The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

The pseudo-code of the WOA-LSTM-PID model. by Dayu Zhang (710629)

Coding schematic. by Dongyan Wang (195482)

Chromosome coding. by Junjie He (700642)

IKM Pseudo – code. by Yingbo Mao (22522192)

Pseudo Code of RBMO. by Chenyi Zhu (9383370)

Testcases and code. by Min Tian (438923)

Pseudo-code for the study design model. by Jianpeng Zhang (528185)

GA pseudo-code. by Jianpeng Zhang (528185)

GuacaMol: Benchmarking Models for de Novo Molecular Design by Nathan Brown (421008)

“…However, the new models have not been profiled on consistent tasks, and comparative studies to well-established algorithms have only seldom been performed. …”

GuacaMol: Benchmarking Models for de Novo Molecular Design by Nathan Brown (421008)

“…However, the new models have not been profiled on consistent tasks, and comparative studies to well-established algorithms have only seldom been performed. …”

Stimuli to test the coherency threshold for surround suppression. by Elnaz Nemati (21402730)

Data_Sheet_1_Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn.pdf by Alper Yegenoglu (12659710)

Data_Sheet_1_Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn.pdf by Alper Yegenoglu (12659710)

The loss function of network structures, LPC-DNN, LPC-PCA-DNN, LPC-LSTM, LPC-PCA-LSTM, MFCC-DNN, MFCC-PCA-DNN, MFCC-LSTM and MFCC-PCA-LSTM, as the epoch increases. by Cihun-Siyong Alex Gong (11874066)

Training Code Smell Detection Models with Cross-Project Information: An Empirical Assessment by Manuel De Stefano (8634399)

“…In this paper, we propose an empirical study on the matter. Focusing on three code smell types, i.e., Blob, Complex Class, and Spaghetti Code, whose data are collected from a manually built dataset of 15 open-source projects, we address three main research angles:</div><div>(1) How a cross-project training strategy affects the performance of code smell detection models with respect to a within-project strategy; (2) What is the impact of filtering techniques, which have the goal of only selecting the</div><div>relevant data from external sources to avoid issues due to data heterogeneity; and (3) How the application of local learning affects the performance of the models. …”

Presentation1_Power Minimization Using Rate Splitting With Statistical CSI in Cloud-Radio Access Networks.pdf by Alaa Alameer Ahmad (11398415)

Application of Optimized Deep Learning Mechanism for Recognition and Categorization of Retinal Diseases by dhafer Alhajim (18558925)

Processed Dataset for “Modeling and Optimization of a Mixed-Model Two-Sided Assembly Line Balancing Problem Considering a Workstation-Sharing Mechanism” by Lingling Hu (22555691)

“…It can be utilized to reproduce the case study and experiments in the paper or to benchmark future optimization algorithms addressing mixed-model two-sided line balancing problems.…”

Electroassisted Core-Spun Triboelectric Nanogenerator Fabrics for IntelliSense and Artificial Intelligence Perception by Chao Ye (765248)

“…With these experimental and algorithmic optimizations, we finally used SC-TENG yarn to identify the type of materials in real-time. …”