This book explores the transformative impact of emerging technologies such as AI, blockchain, and machine learning on industries and societies, particularly in Africa.
This compilation of papers captures the essence of the International Conference on Smart Systems for Sustainable Development using Advanced Computational Techniques (ICSSA 2025).
Studienarbeit aus dem Jahr 2024 im Fachbereich Informatik - Künstliche Intelligenz, Note: 2,0, Hochschule Fresenius Düsseldorf, Sprache: Deutsch, Abstract: Diese Hausarbeit analysiert den Einfluss von Künstlicher Intelligenz auf moderne Geschäftsmodelle im Kontext der digitalen Transformation.
This book offers a comprehensive exploration of the intersection between Large Language Models (LLMs) and recommendation systems, serving as a practical guide for practitioners, researchers, and students in AI, natural language processing, and data science.
AI for MBAs: The Essential Guide for Leaders Building AI-Driven Enterprise serves as a foundational textbook for understanding how artificial intelligence (AI) can be successfully integrated within the realm of business.
This book explores the evolution of computing beyond current AI paradigms, with a particular emphasis on the potential of knowledge to be used to develop more intelligent, adaptive, and potentially conscious systems.
This book explores the evolution of computing beyond current AI paradigms, with a particular emphasis on the potential of knowledge to be used to develop more intelligent, adaptive, and potentially conscious systems.
In an era where battles are fought not only with code but also with culture, this book explores the evolving landscape of cyber conflict through the lens of psychology, cognition, and information warfare.
This book lays out a path leading from the linguistic and cognitive basics, to classical rule-based and machine learning algorithms, to today's state-of-the-art approaches, which use advanced empirically grounded techniques, automatic knowledge acquisition, and refined linguistic modeling to make a real difference in real-world applications.
AI for MBAs: The Essential Guide for Leaders Building AI-Driven Enterprise serves as a foundational textbook for understanding how artificial intelligence (AI) can be successfully integrated within the realm of business.
This ESPRIT Basic Research volume provides an overview of two projects intended "e;to contribute to making the process of designing and constructing dependable computing systems much more predictable and cost-effective"e;.
Die Deutsche Arbeitsgemeinschaft für Mustererkennung veranstaltet seit 1978 jährlich an verschiedenen Orten ein wissenschaftliches Symposium mit dem Ziel, Aufgabenstellungen, Denkweisen und Forschungsergebnisse aus den Gebieten der Mustererkennung vorzustellen, den Erfahrungs- und Ideenaustausch zwischen den Fachleuten anzuregen und den Nachwuchs zu fördern.
This compilation of papers captures the essence of the International Conference on Smart Systems for Sustainable Development using Advanced Computational Techniques (ICSSA 2025).
The technique of data fusion has been used extensively in information retrieval due to the complexity and diversity of tasks involved such as web and social networks, legal, enterprise, and many others.
Markov networks and other probabilistic graphical modes have recently received an upsurge in attention from Evolutionary computation community, particularly in the area of Estimation of distribution algorithms (EDAs).
This research book proposes a general conceptual framework for the development of automation in human-agents environments that will allow human- agent teams to work effectively and efficiently.
"e;Temporal Information Processing Technology and Its Applications"e; systematically studies temporal information processing technology and its applications.
Sustainable and resilient critical infrastructure systems is an emerging paradigm in an evolving era of depleting assets in the midst of natural and man-made threats to provide a sustainable and high quality of life with optimized resources from social, economic, societal and environmental considerations.
"e;Blind Signal Processing: Theory and Practice"e; not only introduces related fundamental mathematics, but also reflects the numerous advances in the field, such as probability density estimation-based processing algorithms, underdetermined models, complex value methods, uncertainty of order in the separation of convolutive mixtures in frequency domains, and feature extraction using Independent Component Analysis (ICA).
"e;Process Neural Network: Theory and Applications"e; proposes the concept and model of a process neural network for the first time, showing how it expands the mapping relationship between the input and output of traditional neural networks and enhances the expression capability for practical problems, with broad applicability to solving problems relating to processes in practice.
Foundations of Voice and Speech Quality Perception starts out with the fundamental question of: "e;How do listeners perceive voice and speech quality and how can these processes be modeled?
This book offers a comprehensive exploration of the intersection between Large Language Models (LLMs) and recommendation systems, serving as a practical guide for practitioners, researchers, and students in AI, natural language processing, and data science.
In an era where battles are fought not only with code but also with culture, this book explores the evolving landscape of cyber conflict through the lens of psychology, cognition, and information warfare.
The rapid evolution of biotechnology has ushered in an era in which the genome is no longer viewed as a static blueprint, but as a dynamic and editable system.
This book critically examines how public relations theory and practice are being redefined within the sociopolitical, cultural, and technological realities of the Global South.
This book addresses the urgent need for AI healthcare insights in a post-pandemic and swiftly progressing world in which the use of advanced health technologies is becoming the norm.
Das Buch folgt einem klar strukturierten Aufbau entlang der Phasen wissenschaftlichen Arbeitens – von der Themenfindung über Gliederung und Schreibprozess bis zur Korrektur.
KI-gestützte Prozessautomatisierung zeigt, wie Unternehmen Künstliche Intelligenz nutzen, um Prozesse effizienter, schneller und intelligenter zu machen.
KI-gestützte Prozessautomatisierung zeigt, wie Unternehmen Künstliche Intelligenz nutzen, um Prozesse effizienter, schneller und intelligenter zu machen.
Das Buch folgt einem klar strukturierten Aufbau entlang der Phasen wissenschaftlichen Arbeitens – von der Themenfindung über Gliederung und Schreibprozess bis zur Korrektur.
This volume LNCS constitutes the proceedings of the 31st International Conference on Applications of Natural Language to Information Systems, NLDB 2026, held in Trondheim, Norway, June 17–19, 2026.
