Energy consumption at each joint for different methods. by Hedyeh Jafari (9667127)

Hip versus ankle joints torque for different methods. by Hedyeh Jafari (9667127)

Phase portraits comparison of the mentioned methods for the ankle joint. by Hedyeh Jafari (9667127)

Phase portraits comparison of the mentioned methods for the hip joint. by Hedyeh Jafari (9667127)

Illustration of two joints dynamical model of the human body in standing position. by Hedyeh Jafari (9667127)

Evolution of changing weights in the optimization of the MPC controller. by Hedyeh Jafari (9667127)

The algorithm for the same-day surgery protocol. by Magnus Tveit (11442200)

Table_1_Integrated Evolutionary Learning: An Artificial Intelligence Approach to Joint Learning of Features and Hyperparameters for Optimized, Explainable Machine Learning.DOCX by Nina de Lacy (6559520)

“…IEL may be applied to a wide range of less- or unconstrained discovery science problems where the practitioner wishes to jointly learn features and hyperparameters in an adaptive, principled manner within the same algorithmic process. …”

Table_2_Integrated Evolutionary Learning: An Artificial Intelligence Approach to Joint Learning of Features and Hyperparameters for Optimized, Explainable Machine Learning.DOCX by Nina de Lacy (6559520)

“…IEL may be applied to a wide range of less- or unconstrained discovery science problems where the practitioner wishes to jointly learn features and hyperparameters in an adaptive, principled manner within the same algorithmic process. …”

Evolution of changing the COP distance error’s weight (<i>α</i>) inCOP-BC controller. by Hedyeh Jafari (9667127)

Evolution of changing controllers gain in IPD controller. by Hedyeh Jafari (9667127)

Controllers gains. by Hedyeh Jafari (9667127)

“…In this article, we studied the methods based on optimization algorithms that can mimic the performance of the postural sway controller in the upright stance. …”

Parameters bounds and limitations. by Hedyeh Jafari (9667127)

“…In this article, we studied the methods based on optimization algorithms that can mimic the performance of the postural sway controller in the upright stance. …”

Body characteristics. by Hedyeh Jafari (9667127)

“…In this article, we studied the methods based on optimization algorithms that can mimic the performance of the postural sway controller in the upright stance. …”

Table1_Fine tuning a logical model of cancer cells to predict drug synergies: combining manual curation and automated parameterization.DOCX by Åsmund Flobak (789984)

“…We now demonstrate how automated adjustments of model topology and logic equations both can greatly reduce the workload traditionally associated with logical model optimization. Our methodology allows the exploration of larger model ensembles that all obey a set of observations, while being less restrained for parts of the model where parameterization is not guided by biological data. …”

Scalable Model-Free Feature Screening via Sliced-Wasserstein Dependency by Tao Li (86810)

Data_Sheet_1_Muscles Reduce Neuronal Information Load: Quantification of Control Effort in Biological vs. Robotic Pointing and Walking.PDF by Daniel F. B. Haeufle (5831594)

“…We therefore propose a novel algorithm based on the pattern search approach specifically designed to solve this constraint optimization problem. …”

Data_Sheet_2_Muscles Reduce Neuronal Information Load: Quantification of Control Effort in Biological vs. Robotic Pointing and Walking.pdf by Daniel F. B. Haeufle (5831594)

“…We therefore propose a novel algorithm based on the pattern search approach specifically designed to solve this constraint optimization problem. …”

A Four-Wavelength Photoplethysmography dataset for non-invasive hemoglobin assessment by Liang yongbo (4822017)

“…（<b>2023</b>）<a href="https://www.frontiersin.org/articles/10.3389/fphys.2023.1072273/full" target="_blank"><b>Link</b></a></p><p dir="ltr">[3] <b>Yongbo Liang</b>, Shimin Yin, Qunfeng Tang, Zhenyu Zheng, Mohamed Elgendi* and Zhencheng Chen*. Deep Learning Algorithm Classifies Heartbeat Events Based on Electrocardiogram Signals. …”