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The LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary science but rather as an innovative approach supporting many other scientific disciplines. The journal focuses on original high-quality research in the realm of computational science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of large-scale computations and massive data processing. It addresses researchers and practitioners in areas ranging from aerospace to biochemistry, from electronics to geosciences, from mathematics to software architecture, presenting verifiable computational methods, findings, and solutions, and enabling industrial users to apply techniques of leading-edge, large-scale, high performance computational methods. This, the 33rd issue of the Transactions on Computational Science, focusses on computational geometry and computability, with applications in IoT (Internet of Things), Bioinformatics, and WBAN (Wireless Body Area Networks). Three of the seven papers constitute extended versions of papers presented at the 18th International Workshop on Computational Geometry and Security Applications, CGSA 2017, held in Trieste, Italy, in June 2017.
"This book charts the new ground broken by researchers exploring software science as it interacts with computational intelligence"--
This book brings together papers presented at the 2022 International Conference on Communications, Signal Processing, and Systems, online, July 23-24, 2022, which provides a venue to disseminate the latest developments and to discuss the interactions and links between these multidisciplinary fields. Spanning topics ranging from communications, signal processing and systems, this book is aimed at undergraduate and graduate students in Electrical Engineering, Computer Science and Mathematics, researchers and engineers from academia and industry as well as government employees (such as NSF, DOD and DOE).
This two-volume set LNCS 6691 and 6692 constitutes the refereed proceedings of the 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, held in Torremolinos-Málaga, Spain, in June 2011. The 154 revised papers were carefully reviewed and selected from 202 submissions for presentation in two volumes. The first volume includes 69 papers organized in topical sections on mathematical and theoretical methods in computational intelligence; learning and adaptation; bio-inspired systems and neuro-engineering; hybrid intelligent systems; applications of computational intelligence; new applications of brain-computer interfaces; optimization algorithms in graphic processing units; computing languages with bio-inspired devices and multi-agent systems; computational intelligence in multimedia processing; and biologically plausible spiking neural processing.
Resolution of Equations in Algebraic Structures: Volume 2, Rewriting Techniques is a collection of papers dealing with the construction of canonical rewrite systems, constraint handling in logic programming, and completion algorithms for conditional rewriting systems. Papers discuss the Knuth-Bendix completion method which constructs a complete system for a given set of equations, including extensions of the method dealing with termination, unfailing completion, and associative-communicative completion. One paper examines the various practical techniques that can be used to extend Prolog as a constraint solver, particularly on techniques that solve boolean equations, imposing inequality, disequality, and finitary domain constraints on variables. Another paper presents a sufficient condition for confluence of conditional rewriting, and a practical unification algorithm modulo conditional rewriting through the notion of conditional narrowing. One paper analyzes the possibility of using completion for inductive proofs in the initial algebra of an equational variety without explicit induction. Another papers discusses solving systems of word equations in the free monoid and the free group, where a solution is defined as a word homomorphism. Programmers, mathematicians, students, and instructors involved in computer science and computer logic will find this collection valuable.
This era of science and engineering has attracted researchers tasked with evaluating performance and optimization of problems in the field of operations research. The book covers mathematical analysis, methods and applications involving processes such as system performance, optimization, inventory theory, reliability theory, and queueing theory. Operations Research: Methods, Techniques, and Advancements explores recent and innovative methods and advancements associated with the mathematical theory of operations research. It offers a detailed overview of mathematical modelling for general industrial systems and emphasizes the latest ideas for the benefit of society and the research community. Intended for a broad range of readers, this book is useful to academicians, industrialists, researchers, students, academia and specialists from various disciplines and those working in the industry.
The digital age has witnessed the meteoric rise of artificial intelligence (AI), a paradigm-shifting technology that has redefined the boundaries of computation and decision-making. Initially, AI's journey began with basic rule-based systems, evolving into the current digital age is dominated by complex machine learning and deep learning models. The digital AI presence and progression has brought with it a myriad of ethical challenges, necessitating a rigorous examination of AI's role in complex and interconnected systems. Ethical Dimensions of AI Development notes that the core of these challenges are issues of privacy, transparency, and validity. AI's ability to process vast datasets can intrude on individual privacy, while opaque algorithmic decision-making processes can obscure transparency. Addressing these ethical concerns is crucial to fostering trust and ensuring the responsible use of AI technologies in society. Covering topics such as accountability, discrimination, and privacy and security, this book is an essential resource for AI researchers and developers, data scientists, ethicists, policy makers, legal professionals, technology industry leaders, and more.
This monograph extends and generalizes the UNITY methodology, introduced in the late 1980s by K. Mani Chandy and Jayadev Misra as a formalism aiding in the specification and verification of parallel programs, in several directions. This treatise further develops the ideas behind UNITY in order to explore and understand the potential and limitations of this approach: first UNITY is applied to formulate and tackle problems in parallelism such as compositionality; second, the logic and notation of UNITY is generalized in order to increase its range of applicability; finally, paradigms and abstractions useful for the design of probabilistic parallel algorithms are developed. Taken together the results presented reaffirm the promise of UNITY as a versatile medium for treating many problems of parallelism.
This book contains the proceedings of the 4TH International Conference on Computational Methods in Science and Technology (ICCMST 2024). The proceedings explores research and innovation in the field of Internet of things, Cloud Computing, Machine Learning, Networks, System Design and Methodologies, Big Data Analytics and Applications, ICT for Sustainable Environment, Artificial Intelligence and it provides real time assistance and security for advanced stage learners, researchers and academicians has been presented. This will be a valuable read to researchers, academicians, undergraduate students, postgraduate students, and professionals within the fields of Computer Science, Sustainability and Artificial Intelligence.