Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code حسب Goutami Sooda (20714729)

"…<p dir="ltr">This dataset was designed to fine-tune code-generation models for converting algorithmic statements written in Kannada or English into Python code. …"

Improve algorithm settings. حسب Hui Zhao (7395)

الموضوعات:

Hyperparameters of self-supervised learning algorithms used in Experiments 1–5. حسب Lalit Pandey (13195488)

The optimal number of clusters identified using the GMM clustering algorithm. حسب Dinh K. Tang (20469082)

Optimal number of clusters identified using the GMM clustering algorithm. حسب Dinh K. Tang (20469082)

Line charts of the elbow method and the k-value selection algorithm: (A) elbow method; (B) k-value selection algorithm. حسب Jingnan Yan (20727331)

الموضوعات:

Algorithm flow of the GA-BPNN model. حسب Xiying Wang (4859998)

الموضوعات:

Notations and definitions used in the algorithm. حسب Nazym Alimbekova (22766158)

The genetic algorithm. حسب Viktoria Zemliak (19500335)

Dynamic window based median filtering algorithm. حسب Li Yuan (102305)

الموضوعات:

Effects of different algorithms on feature extraction of jamming signals. حسب Hui Zhao (7395)

الموضوعات:

Flowchart of the algorithm. حسب Xingan Fu (21594713)

Detailed information of the field experiments. حسب Yonghui Zhang (279832)

الموضوعات:

Flowchart of SBOA algorithm. حسب Xuhao Chen (11815106)

"…Aiming at the problems of restricted solution set exploration, easy to fall into local optimization and slow convergence when solving the inverse kinematics of multi-DOF robotic arm by SBOA, this paper introduces the oppositional variational perturbation, golden sine development and evolutionary strategy to optimize the formation of ISBOA, and verifies its effectiveness through numerical experiments. Simulation experiments using 4, 6, and 7-DOF robotic arms are conducted, with inverse solution results analyzed via PCA dimensionality reduction and K-means clustering, demonstrating the superiority of ISBOA in inverse solution diversity. …"

Optimization algorithm parameter settings. حسب Xuhao Chen (11815106)

"…Aiming at the problems of restricted solution set exploration, easy to fall into local optimization and slow convergence when solving the inverse kinematics of multi-DOF robotic arm by SBOA, this paper introduces the oppositional variational perturbation, golden sine development and evolutionary strategy to optimize the formation of ISBOA, and verifies its effectiveness through numerical experiments. Simulation experiments using 4, 6, and 7-DOF robotic arms are conducted, with inverse solution results analyzed via PCA dimensionality reduction and K-means clustering, demonstrating the superiority of ISBOA in inverse solution diversity. …"

Quantitative results of three algorithms. حسب Zahoor Jan (20077515)

الموضوعات:

Line chart plotted using the k-value selection algorithm: (A) system 1; (B) system 2; (C) system 3. حسب Jingnan Yan (20727331)

الموضوعات:

CEC 2017 algorithm ranking chart. حسب Xuhao Chen (11815106)

"…Aiming at the problems of restricted solution set exploration, easy to fall into local optimization and slow convergence when solving the inverse kinematics of multi-DOF robotic arm by SBOA, this paper introduces the oppositional variational perturbation, golden sine development and evolutionary strategy to optimize the formation of ISBOA, and verifies its effectiveness through numerical experiments. Simulation experiments using 4, 6, and 7-DOF robotic arms are conducted, with inverse solution results analyzed via PCA dimensionality reduction and K-means clustering, demonstrating the superiority of ISBOA in inverse solution diversity. …"

Comparison of performance and interpretability of different models. حسب Haotong Han (20855036)

الموضوعات:

Data and code resources. حسب Sam Hall-McMaster (10343795)

"…This behavior was consistent with a computational process based on the successor representation known as successor features and generalized policy improvement (SF&GPI). Neither model-free perseveration or model-based control using a complete model of the environment could explain choice behavior. …"