Effects of Nash equilibrium speed changes with the non-sensory motor algorithm on encounters, agent numbers, and payoffs. by Hiroyuki Ichijo (13891153)

Streamfunction calculated by QA with different with different grid resolutions Streamfunction averaged over 10 runs from QA (shading) and the “true” solution (black contour lines)... by Takuro Matsuta (21608505)

Subjects: “…currently available algorithms…”

QA and SA solutions by truncated spectral expansion when by Takuro Matsuta (21608505)

Subjects: “…currently available algorithms…”

Streamfunction calculated by SA with different hyperparameters. by Takuro Matsuta (21608505)

Subjects: “…currently available algorithms…”

QA and SA solutions by truncated spectral expansion when by Takuro Matsuta (21608505)

Subjects: “…currently available algorithms…”

Schematics for graph embedding. by Takuro Matsuta (21608505)

Subjects: “…currently available algorithms…”

SA solutions using a series of spins without iteration. by Takuro Matsuta (21608505)

Subjects: “…currently available algorithms…”

Schematics of SA and QA procedure. by Takuro Matsuta (21608505)

Subjects: “…currently available algorithms…”

QA solutions using a series of spins without iteration. by Takuro Matsuta (21608505)

Subjects: “…currently available algorithms…”

Example of a typical workflow to construct a network using NeKo. by Marco Ruscone (11747264)

Gradient Boosting Trees Machine Learning Approach to Predict the Mutation Types in CaSR. by Aylin Bircan (20176049)

Ablation Experiment_. by Cheng-jie Chen (22272090)

“…On the basis of the Retinex model, multi-level decomposition of brightness is carried out, and different filtering parameters are set to obtain multiple illumination and reflection images with different scale information; Using exponential function and Sigmoid function to process reflection images and illumination images separately, reducing external interference on images of different scales, and solving the difficulty of enhancing images with uneven illumination, high noise, low illumination, and loss of details. …”

Image Clarity Processing Flow. by Cheng-jie Chen (22272090)

“…On the basis of the Retinex model, multi-level decomposition of brightness is carried out, and different filtering parameters are set to obtain multiple illumination and reflection images with different scale information; Using exponential function and Sigmoid function to process reflection images and illumination images separately, reducing external interference on images of different scales, and solving the difficulty of enhancing images with uneven illumination, high noise, low illumination, and loss of details. …”

Sample of product appearance design images. by Cheng-jie Chen (22272090)

“…On the basis of the Retinex model, multi-level decomposition of brightness is carried out, and different filtering parameters are set to obtain multiple illumination and reflection images with different scale information; Using exponential function and Sigmoid function to process reflection images and illumination images separately, reducing external interference on images of different scales, and solving the difficulty of enhancing images with uneven illumination, high noise, low illumination, and loss of details. …”

A) Probability density of glucuronate-UDP as a function of three collective variables (CVs): the distance between the C6 atom of the sugar and the atom of Lys307, defined as <i>d</... by Davide Luciano (22822210)

Comparative analysis of WordNet replacement impact on data distribution. by Enock Niyonkuru (21246879)

LBQANA python code + Merged Gene Expression Dataset from GSE10810, GSE17907, GSE20711, GSE42568, GSE45827, and GSE61304 for Breast Cancer Biomarker Discovery by M RN (9866504)

Dataset of networks used in assessing the Troika algorithm for clique partitioning and community detection by Samin Aref (4683934)

“…Each network is provided in .gml format or .pkl format which can be read into a networkX graph object using standard functions from the networkX library in Python. For accessing other networks used in the study, please refer to the article for references to the primary sources of those network data.…”

Fig 7 - by Susana Conde (5495675)

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. …”