Comparison of results of different algorithms. by Zhibo Fu (19009854)

“…The Yolov8s-change model provides a fast, real-time and efficient detection solution for gangue sorting. …”

Variations in cost effectiveness ratios of the eight Ebola screening algorithms as a function of the cost of standard-of-care and QuickNavi™-Ebola RDT. by Antoine Oloma Tshomba (14271425)

Represention of the anneal schedules used as a function of the dimensionless anneal parameter <i>s</i>. by John Golden (9946327)

Structural diagram of the overall SCF-YOLO algorithm. by Yazhou Li (277980)

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Ave and Std of different algorithms. by Yanzhao Gu (21192659)

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Parameter settings for metaheuristic algorithm. by Yanzhao Gu (21192659)

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The convergence curves of all the 10 algorithms. by WanRu Zhao (18980374)

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Results of the SNMR kernel functions for different typical geological models. by Hanbo Chen (722038)

PFC value of algorithms on two datasets. by Xing Chen (140292)

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Skin transfer function ankle render diagram. by Yuliang Yuan (4478698)

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Bone transfer function pelvis render diagram. by Yuliang Yuan (4478698)

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Computational time for each algorithm as functions of (1) number of genes, with a fixed number of 1200 cells per time point (left); or (2) number of cells per time point, with a fixed number of 100 genes. by Wenjun Zhao (644283)

“…<p>Computational time for each algorithm as functions of (1) number of genes, with a fixed number of 1200 cells per time point (left); or (2) number of cells per time point, with a fixed number of 100 genes.…”

Comparison between MaAVOA and other algorithms in terms of the number of generation and number of function evaluations on DTLZs in case of the computational time is 30 seconds. by Heba Askr (15572851)

“…<p>Comparison between MaAVOA and other algorithms in terms of the number of generation and number of function evaluations on DTLZs in case of the computational time is 30 seconds.…”

Performance of the greedy approximation algorithm. by Virgile Andreani (17087764)

The average cumulative reward of algorithms. by Jianbin Zheng (587000)

“…In response to the multi-agent system of the H-beam riveting and welding work cell, a recurrent multi-agent proximal policy optimization algorithm (rMAPPO) is proposed to address the multi-agent scheduling problem in the H-beam processing. …”

Listed python codes of our algorithm with explanations (Python 3.9 recommended). by Takayuki Niizato (162226)

Flowchart of P&O-based MPPT algorithm. by Luqman Khan (17921419)

Greedy optimization algorithm. by Alexis Bénichou (19832361)

The main steps of the general algorithm. by Dror Mughaz (18017583)

Feature selection algorithm. by Mahmoud Zeydabadinezhad (12289570)

“…Our analysis pipeline included pre-processing steps, feature extraction from both time and frequency domains, a voting algorithm for selecting features, and model training and validation. …”