1.0Learning and NonLinear Modelshttps://sbia.org.br/lnlmsbicbrhttps://sbia.org.br/lnlm/author/sbicbr/rich600338<blockquote class="wp-embedded-content" data-secret="5jqbXP4qxb"><a href="https://sbia.org.br/lnlm/publicacoes/vol24-no1/">Learning & Nonlinear Models – L&NLM – Volume 24 – Número 1</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://sbia.org.br/lnlm/publicacoes/vol24-no1/embed/#?secret=5jqbXP4qxb" width="600" height="338" title="“Learning & Nonlinear Models – L&NLM – Volume 24 – Número 1” — Learning and NonLinear Models" data-secret="5jqbXP4qxb" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script> /*! This file is auto-generated */ !function(d,l){"use strict";l.querySelector&&d.addEventListener&&"undefined"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!/[^a-zA-Z0-9]/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret="'+t.secret+'"]'),o=l.querySelectorAll('blockquote[data-secret="'+t.secret+'"]'),c=new RegExp("^https?:$","i"),i=0;i<o.length;i++)o[i].style.display="none";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute("style"),"height"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):"link"===t.message&&(r=new URL(s.getAttribute("src")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener("message",d.wp.receiveEmbedMessage,!1),l.addEventListener("DOMContentLoaded",function(){for(var e,t,s=l.querySelectorAll("iframe.wp-embedded-content"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute("data-secret"))||(t=Math.random().toString(36).substring(2,12),e.src+="#?secret="+t,e.setAttribute("data-secret",t)),e.contentWindow.postMessage({message:"ready",secret:t},"*")},!1)))}(window,document); //# sourceURL=https://sbia.org.br/lnlm/wp-includes/js/wp-embed.min.js </script> Cover Energy Efficiency in Human Activity Recognition on Smartphones with Adaptive Sampling and Deep Learning Models with Early Exits Marcel Franco de Oliveira, Alessandro Copetti, Roberto Pacheco, Lauro A. G. Sampaio & Luciano Bertini