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Machine intelligence, big data analytics, and IoT in image processing : practical applications /
MACHINE INTELLIGENCE, BIG DATA ANALYTICS, AND IoT IN IMAGE PROCESSING Discusses both theoretical and practical aspects of how to harness advanced technologies to develop practical applications such as drone-based surveillance, smart transportation, healthcare, farming solutions, and robotics used in...
| Clasificación: | Libro Electrónico |
|---|---|
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken, NJ : Beverly, MA :
Wiley ; Scrivener Publishing,
2023.
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| Colección: | Advances in intelligent and scientific computing
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 050 | 4 | |a Q325.5 |b .M33 2023 | |
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| 049 | |a UAMI | ||
| 245 | 0 | 0 | |a Machine intelligence, big data analytics, and IoT in image processing : |b practical applications / |c edited by Ashok Kumar [and more]. |
| 264 | 1 | |a Hoboken, NJ : |b Wiley ; |a Beverly, MA : |b Scrivener Publishing, |c 2023. | |
| 264 | 4 | |c ©2023 | |
| 300 | |a 1 online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 490 | 0 | |a Advances in intelligent and scientific computing | |
| 505 | 0 | |a DEMYSTIFYING SMART HEALTHCARE. Deep Learning Techniques Using Transfer Learning for Classification of Alzheimer's Disease / Monika Sethi, Sachin Ahuja, Puneet Bawa -- Medical Image Analysis of Lung Cancer CT Scans Using Deep Learning with Swarm Optimization Techniques / Debnath Bhattacharyya, E Stephen Neal Joshua, N Thirupathi Rao -- Liver Cancer Classification With Using Gray-Level Co-Occurrence Matrix Using Deep Learning Techniques / Debnath Bhattacharyya, E Stephen Neal Joshua, N Thirupathi Rao -- Transforming the Technologies for Resilient and Digital Future During COVID-19 Pandemic / Garima Kohli, Kumar Gourav -- PLANT PATHOLOGY. Plant Pathology Detection Using Deep Learning / V Sangeeta, Appala S Muttipati, Brahmaji Godi -- Smart Irrigation and Cultivation Recommendation System for Precision Agriculture Driven by IoT / N Marline Joys Kumari, N Thirupathi Rao, Debnath Bhattacharyya -- Machine Learning-Based Hybrid Model for Wheat Yield Prediction / Haneet Kour, Vaishali Pandith, Jatinder Manhas, Vinod Sharma -- A Status Quo of Machine Learning Algorithms in Smart Agricultural Systems Employing IoT-Based WSN / Abhishek Bhola, Suraj Srivastava, Ajit Noonia, Bhisham Sharma, Sushil Kumar Narang -- SMART CITY AND VILLAGES. Impact of Data Pre-Processing in Information Retrieval for Data Analytics / Huma Naz, Sachin Ahuja, Rahul Nijhawan, Neelu Jyothi Ahuja -- Cloud Computing Security, Risk, and Challenges / Anurag Sinha, N K Singh, Ayushman Srivastava, Sagorika Sen, Samarth Sinha -- Internet of Drone Things / Prachi Dahiya -- Computer Vision-Oriented Gesture Recognition System for Real-Time ISL Prediction / Mukul Joshi, Gayatri Valluri, Jyoti Rawat, Kriti -- Recent Advances in Intelligent Transportation Systems in India / Elamurugan Balasundaram, Cailassame Nedunchezhian, Mathiazhagan Arumugam, Vinoth Asaikannu -- Evolutionary Approaches in Navigation Systems for Road Transportation System / Noopur Tyagi, Jaiteg Singh, Saravjeet Singh -- IoT-Based Smart Parking System for Indian Smart Cities / E Fantin Irudaya Raj, M Appadurai, M Chithamabara Thanu, E Francy Irudaya Rani -- Security of Smart Home Solution Based on Secure Piggybacked Key Exchange Mechanism / Jatin Arora, Saravjeet Singh -- Machine Learning Models in Prediction of Strength Parameters of FRP-Wrapped RC Beams / Aman Kumar, Harish Chandra Arora, Nishant Raj Kapoor, Ashok Kumar -- Prediction of Indoor Air Quality Using Artificial Intelligence / Nishant Raj Kapoor, Ashok Kumar, Anuj Kumar, Aman Kumar, Harish Chandra Arora. | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | |a Description based on online resource; title from digital title page (viewed on February 21, 2023). | ||
| 520 | |a MACHINE INTELLIGENCE, BIG DATA ANALYTICS, AND IoT IN IMAGE PROCESSING Discusses both theoretical and practical aspects of how to harness advanced technologies to develop practical applications such as drone-based surveillance, smart transportation, healthcare, farming solutions, and robotics used in automation. The concepts of machine intelligence, big data analytics, and the Internet of Things (IoT) continue to improve our lives through various cutting-edge applications such as disease detection in real-time, crop yield prediction, smart parking, and so forth. The transformative effects of these technologies are life-changing because they play an important role in demystifying smart healthcare, plant pathology, and smart city/village planning, design and development. This book presents a cross-disciplinary perspective on the practical applications of machine intelligence, big data analytics, and IoT by compiling cutting-edge research and insights from researchers, academicians, and practitioners worldwide. It identifies and discusses various advanced technologies, such as artificial intelligence, machine learning, IoT, image processing, network security, cloud computing, and sensors, to provide effective solutions to the lifestyle challenges faced by humankind. Machine Intelligence, Big Data Analytics, and IoT in Image Processing is a significant addition to the body of knowledge on practical applications emerging from machine intelligence, big data analytics, and IoT. The chapters deal with specific areas of applications of these technologies. This deliberate choice of covering a diversity of fields was to emphasize the applications of these technologies in almost every contemporary aspect of real life to assist working in different sectors by understanding and exploiting the strategic opportunities offered by these technologies. Audience The book will be of interest to a range of researchers and scientists in artificial intelligence who work on practical applications using machine learning, big data analytics, natural language processing, pattern recognition, and IoT by analyzing images. Software developers, industry specialists, and policymakers in medicine, agriculture, smart cities development, transportation, etc. will find this book exceedingly useful. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Internet of things. | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 6 | |a Données volumineuses. | |
| 650 | 6 | |a Internet des objets. | |
| 650 | 7 | |a Big data |2 fast | |
| 650 | 7 | |a Internet of things |2 fast | |
| 650 | 7 | |a Machine learning |2 fast | |
| 776 | 0 | 8 | |i Print version: |z 1119865042 |z 9781119865049 |w (OCoLC)1342249614 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781119865049/?ar |z Texto completo (Requiere registro previo con correo institucional) |
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| 938 | |a EBSCOhost |b EBSC |n 3546875 | ||
| 994 | |a 92 |b IZTAP | ||