Comparison of different optimization algorithms. by Hang Zhao (143592)

Subjects: “…crayfish optimization algorithm…”

ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

The run time for each algorithm in seconds. by Edward Antonian (21453161)

“…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …”

Datasets for Development of Machine Learning Models in Blue Hydrogen Production Process by William George Davies (21661315)

Schematic diagram of the experimental algorithm. by Ronghua Meng (20978441)

“…Second, the egg carrier structure is designed, the material properties are analysed, and key parameters such as deformation are simulated by SolidWorks and Ansys Workbench. Finite element and fatigue analyses are carried out for the key parameters of the structure, and deformation, fatigue and other data that appear in the actual operation process are obtained. …”

The pseudocode of the RFE algorithm. by Zuzhen Ji (17593348)

Hyperparameters of self-supervised learning algorithms used in Experiments 1–5. by Lalit Pandey (13195488)

The steps of applying RF algorithm. by Zuzhen Ji (17593348)

<i>Wolfset: A High-Quality Underwater Acoustic Dataset for Algorithm Development and Analysis</i> by Nuno Pessanha Santos (7381244)

“…<p dir="ltr">As data becomes increasingly available, relying on quality datasets for algorithm analysis and development is essential. …”

Energy consumption in the PPO process. by Yunhu Huang (21402795)

“…In this paper, expert knowledge is combined with deep reinforcement learning algorithm (Proximal Policy Optimization, PPO) and two enhanced intelligent train operation algorithms (EITO) are proposed. …”

Running time in the PPO process. by Yunhu Huang (21402795)

“…In this paper, expert knowledge is combined with deep reinforcement learning algorithm (Proximal Policy Optimization, PPO) and two enhanced intelligent train operation algorithms (EITO) are proposed. …”

The actual training effect of four algorithms on original photo data (All images are original images taken by the author). by Xiaojun Wang (50332)

Proposed hybrid GA- ML algorithms. by Ankur Kumar (1357440)

Subjects:

Proposed GA-ML algorithms pseudocode. by Ankur Kumar (1357440)

Subjects:

Control process flowchart. by Hongjun Meng (5031806)

“…The proposed soft actuator model was validated, and the effectiveness of the proposed optimized algorithm was evaluated. Experimental results demonstrated that the application of the soft control model and the control parameter optimization algorithm reduced tracking angle errors by more than 50%, resulting in improved control accuracy and greater stability.…”

Results of RF algorithm screening factors. by Jintao Li (448681)

Video 1_Learning-based control for tendon-driven continuum robotic arms.mp4 by Nima Maghooli (21710783)

Subjects: “…Artificial Intelligence and Image Processing…”

PID controller parameters optimization process. by Hongjun Meng (5031806)

“…The proposed soft actuator model was validated, and the effectiveness of the proposed optimized algorithm was evaluated. Experimental results demonstrated that the application of the soft control model and the control parameter optimization algorithm reduced tracking angle errors by more than 50%, resulting in improved control accuracy and greater stability.…”

Algorithm process. by Wei Cui (92129)

Node coding process. by Jun Zhao (59250)

“…<div><p>As the global construction industry develops, prefabricated buildings are gradually emerging and widely used. …”