Reverse engineering information flow using stimulus-encoding and stimulus-transfer estimation algorithms. by Gabriel Matías Lorenz (21094672)

Parameters to configure the multi-staged vascularization using the PDCCO algorithm. by Eduardo G. Zilves (22209247)

Geometric interpretation and data visualisation equivalent describing the DI algorithmic pipeline. by Borjan Milinkovic (21349908)

DE algorithm flow. by Ling Zhao (111365)

Training algorithm flow. by Xing Chen (140292)

CONSORT flow diagram of participant recruitment and retention. by Carol Kotliar (22351525)

Subjects:

The flow of the genetic algorithm with the nested Frank-Wolfe algorithm. by Zhipeng Huang (1759759)

Improved BP network algorithm flow. by Wang Xiaoqian (10502222)

The convergence curve of each optimization algorithm under the test function. by Hao Yang (328526)

Flow chart diagram of blind quantum algorithm. by Sultan H. Almotiri (14029251)

Flow chart diagram of quantum hash function. by Sultan H. Almotiri (14029251)

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. …”

The algorithm flow for modeling the pitch contours of Yue opera phonemes. by Yuhang Zhang (3144870)

Optimization flow of the co-simulation method. by Shangyang Jin (21772466)

Model intrinsic parameter flow. by Dawei Wang (471687)

Flow chart of CTCMKT. by Yu Liu (6938)

Analysis of ABIDE dataset: Conventional regression frameworks for optimized algorithmic value. by Alexandria M. Jensen (6494957)

Subjects:

Data Sheet 1_Simplified two-compartment neuron with calcium dynamics capturing brain-state specific apical-amplification, -isolation and -drive.pdf by Elena Pastorelli (7024235)

“…This work provides the computational community with a two-compartment spiking neuron model that supports the proposed forms of brain-state-specific activity. A machine learning evolutionary algorithm, guided by a set of fitness functions, selected parameters defining neurons that express the desired apical dendritic mechanisms. …”

Results from different ML algorithms. by Caroline L. Alves (14271413)

ROC curve for each ML algorithm. by Caroline L. Alves (14271413)