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The two-volume set CCIS 1332 and 1333 constitutes thoroughly refereed contributions presented at the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020.* For ICONIP 2020 a total of 378 papers was carefully reviewed and selected for publication out of 618 submissions. The 191 papers included in this volume set were organized in topical sections as follows: data mining; healthcare analytics-improving healthcare outcomes using big data analytics; human activity recognition; image processing and computer vision; natural language processing; recommender systems; the 13th international workshop on artificial intelligence and cybersecurity; computational intelligence; machine learning; neural network models; robotics and control; and time series analysis. * The conference was held virtually due to the COVID-19 pandemic.

Pattern recognition. --- Pattern Recognition. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Neural networks (Computer science)

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Pattern perception. --- Neural networks (Computer science) --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Artificial intelligence --- Natural computation --- Soft computing --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception

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This book reports on new theories and applications in the field of intelligent systems and computing. It covers computational and artificial intelligence methods, as well as advances in computer vision, current issues in big data and cloud computing, computation linguistics, and cyber-physical systems. It also reports on important topics in intelligent information management. Written by active researchers, the respective chapters are based on selected papers presented at the XIV International Scientific and Technical Conference on Computer Science and Information Technologies (CSIT 2019), held on September 17–20, 2019, in Lviv, Ukraine. The conference was jointly organized by the Lviv Polytechnic National University, Ukraine, the Kharkiv National University of Radio Electronics, Ukraine, and the Technical University of Lodz, Poland, under patronage of Ministry of Education and Science of Ukraine. Given its breadth of coverage, the book provides academics and professionals with extensive information and a timely snapshot of the field of intelligent systems, and is sure to foster new discussions and collaborations among different groups.

Computer science --- Computational intelligence. --- Data mining. --- Pattern recognition. --- Computational Intelligence. --- Data Mining and Knowledge Discovery. --- Pattern Recognition. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Intelligence, Computational --- Artificial intelligence --- Soft computing

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This book constitutes the refereed post-conference proceedings of 3 workshops, held at the 24th International Conference on Pattern Recognition, Beijing, China, in August 2018: the Third International Workshop on Computer Vision for Analysis of Underwater Imagery, CVAUI 2018, the 7th International Workshop on Computational Forensics, IWCF 2018, and the International Workshop on Multimedia Information Processing for Personality and Social Networks Analysis, MIPPSNA 2018. The 16 full papers presented in this book were carefully reviewed and selected from 23 submissions. CVAUI Workshop: The analysis of underwater imagery imposes a series of unique challenges, which need to be tackled by the computer vision community in collaboration with biologists and ocean scientists. IWCF Workshop: With the advent of high-end technology, fraudulent efforts are on rise in many areas of our daily life, may it be fake paper documents, forgery in the digital domain or copyright infringement. In solving the related criminal cases use of pattern recognition (PR) principles is also gaining an important place because of their ability in successfully assisting the forensic experts to solve many of such cases. MIPPSNA Workshop: Its goal is to compile the latest research advances on the analysis of multimodal information for facing problems that are not visually obvious, this is, problems for which the sole visual analysis is insufficient to provide a satisfactory solution.

Computer vision. --- Optical pattern recognition. --- Computer graphics. --- Image Processing and Computer Vision. --- Pattern Recognition. --- Computer Graphics. --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Image processing --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Digital techniques --- Computer vision --- Optical data processing. --- Pattern recognition. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Optical computing --- Visual data processing --- Bionics --- Integrated optics --- Photonics --- Computers --- Optical equipment

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Das Buch führt in die Grundlagen Web-basierter Anwendungen virtueller Techniken ein. Im Forschungsprojekt ARVIDA wurde hierzu eine dienste-basierte Referenzarchitektur entwickelt. Die Umfelderkennung bildete einen weiteren Schwerpunkt. Diese Technologien wurden zur Evaluation in industriellen Anwendungsszenarien erfolgreich erprobt. Die Projektergebnisse werden insbesondere im Zusammenhang mit Industrie 4.0 diskutiert. Die Herausgeber leiten das Verbundprojekt ARVIDA; die Autoren sind international anerkannte Fachleute auf ihren Forschungs- und Arbeitsgebieten in Industrie und Wissenschaft. Der Inhalt Das Verbundprojekt ARVIDA.- Technologische Grundlagen.- ARVIDA-Referenzarchitektur.- ARVIDA-Technologien.- Anwendungsszenarien Motion Capturing.- Anwendungsszenarien Soll/Ist-Vergleich.- Anwendungsszenarien Werkerassistenz.- Anwendungsszenarien Produktabsicherung.- Verwertung und Nachhaltigkeit. Die Zielgruppen Das Buch wendet sich an Wissenschaftler und Studierende aus IT, Elektrotechnik und Maschinenbau sowie an Praktiker und Entscheider aus IT, Automobil-, Schiff-, Flugzeug- und Maschinenbau. Die Herausgeber Prof. Dr.-Ing. Werner Schreiber, Volkswagen AG Dr.-Ing. Konrad Zürl, A.R.T. GmbH Dipl.-Ing. Peter Zimmermann, Virtual Technologies.

Engineering. --- Computer simulation. --- Optical pattern recognition. --- Computational Intelligence. --- Simulation and Modeling. --- Automotive Engineering. --- Pattern Recognition. --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Construction --- Industrial arts --- Technology --- Computational intelligence. --- Automotive engineering. --- Pattern recognition. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Intelligence, Computational --- Artificial intelligence --- Soft computing