Rabie khaled (34 risultati)

Condizione: New. In English.

Condizione: New.

Paperback. Condizione: New. 1st ed. 2023. This book constitutes the refereed proceedings of the 8th EAI International Conference on IoT as a Service, IoTaaS 2022 was held virtually due to the COVID-19 crisis.The 17 full papers and 10 short papers included in this book were carefully reviewed and selected from 50 submissions. They were organized in topical sections as follows: ?Next generation wireless networks, Internet of Things, Artificial Intelligence, Wireless Communications, Vehicular Networks, Resource Optimization, Satellite communications and Machine Learning, Network Security.…

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. In English.

Condizione: New.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 8th EAI International Conferenceon IoT as a Service, IoTaaS 2022 was held virtually due to the COVID-19 crisis.The 17 full papers and 10 short papers included in this book were carefully reviewed andselected from 50 submissions. They were organized in topical sections as follows: Next generation wireless networks, Internet of Things,Artificial Intelligence,Wireless Communications, Vehicular Networks, ResourceOptimization, Satellite communications and Machine Learning,Network Security.…

Paperback. Condizione: Brand New. 212 pages. 9.25x6.10x0.45 inches. In Stock.

Kartoniert / Broschiert. Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Hardback. Condizione: New. Medical images, in various formats, are used by clinicians to identify abnormalities or markers associated with certain conditions, such as cancers, diseases, abnormalities or other adverse health conditions. Deep learning algorithms use vast volumes of data to train the computer to recognise certain features in the images that are associated with the disease or condition that you wish to identify. Whilst analysing the images by eye can take a lot of time, deep learning algorithms have the benefit of reviewing medical images at a faster rate than a human can, which aids the clinician, speeding up diagnoses and freeing up clinicians' time for other duties. Deep Learning in Medical Image Processing and Analysis introduces the fundamentals of deep learning for biomedical image analysis for applications including ophthalmology, cancer detection and heart disease. The book considers the principles of multi-instance feature selection, swarm optimisation, parallel processing models, artificial neural networks, support vector machines, as well as their design and optimisation, in biomedical applications. Topics such as data security, patient confidentiality, effectiveness and reliability will also be discussed. Written by an international team of experts, this edited book covers principles and applications for industry and academic researchers, scientists, engineers, developers, and designers in the fields of machine learning, deep learning, AI, image processing, signal processing, computer science or related fields. It will also be of interest to standards bodies and regulators, and clinicians using deep learning models.…

Paperback. Condizione: New. 1st ed. 2023. This book constitutes the refereed proceedings of the 8th EAI International Conference on IoT as a Service, IoTaaS 2022 was held virtually due to the COVID-19 crisis.The 17 full papers and 10 short papers included in this book were carefully reviewed and selected from 50 submissions. They were organized in topical sections as follows: ?Next generation wireless networks, Internet of Things, Artificial Intelligence, Wireless Communications, Vehicular Networks, Resource Optimization, Satellite communications and Machine Learning, Network Security.…

Condizione: As New. Unread book in perfect condition.

Condizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book constitutes the refereed proceedings of the 8th EAI International Conference on IoT as a Service, IoTaaS 2022 was held virtually due to the COVID-19 crisis.The 17 full papers and 10 short papers included in this book were carefully reviewed and selected from 50 submissions. They were organized in topical sections as follows: ¿Next generation wireless networks, Internet of Things, Artificial Intelligence, Wireless Communications, Vehicular Networks, Resource Optimization, Satellite communications and Machine Learning, Network Security.…

Condizione: New.

Hardback. Condizione: New. Medical images, in various formats, are used by clinicians to identify abnormalities or markers associated with certain conditions, such as cancers, diseases, abnormalities or other adverse health conditions. Deep learning algorithms use vast volumes of data to train the computer to recognise certain features in the images that are associated with the disease or condition that you wish to identify. Whilst analysing the images by eye can take a lot of time, deep learning algorithms have the benefit of reviewing medical images at a faster rate than a human can, which aids the clinician, speeding up diagnoses and freeing up clinicians' time for other duties. Deep Learning in Medical Image Processing and Analysis introduces the fundamentals of deep learning for biomedical image analysis for applications including ophthalmology, cancer detection and heart disease. The book considers the principles of multi-instance feature selection, swarm optimisation, parallel processing models, artificial neural networks, support vector machines, as well as their design and optimisation, in biomedical applications. Topics such as data security, patient confidentiality, effectiveness and reliability will also be discussed. Written by an international team of experts, this edited book covers principles and applications for industry and academic researchers, scientists, engineers, developers, and designers in the fields of machine learning, deep learning, AI, image processing, signal processing, computer science or related fields. It will also be of interest to standards bodies and regulators, and clinicians using deep learning models.…

Hardcover. Condizione: Brand New. 400 pages. 9.21x6.14x1.02 inches. In Stock.

Condizione: New. In English.

Hardback. Condizione: New. Medical images, in various formats, are used by clinicians to identify abnormalities or markers associated with certain conditions, such as cancers, diseases, abnormalities or other adverse health conditions. Deep learning algorithms use vast volumes of data to train the computer to recognise certain features in the images that are associated with the disease or condition that you wish to identify. Whilst analysing the images by eye can take a lot of time, deep learning algorithms have the benefit of reviewing medical images at a faster rate than a human can, which aids the clinician, speeding up diagnoses and freeing up clinicians' time for other duties. Deep Learning in Medical Image Processing and Analysis introduces the fundamentals of deep learning for biomedical image analysis for applications including ophthalmology, cancer detection and heart disease. The book considers the principles of multi-instance feature selection, swarm optimisation, parallel processing models, artificial neural networks, support vector machines, as well as their design and optimisation, in biomedical applications. Topics such as data security, patient confidentiality, effectiveness and reliability will also be discussed. Written by an international team of experts, this edited book covers principles and applications for industry and academic researchers, scientists, engineers, developers, and designers in the fields of machine learning, deep learning, AI, image processing, signal processing, computer science or related fields. It will also be of interest to standards bodies and regulators, and clinicians using deep learning models.…

Buch. Condizione: Neu. Neuware - This book introduces the fundamentals of deep learning for biomedical image analysis for applications including ophthalmology, cancer detection and heart disease. The book discusses multimedia data analysis algorithms and the principles of feature selection, optimisation and analysis. …

Condizione: New. T. Chandrakumar is a Professor of Data Science in the Department of Applied Mathematics and Computational Science at Thiagarajar College of Engineering (TCE), Madurai, Tamil Nadu, India. His scholarly work spans diverse domains including agricultu.

Hardback. Condizione: New. Medical images, in various formats, are used by clinicians to identify abnormalities or markers associated with certain conditions, such as cancers, diseases, abnormalities or other adverse health conditions. Deep learning algorithms use vast volumes of data to train the computer to recognise certain features in the images that are associated with the disease or condition that you wish to identify. Whilst analysing the images by eye can take a lot of time, deep learning algorithms have the benefit of reviewing medical images at a faster rate than a human can, which aids the clinician, speeding up diagnoses and freeing up clinicians' time for other duties. Deep Learning in Medical Image Processing and Analysis introduces the fundamentals of deep learning for biomedical image analysis for applications including ophthalmology, cancer detection and heart disease. The book considers the principles of multi-instance feature selection, swarm optimisation, parallel processing models, artificial neural networks, support vector machines, as well as their design and optimisation, in biomedical applications. Topics such as data security, patient confidentiality, effectiveness and reliability will also be discussed. Written by an international team of experts, this edited book covers principles and applications for industry and academic researchers, scientists, engineers, developers, and designers in the fields of machine learning, deep learning, AI, image processing, signal processing, computer science or related fields. It will also be of interest to standards bodies and regulators, and clinicians using deep learning models.…

Buch. Condizione: Neu. Neuware - This book explores IoT-based ecosystems and AI-driven automation in agriculture to provide solutions for intelligent farming systems and precision agriculture techniques. It provides a comprehensive view of emerging technologies' integration and the resultant impact on the farming ecosystem. Real-world case studies and examplesof IoT and AI applications in agriculture are included to show how IoT and AI have revolutionized conventional agriculture. The book also examines the potential and difficulties of deploying IoT and AI in the agricultural business with case studies.Features:¿ Demonstrates how technologies like precision agriculture, smart sensors, and automated systems can be utilized to boost production, reduce waste,and increase sustainability by optimizing resource usage and reducingenvironmental impact.¿ Explains how small sensors, intelligence drones, or low-power Internet of Things setups for detecting, monitoring, gathering, analyzing, and storing data through cloud platforms are encouraging smart and intelligent agriculture.¿ Highlights IoT and AI intervention options for effective assessment of musculoskeletal, ergonomic, and postural analyses.¿ Explains usage of AI and IoT in precision farming, agricultural drones and hopping systems, livestock monitoring, temperature monitoring, smart greenhouses, and computer imaging.¿ Discusses challenges like data security, rural connectivity issues, infrastructure limitations, and the digital divide in rural areas.The book is a helpful reference for professionals, scholars, and students interested in digital farming and sustainable agricultural practices. It acts as a guiding tool for practitioners, researchers, educators, and policymakers, encouraging discussions, innovations, and advancements that will shape a sustainable, efficient, and resilient future for agriculture.…

Condizione: new. Questo è un articolo print on demand.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of the 8th EAI International Conferenceon IoT as a Service, IoTaaS 2022 was held virtually due to the COVID-19 crisis.The 17 full papers and 10 short papers included in this book were carefully reviewed andselected from 50 submissions. They were organized in topical sections as follows: Next generation wireless networks, Internet of Things,Artificial Intelligence,Wireless Communications, Vehicular Networks, ResourceOptimization, Satellite communications and Machine Learning,Network Security. 212 pp. Englisch.…

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.