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

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

Optimal Channel Encoding/Decoding Algorithm Design with MATLAB حسب 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.…"

eICU test results. حسب Wei Liao (166135)

"…<div><p>Recent work in machine learning for healthcare has raised concerns about patient privacy and algorithmic fairness. Previous work has shown that self-reported race can be predicted from medical data that does not explicitly contain racial information. …"

Predictive factors affecting hepatitis patients survival results via application of the machine learning methods حسب Xiaohua Li (311008)

"…Chronic B and C increase failure risk. Machine learning models help predict hepatitis risks using patient data, symptoms, and history. …"

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

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

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

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

Table 1_A novel lossless encoding algorithm for data compression–genomics data as an exemplar.xlsx حسب Anas Al-okaily (20601458)

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

Table 5_A novel lossless encoding algorithm for data compression–genomics data as an exemplar.xlsx حسب Anas Al-okaily (20601458)

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

Table 6_A novel lossless encoding algorithm for data compression–genomics data as an exemplar.xlsx حسب Anas Al-okaily (20601458)

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

Machine learning algorithms hyperparameter values. حسب Mahbub E. Sobhani (22278967)

The performance matrix of different machine learning algorithms. حسب Ahmad M. Al-Omari (20460931)

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

Computational Domain: The computational domain was discretized using conformal tetrahedral elements, resulting in a total of 926K elements. حسب Martina Bukač (20161460)

WGCNA and machine learning algorithms. حسب Shushu Wang (6870191)

Performance of the machine learning algorithms. حسب Novel Chandra Das (19742953)

"…We developed and interpreted machine-learning (ML) models to predict hypertension and rank associated factors among married women with the goal of informing targeted screening and policy in low-resource settings.…"

Performance of the machine learning algorithms. حسب Novel Chandra Das (19742953)

"…We developed and interpreted machine-learning (ML) models to predict hypertension and rank associated factors among married women with the goal of informing targeted screening and policy in low-resource settings.…"

Table 6_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx حسب Anjan Kumar Pradhan (9386369)

"…Three genes such as Zm00001eb176680, Zm00001eb176940, and Zm00001eb179190 expressed as bZIP transcription factor 68, glycine-rich cell wall structural protein 2, and aldehyde dehydrogenase 11 (ALDH11), respectively were commonly predicted as top-most candidates between abiotic stress and combined stresses and were identified from a weighted gene co-expression network as the hub genes in the brown module. However, only one gene Zm00001eb038720 encoding RNA-binding protein AU-1/Ribonuclease E/G, predicted by the PLSDA algorithm, was found commonly expressed under both biotic and abiotic stress. …"