Artificial Intelligence for Digitising Industry Applications Book [PDF] Download

Download the fantastic book titled Artificial Intelligence for Digitising Industry Applications written by Ovidiu Vermesan, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Artificial Intelligence for Digitising Industry Applications", which was released on 01 September 2022. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Medical genre.

Summary of Artificial Intelligence for Digitising Industry Applications by Ovidiu Vermesan PDF

This book provides in-depth insights into use cases implementing artificial intelligence (AI) applications at the edge. It covers new ideas, concepts, research, and innovation to enable the development and deployment of AI, the industrial internet of things (IIoT), edge computing, and digital twin technologies in industrial environments. The work is based on the research results and activities of the AI4DI project, including an overview of industrial use cases, research, technological innovation, validation, and deployment. This book’s sections build on the research, development, and innovative ideas elaborated for applications in five industries: automotive, semiconductor, industrial machinery, food and beverage, and transportation. The articles included under each of these five industrial sectors discuss AI-based methods, techniques, models, algorithms, and supporting technologies, such as IIoT, edge computing, digital twins, collaborative robots, silicon-born AI circuit concepts, neuromorphic architectures, and augmented intelligence, that are anticipating the development of Industry 5.0. Automotive applications cover use cases addressing AI-based solutions for inbound logistics and assembly process optimisation, autonomous reconfigurable battery systems, virtual AI training platforms for robot learning, autonomous mobile robotic agents, and predictive maintenance for machines on the level of a digital twin. AI-based technologies and applications in the semiconductor manufacturing industry address use cases related to AI-based failure modes and effects analysis assistants, neural networks for predicting critical 3D dimensions in MEMS inertial sensors, machine vision systems developed in the wafer inspection production line, semiconductor wafer fault classifications, automatic inspection of scanning electron microscope cross-section images for technology verification, anomaly detection on wire bond process trace data, and optical inspection. The use cases presented for machinery and industrial equipment industry applications cover topics related to wood machinery, with the perception of the surrounding environment and intelligent robot applications. AI, IIoT, and robotics solutions are highlighted for the food and beverage industry, presenting use cases addressing novel AI-based environmental monitoring; autonomous environment-aware, quality control systems for Champagne production; and production process optimisation and predictive maintenance for soybeans manufacturing. For the transportation sector, the use cases presented cover the mobility-as-a-service development of AI-based fleet management for supporting multimodal transport. This book highlights the significant technological challenges that AI application developments in industrial sectors are facing, presenting several research challenges and open issues that should guide future development for evolution towards an environment-friendly Industry 5.0. The challenges presented for AI-based applications in industrial environments include issues related to complexity, multidisciplinary and heterogeneity, convergence of AI with other technologies, energy consumption and efficiency, knowledge acquisition, reasoning with limited data, fusion of heterogeneous data, availability of reliable data sets, verification, validation, and testing for decision-making processes.


Detail About Artificial Intelligence for Digitising Industry Applications PDF

  • Author : Ovidiu Vermesan
  • Publisher : CRC Press
  • Genre : Medical
  • Total Pages : 435 pages
  • ISBN : 1000794318
  • PDF File Size : 54,9 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

Clicking on the GET BOOK button will initiate the downloading process of Artificial Intelligence for Digitising Industry Applications by Ovidiu Vermesan. This book is available in ePub and PDF format with a single click unlimited downloads.

GET BOOK

Artificial Intelligence for Digitising Industry – Applications

Artificial Intelligence for Digitising Industry – Applications
  • Publisher : CRC Press
  • File Size : 52,5 Mb
  • Release Date : 01 September 2022
GET BOOK

This book provides in-depth insights into use cases implementing artificial intelligence (AI) applications at the edge. It covers new ideas, concepts, research, and innovation to enable the development and deployment

Artificial Intelligence and Industrial Applications

Artificial Intelligence and Industrial Applications
  • Publisher : Springer Nature
  • File Size : 42,7 Mb
  • Release Date : 16 October 2023
GET BOOK

Amid the dynamic growth of artificial intelligence, this book presents a collection of findings and advancements from the second edition of the A2IA-Artificial Intelligence and Industrial Applications conference. The

Artificial Intelligence for All

Artificial Intelligence for All
  • Publisher : BPB Publications
  • File Size : 26,8 Mb
  • Release Date : 18 February 2020
GET BOOK

Artificial Intelligence, the Revolutionary Transformation that no one can escape KEY FEATURES Provides perfect 'playground' for enterprises and institutions globally to develop Artificial Intelligence solutionsThe world has achieved an enormous

Industrial Artificial Intelligence Technologies and Applications

Industrial Artificial Intelligence Technologies and Applications
  • Publisher : CRC Press
  • File Size : 46,6 Mb
  • Release Date : 11 September 2023
GET BOOK

The advances in industrial edge artificial intelligence (AI) are transforming the way industrial equipment and machines interact with the real world, with other machines and humans during manufacturing processes. These

Artificial Intelligence and Industrial Applications

Artificial Intelligence and Industrial Applications
  • Publisher : Springer Nature
  • File Size : 49,8 Mb
  • Release Date : 16 October 2023
GET BOOK

Amid the dynamic growth of artificial intelligence, this book presents a collection of findings and advancements from the second edition of the A2IA-Artificial Intelligence and Industrial Applications conference. The

Artificial Intelligence in Industry 4.0

Artificial Intelligence in Industry 4.0
  • Publisher : Springer Nature
  • File Size : 27,5 Mb
  • Release Date : 27 February 2021
GET BOOK

This book is intended to help management and other interested parties such as engineers, to understand the state of the art when it comes to the intersection between AI and

AI and Learning Systems

AI and Learning Systems
  • Publisher : BoD – Books on Demand
  • File Size : 41,5 Mb
  • Release Date : 17 February 2021
GET BOOK

Over the last few years, interest in the industrial applications of AI and learning systems has surged. This book covers the recent developments and provides a broad perspective of the