Architecture of AGAN algorithm model. by Xing Chen (140292)

“…To address the issue of discrete missing data in cardiac disease, this paper proposes the AGAN (Attribute Generative Adversarial Nets) architecture for missing data filling, based on generative adversarial networks. This algorithm takes advantage of the strong learning ability of generative adversarial networks. …”

ROC curves of six algorithms. by Xing Chen (140292)

“…To address the issue of discrete missing data in cardiac disease, this paper proposes the AGAN (Attribute Generative Adversarial Nets) architecture for missing data filling, based on generative adversarial networks. This algorithm takes advantage of the strong learning ability of generative adversarial networks. …”

The optimal contact/quarantine rates from the family of functions (4) and (5) for Hainan and Xinjiang. by Mengqi He (5753525)

“…(c, f) Average root mean square error (), corresponding to fitting epidemic data using model (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1011535#pcbi.1011535.e018" target="_blank">1</a>) based on various combinations of the family of functions (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1011535#pcbi.1011535.e044" target="_blank">4</a>) and (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1011535#pcbi.1011535.e045" target="_blank">5</a>) in Hainan and Xinjiang.…”

Flowchart for the Tabu Search Algorithm [43]. by Ferhat Yuna (21519851)

“…The mathematical model was transformed into a fitness function and a solution was provided with the Tabu Search Algorithm and Simulated Annealing. …”

Sensor value scenario for fuzzy logic algorithm. by Gourab Saha (8987405)

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System pharmacology-based determination of the functional components and mechanisms in chronic heart failure treatment: an example of Zhenwu decoction by Yisheng Huang (152457)

“…Subsequently, a pioneering method for evaluating node significance was formulated, culminating in the creation of core functional association space (CFAS). To discern vital components, a novel dynamic programming algorithm was devised and used to determine the core component group (CCG) within the CFAS. …”

Supporting data for "Personalized Electromyography Based Control Algorithm Development and Training System for Hand Prosthesis" for HKU Libraries by Xiaojun Wang (9067289)

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

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Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement - Fig 4 by Antoine Falisse (6061601)

Subjects:

Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement - Fig 3 by Antoine Falisse (6061601)

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Triangle fuzzy number membership function. by Amir Sabripoor (18605543)

The optimal contact/quarantine rates from the family of functions (4) and (5) for Xi’an, Guangzhou and Yangzhou. by Mengqi He (5753525)

“…(c, f, i) Average root mean square error (), corresponding to fitting epidemic data using model (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1011535#pcbi.1011535.e018" target="_blank">1</a>) based on various combinations of the family of functions (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1011535#pcbi.1011535.e044" target="_blank">4</a>) and (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1011535#pcbi.1011535.e045" target="_blank">5</a>) in Xi’an, Guangzhou and Yangzhou.…”

Parameter settings for metaheuristic algorithms. by Junhao Wei (6816803)

“…The performance of the canonical WOA is improved through innovative strategies: first, an initialization process using Good Nodes Set is introduced to ensure that the search starts from a higher-quality baseline; second, a distance-based guided search strategy is employed to adjust the search direction and intensity by calculating the distance to the optimal solution, which enhances the algorithm’s ability to escape local optima; and lastly, LSWOA introduces an enhanced spiral updating strategy, while the enhanced spiral-enveloping prey strategy effectively balances exploration and exploitation by dynamically adjusting the spiral shape parameters to adapt to different stages of the search, thereby more accurately updating the positions of individuals and improving convergence speed. …”

Datasheet1_Gait analysis comparison between manual marking, 2D pose estimation algorithms, and 3D marker-based system.pdf by Dimitrios Menychtas (16935831)

Results from the performance-based assessments of hand function for PALS and the age/sex matched healthy subgroup. by Conor D. Hayden (20855587)

Depiction of the theory, can sequence infer function? by Ashley I. Heinson (8124374)

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

“…To address the issue of discrete missing data in cardiac disease, this paper proposes the AGAN (Attribute Generative Adversarial Nets) architecture for missing data filling, based on generative adversarial networks. This algorithm takes advantage of the strong learning ability of generative adversarial networks. …”

Performance of the three algorithms. by Juanjuan Lin (2096830)

“…An integrated framework based on a novel genetic algorithm and the Frank—Wolfe algorithm is designed to solve the stochastic model. …”

Power consumption for SHA256 software algorithm. by Maytham S. Jabor (15853046)

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Image 4_Construction of a right ventricular function assessment model in patients undergoing invasive mechanical ventilation based on VExUS grading and the classification and regression tree algorithm.pdf by Jun Gao (203098)

“…A right ventricular function assessment model based on VExUS grading and the CART algorithm can effectively evaluate right ventricular performance and may serve as a useful tool in identifying venous congestion.…”