Computation time (seconds) for Algorithm 2 by network type. by Alireza Rangrazjeddi (13360943)

Four algorithms construct feature face time and recognition time on different datasets. by Lu Lin (201289)

“trend+var” algorithm. by Roman Olson (6577004)

Average runtime for all algorithms on benchmark functions (in second). by Shuhan Du (13955497)

Comparison of edge detector and CHT in detecting droplets. by Manibarathi Vaithiyanathan (6655274)

Convergence speed of five algorithms. by Huichao Guo (14515171)

“…<div><p>This paper aims to solve the scheduling optimization problem in the emergency management of long-distance natural gas pipelines, with the goal of minimizing the total scheduling time. To this end, the objective function of the minimum total scheduling time is established, and the relevant constraints are set. …”

(a-c) Sampling event times with an intensity function . by Gerrit Großmann (9585147)

Verification of the in-line PS function. by Raul Castañeda (13932971)

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

Performance validation of different algorithms in two benchmark functions. by Wenjing Wang (181404)

Subjects:

The comparison results of different algorithms on CEC2019 functions. by Yu Li (183836)

Data_Sheet_1_Abnormal Brain Functional Network Dynamics in Acute CO Poisoning.docx by Hongyi Zheng (816158)

“…</p><p>Results: We identified four morphological patterns of brain functional network connectivity. During the acute phase of carbon monoxide poisoning, patients spent more time in State 2, which is characterized by positive correlation between SMN and CEN, and negative correlation between DMN and SMN. …”

The average training time for different kernel functions. by Jialiang Zhang (1574704)

Three-dimensional function image for testing algorithm performance. by Jianpeng Zhang (528185)

Subjects:

Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm. by Turgay Şengül (12801990)

“…<p>Predicted body weights (kg) as a function of time (age in weeks) obtained from MARS algorithm.…”

The final values of the cost function, the selected features number, and the implementation time for the introduced meta-heuristic algorithms. by Hamed Khodadadi (21446172)

“…<p>The final values of the cost function, the selected features number, and the implementation time for the introduced meta-heuristic algorithms.…”

The structure of the proposed algorithm. by Mingbao Yang (14008799)

Parameters of trained algorithms. by Swathi Anil (17382903)

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Comparative statistical performance of various algorithms in minimizing the <i>F</i> cost function. by Davut Izci (15927452)

Subjects:

Objective function values and CPU times of the considered solution approaches. by Yangjun Ren (17691912)