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Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

Advanced Technologies in Electronics,
Communications and Signal Processing

Advanced Technologies in Electronics, Communications and Signal Processing

First EAI International Conference, ICATECS 2024, Hyderabad, India, July 26–27, 2024, Proceedings, Part II

Ninth EAI International Conference, SmartGift 2024, Hong Kong, China, December 9–10, 2024, Proceedings

Smart Grid and Innovative Frontiers in Telecommunications

5th EAI International Conference, HealthWear 2024, Isparta, Turkey, December 2–3, 2024, Proceedings

IoT Technologies and Wearables for HealthCare

20th EAI International Conference, SecureComm 2024, Dubai, United Arab Emirates, October 28–30, 2024, Proceedings, Part III

Security and Privacy in Communication Networks

First EAI International Conference, ICATECS 2024, Hyderabad, India, July 26–27, 2024, Proceedings, Part I

This book LNICST 622 constitutes the refereed proceedings of the Second EAI International Conference on Security and Privacy in Cyber-Physical Systems and Smart Vehicles, SmartSP 2024, held in New Orleans, LA, USA, during November 7–8, 2024. The 18 full papers were carefully reviewed an selected from 47 submissions. The proceedings focus on Emerging Applications, Hardware and Firmware Security, Adversarial Attacks in Autonomous Systems, Ethics, Privacy, Human-Centric Considerations and Security Techniques for Cyber-Physical Systems.

Second EAI International Conference, SmartSP 2024, New Orleans, LA, USA, November 7–8, 2024, Proceedings

Security and Privacy in Cyber-Physical Systems and Smart Vehicles

Third Pan-African Conference, PAAISS 2024, Durban, South Africa, December 4–6, 2024, Proceedings, Part II

Pan-African Artificial Intelligence and Smart Systems

The three-volume set LNICST 624, 625, 626 constitutes the refereed proceedings of the 20th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2024, held in Wuzhen, China, during November 14–17, 2024.&nbsp;The 62 full papers were carefully reviewed and selected from 173 submissions. They are categorized under the topical sections as follows:&nbsp;&nbsp;Edge computing &amp; Task schedulingDeep Learning and applicationBlockchain applicationsSecurity and Privacy ProtectionRepresentation learning &amp; Collaborative workingGraph neural networks &amp; Recommendation systemsFederated Learning and application

20th EAI International Conference, CollaborateCom 2024, Wuzhen, China, November 14–17, 2024, Proceedings, Part I

Collaborative Computing: Networking, Applications and Worksharing

20th EAI International Conference, SecureComm 2024, Dubai, United Arab Emirates, October 28–30, 2024, Proceedings, Part I

8th EAI International Conference, SGIoT 2024, Taichung, Taiwan, November 23–24, 2024, Proceedings

Smart Grid and Internet of Things

20th EAI International Conference, CollaborateCom 2024, Wuzhen, China, November 14–17, 2024, Proceedings, Part II

Third Pan-African Conference, PAAISS 2024, Durban, South Africa, December 4–6, 2024, Proceedings, Part I

7th EAI International Conference, 6GN 2024, Chongqing, China, October 19–20, 2024, Proceedings

6GN for Future Wireless Networks

Medical and Technical Analysis and Signal Processing Perspectives

Exploring Infant Cry

Learn how to manage the risks and opportunities of agentic AI with this practical guide to ensuring the safe and beneficial developments of advanced AI systems.

Principles and Responsible Practices

Safer Agentic AI

New Directions in Contemporary Art

The field of AI Art is a hotbed for strange, uneasy partnerships between big tech, big art and critical culture. Not since Walter Benjamin's Age of Mechanical Reproduction has there been a similar challenge to humanist art criticism. This book examines how a contemporary critic should best engage with, contextualise and effectively critique machine-learning-based art. In considering this question, Nora Khan looks at the rush of institutions to place AI Art within an art-historical lineage while they simultaneously accept significant funding from technology companies. She discusses the scale and speed at which technological production, machine learning, and AI have abraded the individual's capacity for critical evaluation, moving us to consider what a shared, collective criticism of AI might sound like.

The field of AI Art is a hotbed for strange, uneasy partnerships between big tech, big art and critical culture. Not since Walter Benjamin's Age of Mechanical Reproduction has there been a similar challenge to humanist art criticism. This book examines how a contemporary critic should best engage with, contextualise and effectively critique machine-learning-based art. In considering this question, Nora Khan looks at the rush of institutions to place AI Art within an art-historical lineage while they simultaneously accept significant funding from technology companies. She discusses the scale and speed at which technological production, machine learning, and AI have abraded the individual’s capacity for critical evaluation, moving us to consider what a shared, collective criticism of AI might sound like.

AI Art, Machine Learning and the Stakes for Art Criticism

Sustainable Computing and Optimization

Trends and Future Challenges

Managing Sustainable Operations of Logistics and Supply Chain Management

Medical Robots and Devices: New Developments and Advances

Medical Imaging Application in Health Assessment and Disease Management is an all-encompassing book that explores the transformative power of medical imaging in various fields of medicine. It showcases the latest advancements and applications of medical imaging modalities, ranging from neurology and oncology to audiology and osteoporosis. The book highlights the role of medical imaging in understanding and treating neurological conditions, assessing bone health, unraveling hearing disorders, and diagnosing and treating oncological conditions. It also delves into the potential of artificial intelligence and machine learning in improving cancer diagnosis and treatment. The book explores the use of medical imaging in observing mental health conditions such as autism spectrum disorder and stress-related behavioral changes. This comprehensive resource is essential for researchers and professional engineers in the fields of medical image computing/processing, computer science, artificial intelligence, radiology, neuroscience, and biomedical research.

Medical Imaging Application in Health Assessment and Disease Management

What is Art in the age of inequality, climate change and AI? From leading design group, Metahaven.

Cognitive Futures

The Hard Question of Art

A story of unexpected love at the end of the world

Some Body Like Me

Develop AI solutions and projects that create real and effective business value with this guide to leading a successful enterprise AI program.

Optimize AI Teams for Value Creation

Leading Enterprise AI Programs

Gain the Confidence You Need to Succeed

Data and AI Skills

Quantum Computing and Machine Learning for 6G

Intelligent automation is widely considered to have the greatest potential for Industry 4.0 innovations for corporations. Industrial machinery is increasingly being upgraded to intelligent machines that can perceive, act, evolve, and interact in an industrial environment. The innovative technologies featured in this machinery include the Internet of Things, cyber-physical systems, and artificial intelligence. Artificial intelligence enables computer systems to learn from experience, adapt to new input data, and perform intelligent tasks. The significance of AI is not found in its computational models, but in how humans can use them. Consistently observing equipment to keep it from malfunctioning is the procedure of predictive maintenance. Predictive maintenance includes a periodic maintenance schedule and anticipates equipment failure rather than responding to equipment problems. Currently, the industry is struggling to adopt a viable and trustworthy predictive maintenance plan for machinery. The goal of predictive maintenance is to reduce the amount of unanticipated downtime that a machine experiences due to a failure in a highly automated manufacturing line. In recent years, manufacturing across the globe has increasingly embraced the Industry 4.0 concept. Greater solutions than those offered by conventional maintenance are promised by machine learning, revealing precisely how AI and machine learning-based models are growing more prevalent in numerous industries for intelligent performance and greater productivity. Artificial and Machine Learning for Industry 4.0 emphasizes technological developments that could have great influence on an industrial revolution and introduces the fundamental technologies responsible for directing the development of innovative firms. Decision-making requires a vast intake of data and customization in the manufacturing process, which managers and machines both deal with on a regular basis. One of the biggest issues in this field is the capacity to foresee when maintenance of assets is necessary. Leaders in the sector will have to make careful decisions about how, when, and where to employ these technologies. Artificial and Machine Learning for Industry 4.0 offers contemporary technological advancements in AI and machine learning from an Industry 4.0 perspective, looking at their prospects, obstacles, and potential applications.

Artificial Intelligence and Machine Learning for Industry 4.0

Encyclopedia of Optimization

Advanced Technologies in Electronics, Communications and Signal ...

Bibliografische Angaben

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Bibliografische Angaben

Schlagworte

Weitere Titel der Reihe: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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