Natural Charge-Transfer Analysis: Eliminating Spurious Charge-Transfer States in Time-Dependent Density Functional Theory via Diabatization, with Application to Projection-Based Em... by Kevin Carter-Fenk (6690314)

“…Projection of these orbitals onto solvent-centered virtual orbitals provides a criterion for defining the most important solvent molecules in a given excitation and be used as an automated subspace selection algorithm for projection-based embedding of a high-level description of the CTTS state in a lower-level description of its environment. …”

Exploration and exploitation phases of nAOA. by Jeffrey O. Agushaka (11326679)

Constructing the dynamical law. by Robert Marsland (8616483)

Definitions of global parameters used for constructing random ecosystems. by Robert Marsland (8616483)

General idea of alternative structures of aptamers binding the same ligand and its specific implementation scheme for the BioRS function. by Alexander V. Spirov (11302085)

Pacemaker reprogramming protocol and its results. by Maria F. Paton (11831662)

Algorithm Parameter Setting. by Tong Zhou (3770)

“…This strategy uses the improved D3QN algorithm combined with the excellent smoothness of the sine function to evaluate driving safety, helping vehicles find suitable gaps in traffic flow. …”

P -values for SGHHO and other reported algorithms by Wilcoxon test on the benchmark function. by Qiong Wu (84327)

Reward function related parameters. by Honglei Pang (22693724)

Subjects:

(a): These systems were simulated for (0,3] and (0,3] without the prior knowledge about different phases, and the probability density function of points in feature space illustrate... by Ali Talebi (7164203)

“…(b): The dense areas are separated by removing the data less than threshold = 0.5 in the probability density function. (c): The centroid of each cluster is determined by the K-means algorithm.…”

The results of the Friedman and Kruskal-Wallis tests for all algorithms at <i>D</i> = 30, 50, 100. by Xuxu Zhong (10099054)

Subjects:

The Wilcoxon’s rank-sum test results for all algorithms at <i>D</i> = 30, 50, 100. by Xuxu Zhong (10099054)

Subjects:

RMSE values of different algorithms for different bands in the "Kherson" region. by YueSheng Jiang (19267984)

RMSE values of different algorithms for different bands in the "PY" region. by YueSheng Jiang (19267984)

Population <i>versus</i> success rate for the Rosenbrock function. by Rutinaldo Aguiar Nascimento (14259594)

Subjects:

Population <i>versus</i> success rate for the Rastrigin function. by Rutinaldo Aguiar Nascimento (14259594)

Subjects:

Optimization results of each HHO variants on IEEE CEC 2014 functions. by Qiong Wu (84327)

Summary statistics for the number of function evaluations on real-world dataset—Phase I. by Fadi K. Dib (5204807)

Summary statistics for the values of objective function on real-world dataset—Phase II. by Fadi K. Dib (5204807)

Summary statistics for the values of objective function on real-world dataset—Phase I. by Fadi K. Dib (5204807)