Technological Fitness and Coherence explanation. Schematic representation of the workings of the Fitness and Complexity algorithm and Coherence diversification. by Matteo Straccamore (15083799)

“…<p>In the top panel, we show the computation of the Fitness and Complexity algorithm. The Fitness of the entity <i>e</i>₁ is the technological Complexity sum of all the technology done by <i>e</i>₁. …”

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

Reverse engineering information flow using stimulus-encoding and stimulus-transfer estimation algorithms. by Gabriel Matías Lorenz (21094672)

Flowchart of the data-driven vs. the conventional approach. by Noam Omer (21402801)

“…The conventional approach, in contrast, relies on a simulated dictionary of single-T₂ decay curves, E, which does not consider the data itself. Both approaches then apply the same regularized nonnegative least square (rNNLS) fitting algorithm to locally deconvolve the signal in each voxel.…”

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

MRI-derived myelin water fraction (MWF) maps produced by the data-driven and conventional (non data-driven) approaches in a cuprizone-fed mouse and a healthy control mouse. by Noam Omer (21402801)

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.…”

Fitting flow of DAKM algorithm. by Xiaobing Chen (572034)

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Mean and standard deviation (SD) of MRI-derived myelin water fraction (MWF) values calculated using the data-driven mcT₂ approach and the conventional approach for the t... by Noam Omer (21402801)

MRI-derived MWF maps for six brain regions in cuprizone and control mice using data-driven and conventional approaches. by Noam Omer (21402801)

Mean and root mean square errors of DOA estimate. 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. …”

Mean and SD of MRI-derived myelin water fraction (MWF) values calculated using (a) data-driven approach, and (b) the conventional approach. by Noam Omer (21402801)

Comparison of average fitting errors for the three algorithms. by Xiaobing Chen (572034)

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Comparison results of prediction model with single algorithm and combination algorithm. by Jiayuan Wang (3765376)

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Comparison of experimental data from three different algorithms. by Xiaobing Chen (572034)

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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. …”

Fitness values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

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<b>Algorithmic Fitness: Fitness Influencers and Identity Construction on Tiktok</b><b> Data collection </b> by Taylor Caruso (22272823)

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. …”