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Eric Maugendre<p><span class="h-card" translate="no"><a href="https://a.gup.pe/u/data" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>data</span></a></span> <span class="h-card" translate="no"><a href="https://a.gup.pe/u/datadon" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>datadon</span></a></span> 🧵</p><p>How to assess a statistical model?<br>How to choose between variables?</p><p>Pearson's <a href="https://hachyderm.io/tags/correlation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>correlation</span></a> is irrelevant if you suspect that the relationship is not a straight line.</p><p>If monotonic relationship:<br>"<a href="https://hachyderm.io/tags/Spearman" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Spearman</span></a>’s rho is particularly useful for small samples where weak correlations are expected, as it can detect subtle monotonic trends." It is "widespread across disciplines where the measurement precision is not guaranteed".<br>"<a href="https://hachyderm.io/tags/Kendall" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Kendall</span></a>’s Tau-b is less affected [than Spearman’s rho] by outliers in the data, making it a robust option for datasets with extreme values."<br>Ref: <a href="https://statisticseasily.com/kendall-tau-b-vs-spearman/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">statisticseasily.com/kendall-t</span><span class="invisible">au-b-vs-spearman/</span></a></p><p><a href="https://hachyderm.io/tags/normality" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>normality</span></a> <a href="https://hachyderm.io/tags/normalDistribution" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>normalDistribution</span></a> <a href="https://hachyderm.io/tags/modeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modeling</span></a> <a href="https://hachyderm.io/tags/dataDev" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataDev</span></a> <a href="https://hachyderm.io/tags/AIDev" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIDev</span></a> <a href="https://hachyderm.io/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ML</span></a> <a href="https://hachyderm.io/tags/modelEvaluation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modelEvaluation</span></a> <a href="https://hachyderm.io/tags/regression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>regression</span></a> <a href="https://hachyderm.io/tags/modelling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modelling</span></a> <a href="https://hachyderm.io/tags/dataLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataLearning</span></a> <a href="https://hachyderm.io/tags/featureEngineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>featureEngineering</span></a> <a href="https://hachyderm.io/tags/linearRegression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>linearRegression</span></a> <a href="https://hachyderm.io/tags/modeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modeling</span></a> <a href="https://hachyderm.io/tags/probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>probability</span></a> <a href="https://hachyderm.io/tags/probabilities" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>probabilities</span></a> <a href="https://hachyderm.io/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a> <a href="https://hachyderm.io/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stats</span></a> <a href="https://hachyderm.io/tags/correctionRatio" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>correctionRatio</span></a> <a href="https://hachyderm.io/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ML</span></a> <a href="https://hachyderm.io/tags/Pearson" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pearson</span></a> <a href="https://hachyderm.io/tags/bias" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bias</span></a> <a href="https://hachyderm.io/tags/regressionRedress" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>regressionRedress</span></a> <a href="https://hachyderm.io/tags/distributions" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>distributions</span></a></p>
Eric Maugendre<p>Enteric Fermentation in 2022</p><p>Livestock digestion emits too much methane:<br>* Too many bovines in India, Pakistan, Brazil, United States, China;<br>* Too many sheep and pigs in China.</p><p>(The bubble sizes depend on the amount of methane sent in 2022.)</p><p><a href="https://hachyderm.io/tags/GreenhouseForcing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GreenhouseForcing</span></a> <a href="https://hachyderm.io/tags/methane" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>methane</span></a> <a href="https://hachyderm.io/tags/emissions" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>emissions</span></a> <a href="https://hachyderm.io/tags/climateChange" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>climateChange</span></a> <a href="https://hachyderm.io/tags/climateBreakdown" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>climateBreakdown</span></a> <a href="https://hachyderm.io/tags/climateCollapse" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>climateCollapse</span></a> <a href="https://hachyderm.io/tags/dataViz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataViz</span></a> <a href="https://hachyderm.io/tags/bubbleChart" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bubbleChart</span></a> <a href="https://hachyderm.io/tags/dataMining" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataMining</span></a> <a href="https://hachyderm.io/tags/plotly" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>plotly</span></a> <a href="https://hachyderm.io/tags/featureEngineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>featureEngineering</span></a> <a href="https://hachyderm.io/tags/featureSelection" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>featureSelection</span></a> <a href="https://hachyderm.io/tags/dataDon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataDon</span></a></p>
Eric Maugendre<p>"Feature importance helps in understanding which features contribute most to the prediction"</p><p>A few lines with <a href="https://hachyderm.io/tags/sklearn" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sklearn</span></a>: <a href="https://mljourney.com/sklearn-linear-regression-feature-importance/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">mljourney.com/sklearn-linear-r</span><span class="invisible">egression-feature-importance/</span></a> </p><p><a href="https://hachyderm.io/tags/interpretability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>interpretability</span></a> <a href="https://hachyderm.io/tags/explainability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>explainability</span></a> <a href="https://hachyderm.io/tags/AIethics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIethics</span></a> <a href="https://hachyderm.io/tags/compliance" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>compliance</span></a> <a href="https://hachyderm.io/tags/taxonomy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>taxonomy</span></a> <a href="https://hachyderm.io/tags/ethicalAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ethicalAI</span></a> <a href="https://hachyderm.io/tags/AIevaluation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIevaluation</span></a> <a href="https://hachyderm.io/tags/linearRegression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>linearRegression</span></a> <a href="https://hachyderm.io/tags/featureEngineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>featureEngineering</span></a></p>
Carlton Gibson 🇪🇺<p><span class="h-card" translate="no"><a href="https://hachyderm.io/@amcasari" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>amcasari</span></a></span> it arrived! Preface starts strongly! </p><p>I’ll toot comments at <a href="https://fosstodon.org/tags/FeatureEngineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FeatureEngineering</span></a> so as not to annoy you.</p>
Madame Pres commandasaurus 🦖<p>Anyone hoping for an immediately useful book about this new direction is going to be disappointed by Alice and my corny jokes and pragmatic approach to statistical inference.</p><p><a href="https://hachyderm.io/tags/FeatureEngineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FeatureEngineering</span></a> <a href="https://hachyderm.io/tags/SuperbOwlBook" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SuperbOwlBook</span></a></p>
Emil Hvitfeldt<p>I'm beyond excited to finally announce my new book "Feature Engineering A-Z" 🎉</p><p>The vision for the book is to be a comprehensive collection of feature engineering methods. Describing how they work, when and why you should and shouldn't use it. Code snippets in both R and Python!</p><p>I have been working on this project over the last couple of years. Please read it if this interests you! Always looking for feedback!</p><p><a href="https://feaz-book.com/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">feaz-book.com/</span><span class="invisible"></span></a><br><a href="https://fosstodon.org/tags/featureEngineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>featureEngineering</span></a> <a href="https://fosstodon.org/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rstats</span></a> <a href="https://fosstodon.org/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://fosstodon.org/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a></p>
Carl Gold, PhD<p><a href="https://sigmoid.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> <a href="https://sigmoid.social/tags/livestream" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>livestream</span></a> Going Live Now : <a href="https://sigmoid.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a> <a href="https://sigmoid.social/tags/featureengineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>featureengineering</span></a> for <a href="https://sigmoid.social/tags/saas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>saas</span></a> and <a href="https://sigmoid.social/tags/subscription" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>subscription</span></a> products - Based on Fighting <a href="https://sigmoid.social/tags/Churn" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Churn</span></a> With <a href="https://sigmoid.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data</span></a>, Manning Publications Co. </p><p><a href="https://www.twitch.tv/carl24k_datascience" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">twitch.tv/carl24k_datascience</span><span class="invisible"></span></a></p>
Carl Gold, PhD<p>Join me Tomorrow Saturday Jan 27th, 11 Pacific for a <a href="https://sigmoid.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> <a href="https://sigmoid.social/tags/livestream" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>livestream</span></a> on <a href="https://sigmoid.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a> <a href="https://sigmoid.social/tags/featureengineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>featureengineering</span></a> for <a href="https://sigmoid.social/tags/saas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>saas</span></a> and <a href="https://sigmoid.social/tags/subscription" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>subscription</span></a> products - Based on Fighting <a href="https://sigmoid.social/tags/Churn" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Churn</span></a> With <a href="https://sigmoid.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data</span></a>, Manning Publications Co. </p><p><a href="https://www.twitch.tv/carl24k_datascience" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">twitch.tv/carl24k_datascience</span><span class="invisible"></span></a></p>
Carl Gold, PhD<p>Saturday Jan 27th, 11 Pacific : <a href="https://sigmoid.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> <a href="https://sigmoid.social/tags/livestream" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>livestream</span></a> on <a href="https://sigmoid.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a> <a href="https://sigmoid.social/tags/featureengineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>featureengineering</span></a> for <a href="https://sigmoid.social/tags/saas" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>saas</span></a> and <a href="https://sigmoid.social/tags/subscription" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>subscription</span></a> products - Based on Fighting <a href="https://sigmoid.social/tags/Churn" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Churn</span></a> With <a href="https://sigmoid.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data</span></a>, <span class="h-card" translate="no"><a href="https://techhub.social/@ManningPublications" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>ManningPublications</span></a></span> </p><p><a href="https://www.twitch.tv/carl24k_datascience" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">twitch.tv/carl24k_datascience</span><span class="invisible"></span></a></p>
Carl Gold, PhD<p>Learn about <a href="https://sigmoid.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a> <a href="https://sigmoid.social/tags/featureengineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>featureengineering</span></a> with customer <a href="https://sigmoid.social/tags/subscription" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>subscription</span></a> <a href="https://sigmoid.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data</span></a> - Join me on a <a href="https://sigmoid.social/tags/livestream" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>livestream</span></a> this Saturday Jan. 6 - 11 AM Pacific / 2 PM Eastern. Please boost and join me then! <a href="https://www.twitch.tv/carl24k_datascience" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">twitch.tv/carl24k_datascience</span><span class="invisible"></span></a></p>
Carl Gold, PhD<p>You can master <a href="https://sigmoid.social/tags/featureengineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>featureengineering</span></a> with <a href="https://sigmoid.social/tags/SQL" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SQL</span></a> - Join me for <a href="https://sigmoid.social/tags/livestream" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>livestream</span></a> <a href="https://sigmoid.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> and <a href="https://sigmoid.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a> TOMORROW Sat. 2-Dec. at 2:00PM eastern - Fighting <a href="https://sigmoid.social/tags/churn" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>churn</span></a> with Data <a href="https://sigmoid.social/tags/masterclass" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>masterclass</span></a> continues! Please boost this post and join me! <a href="https://www.twitch.tv/carl24k_datascience" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">twitch.tv/carl24k_datascience</span><span class="invisible"></span></a></p>
Carl Gold, PhD<p>Learn all about event based <a href="https://sigmoid.social/tags/featureengineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>featureengineering</span></a> with <a href="https://sigmoid.social/tags/SQL" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SQL</span></a>: <a href="https://sigmoid.social/tags/livestream" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>livestream</span></a> <a href="https://sigmoid.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> this Saturday 2-December at 11:00AM pacific - Fighting <a href="https://sigmoid.social/tags/churn" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>churn</span></a> with <a href="https://sigmoid.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>datascience</span></a> <a href="https://sigmoid.social/tags/masterclass" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>masterclass</span></a> continues! <a href="https://www.twitch.tv/carl24k_datascience" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">twitch.tv/carl24k_datascience</span><span class="invisible"></span></a></p>
InfoQ<p><a href="https://techhub.social/tags/CaseStudy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CaseStudy</span></a> – find out how <a href="https://techhub.social/tags/Airbnb" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Airbnb</span></a> boosts productivity &amp; scalability by transforming raw data into features for training &amp; inference.</p><p>Meet <a href="https://techhub.social/tags/Chronon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Chronon</span></a> - a declarative <a href="https://techhub.social/tags/FeatureEngineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FeatureEngineering</span></a> framework: <a href="https://bit.ly/3OAUJNE" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="">bit.ly/3OAUJNE</span><span class="invisible"></span></a> </p><p><a href="https://techhub.social/tags/InfoQ" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>InfoQ</span></a> <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://techhub.social/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ML</span></a> <a href="https://techhub.social/tags/Phyton" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Phyton</span></a> <a href="https://techhub.social/tags/MLOps" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MLOps</span></a></p>
katch wreck<p>`It is considered a non-linear approach as the mapping cannot be represented as a linear combination of the original variables as possible in techniques such as principal component analysis, which also makes it more difficult to use for classification applications` </p><p><a href="https://en.wikipedia.org/wiki/Sammon_mapping" rel="nofollow noopener" target="_blank"><span class="invisible">https://</span><span class="ellipsis">en.wikipedia.org/wiki/Sammon_m</span><span class="invisible">apping</span></a></p><p><a href="https://mastodon.social/tags/machineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machineLearning</span></a> <a href="https://mastodon.social/tags/clustering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>clustering</span></a> <a href="https://mastodon.social/tags/classification" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>classification</span></a> <a href="https://mastodon.social/tags/featureExtraction" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>featureExtraction</span></a> <a href="https://mastodon.social/tags/featureEngineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>featureEngineering</span></a> <a href="https://mastodon.social/tags/featureSelection" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>featureSelection</span></a> <a href="https://mastodon.social/tags/featureRanking" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>featureRanking</span></a> <a href="https://mastodon.social/tags/dimensionalityReduction" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dimensionalityReduction</span></a> <a href="https://mastodon.social/tags/nonlinear" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>nonlinear</span></a></p>
Eugene Yan<p>Awesome sharing by Nikhil Simha on Chronon, Airbnb's feature engineering framework! We had &gt; 80 people joining and ~30 great questions on Slido.</p><p>Thanks to Chip Huyen for hosting and Ammar Asmro running it behind the scenes!</p><p>RSVP for future meetups here: <a href="https://www.meetup.com/ml-meetups-virtual/" rel="nofollow noopener" target="_blank"><span class="invisible">https://www.</span><span class="">meetup.com/ml-meetups-virtual/</span><span class="invisible"></span></a></p><p><a href="https://recsys.social/tags/featureengineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>featureengineering</span></a> <a href="https://recsys.social/tags/meetup" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>meetup</span></a></p>
Marcin Paprzycki<p>Presenting <a href="https://masto.ai/tags/featureengineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>featureengineering</span></a> and post-processing steps for improving FedCSIS 2022 <a href="https://masto.ai/tags/Challenge" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Challenge</span></a> results: “Key Factors to Consider when Predicting the Costs of Forwarding Contracts” by QH Vu, L. Cen, D. Ruta, M. Liu. @FedCSIS<br> 2022, ACSIS Vol. 30 p. 447–450; <a href="http://tinyurl.com/2c4jvd92" rel="nofollow noopener" target="_blank"><span class="invisible">http://</span><span class="">tinyurl.com/2c4jvd92</span><span class="invisible"></span></a></p>
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