Computation time as a function of the sample size on the chain graph dataset. by Tomokaze Shiratori (9635271)

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Computation time as a function of the sample size on the random graph dataset. by Tomokaze Shiratori (9635271)

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Computation time as a function of the number of variables on the chain graph dataset. by Tomokaze Shiratori (9635271)

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Computation time as a function of the number of variables on the random graph dataset. by Tomokaze Shiratori (9635271)

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Benchmark test function result. by HaoCheng Wang (6089567)

Fixed multimodal test functions. by HaoCheng Wang (6089567)

Run times of two algorithms. by Gourab Saha (8987405)

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A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finit... by Hassan Mehboob (8960273)

Average execution time (in seconds) of different benchmark functions. by Jalal- ud-Din (21474307)

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Weighted cost results of FMM in the two triangulated manifolds TM-I and TM-II as functions of resolution. by Tianjiao Wang (761650)

Flowchart of abnormal detection for CCL. by Zhibo Xie (6790775)

“…Then, the main three kinds of abnormal events are analyzed, and the judgment conditions of abnormal events based on correlation coefficient are deduced. Finally, a measurement anomaly detection scheme based on the improved iForest algorithm is given, including the algorithm flow chart and the pseudocode of key functions.…”

Flowchart of the general algorithm for one trial. by Junying Wang (509009)

New building interior space layout model flow. by Ling Zhao (111365)

“…In the experiments, optimization metrics such as kinematic optimization rate (calculated based on the shortest path and connectivity between functional areas), space utilization rate (calculated by the ratio of room area to total usable space), and functional fitness (based on the weighted sum of users’ subjective evaluations and functional matches) all perform well. …”

Experimental results of NAFPSO algorithm with pipeline complexity of 0.7. by Huichao Guo (14515171)

Experimental results of NAFPSO algorithm with pipeline complexity of 0.5. by Huichao Guo (14515171)

Experimental results of NAFPSO algorithm with pipeline complexity of 0.6. by Huichao Guo (14515171)

3D visualization of the Rastrigin function from the CEC 2019 benchmark test functions. by Mahmood A. Jumaah (22272371)

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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.…”

Image 1_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.…”

Image 3_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.…”