Expert systems / knowledge-based systems

Blockchain, a decentralized ledger technology based on cryptographic algorithms, ensures the creation of immutable and tamper-proof ledgers in decentralized systems.

Blockchain, a decentralized ledger technology based on cryptographic algorithms, ensures the creation of immutable and tamper-proof ledgers in decentralized systems.

This book investigates the potential and limitations of using Generative AI (GenAI) in terms of quality and capability in agile web development projects using React.

Acclaimed by various content platforms (books, music, movies) and auction sites online, recommendation systems are key elements of digital strategies.

Acclaimed by various content platforms (books, music, movies) and auction sites online, recommendation systems are key elements of digital strategies.

Markov Decision Processes (MDPs) are a mathematical framework for modeling sequential decision problems under uncertainty as well as reinforcement learning problems.

Markov Decision Processes (MDPs) are a mathematical framework for modeling sequential decision problems under uncertainty as well as reinforcement learning problems.

Complete guidance for mastering the tools and techniques of the digital revolution With the digital revolution opening up tremendous opportunities in many fields, there is a growing need for skilled professionals who can develop data-intensive systems and extract information and knowledge from them.

Complete guidance for mastering the tools and techniques of the digital revolution With the digital revolution opening up tremendous opportunities in many fields, there is a growing need for skilled professionals who can develop data-intensive systems and extract information and knowledge from them.

Unsupervised domain adaptation (UDA) is a challenging problem in machine learning where the model is trained on a source domain with labeled data and tested on a target domain with unlabeled data.

Originally published in 1992, this title reviews seven major subareas in artificial intelligence at that time: knowledge acquisition; logic programming and representation; machine learning; natural language; vision; the design of an AI programming environment; and medicine, a major application area of AI.

Originally published in 1992, this title reviews seven major subareas in artificial intelligence at that time: knowledge acquisition; logic programming and representation; machine learning; natural language; vision; the design of an AI programming environment; and medicine, a major application area of AI.

Artificial neural networks can mimic the biological information-processing mechanism in - a very limited sense.

Artificial neural networks can mimic the biological information-processing mechanism in - a very limited sense.

This book presents the creation of a bilingual thesaurus (Italian and English), and its conversion into an ontology system, oriented to the Cybersecurity field of knowledge term management and the identification of a replicable method over other specialized areas of study, through computational linguistics procedures, to a statistical and qualitative measurement of the terminological coverage threshold a controlled vocabulary is able to guarantee with respect to the semantic richness proper to the domain under investigation.

This book presents the creation of a bilingual thesaurus (Italian and English), and its conversion into an ontology system, oriented to the Cybersecurity field of knowledge term management and the identification of a replicable method over other specialized areas of study, through computational linguistics procedures, to a statistical and qualitative measurement of the terminological coverage threshold a controlled vocabulary is able to guarantee with respect to the semantic richness proper to the domain under investigation.

Knowledge Management (KM) is strongly rooted in the discipline of Knowledge Engineering (KE), which in turn grew partly out of the artificial intelligence field.

This fully revised edition of Handbook of Pharmaceutical Granulation Technology covers the rapid advances in the science of agglomeration, process control, process modelling, scale-up, emerging particle engineering technologies, along with current regulatory changes presented by some of the prominent scientist and subject matter experts around the globe.

This fully revised edition of Handbook of Pharmaceutical Granulation Technology covers the rapid advances in the science of agglomeration, process control, process modelling, scale-up, emerging particle engineering technologies, along with current regulatory changes presented by some of the prominent scientist and subject matter experts around the globe.

Machine learning algorithms hold extraordinary promise, but the reality is that their success depends entirely on the suitability of the data available.

Machine learning algorithms hold extraordinary promise, but the reality is that their success depends entirely on the suitability of the data available.

This book is an attempt to establish in the readers the importance of creating interoperable data stores and writing rules for handling this data.

This book is an attempt to establish in the readers the importance of creating interoperable data stores and writing rules for handling this data.

This book provides an introduction to statistical process control in automated manufacturing and suggests implementation strategies.

Classical and Fuzzy Concepts in Mathematical Logic and Applications provides a broad, thorough coverage of the fundamentals of two-valued logic, multivalued logic, and fuzzy logic.

This book provides an introduction to statistical process control in automated manufacturing and suggests implementation strategies.

Classical and Fuzzy Concepts in Mathematical Logic and Applications provides a broad, thorough coverage of the fundamentals of two-valued logic, multivalued logic, and fuzzy logic.

Developing Semantic Web Services is "e;well-informed about work on WS [Web Services] and the SemWeb [Semantic Web], and in particular .

Engineering systems such as an aircraft or frigate are highly complex and specifically designed to meet the customer's requirements.

Because of the increasing complexity and growth of real-world networks, their analysis by using classical graph-theoretic methods is oftentimes a difficult procedure.

The management of an educational system is referred to as educational administration.

This book introduces the concept of "e;bespoke learning"e;, a new mechanistic approach that makes it possible to generate values of an output variable at each designated value of an associated input variable.

Unlock the power of generative AI in Python development and learn how you can enhance your coding speed, quality, and efficiency with real-world examples and hands-on strategiesKey FeaturesDiscover how GitHub Copilot, ChatGPT, and the OpenAI API can boost your coding productivityPush beyond the basics to apply advanced techniques across the software development lifecycleMaster best practices and advanced techniques to achieve quality code for even complex tasksPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionSoftware development is being transformed by GenAI tools, such as ChatGPT, OpenAI API, and GitHub Copilot, redefining how developers work.

Real-Time Systems in Mechatronic Applications brings together in one place important contributions and up-to-date research results in this fast moving area.

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Real-time computer systems are very often subject to dependability requirements because of their application areas.

Real-time computing plays a crucial role in our society since an increasing num- ber of complex systems rely, in part or completely, on processor control.

Foundations of Dependable Computing: System Implementation, explores the system infrastructure needed to support the various paradigms of Paradigms for Dependable Applications.

Foundations of Dependable Computing: Models and Frameworks for Dependable Systems presents two comprehensive frameworks for reasoning about system dependability, thereby establishing a context for understanding the roles played by specific approaches presented in this book's two companion volumes.

Foundations of Dependable Computing: Paradigms for Dependable Applications, presents a variety of specific approaches to achieving dependability at the application level.

Real-time systems are now used in a wide variety of applications.

The Engineering of Complex Real-Time Computer Control Systems brings together in one place important contributions and up-to-date research results in this important area.

Autonomous agents or multiagent systems are computational systems in which several computational agents interact or work together to perform some set of tasks.

Real-Time Systems Engineering and Applications is a well-structured collection of chapters pertaining to present and future developments in real-time systems engineering.

Real-Time Video Compression: Techniques and Algorithms introduces the XYZ video compression technique, which operates in three dimensions, eliminating the overhead of motion estimation.

The first comparative examination of planning paradigms This text begins with the principle that the ability to anticipate and plan is an essential feature of intelligent systems, whether human or machine.

This book is dedicated to exploring and explaining time series event detection in databases.

Knowledge management has become an important topic for the theory and practice of organisation management.

This is the first book to take a truly comprehensive look at clustering.