Video1_Reducing the muscle activity of walking using a portable hip exoskeleton based on human-in-the-loop optimization.AVI by Linghui Xu (6295400)

“…Both Bayesian and Covariance Matrix Adaptive Evolution Strategy (CMA-ES) optimization algorithms were adopted on a portable hip exoskeleton to generate optimal assist torque patterns, optimizing rectus femoris muscle activity. …”

Random forest model performs better than support vector machine algorithms and when it primarily uses spontaneous photopic ERG of 60-s duration in humans. by Ramsés Noguez Imm (6658637)

The illustration of the postural controller feedback loop is studied in this paper. by Hedyeh Jafari (9667127)

Decoding results. by Sam Hall-McMaster (10343795)

Triplet Matching for Estimating Causal Effects With Three Treatment Arms: A Comparative Study of Mortality by Trauma Center Level by Giovanni Nattino (561797)

“…Our algorithm outperforms the nearest neighbor algorithm and is shown to produce matched samples with total distance no larger than twice the optimal distance. …”

Prediction results of XGBoost algorithm. by Huijun Chen (148680)

“…The results show that: (1) the accuracy and recall rate of the proposed model are higher than other algorithms, and the performance is the best. (2) The significance p values of the features included in the test are all less than 0.001. …”

XGBoost algorithm training process. by Huijun Chen (148680)

“…The results show that: (1) the accuracy and recall rate of the proposed model are higher than other algorithms, and the performance is the best. (2) The significance p values of the features included in the test are all less than 0.001. …”

Comparison of the performance of four algorithms. by Huijun Chen (148680)

“…The results show that: (1) the accuracy and recall rate of the proposed model are higher than other algorithms, and the performance is the best. (2) The significance p values of the features included in the test are all less than 0.001. …”

uOT compared to . by Daniel Bedoya (13139364)

Optimal Timings Codebook.xlsx by Emma Spillane (11249121)

Analysis and design of algorithms for the manufacturing process of integrated circuits by Sonia Fleytas (16856403)

“…The (approximate) solution proposals of state-of-the-art methods include rule-based approaches, genetic algorithms, and reinforcement learning. …”

Optimal Time Intervals of Breech Births Dataset by Emma Spillane (11249121)

Data_Sheet_2_Assessing the impact of forest structure disturbances on the arboreal movement and energetics of orangutans—An agent-based modeling approach.PDF by Kirana Widyastuti (13848250)

“…Moreover, it demonstrates the suitability of high-performance computing to optimize the calibration of complex agent-based models describing animal behavior at a fine spatio-temporal scale (1-m and 1-s granularity).…”

Data_Sheet_1_Assessing the impact of forest structure disturbances on the arboreal movement and energetics of orangutans—An agent-based modeling approach.pdf by Kirana Widyastuti (13848250)

“…Moreover, it demonstrates the suitability of high-performance computing to optimize the calibration of complex agent-based models describing animal behavior at a fine spatio-temporal scale (1-m and 1-s granularity).…”

Data_Sheet_2_Assessing the impact of forest structure disturbances on the arboreal movement and energetics of orangutans—An agent-based modeling approach.PDF by Kirana Widyastuti (13848250)

“…Moreover, it demonstrates the suitability of high-performance computing to optimize the calibration of complex agent-based models describing animal behavior at a fine spatio-temporal scale (1-m and 1-s granularity).…”

Data_Sheet_1_Assessing the impact of forest structure disturbances on the arboreal movement and energetics of orangutans—An agent-based modeling approach.pdf by Kirana Widyastuti (13848250)

“…Moreover, it demonstrates the suitability of high-performance computing to optimize the calibration of complex agent-based models describing animal behavior at a fine spatio-temporal scale (1-m and 1-s granularity).…”

Table 1_Neural network-based method for measuring the impacts of epileptic brain activities on cardiac cycles.docx by Cândida H. L. Alves (21838364)

“…The advantage of this approach over heart rate variability analysis is the detection of brain activity before changes in heart rate occur. In addition, using variance, skewness, and kurtosis centered on the median allowed us to achieve 100% sensitivity, specificity, and accuracy in our analyses, even using less complex algorithms, due to selecting these optimal characteristics. …”

Human expert versus automated processing: Running dataset. by Keenon Werling (17512156)

Marketing model based on data mining. by Huijun Chen (148680)

“…The results show that: (1) the accuracy and recall rate of the proposed model are higher than other algorithms, and the performance is the best. (2) The significance p values of the features included in the test are all less than 0.001. …”

Symmetry test result. by Jiyong Moon (16819302)