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

Federated averaging algorithm. by Yan Qin (118276)

Comparative results with existing representative algorithms. by Yan Qin (118276)

Hair removal preprocessing using the DullRazor algorithm before image generation. by Mujung Kim (22367223)

The comparison of results from the proposed architecture and state-of-the-art algorithms on the UNSW-B15, NSL-KDD and KDDCUP’99 dataset. by Abdullah Asım Yılmaz (20715311)

Decompression algorithm for the proposed HSCRC encoding. by R. Sakthivel (2589547)

LSTM auto encoder algorithm illustration. by Hao Zhang (15339)

Optimal Channel Encoding/Decoding Algorithm Design with MATLAB by Saraf Mohaimen Chowdhury (21977243)

“…<p dir="ltr">An optimal channel encoding and decoding algorithm has been designed and implemented in MATLAB to improve data transmission efficiency and adaptability in communication systems.…”

Evolution of GA-LSTM training errors across epochs. by Nasir Nauman (22272299)

Subjects:

CNOT encoded features and CZ encoded features. by Danish ul Khairi (19660534)

“…The experimental results align with the theoretical analysis: the CZ-based NNQEv2 model, when compared to the CNOT-based NNQEv1, consistently showed more stable training dynamics and yielded tighter confidence intervals in cross-validation. …”

The method for determining the chemical constituents of unknown materials in the algorithm. by Dong Hyeok Choi (12562048)

Training and Testing Set for HRDsig Algorithm Development. by Wenshu Li (762627)

Performance of algorithms outside the training species. by Sven B. Gould (12237287)

Characteristics of training algorithms. by Tuan Anh Nguyen (121944)

“…<div><p>Data training algorithms based on Artificial Intelligence (AI) often encounter overfitting, underfitting, or bias issues. …”

Training algorithm flow. by Xing Chen (140292)

“…To address the issue of discrete missing data in cardiac disease, this paper proposes the AGAN (Attribute Generative Adversarial Nets) architecture for missing data filling, based on generative adversarial networks. This algorithm takes advantage of the strong learning ability of generative adversarial networks. …”

Data Sheet 1_A novel lossless encoding algorithm for data compression–genomics data as an exemplar.pdf by Anas Al-okaily (20601458)

“…In this study, a novel encoding algorithm is proposed, motivated by the compression of DNA data and associated characteristics. …”

Illustration of the training algorithm for the sPHMM. by Tianshu Li (1527088)

Table 2_A novel lossless encoding algorithm for data compression–genomics data as an exemplar.xlsx by Anas Al-okaily (20601458)

“…In this study, a novel encoding algorithm is proposed, motivated by the compression of DNA data and associated characteristics. …”

Table 4_A novel lossless encoding algorithm for data compression–genomics data as an exemplar.xlsx by Anas Al-okaily (20601458)

“…In this study, a novel encoding algorithm is proposed, motivated by the compression of DNA data and associated characteristics. …”

Table 3_A novel lossless encoding algorithm for data compression–genomics data as an exemplar.xlsx by Anas Al-okaily (20601458)

“…In this study, a novel encoding algorithm is proposed, motivated by the compression of DNA data and associated characteristics. …”