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1. Mining Intelligence and Knowledge Exploration : Third International Conference, MIKE 2015, Hyderabad, India, December 9-11, 2015, Proceedings.

Author

Kathirvalavakumar, T., Prasath, Rajendra, and Vuppala, Anil Kumar

Subjects
Algorithms, Application software, Artificial intelligence, Data mining, Information storage and retrieval, Optical data processing, Artificial Intelligence, Algorithm Analysis and Problem Complexity, Computer Imaging, Vision, Pattern Recognition and Graphics, Data Mining and Knowledge Discovery, Information Storage and Retrieval, Information Systems Applications (incl. Internet)
Abstract

Summary: This book constitutes the refereed proceedings of the Third International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2015, held in Hyderabad, India, in December 2015. The 48 full papers and 8 short papers presented together with 4 doctoral consortium papers were carefully reviewed and selected from 185 submissions. The papers cover a wide range of topics including information retrieval, machine learning, pattern recognition, knowledge discovery, classification, clustering, image processing, network security, speech processing, natural language processing, language, cognition and computation, fuzzy sets, and business intelligence.

Published
2015

2. Simulation of an Algorithm for Space Target Materials Identification Based on vis-NIR Hyperspectral Data.

Author

Qingbo Li, Ruiguang Zhao, and Xingjin Miao

Subjects
*MATRIX decomposition, *NONNEGATIVE matrices, *IMAGE segmentation, *ALGORITHMS, *MULTISPECTRAL imaging, *SPATIAL resolution
Abstract

Space target recognition is of great importance for maintaining aerospace safety and national security. When observing a space target, owing to the low spatial resolution of ground-based observation equipment, each pixel in a hyperspectral image might represent a mixture of several different materials. Hyperspectral unmixing is a process used to extract the endmembers and their corresponding abundances from hyperspectral data. Unfortunately, most existing methods cannot make full use of the available spatial information data. The paper proposes a new local manifold sparse regularized unmixing model based on similarity regularized nonnegative matrix factorization (SRNMF). To exploit the spatial information of the vis-NIR (approximately 400-2500 nm) hyperspectral image of a space target, image segmentation is introduced to generate similar local regions. These local regions are generated adaptively, and pixels within each region have similar abundance sparseness. Simulation experiments validated the high efficiency and precision of the proposed algorithm, which should also be suitable for other spectral analysis applications. [ABSTRACT FROM AUTHOR]

Published
2022
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4. Tools and Algorithms for the Construction and Analysis of Systems

Author

Vojnar, Tomáš and Zhang, Lijun

Subjects
Computer science, Computer logic, Software engineering, Mathematical logic, Algorithms, Logic design, Artificial intelligence, thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering, thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures, thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering, thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation, thema EDItEUR::U Computing and Information Technology::UY Computer science::UYF Computer architecture and logic design, thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
Abstract

This book is Open Access under a CC BY licence. The LNCS 11427 and 11428 proceedings set constitutes the proceedings of the 25th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2019, which took place in Prague, Czech Republic, in April 2019, held as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2019. The total of 42 full and 8 short tool demo papers presented in these volumes was carefully reviewed and selected from 164 submissions. The papers are organized in topical sections as follows: Part I: SAT and SMT, SAT solving and theorem proving; verification and analysis; model checking; tool demo; and machine learning. Part II: concurrent and distributed systems; monitoring and runtime verification; hybrid and stochastic systems; synthesis; symbolic verification; and safety and fault-tolerant systems.

Published
2019
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5. Computer Aided Verification

Author

Chockler, Hana and Weissenbacher, Georg

Subjects
Computer science, Computer logic, Software engineering, Artificial intelligence, Mathematical logic, Algorithms, Computer simulation, thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering, thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMB Algorithms and data structures, thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering, thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation, thema EDItEUR::U Computing and Information Technology::UY Computer science::UYM Computer modelling and simulation, thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
Abstract

This open access two-volume set LNCS 10980 and 10981 constitutes the refereed proceedings of the 30th International Conference on Computer Aided Verification, CAV 2018, held in Oxford, UK, in July 2018. The 52 full and 13 tool papers presented together with 3 invited papers and 2 tutorials were carefully reviewed and selected from 215 submissions. The papers cover a wide range of topics and techniques, from algorithmic and logical foundations of verification to practical applications in distributed, networked, cyber-physical, and autonomous systems. They are organized in topical sections on model checking, program analysis using polyhedra, synthesis, learning, runtime verification, hybrid and timed systems, tools, probabilistic systems, static analysis, theory and security, SAT, SMT and decisions procedures, concurrency, and CPS, hardware, industrial applications.

Published
2018
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6. Supercomputing Frontiers

Author

Panda, Dhabaleswar K. and Sullivan, Michael

Subjects
cloud computing, computer networks, computer programming, computer systems, CUDA, distributed computer systems, gpu, gpus, hpc, microprocessor chips, mpi, parallel algorithms, parallel architectures, parallel processing systems, parallel programming, programming languages, signal processing, telecommunication systems, algorithms, high performance computing, bic Book Industry Communication::U Computing & information technology::UT Computer networking & communications, bic Book Industry Communication::U Computing & information technology::UM Computer programming / software development::UMZ Software Engineering, bic Book Industry Communication::U Computing & information technology::UL Operating systems, bic Book Industry Communication::U Computing & information technology::UY Computer science::UYF Computer architecture & logic design, bic Book Industry Communication::U Computing & information technology::UK Computer hardware::UKN Network hardware
Abstract

This open access book constitutes the refereed proceedings of the 7th Asian Conference Supercomputing Conference, SCFA 2022, which took place in Singapore in March 2022. The 8 full papers presented in this book were carefully reviewed and selected from 21 submissions. They cover a range of topics including file systems, memory hierarchy, HPC cloud platform, container image configuration workflow, large-scale applications, and scheduling.

Published
2022
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