Athawale tushar (18 resultados)

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Paperback or Softback. Condición: New. Practical IoT Edge Computing with Python. Book.

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Taschenbuch. Condición: Neu. Machine Learning and Information Processing | Proceedings of ICMLIP 2020 | Debabala Swain (u. a.) | Taschenbuch | Advances in Intelligent Systems and Computing | xvii | Englisch | 2021 | Springer | EAN 9789813348585 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book includes selected papers from the 2nd International Conference on Machine Learning and Information Processing (ICMLIP 2020), held at Vardhaman College of Engineering, Jawaharlal Nehru Technological University (JNTU), Hyderabad, India, from November 28 to 29, 2020. It presents the latest developments and technical solutions in the areas of advanced computing and data sciences, covering machine learning, artificial intelligence, human-computer interaction, IoT, deep learning, image processing and pattern recognition, and signal and speech processing.…

Condición: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.

Paperback. Condición: Brand New. 486 pages. 9.25x6.10x1.25 inches. In Stock.

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PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Build Real-time IoT Solutions Using Python, Edge, and Docker Tools.Key Features¿ Explore real-world IoT use-cases using Python and edge computing.¿ Hands-on projects on embedded devices like Raspberry Pi and Jetson Nano.¿ Learn edge-cloud integration, Docker, and protocols such as MQTT and CoAP.¿ Covers security, streaming data, and future edge computing trends.Book DescriptionThe Internet of Things (IoT) is reshaping the way the world collects, processes, and responds to data-from smart homes and wearables to autonomous vehicles and industrial automation. As the demand for fast, secure, and intelligent data handling grows, edge computing becomes a key enabler, pushing computation closer to the source and reducing latency, cloud dependency, and security risks.Practical IoT Edge Computing with Python equips readers with a complete, hands-on roadmap to build robust, real-time IoT systems, using edge devices and Python. You will begin by understanding the core concepts of IoT, and the limitations of traditional cloud-based models. Thus, step by step, you will move through building an IoT data pipeline, integrating edge and cloud, and deploying on devices like Raspberry Pi and Jetson Nano, as well as working with protocols such as MQTT and CoAP.You will also gain practical experience with data preprocessing, edge intelligence, containerization (Docker/Kubernetes), and security measures like blockchain. Each chapter builds your confidence to design scalable, secure, and responsive IoT systems.Hence, whether you are a student, developer, or industry professional, this book offers the tools and knowledge to turn IoT concepts into fully functioning edge solutions.What you will learn¿ Understand edge vs. cloud computing in IoT system architectures.¿ Build IoT data pipelines including pre-processing and analysis steps.¿ Deploy Python-based data processing on embedded edge platforms.¿ Use networking protocols (MQTT, CoAP and AMQP) in edge devices.¿ Containerize models with Docker/Kubernetes for edge deployment.Table of Contents1. Introduction to IoT and Edge2. Conventional Cloud versus Edge3. Building IoT Data Pipelines4. Integrating Edge with Cloud in IoT Architecture5. Exploring Edge Platforms and Devices6. IoT Data Networking at Edge7. Pre-Processing Data on Edge Devices8. Leveraging Edge Intelligence9. Streaming Data Processing10. Containerization Technology for Edge Intelligence11. Data Security and Privacy12. Future TrendsIndexAbout the AuthorsDr. Rajasi Tushar Athawale is a voluntary research associate in Mobile Sensing and Intelligence Security (MoSIS Lab), University of Tennessee, Knoxville, USA, working under Dr. Jian Liu. She also conducts independent research on IoT systems integrating ML/AI and edge computing. Her current research focuses on wearable and contactless gait analysis using multi-task transformer architectures to predict running gait parameters from low-cost IMU data. These models are optimized for real-time deployment on edge devices such as Raspberry Pi 4 and Jetson Nano.Rajasi completed her Ph.D. in Computer Science and Engineering from Motilal Nehru National Institute of Technology (MNNIT) Allahabad in 2024. Her doctoral dissertation, 'Design and Implementation of Edge-based Framework for Smart Monitoring of Public Restrooms in Developing Countries,' presents a Python-based system that adaptively fuses heterogeneous data and user feedback while handling network constraints and power outages.…

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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents recent research in the field of machine learning and information processingDiscusses the outcomes of ICMLIP 2020, held in Hyderabad, IndiaServes as a reference resource for researchers and practitioners in academia and industry.…

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book includes selected papers from the 2nd International Conference on Machine Learning and Information Processing (ICMLIP 2020), held at Vardhaman College of Engineering, Jawaharlal Nehru Technological University (JNTU), Hyderabad, India, from November 28 to 29, 2020. It presents the latest developments and technical solutions in the areas of advanced computing and data sciences, covering machine learning, artificial intelligence, human-computer interaction, IoT, deep learning, image processing and pattern recognition, and signal and speech processing. 620 pp. Englisch.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Smart Queue Shopping using Rfid System.- Prediction and Classification of Biased and Fake News using NLP and Machine Learning models.- Smart Leaf Disease Detection Using Image Processing.- Unsupervised Image Generation & Manipulation using Deep Convolutional Adversarial Networks.- A Sentiment Analysis and Suicide Ideation Method using Various Machine Learning Algorithms on Twitter Tweets.- Video Categorization based on Sentiment Analysis of YouTube comments.- Credit Score Prediction using Machine Learning.- Stock Market Prediction Using Long Short-Term Memory Model.- Efficient Management of Web Personalization through Entropy and Similarity Analysis.- Artistic Media Stylization & Identification using Convolution Neural Networks.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 620 pp. Englisch.…

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