Dew Computing
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Dew Computing
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Author : Debashis De
language : en
Publisher: Springer Nature
Release Date : 2023-09-02
Dew Computing written by Debashis De and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-02 with Technology & Engineering categories.
This book discusses the dew computing paradigm with the evolution of future-generation technologies through the cloud and the Internet of Things in the scope of machine intelligence. Dew computing is an emerging paradigm that inherits a flexible and super-hybrid methodology to afford personal information to users with self-regulating internetwork connectivity. The contents conceptualize how the end-users can benefit from data analytics through intelligent data sensing, computing, analytics, and distributed scenarios using a dew-cloud computational framework over the Internet of Things environment. The main focus of this book is to bring all the related technologies into a single platform so that undergraduate and postgraduate students, researchers, academicians, and the industry can easily understand dew computing, future generations of cloud computing, machine intelligence, and representation learning in IoT-enabled technologies.
Recent Advances In Computing Sciences
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Author : Manmohan Sharma
language : en
Publisher: CRC Press
Release Date : 2025-01-27
Recent Advances In Computing Sciences written by Manmohan Sharma and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-27 with Computers categories.
The 2nd International Conference on Recent Advances in Computing Sciences (RACS) was held from 29th to 30th November 2022 at Lovely Professional University, Jalandhar, India. The conference focused on discussing issues, exchanging ideas, and the most recent innovations towards advancing research in the field of Computing Sciences and Technology. All technical sessions were predominantly related to Data Science, Artificial intelligence, Remote Sensing, Image Processing, Computer Vision, Data Forensics, Cyber-Security, Computational Sciences, Simulation and modeling, Business Analytics, and Machine Learning.
Machine Learning Algorithms Using Scikit And Tensorflow Environments
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Author : Baby Maruthi, Puvvadi
language : en
Publisher: IGI Global
Release Date : 2023-12-18
Machine Learning Algorithms Using Scikit And Tensorflow Environments written by Baby Maruthi, Puvvadi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-18 with Computers categories.
Machine learning is able to solve real-time problems. It has several algorithms such as classification, clustering, and more. To learn these essential algorithms, we require tools like Scikit and TensorFlow. Machine Learning Algorithms Using Scikit and TensorFlow Environments assists researchers in learning and implementing these critical algorithms. Covering key topics such as classification, artificial neural networks, prediction, random forest, and regression analysis, this premier reference source is ideal for industry professionals, computer scientists, researchers, academicians, scholars, practitioners, instructors, and students.
Intelligent Communication And Computational Technologies
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Author : Yu-Chen Hu
language : en
Publisher: Springer
Release Date : 2017-10-24
Intelligent Communication And Computational Technologies written by Yu-Chen Hu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-24 with Technology & Engineering categories.
The book includes insights that reflect the advances in the field of Internet of Things from upcoming researchers and leading academicians across the globe. It contains the high-quality peer-reviewed papers of ‘International Conference on Internet of Things for Technological Development (IoT4TD 2017)’, held at Kadi Sarva Vishvavidyalaya, Gandhinagar, Gujarat, India during April 1-2, 2017. The book covers variety of topics such as Internet of things, Intelligent Image Processing, Networks and Mobile Communications, Big Data and Cloud. The book is helpful for the perspective readers’ from computer industry and academia to derive the advances of next generation communication and computational technology and shape them into real life applications.
Internet Of Things The Call Of The Edge
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Author : Ovidiu Vermesan
language : en
Publisher: CRC Press
Release Date : 2022-09-01
Internet Of Things The Call Of The Edge written by Ovidiu Vermesan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-01 with Computers categories.
This book provides an overview of the Internet of Things (IoT) – covering new ideas, concepts, research and innovation to enable the development of IoT technologies in a global context. The work is intended as a standalone book in a series covering the activities of the Internet of Things European Research Cluster (IERC) – including research, technological innovation, validation, and deployment. The book chapters build on the developments and innovative ideas put forward by the IERC, the IoT European Large-Scale Pilots Programme and the IoT European Security and Privacy Projects – presenting new concepts, ideas and future IoT trends and ways of integrating open data frameworks and IoT marketplaces into larger deployment ecosystems. The IoT and Industrial Internet of Things technologies are moving towards hyperautomated solutions – combining hyperconnectivity, artificial intelligence (AI), distributed ledger technologies and virtual/augmented extended reality, with edge computing and deep edge processing becoming an assertive factor across industries for implementing intelligent distributed computing resources and data to keep the efficient data exchange and processing local to reduce latency, exploit the sensing/actuating capabilities and enable greater autonomy. Expanding the adoption of consumer, business, industrial and tactile IoT requires further development of hyperautomated IoT concepts for collaborative solutions involving machines and humans to expand augmented creativity at the application level using AI to optimise the industrial processes and progress towards a symbiotic economy based on distributed federated cloud/edge infrastructure allowing resource sharing in the form of computing, memory and analytics capabilities. The advances of autonomous IoT applications delivering services in real-time encompasses development in servitisation, robotisation, automation and hyperconnectivity, which are essential for the rapid evolution of industrial enterprises in the new digital era. The rise of digital twins integrated into IoT platforms as fully interactive elements embedded into the simulation and optimisation environment, as well as the embedment of AI techniques and methods, enhances the accuracy and performance of models in the various IoT and Industrial Internet of Things applications. The convergence of technologies to provide scalable, interoperable IoT-enabled applications pushed the requirements for high bandwidth, low latency and robust and dependable connectivity to support the industry’s demand for deeper integration and improved analytics to deliver sustainable competitive advantage products and services, enabling digital transformation with a focus on new business models.Safety and security are interlinked for the next wave of IoT technologies and applications and combined, prove a greater value for rapid adoption. The new IoT technologies are essential for facilitating sustainable development, reducing energy consumption and, by supporting the optimisation of products and processes, mitigating unnecessary carbon emissions – thereby reducing the environmental impact through real-time data collection, analysis, exchange, and processing.
Next Generation Data Science And Blockchain Technology For Industry 5 0
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Author : Amit Kumar Tyagi
language : en
Publisher: John Wiley & Sons
Release Date : 2025-07-11
Next Generation Data Science And Blockchain Technology For Industry 5 0 written by Amit Kumar Tyagi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-11 with Computers categories.
A groundbreaking view of the industrial models of the future Industry 5.0 is an increasingly widespread term for the coming business paradigm, which will combine humans, robotics, and smart technology to create the industrial processes of the future. Technological innovations like smart factories, networked processes, data science, blockchain, and more will be combined to revolutionize industry and drive innovation at an unprecedented pace. Next Generation Data Science and Blockchain Technology for Industry 5.0 offers an overview of these most important questions, their early answers, and the most promising paths forward. Incorporating practical case studies grounded in real-world data, the book emphasizes a hands-on approach combining numerous analytical tools. With a broad view of the historical role of industrial revolutions and a cutting-edge grasp of the key technologies, this book is an indispensable window into the future of business. Next Generation Data Science and Blockchain Technology for Industry 5.0 readers will also find: Incorporation of tools including statistical analysis, machine learning, graph analysis, and more Detailed treatment of cutting-edge technologies like additive manufacture (3D printing), edge computing, and many others Self-assessment tools to facilitate understanding Next Generation Data Science and Blockchain Technology for Industry 5.0 is ideal for academics, researchers, and advanced students in computer science and computer technology, as well as professionals and researchers working in data science or any other area of industrial technology.
Security Privacy And Anonymity In Computation Communication And Storage
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Author : Guojun Wang
language : en
Publisher: Springer Nature
Release Date : 2021-02-06
Security Privacy And Anonymity In Computation Communication And Storage written by Guojun Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-06 with Computers categories.
This book constitutes seven refereed workshops and symposiums, SpaCCS Workshops 2020, which are held jointly with the 13th International Conference on Security, Privacy, and Anonymity in Computation, Communication, and Storage, SpaCCS 2020, in Nanjing, China, in December 2020. The 48 papers were carefully reviewed and selected from 131 submissions and cover a broad range of topics on security, privacy and anonymity in computation communication, and storage, including the 11th International Workshop on Trust, Security and Privacy for Big Data (TrustData 2020), the 10th International Symposium on Trust, Security and Privacy for Emerging Applications (TSP 2020), the 9th International Symposium on Security and Privacy on Internet of Things (SPIoT 2020), the 6th International Symposium on Sensor-Cloud Systems (SCS 2020), the Second International Workshop on Communication, Computing, Informatics and Security (CCIS 2020), the First International Workshop on Intelligence and Security in Next Generation Networks (ISNGN 2020), the First International Symposium on Emerging Information Security and Applications (EISA 2020).
Ict Innovations 2023 Learning Humans Theory Machines And Data
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Author : Marija Mihova
language : en
Publisher: Springer Nature
Release Date : 2024-02-26
Ict Innovations 2023 Learning Humans Theory Machines And Data written by Marija Mihova and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-26 with Computers categories.
This book constitutes the refereed proceedings of the 15th International Conference on ICT Innovations 2023. Learning: Humans, Theory, Machines, and Data, ICT Innovations 2023, held in Ohrid, North Macedonia during September 24–26, 2023. The 17 full papers included in this book were carefully reviewed and selected from 52 submissions. They are organized in sections by topics as follows: AI and natural language processing; bioinformatics; dew computing; e-learning and e-services; image processing; network science; theoretical informatics.
Modelling Of Virtual Worlds Using The Internet Of Things
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Author : Simar Preet Singh
language : en
Publisher: CRC Press
Release Date : 2024-07-31
Modelling Of Virtual Worlds Using The Internet Of Things written by Simar Preet Singh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-31 with Computers categories.
The text presents aspects of virtual worlds and highlights the emerging trends in simulation and modeling, comprising machine learning, artificial intelligence, deep learning, robotics, cloud computing, and data mining algorithms. It further discusses concepts including multimedia for the Internet of Things, graphical modeling using emerging technologies, and securing communication with secure data transmission in the modeling of virtual worlds. This book: Discusses secure data transmission in the modeling of virtual worlds in the Internet of Things environment. Covers the integration of concepts and technical know-how about multiple technologies in visual world modeling, system configurations, and hardware issues. Explores the use of next-generation technologies such as deep learning, blockchain, and artificial intelligence in visual world modeling scenarios. Presents architectures and system models for the Internet of Things based visual world modeling systems. Provides real-time case scenarios, highlighting emerging challenges and issues. The text is primarily written for senior undergraduate students, graduate students, and academic researchers in the fields of electrical engineering, electronics, communications engineering, computer engineering, and information technology.
Advanced Machine Learning
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Author : Dr. Amit Kumar Tyagi
language : en
Publisher: BPB Publications
Release Date : 2024-06-29
Advanced Machine Learning written by Dr. Amit Kumar Tyagi and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-29 with Computers categories.
DESCRIPTION Our book is divided into several useful concepts and techniques of machine learning. This book serves as a valuable resource for individuals seeking to deepen their understanding of advanced topics in this field. Learn about various learning algorithms, including supervised, unsupervised, and reinforcement learning, and their mathematical foundations. Discover the significance of feature engineering and selection for enhancing model performance. Understand model evaluation metrics like accuracy, precision, recall, and F1-score, along with techniques like cross-validation and grid search for model selection. Explore ensemble learning methods along with deep learning, unsupervised learning, time series analysis, and reinforcement learning techniques. Lastly, uncover real-world applications of the machine and deep learning algorithms. After reading this book, readers will gain a comprehensive understanding of machine learning fundamentals and advanced techniques. With this knowledge, readers will be equipped to tackle real-world problems, make informed decisions, and develop innovative solutions using machine and deep learning algorithms. KEY FEATURES ● Basic understanding of machine learning algorithms via MATLAB, R, and Python. ● Inclusion of examples related to real-world problems, case studies, and questions related to futuristic technologies. ● Adding futuristic technologies related to machine learning and deep learning. WHAT YOU WILL LEARN ● Ability to tackle complex machine learning problems. ● Understanding of foundations, algorithms, ethical issues, and how to implement each learning algorithm for their own use/ with their data. ● Efficient data analysis for real-time data will be understood by researchers/ students. ● Using data analysis in near future topics and cutting-edge technologies. WHO THIS BOOK IS FOR This book is ideal for students, professors, and researchers. It equips industry experts and academics with the technical know-how and practical implementations of machine learning algorithms. TABLE OF CONTENTS 1. Introduction to Machine Learning 2. Statistical Analysis 3. Linear Regression 4. Logistic Regression 5. Decision Trees 6. Random Forest 7. Rule-Based Classifiers 8. Naïve Bayesian Classifier 9. K-Nearest Neighbors Classifiers 10. Support Vector Machine 11. K-Means Clustering 12. Dimensionality Reduction 13. Association Rules Mining and FP Growth 14. Reinforcement Learning 15. Applications of ML Algorithms 16. Applications of Deep Learning 17. Advance Topics and Future Directions