Folder with all data and algorithms by Jorge Servert Lerdo de Tejada (22290001)

The machine learning framework implemented in the present work. by Akshansh Mishra (21001499)

Machine learning prediction algorithm flow chart. by Ahmad M. Al-Omari (20460931)

Summary of the feature selection algorithms. by Martin Kostadinov (20410120)

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. …”

Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”

Spatial spectrum estimation for three algorithms. by Chuanxi Xing (20141665)

“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”

Elements: Kingfisher: Storage Management for Data Federations (CSSI PI Meeting 2025) by Brian Bockelman (5128082)

The structure diagram of the BS-CP algorithm. by Jiaqi Liu (309587)

“…We first present the BS-CP1 algorithm, which is an efficient implementation using assumed density filtering (ADF). …”

Flowchart of the implemented Pareto optimization algorithm. by Vytautas Abromavičius (22008573)

SCADET algorithm parameter configuration (Python implementation). by Xiaolong Zhang (470454)

Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

“…These classification algorithms often requires conversion of a medical data to another space in which the original data is reduced to important values or moments. …”

File includes code "Transfer learning.R" and "updatebeta.cpp" for implementing transfer learning methods. by Lulu Pan (8977979)

Comparison of PDOP values between the present algorithm and the conventional algorithm at 1/4 r/s. by Jiahui Gan (22793753)

Decision Tree plot obtained in the present work. by Akshansh Mishra (21001499)

“…Eight regression algorithms were implemented for SML modeling, while four PINNs leveraged governing equations for transport, wave propagation, heat transfer, and quantum mechanics. …”

Comparison of the quantity of stars accessible for localization at 1/4 r/s between the presented algorithm and the conventional algorithm. by Jiahui Gan (22793753)

Presents the comparison of various density based algorithms. by Shahneela Pitafi (20454775)

Extracting Residue Solvent Exposure from Covalent Labeling Data with Machine Learning: A Hybrid Approach for Protein Structure Prediction by Elijah H. Day (21396836)

Subjects:

Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional by Ryan Stocks (16867476)

“…Kohn–Sham density functional theory (KS-DFT) has become a cornerstone for studying the electronic structure of molecules and materials. Improving algorithmic efficiency through hardware-aware implementations enables application to larger systems and more efficient generation of larger training data sets for machine-learning. …”

Comparison of city decoders trained on session one and session two data. by Sam Hall-McMaster (10343795)

Subjects: