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Automatic control --- Electrical engineering --- Electronics
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For many engineering problems we require optimization processes with dynamic adaptation as we aim to establish the dimension of the search space where the optimum solution resides and develop robust techniques to avoid the local optima usually associated with multimodal problems. This book explores multidimensional particle swarm optimization, a technique developed by the authors that addresses these requirements in a well-defined algorithmic approach. After an introduction to the key optimization techniques, the authors introduce their unified framework and demonstrate its advantages in challenging application domains, focusing on the state of the art of multidimensional extensions such as global convergence in particle swarm optimization, dynamic data clustering, evolutionary neural networks, biomedical applications and personalized ECG classification, content-based image classification and retrieval, and evolutionary feature synthesis. The content is characterized by strong practical considerations, and the book is supported with fully documented source code for all applications presented, as well as many sample datasets. The book will be of benefit to researchers and practitioners working in the areas of machine intelligence, signal processing, pattern recognition, and data mining, or using principles from these areas in their application domains. It may also be used as a reference text for graduate courses on swarm optimization, data clustering and classification, content-based multimedia search, and biomedical signal processing applications.
Particles --- Optical pattern recognition. --- Optical properties. --- Computer science. --- Artificial intelligence. --- Computational intelligence. --- Electrical engineering. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Computational Intelligence. --- Electrical Engineering. --- Electric engineering --- Engineering --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Informatics --- Science --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Engineering. --- Computer engineering. --- Artificial Intelligence. --- Computers --- Construction --- Industrial arts --- Technology --- Design and construction --- Mathematical optimization. --- Swarm intelligence. --- Machine learning. --- Pattern recognition systems.
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This two-volume set LNCS 14509-14510, constitutes the refereed proceedings of the First International Conference on Artificial Intelligence Security and Privacy, AIS&P 2023, held in Guangzhou, China, during December 3–5, 2023. The 40 regular papers and 23 workshop papers presented in this two-volume set were carefully reviewed and selected from 115 submissions. Topics of interest include, e.g., attacks and defence on AI systems; adversarial learning; privacy-preserving data mining; differential privacy; trustworthy AI; AI fairness; AI interpretability; cryptography for AI; security applications. .
Artificial intelligence. --- Security systems. --- Data protection --- Cryptography. --- Data encryption (Computer science). --- Data protection. --- Artificial Intelligence. --- Security Science and Technology. --- Privacy. --- Cryptology. --- Security Services. --- Law and legislation. --- Artificial intelligence
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This two-volume set LNCS 14509-14510, constitutes the refereed proceedings of the First International Conference on Artificial Intelligence Security and Privacy, AIS&P 2023, held in Guangzhou, China, during December 3–5, 2023. The 40 regular papers and 23 workshop papers presented in this two-volume set were carefully reviewed and selected from 115 submissions. Topics of interest include, e.g., attacks and defence on AI systems; adversarial learning; privacy-preserving data mining; differential privacy; trustworthy AI; AI fairness; AI interpretability; cryptography for AI; security applications.
Artificial intelligence. --- Security systems. --- Data protection --- Cryptography. --- Data encryption (Computer science). --- Data protection. --- Artificial Intelligence. --- Security Science and Technology. --- Privacy. --- Cryptology. --- Security Services. --- Law and legislation.
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Mathematical statistics --- Programming --- Computer architecture. Operating systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computervisie --- patroonherkenning --- factoranalyse --- applicatiebeheer --- apps --- informatica --- KI (kunstmatige intelligentie) --- architectuur (informatica)
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