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

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

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

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

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

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COP validation of measured experimental data of a random subject in the data set with the result of the generated COP of each method for the total time of the prediction. by Hedyeh Jafari (9667127)

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

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Controllers gains. by Hedyeh Jafari (9667127)

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

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Parameters bounds and limitations. by Hedyeh Jafari (9667127)

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PSD comparison of measured experimental data of a random subject in the data set and the mentioned methods. by Hedyeh Jafari (9667127)

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Body characteristics. by Hedyeh Jafari (9667127)

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Wrapper-based feature selection methods. by Xiaohua Zeng (793632)

Synopsis Presentation by ZAR BAKHT IMTIAZ (8180682)

“…We are going to propose a multi objective community detection technique based on chance constrained optimization which requires less parameter tuning and gives higher accuracy. …”

Genetic algorithm meta-parameters. by Larasmoyo Nugroho (18078260)

“…<div><p>The PbGA-DDPG algorithm, which uses a potential-based GA-optimized reward shaping function, is a versatiledeep reinforcement learning/DRLagent that can control a vehicle in a complex environment without prior knowledge. …”

The entity relationship of DDPG algorithm. by Larasmoyo Nugroho (18078260)

“…<div><p>The PbGA-DDPG algorithm, which uses a potential-based GA-optimized reward shaping function, is a versatiledeep reinforcement learning/DRLagent that can control a vehicle in a complex environment without prior knowledge. …”

uOT compared to . by Daniel Bedoya (13139364)

Data Sheet 1_Robust multi-objective optimization framework for performance-based seismic design of steel frame with energy dissipation system.docx by Yuting Cheng (11954209)

“…However, optimizing seismic retrofits involves complex trade-offs and requires explicit consideration of design robustness against uncertainties. …”

Proposed architecture of our research. by Md Junayed Hossain (22615268)

“…However, traditional regression models, such as Random Forest and Linear Regression, face challenges in capturing the complex, nonlinear relationships within image data, leading to less accurate predictions. …”

Image processing steps applied in our research. by Md Junayed Hossain (22615268)

“…However, traditional regression models, such as Random Forest and Linear Regression, face challenges in capturing the complex, nonlinear relationships within image data, leading to less accurate predictions. …”