Open-source code for the Spatial Optimization Model for Land Use (SSFLA-MLAS) حسب bowen pang (21837359)

"…<p dir="ltr">The open-source content is the source code of a land use spatial optimization model (SSFLA-MLAS) that couples the spatial leapfrog algorithm with multi-level multi-agent systems. …"

Coding schematic. حسب Dongyan Wang (195482)

الموضوعات:

Algorithmic experimental parameter design. حسب Chuanxi Xing (20141665)

"…This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.</p></div>…"

Experimental data of ZFD-Net algorithm for defects. حسب Yang Gao (18005)

The penetrance tables for the 8 DNME models. حسب Liyan Sun (760586)

الموضوعات:

The penetrance tables for the 8 DME models. حسب Liyan Sun (760586)

الموضوعات:

The penetrance tables for the 6 DNME3 models. حسب Liyan Sun (760586)

الموضوعات:

Influence of hyperparameters on experimental results in IST algorithm. حسب Ke Zhang (115386)

Setting of experimental environment and model parameters. حسب Guozhu Sui (21672798)

Model comparison experimental results. حسب Chunhua Yang (346871)

"…The algorithm improves the partial structure of the YOLOv10 network through space-to-depth convolution. …"

Main Experimental Parameters of Baseline Algorithms. حسب Ming Gao (115719)

الموضوعات:

Code and raw data used in this study. حسب Zhuolin Yang (14658411)

"…The experimental results show that the MIoU value reaches 79.2% on the Cityspaces dataset and 79.6% on the CamVid dataset, that the number of parameters is significantly lower than those of other models, and that the proposed method can effectively achieve improved semantic image segmentation performance and solve the partial category segmentation confusion problem, giving it certain application prospects.…"

Schematic diagram of the experimental algorithm. حسب Ronghua Meng (20978441)

Experimental dataset. حسب Hao Cao (2248066)

Comparison of Algorithm Mechanisms and Experimental Settings Between PSO-KM and Benchmark Models. حسب Hongwei Yue (574068)

"…<p>Comparison of Algorithm Mechanisms and Experimental Settings Between PSO-KM and Benchmark Models.…"

Experimental software and hardware configuration and algorithm initialization parameter settings. حسب Lu Lin (201289)

Main code. حسب Jingguo Bi (21439766)

Experimental setup. حسب Hui Yang (91136)

Evaluation of model aggregation algorithms. حسب JiaMing Wang (334865)

"…Additionally, the paper introduces the Gradient Similarity Model Aggregation (GSA) algorithm, which dynamically selects and weights updates from different models to reduce communication overhead. …"

Comparison of experimental results for cervical tumour segmentation algorithms. حسب Yao Yao (335996)