Performance comparison for different algorithms reported in terms of bootstrapped canonical correlation of each component. حسب Shashwat Kumar (19120858)

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

Basic hand movements. حسب Yue Yuan (113839)

"…Finally, three machine learning methods are used to recognize hand movements. The proposed method was tested on the sEMG for Basic Hand movements Data Set and achieved an average accuracy of 99.14%. …"

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

An overview of the organization of the study program. حسب Marialuisa Gandolfi (8639238)

الموضوعات:

Overview of the development of the biomarkers in the motor, exteroceptive, interoceptive, and cerebral domains. حسب Marialuisa Gandolfi (8639238)

الموضوعات:

The schedule of enrolment, interventions, and assessments. حسب Marialuisa Gandolfi (8639238)

الموضوعات:

Analysis of single features of vehicle movement. حسب Yaqin He (4627711)

The parameter setting of the evolutionary neural network. حسب Wenbing Shi (5806160)

الموضوعات:

The genome coding scheme. حسب Wenbing Shi (5806160)

الموضوعات:

Pseudo code. حسب Xuwei Liu (6034592)

"…Overall, the designed model can optimize the accuracy of engineering budgeting and the ability to control costs.</p></div>…"

Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring حسب Bingbing Qu (17603577)

الموضوعات:

Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring حسب Bingbing Qu (17603577)

الموضوعات:

Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring حسب Bingbing Qu (17603577)

الموضوعات:

Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring حسب Bingbing Qu (17603577)

الموضوعات:

Iterative curve of the dungeon algorithm. حسب Xiangfei Tao (20775636)

"…The dung beetle optimization algorithm is specifically designed to iteratively optimize the control parameters of the robust adaptive controller. …"

Sparse canonical-correlation analysis (sCCA) of TC scores with reinforcement-learning and sensorimotor-control variables. حسب Huu Hoang (9188747)

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)

The accuracy of all employed learning algorithms. حسب Quan Shao (20148209)