Iot Enabled Convolutional Neural Networks Techniques And Applications

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IoT-enabled Convolutional Neural Networks: Techniques and Applications

Author : Mohd Naved
Publisher : CRC Press
ISBN 13 : 1000879690
Total Pages : 409 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis IoT-enabled Convolutional Neural Networks: Techniques and Applications by : Mohd Naved

Download or read book IoT-enabled Convolutional Neural Networks: Techniques and Applications written by Mohd Naved and published by CRC Press. This book was released on 2023-05-08 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: Convolutional neural networks (CNNs), a type of deep neural network that has become dominant in a variety of computer vision tasks, in recent years, CNNs have attracted interest across a variety of domains due to their high efficiency at extracting meaningful information from visual imagery. CNNs excel at a wide range of machine learning and deep learning tasks. As sensor-enabled internet of things (IoT) devices pervade every aspect of modern life, it is becoming increasingly critical to run CNN inference, a computationally intensive application, on resource-constrained devices. Through this edited volume, we aim to provide a structured presentation of CNN-enabled IoT applications in vision, speech, and natural language processing. This book discusses a variety of CNN techniques and applications, including but not limited to, IoT enabled CNN for speech denoising, a smart app for visually impaired people, disease detection, ECG signal analysis, weather monitoring, texture analysis, etc. Unlike other books on the market, this book covers the tools, techniques, and challenges associated with the implementation of CNN algorithms, computation time, and the complexity associated with reasoning and modelling various types of data. We have included CNNs' current research trends and future directions.

Artificial Neural Networks for IoT-Enabled Smart Applications

Author : Andrei Velichko
Publisher :
ISBN 13 : 9783036584294
Total Pages : 0 pages
Book Rating : 4.5/5 (842 download)

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Book Synopsis Artificial Neural Networks for IoT-Enabled Smart Applications by : Andrei Velichko

Download or read book Artificial Neural Networks for IoT-Enabled Smart Applications written by Andrei Velichko and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the age of neural networks and the Internet of Things (IoT), the search for new neural network architectures capable of operating on devices with limited computing power and small memory size is becoming an urgent agenda. This reprint focuses on recent developments in the organization of artificial intelligence (AI) on edge devices for various IoT-enabled smart applications and starts with the illustration of achievements in smart healthcare services. Digitalization of healthcare driven by the IoT and AI leads to the effective use of sensors, enabling various parameters of the human body to be instantly tracked and processed in daily life. The concept of machine learning sensors is applied to the diagnosis of COVID-19 as an IoT application in healthcare and ambient assisted living. Wearable sensors and IoT-enabled technologies also look promising for monitoring motor activity and gait in Parkinson's disease patients. IoT devices with AI can be effectively used in speech recognition and environmental monitoring, for detecting distracting actions in driver activities and for lifesaving applications such as child drowning prevention systems. Smart disaster rescue is an interesting development of a wearable device for search dogs that recognizes the behavior of a dog when a victim is found, using deep learning models. This reprint illustrates advanced cases of using AI technology for IoT-enabled smart applications.

AI Applications for Business, Medical, and Agricultural Sustainability

Author : Naim, Arshi
Publisher : IGI Global
ISBN 13 :
Total Pages : 339 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis AI Applications for Business, Medical, and Agricultural Sustainability by : Naim, Arshi

Download or read book AI Applications for Business, Medical, and Agricultural Sustainability written by Naim, Arshi and published by IGI Global. This book was released on 2024-03-07 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: Climate change, natural resource depletion, and unsustainable agricultural practices pose unprecedented challenges to our planet. The increasing environmental footprint of computer networks, communication systems, and other IT infrastructures exacerbates these issues, contributing significantly to energy consumption and greenhouse gas emissions. Without innovative solutions, these challenges will continue to escalate, threatening the sustainability of our planet for future generations. AI Applications for Business, Medical, and Agricultural Sustainability offers a comprehensive solution by harnessing the power of Artificial Intelligence (AI) and High-Performance Computing (HPC). This book is ideal for educators, environmentalists, industry professionals, researchers, and academics. By introducing new energy models, algorithms, and methodologies, the book provides a roadmap for developing next-generation computing and communication infrastructures that are environmentally sustainable.

Evaluating Global Accreditation Standards for Higher Education

Author : Naim, Arshi
Publisher : IGI Global
ISBN 13 :
Total Pages : 433 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Evaluating Global Accreditation Standards for Higher Education by : Naim, Arshi

Download or read book Evaluating Global Accreditation Standards for Higher Education written by Naim, Arshi and published by IGI Global. This book was released on 2024-04-22 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Higher education institutions must urgently overcome the difficulty of negotiating the complex web of international accreditation standards in a rapidly globalized world. Academic researchers, teachers, and administrators struggle with the intricacy of making sure their programs adhere to strict standards while still attempting to maintain their competitiveness on a global level. These organizations run the risk of stagnation and missing out on possibilities for advancement and recognition if there is no clear path forward. Evaluating Global Accreditation Standards for Higher Education, is a comprehensive guide for overcoming the modern accreditation conundrum. This invaluable resource equips academic scholars and professionals with the tools and knowledge they need to successfully navigate the accreditation process at both local and international levels. From program criteria and curriculum development to faculty professional development and alumni engagement, this book offers a roadmap to excellence. By following the expert guidance within these pages, institutions can unlock their potential, achieve accreditation, and gain the recognition they deserve.

Combatting Cyberbullying in Digital Media with Artificial Intelligence

Author : Mohamed Lahby
Publisher : CRC Press
ISBN 13 : 1003825036
Total Pages : 303 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Combatting Cyberbullying in Digital Media with Artificial Intelligence by : Mohamed Lahby

Download or read book Combatting Cyberbullying in Digital Media with Artificial Intelligence written by Mohamed Lahby and published by CRC Press. This book was released on 2023-12-13 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rapid advancements in mobile computing and communication technology and recent technological progress have opened up a plethora of opportunities. These advancements have expanded knowledge, facilitated global business, enhanced collaboration, and connected people through various digital media platforms. While these virtual platforms have provided new avenues for communication and self-expression, they also pose significant threats to our privacy. As a result, we must remain vigilant against the propagation of electronic violence through social networks. Cyberbullying has emerged as a particularly concerning form of online harassment and bullying, with instances of racism, terrorism, and various types of trolling becoming increasingly prevalent worldwide. Addressing the issue of cyberbullying to find effective solutions is a challenge for the web mining community, particularly within the realm of social media. In this context, artificial intelligence (AI) can serve as a valuable tool in combating the diverse manifestations of cyberbullying on the Internet and social networks. This book presents the latest cutting-edge research, theoretical methods, and novel applications in AI techniques to combat cyberbullying. Discussing new models, practical solutions, and technological advances related to detecting and analyzing cyberbullying is based on AI models and other related techniques. Furthermore, the book helps readers understand AI techniques to combat cyberbullying systematically and forthrightly, as well as future insights and the societal and technical aspects of natural language processing (NLP)-based cyberbullying research efforts. Key Features: Proposes new models, practical solutions and technological advances related to machine intelligence techniques for detecting cyberbullying across multiple social media platforms. Combines both theory and practice so that readers (beginners or experts) of this book can find both a description of the concepts and context related to the machine intelligence. Includes many case studies and applications of machine intelligence for combating cyberbullying.

AI-Assisted Special Education for Students With Exceptional Needs

Author : Kumar, Ashish
Publisher : IGI Global
ISBN 13 :
Total Pages : 351 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis AI-Assisted Special Education for Students With Exceptional Needs by : Kumar, Ashish

Download or read book AI-Assisted Special Education for Students With Exceptional Needs written by Kumar, Ashish and published by IGI Global. This book was released on 2023-10-02 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI-Assisted Special Education for Students With Exceptional Needs is a comprehensive and insightful exploration of the intersection between special education and artificial intelligence (AI). This book delves into the fundamental principles, historical background, and current challenges faced in providing effective education to students with special needs. It compares traditional education methods with special education practices and highlights the limitations of conventional classrooms in addressing the diverse learning difficulties of exceptional students. The book also explores the impact of AI-based special education on both educators and students, providing valuable insights and strategies for stakeholders to adopt and implement these technologies effectively. Legal aspects surrounding the right to education for disabled individuals are discussed, ensuring a comprehensive understanding of the legal framework supporting special education initiatives. Real-world case studies and success stories serve as inspiration, illustrating the transformative potential of AI in special education. Featuring contributions from academicians and professionals from esteemed organizations, this book provides hands-on chapters that cover topics such as research challenges, data analysis, machine learning, intelligent learning environments, IoT wearable devices, comprehensive systems with intelligent teacher assistance, parental and societal roles, and the prospects of AI-assisted special education. Whether educator, mentor, training professional, researcher, or student, AI-Assisted Special Education for Students With Exceptional Needs offers a wealth of knowledge and practical insights.

Global Applications of the Internet of Things in Digital Marketing

Author : Naim, Arshi
Publisher : IGI Global
ISBN 13 : 1668481685
Total Pages : 433 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Global Applications of the Internet of Things in Digital Marketing by : Naim, Arshi

Download or read book Global Applications of the Internet of Things in Digital Marketing written by Naim, Arshi and published by IGI Global. This book was released on 2023-05-23 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today’s modern world, it is essential for businesses to remain competitive and up to date on the latest technology that can support their processes. The use of the internet of things (IoT) in marketing, particularly in digital marketing, is an evolving field that requires further study to better understand its potential. Global Applications of the Internet of Things in Digital Marketing focuses on the applications of IoT in customizing content and developing a data-based marketing framework that helps marketers create different experiences in bridging the digital and physical world, develop a closer connection with the consumers, and provide highly contextual and tailored messages to consumers. Covering key topics such as brand image, social media, and website development, this premier reference source is ideal for business owners, managers, marketers, researchers, scholars, academicians, practitioners, instructors, and students.

Deep Learning for Internet of Things Infrastructure

Author : Uttam Ghosh
Publisher : CRC Press
ISBN 13 : 1000431959
Total Pages : 240 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Deep Learning for Internet of Things Infrastructure by : Uttam Ghosh

Download or read book Deep Learning for Internet of Things Infrastructure written by Uttam Ghosh and published by CRC Press. This book was released on 2021-09-30 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of deep learning (DL)–based data analytics of IoT (Internet of Things) infrastructures. Deep Learning for Internet of Things Infrastructure addresses emerging trends and issues on IoT systems and services across various application domains. The book investigates the challenges posed by the implementation of deep learning on IoT networking models and services. It provides fundamental theory, model, and methodology in interpreting, aggregating, processing, and analyzing data for intelligent DL-enabled IoT. The book also explores new functions and technologies to provide adaptive services and intelligent applications for different end users. FEATURES Promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of DL-based data analytics of IoT infrastructures Addresses emerging trends and issues on IoT systems and services across various application domains Investigates the challenges posed by the implementation of deep learning on IoT networking models and services Provides fundamental theory, model, and methodology in interpreting, aggregating, processing, and analyzing data for intelligent DL-enabled IoT Explores new functions and technologies to provide adaptive services and intelligent applications for different end users Uttam Ghosh is an Assistant Professor in the Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee, USA. Mamoun Alazab is an Associate Professor in the College of Engineering, IT and Environment at Charles Darwin University, Australia. Ali Kashif Bashir is a Senior Lecturer/Associate Professor and Program Leader of BSc (H) Computer Forensics and Security at the Department of Computing and Mathematics, Manchester Metropolitan University, United Kingdom. Al-Sakib Khan Pathan is an Adjunct Professor of Computer Science and Engineering at the Independent University, Bangladesh.

Harnessing High-Performance Computing and AI for Environmental Sustainability

Author : Naim, Arshi
Publisher : IGI Global
ISBN 13 :
Total Pages : 422 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Harnessing High-Performance Computing and AI for Environmental Sustainability by : Naim, Arshi

Download or read book Harnessing High-Performance Computing and AI for Environmental Sustainability written by Naim, Arshi and published by IGI Global. This book was released on 2024-05-15 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world is addressing the insistent challenge of climate change, and the need for innovative solutions has become paramount. In this period of technical developments, artificial intelligence (AI) has emerged as a powerful instrument with enormous prospects to combat climate change and other environmental subjects. AI's ability to process vast amounts of data, identify patterns, and make intelligent predictions offers unprecedented opportunities to tackle this global crisis. High-Performance Computing (HPC) or super-computing environments address these large and complex challenges with individual nodes (computers) working together in a cluster (connected group) to perform massive amounts of computing in a short period. Creating and removing these clusters is often automated in the cloud to reduce costs. Computer networks, communication systems, and other IT infrastructures have a growing environmental footprint due to significant energy consumption and greenhouse gas emissions. To address this seemingly self-defeating conundrum, and create a truly sustainable environment, new energy models, algorithms, methodologies, platforms, tools, and systems are required to support next-generation computing and communication infrastructures. Harnessing High-Performance Computing and AI for Environmental Sustainability navigates through AI-driven solutions from sustainable agriculture and land management to energy optimization and smart grids. It unveils how AI algorithms can analyze colossal datasets, offering unprecedented insights into climate modeling, weather prediction, and long-term climate trends. Integrating AI-powered optimization algorithms revolutionizes energy systems, propelling the transition towards a low-carbon future by reducing greenhouse gas emissions and enhancing efficiency. This book is ideal for educators, environmentalists, industry professionals, and researchers alike, and it explores the ethical dimensions and policies surrounding AI's contribution to environmental development.

Big Data, IoT, and Machine Learning

Author : Rashmi Agrawal
Publisher : CRC Press
ISBN 13 : 1000098281
Total Pages : 319 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Big Data, IoT, and Machine Learning by : Rashmi Agrawal

Download or read book Big Data, IoT, and Machine Learning written by Rashmi Agrawal and published by CRC Press. This book was released on 2020-09-01 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning. It also includes various real-time/offline applications and case studies in the fields of engineering, computer science, information security and cloud computing using modern tools. This book consists of two sections: Section I contains the topics related to Applications of Machine Learning, and Section II addresses issues about Big Data, the Cloud and the Internet of Things. This brings all the related technologies into a single source so that undergraduate and postgraduate students, researchers, academicians and people in industry can easily understand them. Features Addresses the complete data science technologies workflow Explores basic and high-level concepts and services as a manual for those in the industry and at the same time can help beginners to understand both basic and advanced aspects of machine learning Covers data processing and security solutions in IoT and Big Data applications Offers adaptive, robust, scalable and reliable applications to develop solutions for day-to-day problems Presents security issues and data migration techniques of NoSQL databases

Metaverse Applications for Intelligent Healthcare

Author : Gaur, Loveleen
Publisher : IGI Global
ISBN 13 : 1668498243
Total Pages : 422 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Metaverse Applications for Intelligent Healthcare by : Gaur, Loveleen

Download or read book Metaverse Applications for Intelligent Healthcare written by Gaur, Loveleen and published by IGI Global. This book was released on 2023-11-24 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Metaverse Applications for Intelligent Healthcare explores the exciting intersection of artificial intelligence (AI) and the metaverse in the field of healthcare. The use of AI technology in healthcare has already shown great potential in assisting with diagnosis, treatment, and patient care. The metaverse, with its immersive virtual environments, has the potential to revolutionize healthcare by making it more accessible, efficient, and personalized. This book introduces various applications of the metaverse in healthcare, including virtual consultations, remote patient monitoring, and virtual rehabilitation. The book discusses how the metaverse can be used to provide immersive experiences that empower patients and providers, while also offering unique learning opportunities. The book is ideal for researchers, practitioners, healthcare professionals, scholars, and students who are interested in exploring the cutting-edge technology of AI and the metaverse in healthcare. It offers insights into the future of healthcare, and how these technologies can be used to provide better care to patients. By combining the latest research in AI and the metaverse, this book provides a comprehensive overview of the potential applications of these technologies in healthcare.

Advanced Sensing in Image Processing and IoT

Author : Rashmi Gupta
Publisher : CRC Press
ISBN 13 : 1000543021
Total Pages : 380 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Advanced Sensing in Image Processing and IoT by : Rashmi Gupta

Download or read book Advanced Sensing in Image Processing and IoT written by Rashmi Gupta and published by CRC Press. This book was released on 2021-03-26 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides future research directions in IoT and image processing based Energy, Industry, and Healthcare domain and explores the different applications of its associated technologies. However, the Internet of Things and image processing is a very big field with a lot of subfields, which are very important such as Smart Homes to improve our daily life, Smart Cities to improve the citizens' life, Smart Towns to recover the livability and traditions, Smart Earth to protect our world, and Industrial Internet of Things to create safer and easier jobs. This book considers very important research areas in Energy, Industry, and Healthcare domain with IoT and image processing applications.The aim of the book to highlights future directions of optimization methods in various engineering and science applications in various IoT and image processing applications. Emphasis is given to deep learning and similar models of neural network-based learning techniques employed in solving optimization problems of different engineering and science applications. The role of AI in mechatronics is also highlighted using suitable optimization methods. This book considers very important research areas in Energy, Industry, and Healthcare. It addresses major issues and challenges in Energy, Industry, and Healthcare and solutions proposed for IoT-enabled cellular/computer networks, routing/communication protocols, surveillances applications, secured data management, and positioning approaches. It focuses mainly on smart and context-aware implementations. Key sailing Features: The impact of the proposed book is to provide a major area of concern to develop a foundation for the implementation process of new image processing and IoT devices based on Energy, Industry, and Healthcare related technology. The researchers working on image processing and IoT devices can correlate their work with other requirements of advanced technology in Energy, Industry, and Healthcare domain. To make aware of the latest technology like AI and Machine learning in Energy, Industry, and Healthcare related technology. Useful for the researcher to explore new things like Security, cryptography, and privacy in Energy, Industry, and Healthcare related technology. People who want to start in Energy, Industry, and Healthcare related technology with image processing and IoT world.

Learning Techniques for the Internet of Things

Author : Praveen Kumar Donta
Publisher : Springer Nature
ISBN 13 : 303150514X
Total Pages : 334 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Learning Techniques for the Internet of Things by : Praveen Kumar Donta

Download or read book Learning Techniques for the Internet of Things written by Praveen Kumar Donta and published by Springer Nature. This book was released on with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Hands-On Deep Learning for IoT

Author : Md. Rezaul Karim
Publisher : Packt Publishing Ltd
ISBN 13 : 1789616069
Total Pages : 298 pages
Book Rating : 4.7/5 (896 download)

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Book Synopsis Hands-On Deep Learning for IoT by : Md. Rezaul Karim

Download or read book Hands-On Deep Learning for IoT written by Md. Rezaul Karim and published by Packt Publishing Ltd. This book was released on 2019-06-27 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Implement popular deep learning techniques to make your IoT applications smarter Key FeaturesUnderstand how deep learning facilitates fast and accurate analytics in IoTBuild intelligent voice and speech recognition apps in TensorFlow and ChainerAnalyze IoT data for making automated decisions and efficient predictionsBook Description Artificial Intelligence is growing quickly, which is driven by advancements in neural networks(NN) and deep learning (DL). With an increase in investments in smart cities, smart healthcare, and industrial Internet of Things (IoT), commercialization of IoT will soon be at peak in which massive amounts of data generated by IoT devices need to be processed at scale. Hands-On Deep Learning for IoT will provide deeper insights into IoT data, which will start by introducing how DL fits into the context of making IoT applications smarter. It then covers how to build deep architectures using TensorFlow, Keras, and Chainer for IoT. You’ll learn how to train convolutional neural networks(CNN) to develop applications for image-based road faults detection and smart garbage separation, followed by implementing voice-initiated smart light control and home access mechanisms powered by recurrent neural networks(RNN). You’ll master IoT applications for indoor localization, predictive maintenance, and locating equipment in a large hospital using autoencoders, DeepFi, and LSTM networks. Furthermore, you’ll learn IoT application development for healthcare with IoT security enhanced. By the end of this book, you will have sufficient knowledge need to use deep learning efficiently to power your IoT-based applications for smarter decision making. What you will learnGet acquainted with different neural network architectures and their suitability in IoTUnderstand how deep learning can improve the predictive power in your IoT solutionsCapture and process streaming data for predictive maintenanceSelect optimal frameworks for image recognition and indoor localizationAnalyze voice data for speech recognition in IoT applicationsDevelop deep learning-based IoT solutions for healthcareEnhance security in your IoT solutionsVisualize analyzed data to uncover insights and perform accurate predictionsWho this book is for If you’re an IoT developer, data scientist, or deep learning enthusiast who wants to apply deep learning techniques to build smart IoT applications, this book is for you. Familiarity with machine learning, a basic understanding of the IoT concepts, and some experience in Python programming will help you get the most out of this book.

IoT-enabled Sensor Networks: Architecture, Methodologies, Security, and Futuristic Applications

Author : Samayveer Singh, Manju, Aruna Malik, Pradeep Kumar Singh
Publisher : Bentham Science Publishers
ISBN 13 : 9815049496
Total Pages : 142 pages
Book Rating : 4.8/5 (15 download)

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Book Synopsis IoT-enabled Sensor Networks: Architecture, Methodologies, Security, and Futuristic Applications by : Samayveer Singh, Manju, Aruna Malik, Pradeep Kumar Singh

Download or read book IoT-enabled Sensor Networks: Architecture, Methodologies, Security, and Futuristic Applications written by Samayveer Singh, Manju, Aruna Malik, Pradeep Kumar Singh and published by Bentham Science Publishers. This book was released on 2024-03-01 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume explores IoT architectures, their configuration, and operability in wireless sensor networks. The topics are spread across nine structured chapters covering fundamental and applied knowledge about wireless sensor networks using IoT devices. The book starts with an introduction to the subject, giving readers a quick overview of IoT enabled networks and bio-inspired approaches towards network design. This is followed by chapters explaining optimized routing protocols for accident detection, efficiency and performance analysis. The book concludes with four chapters dedicated to security applications of wireless networks, for homes, urban areas and businesses. Overall, the volume gives a balance of theoretical and practical information for readers. The book is intended as a resource for graduate and postgraduate students for understanding network design for home and embedded applications, specifically using single board computing devices. It also serves as a guide for networking courses and assessments.

Artificial Intelligence in Industrial Applications

Author : Steven Lawrence Fernandes
Publisher : Springer Nature
ISBN 13 : 3030853837
Total Pages : 203 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Artificial Intelligence in Industrial Applications by : Steven Lawrence Fernandes

Download or read book Artificial Intelligence in Industrial Applications written by Steven Lawrence Fernandes and published by Springer Nature. This book was released on 2021-12-07 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the analytics and optimization issues in industry, to propose new approaches, and to present applications of innovative approaches in real facilities. In the past few decades there has been an exponential rise in the application of artificial intelligence for solving complex and intricate problems arising in industrial domain. The versatility of these techniques have made them a favorite among scientists and researchers working in diverse areas. The book is edited to serve a broad readership, including computer scientists, medical professionals, and mathematicians interested in studying computational intelligence and their applications. It will also be helpful for researchers, graduate and undergraduate students with an interest in the fields of Artificial Intelligence and Industrial problems. This book will be a useful resource for researchers, academicians as well as professionals interested in the highly interdisciplinary field of Artificial Intelligence.

Deep Learning for Sustainable Agriculture

Author : Ramesh Chandra Poonia
Publisher : Academic Press
ISBN 13 : 0323903622
Total Pages : 408 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Deep Learning for Sustainable Agriculture by : Ramesh Chandra Poonia

Download or read book Deep Learning for Sustainable Agriculture written by Ramesh Chandra Poonia and published by Academic Press. This book was released on 2022-01-09 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: The evolution of deep learning models, combined with with advances in the Internet of Things and sensor technology, has gained more importance for weather forecasting, plant disease detection, underground water detection, soil quality, crop condition monitoring, and many other issues in the field of agriculture. agriculture. Deep Learning for Sustainable Agriculture discusses topics such as the impactful role of deep learning during the analysis of sustainable agriculture data and how deep learning can help farmers make better decisions. It also considers the latest deep learning techniques for effective agriculture data management, as well as the standards established by international organizations in related fields. The book provides advanced students and professionals in agricultural science and engineering, geography, and geospatial technology science with an in-depth explanation of the relationship between agricultural inference and the decision-support amenities offered by an advanced mathematical evolutionary algorithm. Introduces new deep learning models developed to address sustainable solutions for issues related to agriculture Provides reviews on the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of sustainable agriculture Illustrates through case studies how deep learning has been used to address a variety of agricultural diseases that are currently on the cutting edge Delivers an accessible explanation of artificial intelligence algorithms, making it easier for the reader to implement or use them in their own agricultural domain