{"id":1851,"date":"2026-06-05T20:52:26","date_gmt":"2026-06-05T20:52:26","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=1851"},"modified":"2026-10-06T15:28:31","modified_gmt":"2026-10-06T15:28:31","slug":"vol24-no1","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol24-no1\/","title":{"rendered":"Learning &#038; Nonlinear Models &#8211; L&#038;NLM &#8211; Volume 24 &#8211; N\u00famero 1"},"content":{"rendered":"<p><a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2026\/12\/vol24-no1-art0.pdf\" target=\"_blank\" rel=\"noopener\">Cover<\/a><\/p>\n<p><a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol24-no1\/vol24-no1-art1\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-size: large;\">Energy Efficiency in Human Activity Recognition on Smartphones with Adaptive Sampling and Deep Learning Models with Early Exits<\/span><\/a><\/p>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>Marcel Franco de Oliveira, Alessandro Copetti, Roberto Pacheco, Lauro A. G. Sampaio &amp; Luciano Bertini<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol24-no1\/vol24-no1-art2\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-size: large;\">Data Labeling with Local and Global Consistency Using Phylograms<\/span><\/a><\/p>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>Breno Caetano da Silva, Jorge Luiz Franco, Hermes Manoel Galv\u00e3o Castelo Branco &amp; Alexandre Claudio Botazzo Delbem<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol24-no1\/vol24-no1-art3\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-size: large;\">Using Temporal Convolutional Autoencoders for Sound-Based Fault Detection in Industrial Machinery<\/span><\/a><\/p>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>Igor Cassimiro Assun\u00e7\u00e3o, Rodrigo de Paula Monteiro, Andrea Maria Nogueira Cavalcanti Ribeiro &amp; Diego Marconi Pinheiro Ferreira Silva<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol24-no1\/vol24-no1-art4\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-size: large;\">Modelling, Estimation and Control for an Up-flow Anaerobic Sludge Blanket Reactor Treating Blackwater Towards Resource Recovery<\/span><\/a><\/p>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>Antonio Felype Ferreira Maciel, Otacilio Bezerra Leite Neto, Michela Mulas &amp; Hamse Kjerstadius<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol24-no1\/vol24-no1-art5\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-size: large;\">Footstep Identification on Pressure Sensitive Mat through Convolutional Neural Networks<\/span><\/a><\/p>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>Nat\u00e1lia Soares Gir\u00e3o, M\u00e1rcia Muller &amp; L\u00facia Val\u00e9ria Arruda<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>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 &amp; Luciano Bertini Data Labeling with Local and Global <a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol24-no1\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":23,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1851","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Learning &amp; Nonlinear Models - L&amp;NLM - Volume 24 - N\u00famero 1 - Learning and NonLinear Models<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol24-no1\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Learning &amp; Nonlinear Models - L&amp;NLM - Volume 24 - N\u00famero 1 - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"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. 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Sampaio &amp; Luciano Bertini Data Labeling with Local and Global Read More ...\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol24-no1\/\" \/>\n<meta property=\"og:site_name\" content=\"Learning and NonLinear Models\" \/>\n<meta property=\"article:modified_time\" content=\"2026-10-06T15:28:31+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. tempo de leitura\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minuto\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol24-no1\/\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol24-no1\/\",\"name\":\"Learning & Nonlinear Models - L&NLM - Volume 24 - N\u00famero 1 - Learning and NonLinear Models\",\"isPartOf\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#website\"},\"datePublished\":\"2026-06-05T20:52:26+00:00\",\"dateModified\":\"2026-10-06T15:28:31+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol24-no1\/#breadcrumb\"},\"inLanguage\":\"pt-BR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol24-no1\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol24-no1\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Browse issues\",\"item\":\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Learning &#038; Nonlinear Models &#8211; L&#038;NLM &#8211; Volume 24 &#8211; N\u00famero 1\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#website\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/\",\"name\":\"Learning and NonLinear Models\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/sbia.org.br\/lnlm\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"pt-BR\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#organization\",\"name\":\"Learning and NonLinear Models\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"pt-BR\",\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2021\/07\/logo-lnlm.png\",\"contentUrl\":\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2021\/07\/logo-lnlm.png\",\"width\":398,\"height\":94,\"caption\":\"Learning and NonLinear Models\"},\"image\":{\"@id\":\"https:\/\/sbia.org.br\/lnlm\/#\/schema\/logo\/image\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Learning & Nonlinear Models - L&NLM - Volume 24 - N\u00famero 1 - Learning and NonLinear Models","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol24-no1\/","og_locale":"pt_BR","og_type":"article","og_title":"Learning & Nonlinear Models - L&NLM - Volume 24 - N\u00famero 1 - Learning and NonLinear Models","og_description":"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. 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