Path comparison before and after smoothing. by Zhenggang Wang (1753657)

Subjects: “…target gravitational function…”

Mirobot six-axis robot arm. by Zhenggang Wang (1753657)

Subjects: “…target gravitational function…”

Final path. by Zhenggang Wang (1753657)

Subjects: “…target gravitational function…”

Comparison before and after path pruning. by Zhenggang Wang (1753657)

Subjects: “…target gravitational function…”

Time and path length of 30 simulation planning. by Zhenggang Wang (1753657)

Subjects: “…target gravitational function…”

Joint coordinate system. by Zhenggang Wang (1753657)

Subjects: “…target gravitational function…”

Schematic diagram of path pruning process. by Zhenggang Wang (1753657)

Subjects: “…target gravitational function…”

Mirobot robot arm model. by Zhenggang Wang (1753657)

Subjects: “…target gravitational function…”

Path planning simulation process of the robotic arm. by Zhenggang Wang (1753657)

Subjects: “…target gravitational function…”

Expansion procedure. by Zhenggang Wang (1753657)

Subjects: “…target gravitational function…”

Comparison of PyNoetic’s functionality for BCI design with other existing state-of-the-art frameworks. by Gursimran Singh (575288)

Subjects:

Mean and covariance estimation of functional data streams by Mingxue Quan (13282368)

Library of the 55 different classification and regression machine-learning algorithms used by the ensemble predictor SuperLearner (SL.library) in the CBDA 2.0 implementation. by Simeone Marino (81051)

Subjects:

DataSheet1_Optimal dispatch of integrated energy systems considering integrated demand response and stepped carbon trading.zip by Xianglei Ye (14669969)

“…Considering the high-dimensional and non-linear characteristics of the model, an improved differential evolution (DE) algorithm is introduced in this paper. In addition, this paper also analyzes the effects of the stepped carbon trading parameters on the optimal dispatching results of the system in terms of carbon trading base price, carbon emission interval length, and carbon price growth rate. …”

The algorithm for the same-day surgery protocol. by Magnus Tveit (11442200)

The scores (objective function values) acquired when generating individual schedules for each of the patients using PPO trained agents with PK/PD and ML environments and 2 dose ste... by Tomasz Gutowski (17200042)

The validation set results under different split function. by Chengxin Yin (17283226)

Summary of results of naïve Bayes algorithms. by Christopher E. Niemczak (8586861)

“…Algorithms trained without auditory variables as features were statistically worse (p < .001) in both the primary measure of area under the curve (0.82/0.78) and the secondary measure of accuracy (72.3%/74.5%) for the Gaussian and kernel algorithms respectively.…”

Benchmark functions. by Qinghe Guo (21519322)

Parameters used to train the xgboost final models through the extreme gradient boosting algorithm in this work (n = 11,009 species). by Luis Javier Madrigal-Roca (17743035)