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The book presents advances and reviews across transfer learning for location-independent WiFi sensing, lightweight mobile crop-disease detection, optimized spiking neural networks for ECG classification, and deep-learning image methods for COVID-19 diagnosis. It further covers SVM-based breathing signal recognition, dynamic visual SLAM overview, milk freshness analysis, off-road semantic segmentation datasets, thermography with deep learning for high-voltage equipment, and related indexing material.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/frontiers-in-machine-learning-and-signal-processing/290228/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/frontiers-in-machine-learning-and-signal-processing/290228.png","ImageObject",300,407,{"name":92,"@type":93},"Finn","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-22","2026-09-17",true,{"@type":102,"interactionType":103,"userInteractionCount":52},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What major topics does the book cover?","Question",{"text":112,"@type":113},"The book covers machine learning and deep learning methods for sensing and signal understanding, including WiFi sensing, crop disease detection, ECG classification, COVID-19 diagnosis, breathing signal recognition, visual SLAM, milk freshness analysis, semantic segmentation, and thermography analysis for high-voltage equipment.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How does the book approach problem solving across different chapters?",{"text":117,"@type":113},"It combines domain adaptation and transfer learning, lightweight mobile modeling, optimized spiking neural networks, deep learning for image-based diagnosis, and SVM-based signal recognition, alongside dataset development and literature review chapters.",{"name":119,"@type":110,"acceptedAnswer":120},"Who is the intended readership of the volume?",{"text":121,"@type":113},"The book targets researchers, practitioners, and enthusiasts seeking practical applications and insights into recent developments in machine learning and signal processing.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},290228,1789641015,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":52,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":24,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":129,"read_time":143,"preview_page_count":4},34359740700684,"https://ap-avatar.wpscdn.com/avatar/1f400023980c374ae676?_k=1777273430885731487","FRONTIERSIN  \nOMACHINE LEARNINGANDSIGNALPROCESSING  \nEditors  \nMUHAMMAD NOORAZLAN SHAH ZAINUDINNORHIDAYAH MOHAMAD YATIMZARINA MOHD NOH  \n◎Universiti Teknikal Malaysia MelakaISBN:978-629-7741-33-8  \nFIRST PUBLISHED 2025  \nAll rights reserved.No part of this publication may be reproduced,stored in aretrieval system,or transmitted,electronic,mechanical photocopying,recordingor otherwise,without the prior permission of the Penerbit UTeM Press,Universiti Teknikal Malaysia Melaka.  \nMember of the Malaysian Scholarly Publishing Council(MAPIM)Member of the Malaysian Book Publishers Association(MABOPA)Member of Clarivate Analytics  \nManuscript EditorRahizah Abdul Rahman  \nBook Cover Designer and TypesetterAhmad Masmuliyadi Mohd Yusof  \nPublished and Printed in Malaysia byPenerbit UTeM PressUniversiti Teknikal Malaysia Melaka  \nHang Tuah Jaya,76100 Durian Tunggal,Melaka,Malaysia.Phone:+6062701241 Fax:+6062701038  \nCataloguing-in-Pubication Data  \nPerpustakaan Negara Malaysia  \nA catalogue record for this book is availablerom the National Library of Malaysia  \nISBN 978-629-7741-33-8  \n\n|  | KA  \u003Cbr>UhrosfE       si松ex   |  |\n| --- | --- | --- |\n|  | ёа. ЭВауєпо  \u003Cbr>9723   | 4.8  \u003Cbr>Ns    m  \u003Cbr>9  \u003Cbr>2025  \u003Cbr>F76  \u003Cbr>325.5   |\n|  | Ta白  \u003Cbr>10 APR 2026   |  |\n\n144  \nCONTENTS  \n.—  \nPreface………………………………………………………………………………………………………………………………………vii  \nList of Contributors……………………………………………………………………………………………ix  \nIntroduction………………………………………………………………………………………………………………………………  \nChapter 1: Leveraging Transfer Learning Domain Adaptation  \nfor Location Independence Development of WiFi Sensing  \nFahd Saad Abuhoureyah, Wong Yan Chieu and Ahmad Sadhiqin  \nMohd Isira……………………………………………………………………………………………………………………………………1  \nChapter 2: A Review of Lightweight Mobile-Based Model  \nApplied for Crop Disease Detection  \nMurni Syafiqah Balqis Mohd Sukor, Syafeeza Ahmad Radzi ard  \nZarina Mohd Noh………………………………………………………………………………………………………………19  \nChapter 3: Enhancing ECG Signal Classification Through  \nOptimized Spiking Neural Networks: An Exploration of  \nSpike Encoding and Synaptic Plasticity  \nNor Analia Dayana Mohamad Noor,Wong Yan Chiew and  \nZarin Mohd Noh………………………………………………………………………………………………………33  \nChapter 4: Deep Learning Method for Image-Based  \nDiagnosed of Covid-19  \nNar Syuhnda Anir Hamzah,Ridza Azri Ramlee and  \nMasrullizam Maf Ibralim…………………………………………………………………………………………51  \nChapter 5:SVM-Driven Method for Breathing Signal  \nRecognition  \nNur Fafit Shazuni Nor Razman, Haslinah Mohd Nasir atd  \nSuraya Zainurddin……………………………………………………………………………………67  \nChapter 6: Overview of Deep Learning Model in Dynamic  \nVisual Slam Algorithm  \nTurki Khaled Al-Khulaqi, Norhidaynh Mohamad Yatim and Syafeeza  \nAhmad Radzi…………………………………………………………………………………………………………………………89  \nChapter 7: A Preliminary Analysis on Milk Freshness Via  \nNumerical Data  \nPuteri Nur Farzanah Faghira Kamarudin,Nik Mohd Zarifie  \nHashim and Masrullizam Mat Ibraltim…………………………………………………………………103  \nChapter 8: Semantic Segmentation Dataset of Off-Road  \nEnvironment Development Based on Bird's Eye Chilli  \nFertigation Farm  \nKhairul Muzzanmil Saipulah, Wira Hidayat Mohd Sand and  \nMuhammad Idzdihar Idris……………………………………………………………………………………………121  \nChapter 9: Literature Review:Thermography Analysis  \nwith Deep Learning in High Voltage Apparatus  \nMardzulliara Zulkifli,Ridza Azri Ramlee and Syafeeza Ahmad Radzi…147  \nIndex……………………………………………………………………………………………………………………………169  \n# FRONTIERS IN MACHINE LEARNING AND SIGNAL PROCESSING\n\nExplore innovations with Frontiers in Machine Learning and Signal Processing.\"This insightful olecion,gathered from the respected Postgraduate Research and Industrial Colloquium (PRICOL)2024 at UniversidiTeknikal Malaysia Melaka(UTeM),presents valuable research that is influencing industries from healthcare toagiculture.  \nEngage with diverse topics,including the implementation of machine learning and deep learning models inareas such as WiFi Sensing Enhancements,Crop Disease Detection,ECG Signal ","cbCaiqYI7k9AlKBq","https://ap.wps.com/l/cbCaiqYI7k9AlKBq","pdf",1302063,"English","# Preface\n## List of Contributors\n## Introduction\n# Chapter 1: Leveraging Transfer Learning Domain Adaptation for Location Independence Development of WiFi Sensing\n# Chapter 2: A Review of Lightweight Mobile-Based Model Applied for Crop Disease Detection\n# Chapter 3: Enhancing ECG Signal Classification Through Optimized Spiking Neural Networks: An Exploration of Spike Encoding and Synaptic Plasticity\n# Chapter 4: Deep Learning Method for Image-Based Diagnosed of Covid-19\n# Chapter 5: SVM-Driven Method for Breathing Signal Recognition\n# Chapter 6: Overview of Deep Learning Model in Dynamic Visual SLAM Algorithm\n# Chapter 7: A Preliminary Analysis on Milk Freshness Via Numerical Data\n# Chapter 8: Semantic Segmentation Dataset of Off-Road Environment Development Based on Bird's Eye Chilli Fertigation Farm\n# Chapter 9: Literature Review: Thermography Analysis with Deep Learning in High Voltage Apparatus\n# Index","[{\"question\":\"What major topics does the book cover?\",\"answer\":\"The book covers machine learning and deep learning methods for sensing and signal understanding, including WiFi sensing, crop disease detection, ECG classification, COVID-19 diagnosis, breathing signal recognition, visual SLAM, milk freshness analysis, semantic segmentation, and thermography analysis for high-voltage equipment.\"},{\"question\":\"How does the book approach problem solving across different chapters?\",\"answer\":\"It combines domain adaptation and transfer learning, lightweight mobile modeling, optimized spiking neural networks, deep learning for image-based diagnosis, and SVM-based signal recognition, alongside dataset development and literature review chapters.\"},{\"question\":\"Who is the intended readership of the volume?\",\"answer\":\"The book targets researchers, practitioners, and enthusiasts seeking practical applications and insights into recent developments in machine learning and signal processing.\"}]","Frontiers in Machine Learning and Signal Processing | PDF",13]