Decoding process. by Jihui Hu (19812736)

“…It incorporates a decay function to facilitate an adaptive iterative process, enhancing the algorithm’s convergence properties. …”

Levels of input parameters. by Jihui Hu (19812736)

“…It incorporates a decay function to facilitate an adaptive iterative process, enhancing the algorithm’s convergence properties. …”

Tuned values of parameters. by Jihui Hu (19812736)

“…It incorporates a decay function to facilitate an adaptive iterative process, enhancing the algorithm’s convergence properties. …”

Time-sharing tariff. by Jihui Hu (19812736)

“…It incorporates a decay function to facilitate an adaptive iterative process, enhancing the algorithm’s convergence properties. …”

Workflow of our study to evaluate the performance of GNNs compared to benchmark algorithms. by Daniel Walke (21680915)

Comparison of MAP@0.5 results from experiments. by Junyan Wang (4738518)

“…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …”

Bangdiwala’s agreement charts for item 18 (A), 19 (B) and 22 (C) comparing item scores between the Paper-based support and the Tablet. by Dominique Vincent-Genod (20552594)

Robotic Prototype with Human Mimicry Abilities - 104 Algorithms (RPHMA^104a): Toward an Integrative Computational-Robotic Theory of Very Complex Skills by Maicon S. Aliaga Machado (20468810)

“…The system is stratified in five ascending levels of algorithmic complexity, from HMS-1 to HMS-5, culminating in the simulation of "Very Complex Skills". …”

Subject characteristics. by Dominique Vincent-Genod (20552594)

“…<div><p>Among the 32 items of the Motor Function Measure scale, 3 concern the assessment of hand function on a paper-based support. …”

Research data. by Dominique Vincent-Genod (20552594)

“…<div><p>Among the 32 items of the Motor Function Measure scale, 3 concern the assessment of hand function on a paper-based support. …”

Loss function curves for the training. by Xuhui Liu (546025)

Effect of post-processing threshold and algorithms performance on the communities abundance-structure estimation. by Valentine Fleuré (12822137)

“…<p>Estimation of abundance-structure as a function of post-processing threshold for 45 automated analysis models resulting from 9 detection models, with their respective recall (“det_recall” – columns) and precision (“det_prec” – rows) performances and 5 classification models (accuracy (“cla_acc”) as colors) for 1 frame per second processing rate. …”

Optimization process of fitness function . by Yuehong Zhang (82779)

Possible graph filter functions. by Edward Antonian (21453161)

“…<div><p>In this paper, we study a class of non-parametric regression models for predicting graph signals as a function of explanatory variables . Recently, Kernel Graph Regression (KGR) and Gaussian Processes over Graph (GPoG) have emerged as promising techniques for this task. …”

Synthetic Realness: Authenticity as Algorithm (Reality Drift Working Paper Series, 2025) by Reality Drift Working Papers Series 2020-2025 (22445446)

“…<p dir="ltr">This paper explores the concept of synthetic realness: how authenticity is increasingly engineered by algorithms until the line between real and fake becomes functionally irrelevant. …”

Datasets to figures in "Thinning algorithms for the Monte Carlo simulation of kinetic Ising models" by Vasyl Tokar (22491653)

“…The thinning is implemented using piecewise constant majorizing functions that bound from above or are equal to the NHPP rate. …”

Ethics of algorithmic invasiveness in beauty apps: an online experimental survey of public perspectives by Yves Saint James Aquino (12311423)

“…Results show that functionalities with high degree of algorithmic invasiveness, such as AI-generated attractiveness rankings, are viewed as significantly less socially acceptable than less invasive functionalities. …”

EITO_P with flexible trip time. by Yunhu Huang (21402795)

“…On the basis of EITO_E, we propose EITO_P algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …”

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

“…On the basis of EITO_E, we propose EITO_P algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …”

Speed limits. by Yunhu Huang (21402795)

“…On the basis of EITO_E, we propose EITO_P algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …”