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Smith M: Problem Solving with Python

Problem Solving with Python

Using Computational Thinking in Everyday Life

Quantum Computing and Machine Learning for 6G

Wendepunkte in der Analogen und Digitalen Welt

The goal of security within the supply chain and transportation infrastructure is to effectively mitigate risks while facilitating commerce. Security and business protection measures are at the core of how to maintain consistent and strategic business operations. These expenses are assets that promote reliability to customers, but also serve as

The goal of security within the supply chain and transportation infrastructure is to effectively mitigate risks while facilitating commerce. Security and business protection measures are at the core of how to maintain consistent and strategic business operations. These expenses are assets that promote reliability to customers, but also serve as

Mitigating Threats and Facilitating the Flow of Commerce

Security, Transportation, and the Supply Chain

Integration of Federated Learning and Blockchain f or Smart Cities

Franz Buscha's book, Graphs Everyone Should Know and How to Create Them in Stata, is for anyone who uses Stata to make graphs. Beginners will find a complete collection of tools for effectively visualizing their data and results. Experienced Stata users are certain to learn some new tricks as well.

Graphs Everyone Should Know and How to Create Them in Stata

Beginner's Guide to SOLIDWORKS 2025 - Level II starts where Beginner's Guide - Level I ends, following the same easy to read style and companion video instruction, but this time covering advanced topics and techniques.

Sheet Metal, Top Down Design, Weldments, Surfacing and Molds

Beginner's Guide to SOLIDWORKS 2025 - Level II

Software Studies

On Software and Sovereignty

The Stack, 10th Anniversary Edition

Engineering Graphics with SOLIDWORKS 2025 is the ultimate guide for students, designers, engineers, and professionals who want to master SOLIDWORKS.

A Step-by-Step Project Based Approach

Engineering Graphics with SOLIDWORKS 2025

Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially, however, the abundance of resources can be overwhelming

As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially, however, the abundance of resources can be overwhelming

Using SAS Enterprise Miner

Data Science and Machine Learning for Non-Programmers

To write effective code and applications, software engineers and developers have to be able to frame user/customer needs effectively, capture program requirements and use cases, and then develop suitable software architecture and code to meet the need. Code Chronicles: The Art of Storytelling in Software helps readers write better software by teaching readers how to write stories in the context of software development. The book explains the roots of storytelling, clarifies that storytelling historically has been a very powerful tool used to pass along knowledge, presents where storytelling is already present implicitly in software development, discusses how to make it more effective, and finally present experiences in storytelling from software engineering and other scientific disciplines, to foster a full understanding of its power. The authors comprehensively present the pivotal role of storytelling in writing software, and they explain how to do it in a simple, hands-on approach, also taking advantage of clear case studies written by experts in the field.

The Art of Storytelling in Software

Code Chronicles

This book is aimed at addressing the needs of individuals interested in a comprehensive understanding of TOGAF. The contents of the book follow the recommended Table of Contents and are at the right level of depth as recommended by The Open Group for both the levels of Certifications.

This book is aimed at addressing the needs of individuals interested in a comprehensive understanding of TOGAF. The contents of the book follow the recommended Table of Contents and are at the right level of depth as recommended by The Open Group for both the levels of Certifications.

Study Guide for TOGAF 9.1 Certifications

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

Problem Solving with Python

Bibliografische Angaben

Schlagworte

Bibliografische Angaben

Schlagworte

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