{"product_id":"deep-learning-techniques-for-automation-and-industrial-applications-hardback-9781394234240","title":"Deep Learning Techniques for Automation and Industrial Applications (Hardback) 9781394234240","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eDeep Learning Techniques for Automation and Industrial Applications\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003ePramod Singh Rathore (Edited by), PS Rathore (Author), Sachin Ahuja (Edited by), Srinivasa Rao Burri (Edited by), Ajay Khunteta (Edited by), Anupam Baliyan (Edited by), Abhishek Kumar (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394234240, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 1 July 2024\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e288 pages\u003cbr\u003e22.9 x 15.2 x 1.9 cm, 1.515 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eThis book provides state-of-the-art approaches to deep learning in areas of detection and prediction, as well as future framework development, building service systems and analytical aspects in which artificial neural networks, fuzzy logic, genetic algorithms, and hybrid mechanisms are used.\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eDeep learning algorithms and techniques are found to be useful in various areas, such as automatic machine translation, automatic handwriting generation, visual recognition, fraud detection, and detecting developmental delays in children. “Deep Learning Techniques for Automation and Industrial Applications” presents a concise introduction to the recent advances in this field of artificial intelligence (AI). The broad-ranging discussion covers the algorithms and applications in AI, reasoning, machine learning, neural networks, reinforcement learning, and their applications in various domains like agriculture, manufacturing, and healthcare. Applying deep learning techniques or algorithms successfully in these areas requires a concerted effort, fostering integrative research between experts from diverse disciplines from data science to visualization. \u003c\/p\u003e\n\u003cp\u003eThis book provides state-of-the-art approaches to deep learning covering detection and prediction, as well as future framework development, building service systems, and analytical aspects. For all these topics, various approaches to deep learning, such as artificial neural networks, fuzzy logic, genetic algorithms, and hybrid mechanisms, are explained. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eAudience\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eThe book will be useful to researchers and industry engineers working in information technology, data analytics network security, and manufacturing. Graduate and upper-level undergraduate students in advanced modeling and simulation courses will find this book very useful.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xiii\u003c\/p\u003e \u003cp\u003e1 Text Extraction from Images Using Tesseract 1\u003cbr\u003e\u003ci\u003eSantosh Kumar, Nilesh Kumar Sharma, Mridul Sharma and Nikita Agrawal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2 Chili Leaf Classification Using Deep Learning Techniques 19\u003cbr\u003e\u003ci\u003eChenchupalli Chathurya, Diksha Sachdeva and Mamta Arora\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3 Fruit Leaf Classification Using Transfer Learning Techniques 31\u003cbr\u003e\u003ci\u003eTaha Siddiqui, Surbhit Chopra and Mamta Arora\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4 Classification of University of California (UC), Merced Land-Use Dataset Remote Sensing Images Using Pre-Trained Deep Learning Models 45\u003cbr\u003e\u003ci\u003eAbhishek Maurya, Akashdeep and Rohit Kumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5 Sarcastic and Phony Contents Detection in Social Media Hindi Tweets 69\u003cbr\u003e\u003ci\u003eSurbhi Sharma and Nisheeth Joshi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6 Removal of Haze from Synthetic and Real Scenes Using Deep Learning and Other AI Techniques 85\u003cbr\u003e\u003ci\u003ePushpa Koranga, Ravindra Singh Koranga, Sumitra Singar and Sandeep Gupta\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7 HOG and Haar Feature Extraction-Based Security System for Face Detection and Counting 99\u003cbr\u003e\u003ci\u003ePrachi Soni and Viplav Soni\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8 A Comparative Analysis of Different CNN Models for Spatial Domain Steganalysis 109\u003cbr\u003e\u003ci\u003eAnkita Gupta, Rita Chhikara and Prabha Sharma\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9 Making Invisible Bluewater Visible Using Machine and Deep Learning Techniques--A Review 129\u003cbr\u003e\u003ci\u003eDineshkumar Singh and Vishnu Sharma\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10 Fruit Leaf Classification Using Transfer Learning for Automation and Industrial Applications 151\u003cbr\u003e\u003ci\u003eInam Ul Haq, Gursimran Kaur and Adil Husain Rather\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11 Green AI: Carbon-Footprint Decoupling System 179\u003cbr\u003e\u003ci\u003eBindiya Jain and Shikha Sharma\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12 Review of State-of-Art Techniques for Political Polarization from Social Media Network 199\u003cbr\u003e\u003ci\u003eAkshita Bhatnagar and B.K. Sharma\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13 Collaborative Design and Case Analysis of Mobile Shopping Apps: A Deep Learning Approach 223\u003cbr\u003e\u003ci\u003eSantosh Kumar, Vipul Jain, Abhishek Bairwa and Pradeep Saharan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14 Exploring the Potential of Machine Learning and Deep Learning for COVID-19 Detection 235\u003cbr\u003e\u003ci\u003eSaimul Bashir, Faisal Firdous and Syed Zoofa Rufai\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eReferences 253\u003c\/p\u003e \u003cp\u003eIndex 257\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Computer science [\u003ca title=\"See our other books on Computer science\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Computer%20science%20%5BUY%5D%22\"\u003eUY\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Scrivener","offers":[{"title":"Brand New","offer_id":52433222435096,"sku":"9781394234240","price":144.19,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781394234240.jpg?v=1784852105","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/deep-learning-techniques-for-automation-and-industrial-applications-hardback-9781394234240","provider":"Freshly Printed Books","version":"1.0","type":"link"}