972)

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

Intelligent risk assessment model diagram. حسب Yao Hu (3479972)

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

Proportion of risk factors. حسب Yao Hu (3479972)

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

Proportion of reasons affecting flights. حسب Yao Hu (3479972)

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

LSTM model training accuracy verification. حسب Yao Hu (3479972)

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