Two protein-ligand complexes shown with their persistence fingerprint. by Yuxi Long (11024307)

Subjects:

Attack and defense behaviors with the sensory–motor algorithm between a single predator and a single prey. by Hiroyuki Ichijo (13891153)

Investigate the variation of the cost function in situations where many obstacles and other robots are detected. by Quoc Bao Diep (18452207)

Effects of Nash equilibrium attack and defense behaviors with the sensory–motor algorithm on encounters, agent numbers, and payoffs. by Hiroyuki Ichijo (13891153)

Effects of Nash equilibrium speed changes with the non-sensory motor algorithm on encounters, agent numbers, and payoffs. by Hiroyuki Ichijo (13891153)

Algorithm results based on FE simulated likelihood functions. by Nicolas Herzig (9230425)

Available functions in the utility package. by Raul Castañeda (13932971)

Tapping on the Black Box: How Is the Scoring Power of a Machine-Learning Scoring Function Dependent on the Training Set? by Minyi Su (1425976)

“…Model scoring functions were derived with these machine-learning algorithms on various training sets selected from over 3700 protein–ligand complexes in the PDBbind refined set (version 2016). …”

Empirical cumulative distribution function of RMSE for three sources. by Nauman Ahmed (8086868)

Attack and defense behaviors between a single predator and a single prey using the sensory–motor algorithm. by Hiroyuki Ichijo (13891153)

A Functional Bayesian Model for Hydrogen–Deuterium Exchange Mass Spectrometry by Oliver M. Crook (6013703)

A Functional Bayesian Model for Hydrogen–Deuterium Exchange Mass Spectrometry by Oliver M. Crook (6013703)

Available functions in the phase-shifting package. by Raul Castañeda (13932971)

Available functions in the numerical propagation package. by Raul Castañeda (13932971)

Available functions in the phase reconstruction package. by Raul Castañeda (13932971)

Handover percentage versus number of users. by Nada Ahmed Ezz-Eldien (17396553)

“…Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. …”

MADM methods’ general flowchart. by Nada Ahmed Ezz-Eldien (17396553)

“…Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. …”

Saaty’s scale of importance. by Nada Ahmed Ezz-Eldien (17396553)

“…Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. …”

Load distribution results. by Nada Ahmed Ezz-Eldien (17396553)

“…Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. …”

Power consumption results. by Nada Ahmed Ezz-Eldien (17396553)

“…Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. …”