Artificial Neural Networks and Machine Learning – ICANN 2018 [[electronic resource] ] : 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part I / / edited by Věra Kůrková, Yannis Manolopoulos, Barbara Hammer, Lazaros Iliadis, Ilias Maglogiannis

• Record Nr.: UNISA996466216103316
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
• ISBN: 3-030-01418-5
• Edizione: [1st ed. 2018.]
• Descrizione fisica: 1 online resource (XLIII, 824 p. 311 illus.)
• Collana: Theoretical Computer Science and General Issues, , 2512-2029 ; ; 11139
• Disciplina: 006.32
• Soggetti: Artificial intelligence; Computer vision; Computer engineering; Computer networks; Data protection; Algorithms; Artificial Intelligence; Computer Vision; Computer Engineering and Networks; Computer Communication Networks; Data and Information Security
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Sommario/riassunto: This three-volume set LNCS 11139-11141 constitutes the refereed proceedings of the 27th International Conference on Artificial Neural Networks, ICANN 2018, held in Rhodes, Greece, in October 2018. The papers presented in these volumes was carefully reviewed and selected from total of 360 submissions. They are related to the following thematic topics: AI and Bioinformatics, Bayesian and Echo State ; Networks, Brain Inspired Computing, Chaotic Complex Models, Clustering, Mining, Exploratory Analysis, Coding Architectures, Complex Firing Patterns, Convolutional Neural Networks, Deep Learning (DL), DL in Real Time Systems, DL and Big Data Analytics, DL and Big Data, DL and Forensics, DL and Cybersecurity, DL and Social Networks, Evolving Systems – Optimization, Extreme Learning Machines, From Neurons to Neuromorphism, From Sensation to Perception, From Single Neurons to Networks, Fuzzy Modeling, Hierarchical ANN, Inference and Recognition, Information and Optimization, Interacting with The Brain, Machine Learning (ML), ML for Bio Medical systems, ML and Video-Image Processing, ML and Forensics, ML and Cybersecurity, ML and Social Media, ML in Engineering, Movement and Motion Detection, Multilayer Perceptrons and Kernel Networks, Natural Language, Object and Face Recognition, Recurrent Neural Networks and Reservoir Computing, Reinforcement Learning, Reservoir Computing, Self-Organizing Maps, Spiking Dynamics/Spiking ANN, Support Vector Machines, Swarm Intelligence and Decision-Making, Text Mining, Theoretical Neural Computation, Time Series and Forecasting, Training and Learning.

Stripping-coal resources of the United States--January 1, 1970 / / by Paul Averitt

• Record Nr.: UNINA9910707415703321
• Autore: Averitt Paul <1908-1991, >
• Pubbl/distr/stampa: [Washington, D.C.] : , : United States Department of the Interior, Geological Survey, , 1970; Washington : , : United States Government Printing Office
• Descrizione fisica: 1 online resource (iv, 34 pages) : illustration
• Collana: Geological Survey bulletin ; ; 1322
• Soggetti: Coal mines and mining - United States; Strip mining - United States; Coal mines and mining; Strip mining; United States
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Title from title screen (viewed September 15, 2014).; "A review and analysis by States of data available on the stripping-coal potential of the United States. Supersedes Bulletin 1252-C."
• Nota di bibliografia: Includes bibliographical references (pages 29-34).