Matlab code of a version using numerical optimization for Q. by Hiroko Kato Solvang (5718250)

R code for a version using numerical optimization for Q. by Hiroko Kato Solvang (5718250)

The pseudo-code of the WOA-LSTM-PID model. by Dayu Zhang (710629)

Code program. by Honglei Pang (22693724)

data_code.zip by Mengmeng Gong (20129994)

Python source code of the framework. by Tomasz Gutowski (17200042)

Comparison with YOLO-based state-of-the-art methods. by Beigeng Zhao (21637197)

ARIMA model parameters. by Zixi Wang (459102)

“…Traditional heuristic methods, though intuitive, often fail to achieve global optimization. To address these challenges, this research introduces a novel strategy, combining mathematical modeling, a hybrid genetic algorithm, and ARIMA time series forecasting. …”

NEXMD Software Package for Nonadiabatic Excited State Molecular Dynamics Simulations by Walter Malone (3834031)

Subjects:

All data and code of the paper are freely and fully available at GitHub https://github.com/aleedelarica/XDRL-for-finance. by Alejandra de-la-Rica-Escudero (20570535)

ARIMA model fitted prediction graph. by Zixi Wang (459102)

“…Traditional heuristic methods, though intuitive, often fail to achieve global optimization. To address these challenges, this research introduces a novel strategy, combining mathematical modeling, a hybrid genetic algorithm, and ARIMA time series forecasting. …”

Performance comparison between the proposed method and YOLO-based state-of-the-art methods on the SeaDronesSee dataset under varying model complexities. by Beigeng Zhao (21637197)

Code. by Pengfei Huang (552512)

Datas and codes from the experiments. by Jin Xu (31283)

IACO pseudo code. by Pengfei Huang (552512)

S1 Dataset - by Zixi Wang (459102)

“…Traditional heuristic methods, though intuitive, often fail to achieve global optimization. To address these challenges, this research introduces a novel strategy, combining mathematical modeling, a hybrid genetic algorithm, and ARIMA time series forecasting. …”

Robustness of the optimization process in a real dataset. by Neta Ravid Tannenbaum (2940351)

“…It can be seen that the optimization algorithm which is used in this work to fit the iCVS model is affected by the supplied start points. …”

Surround Suppression mechanism. by Elnaz Nemati (21402730)

Ablation study results. by Beigeng Zhao (21637197)

“…In the lightweight complexity range, the proposed model achieves a relative accuracy improvement of 20.85% to 43.70% compared to these state-of-the-art methods. …”

Data_Sheet_1_Spatiotemporal Patterns of Adaptation-Induced Slow Oscillations in a Whole-Brain Model of Slow-Wave Sleep.PDF by Caglar Cakan (8755440)