- Table View
- List View
Topic Modeling: Advanced Techniques and Applications (Machine Learning: Foundations, Methodologies, and Applications)
by Qing Li Yanghui RaoAs a well-known text mining tool, topic modeling can effectively discover the latent semantic structure of text data. Extracting topics from documents is also one of the fundamental challenges in natural language processing. Although topic models have seen significant achievements over the past three decades, there remains a scarcity of methods that effectively model temporal aspect. Moreover, many contemporary topic models continue to grapple with the issue of noise contamination, particularly in social media data. This book presents several approaches designed to address these two limitations. Initially, traditional lifelong topic models aim to accumulate knowledge learned from experience for future task. However, the sequence of topics extracted by these methods may shift over time, leading to semantic misalignment between the topic representations across document streams. Such misalignment can degrade the performances of various downstream tasks, including online document classification and dynamic information retrieval at the topic level. Additionally, the challenge of coherent topic modeling is particularly relevant due to the noise and large scale of social media datasets. Messages on social media platforms often consists of only a few words, resulting in a lack of significant context. Models applied directly to this type of text frequently encounter the problem of feature sparsity, which can yield unsatisfactory outcomes. In the context of emotion detection, public emotions are known to fluctuate across different topics, and topics can evoke public emotion. Thus, there is a strong interconnection between topic discovery and emotion detection. Jointly modeling topics and emotions is a suitable strategy for these tasks. This book also examines the impact of topics on emotion detection and other related areas.
Topical Directions of Informatics
by Ivan V. SergienkoThis work is devoted to the late Ukrainian computer scientist V. M. Glushkov on the 90th anniversary of his birthday. Dr. Glushkov is known for his contribution to the world computer science and technology and this volume analyzes the ideas and paths of development of informatics formulated by him and demonstrate their important role in constructing computer technologies of basic research in the fields of applied mathematics, theories of computer programming and computing systems. A significant portion of the monograph is devoted to the elucidation of new results obtained in the field of mathematical modeling of complicated processes, creation of new methods for solving and investigating optimization problems in different statements and development of computer technologies for investigations in the field of economy, biology, medicine and information security in systems. The monograph will be of particular interest to informatics specialists and experts using methods of informatics and computer technologies to investigate complicated processes of different natures and developing new information technologies. It may also be useful for both graduate students and postgraduates specializing in Computer Science.
Topical Drifts in Intelligent Computing: Proceedings of International Conference on Computational Techniques and Applications (ICCTA 2021) (Lecture Notes in Networks and Systems #426)
by Jyotsna Kumar Mandal Pao-Ann Hsiung Rudra Sankar DharThis book gathers a collection of high-quality peer-reviewed research papers presented at International Conference on Computational Techniques and Applications (ICCTA 2021), organized by the Electronics and Telecommunication Engineers (IETE), Kolkata Center, India, during 8 – 9 October 2021. This includes research in the areas of intelligent computing and communication systems including computing, electronics, green energy design, communications, computers to interact and disseminate information on latest developments both academically and industrially for computational drifts. The three main tracks are (i) computing in network security, AI and data science; (ii) contemporary issues in electronics, and communication technology; and (iii) intelligent computing in electrical power, control systems and energy technology.
Topics and Trends in Current Statistics Education Research: International Perspectives (ICME-13 Monographs)
by Gail Burrill Dani Ben-ZviThis book focuses on international research in statistics education, providing a solid understanding of the challenges in learning statistics. It presents the teaching and learning of statistics in various contexts, including designed settings for young children, students in formal schooling, tertiary level students, and teacher professional development. The book describes research on what to teach and platforms for delivering content (curriculum), strategies on how to teach for deep understanding, and includes several chapters on developing conceptual understanding (pedagogy and technology), teacher knowledge and beliefs, and the challenges teachers and students face when they solve statistical problems (reasoning and thinking). This new research in the field offers critical insights for college instructors, classroom teachers, curriculum designers, researchers in mathematics and statistics education as well as policy makers and newcomers to the field of statistics education. Statistics has become one of the key areas of study in the modern world of information and big data. The dramatic increase in demand for learning statistics in all disciplines is accompanied by tremendous growth in research in statistics education. Increasingly, countries are teaching more quantitative reasoning and statistics at lower and lower grade levels within mathematics, science and across many content areas. Research has revealed the many challenges in helping learners develop statistical literacy, reasoning, and thinking, and new curricula and technology tools show promise in facilitating the achievement of these desired outcomes.
Topics in Artificial Intelligence Applied to Industry 4.0
by Amit Kumar Tyagi Swetta Kukreja Mahmoud Ragab AL-Refaey Abdullah Saad AL-MalaiseTopics in Artificial Intelligence Applied to Industry 4.0 Forward thinking resource discussing emerging AI and IoT technologies and how they are applied to Industry 4.0 Topics in Artificial Intelligence Applied to Industry 4.0 discusses the design principles, technologies, and applications of emerging AI and IoT solutions on Industry 4.0, explaining how to make improvements in infrastructure through emerging technologies. Providing a clear connection with different technologies such as IoT, Big Data, AR and VR, and Blockchain, this book presents security, privacy, trust, and other issues whilst delving into real-world problems and case studies. The text takes a highly practical approach, with a clear insight on how readers can increase productivity by drastically shortening the time period between the development of a new product and its delivery to customers in the market by 50%. This book also discusses how to save energy across systems to ensure competitiveness in a global market, and become more responsive in how they produce products and services for their consumers, such as by investing in flexible production lines. Written by highly qualified authors, Topics in Artificial Intelligence Applied to Industry 4.0 explores sample topics such as: Quantum machine learning, neural network implementation, and cloud and data analytics for effective analysis of industrial data Computer vision, emerging networking technologies, industrial data spaces, and an industry vision for 2030 in both developing and developed nations Novel or improved nature-inspired optimization algorithms in enhancing Industry 5.0 and the connectivity of any components for smart environment Future professions in agriculture, medicine, education, fitness, R&D, and transport and communication as a result of new technologies Aimed at researchers and students in the interdisciplinary fields of Smart Manufacturing and Smart Applications, Topics in Artificial Intelligence Applied to Industry 4.0 provides the perfect overview of technology from the perspective of modern society and operational environment.
Topics in Cryptology – CT-RSA 2017
by Helena HandschuhThis book constitutes the refereed proceedings of the Cryptographer's Track at the RSA Conference 2017, CT-RSA 2017, held in San Francisco, CA, USA, in February 2017. The 25 papers presented in this volume were carefully reviewed and selected from 77 submissions. CT-RSA has become a major publication venue in cryptography. It covers a wide variety of topics from public-key to symmetric key cryptography and from cryptographic protocols to primitives and their implementation security. This year selected topics such as cryptocurrencies and white-box cryptography were added to the call for papers.
Topics in Cryptology – CT-RSA 2018: The Cryptographers' Track At The Rsa Conference 2018, San Francisco, Ca, Usa, April 16-20, 2018, Proceedings (Lecture Notes in Computer Science #10808)
by Nigel P. SmartThis book constitutes the refereed proceedings of the Cryptographer's Track at the RSA Conference 2018, CT-RSA 2018, held in San Francisco, CA, USA, in March 2018.The 26 papers presented in this volume were carefully reviewed and selected from 79 submissions. CT-RSA is the track devoted to scientific papers on cryptography, public-key to symmetric-key cryptography and from crypto- graphic protocols to primitives and their implementation security.
Topics in Cryptology – CT-RSA 2019: The Cryptographers' Track at the RSA Conference 2019, San Francisco, CA, USA, March 4–8, 2019, Proceedings (Lecture Notes in Computer Science #11405)
by Mitsuru MatsuiThis book constitutes the refereed proceedings of the Cryptographer's Track at the RSA Conference 2019, CT-RSA 2019, held in San Francisco, CA, USA, in March 2019. The 28 papers presented in this volume were carefully reviewed and selected from 75 submissions. CT-RSA is the track devoted to scientific papers on cryptography, public-key to symmetric-key cryptography and from crypto- graphic protocols to primitives and their implementation security.
Topics in Cryptology – CT-RSA 2020: The Cryptographers’ Track at the RSA Conference 2020, San Francisco, CA, USA, February 24–28, 2020, Proceedings (Lecture Notes in Computer Science #12006)
by Stanislaw JareckiThis book constitutes the refereed proceedings of the Cryptographer's Track at the RSA Conference 2020, CT-RSA 2020, held in San Francisco, CA, USA, in February 2020. The 28 papers presented in this volume were carefully reviewed and selected from 95 submissions. CT-RSA is the track devoted to scientific papers on cryptography, public-key to symmetric-key cryptography and from crypto-graphic protocols to primitives and their implementation security.
Topics in Cryptology – CT-RSA 2021: Cryptographers’ Track at the RSA Conference 2021, Virtual Event, May 17–20, 2021, Proceedings (Lecture Notes in Computer Science #12704)
by Kenneth G. PatersonThis book constitutes the refereed proceedings of the Cryptographer's Track at the RSA Conference 2021, CT-RSA 2021, held in San Francisco, CA, USA, in May 2021.*The 27 full papers presented in this volume were carefully reviewed and selected from 100 submissions.CT-RSA is the track devoted to scientific papers on cryptography, public-key to symmetric-key cryptography and from crypto-graphic protocols to primitives and their implementation security.*The conference was held virtually.
Topics in Cryptology – CT-RSA 2022: Cryptographers’ Track at the RSA Conference 2022, Virtual Event, March 1–2, 2022, Proceedings (Lecture Notes in Computer Science #13161)
by Steven D. GalbraithThis book constitutes the refereed proceedings of the Cryptographer's Track at the RSA Conference 2022, CT-RSA 2022, held in San Francisco, CA, USA, in February 2022.* The 24 full papers presented in this volume were carefully reviewed and selected from 87 submissions. CT-RSA is the track devoted to scientific papers on cryptography, public-key to symmetric-key cryptography and from crypto-graphic protocols to primitives and their implementation security. *The conference was held as a hybrid event.
Topics in Cryptology – CT-RSA 2023: Cryptographers’ Track at the RSA Conference 2023, San Francisco, CA, USA, April 24–27, 2023, Proceedings (Lecture Notes in Computer Science #13871)
by Mike RosulekThis book constitutes the refereed proceedings of the Cryptographer's Track at the RSA Conference 2023, CT-RSA 2023, held in San Francisco, CA, USA, in April 2023. The 26 full papers presented in this volume were carefully reviewed and selected from 76 submissions. The conference presents papers on subjects such as Cryptographic Implementations, Quantum Cryptanalysis, Advanced Public-Key Encryption, Tools for Privacy-Enhancing Technologies, Symmetric Cryptanalysis, Multiparty Protocols, Digital Signatures, Fault Attacks and Side Channels, Heuristic Approaches, Symmetric-Key Constructions, and Key Agreement.
Topics in Cryptology – CT-RSA 2024: Cryptographers’ Track at the RSA Conference 2024, San Francisco, CA, USA, May 6–9, 2024, Proceedings (Lecture Notes in Computer Science #14643)
by Elisabeth OswaldThis book constitutes the refereed proceedings of the Cryptographer's Track at the RSA Conference 2024, CT-RSA 2024, held in San Francisco, CA, USA, during May 6–9, 2024. The 18 full papers presented in this volume were carefully reviewed and selected from 46 submissions. The conference presents papers on subjects such as public key cryptography; symmetric cryptography; signatures; homomorphic encryption; identity-based encryption; constructions; and threshold signatures and fault attacks.
Topics in Cryptology – CT-RSA 2025: Cryptographers’ Track at the RSA Conference 2025, San Francisco, CA, USA, April 28–May 1, 2025, Proceedings (Lecture Notes in Computer Science #15598)
by Arpita PatraThis book constitutes the refereed proceedings of the Cryptographer's Track at the RSA Conference 2025, CT-RSA 2025, held in San Francisco, CA, USA, during April 28–May 1, 2025. The 17 full papers presented in this volume were carefully reviewed and selected from 49 submissions. They were organized in topical sections as follows: Cryptanalysis; Public-Key Cryptography; Hardware and Software Implementations; Symmetric-Key Cryptography; Multiparty Computation and Zero-Knowledge; White-box Crypto.
Topics in Grammatical Inference
by Jeffrey Heinz José M. SempereThis book explains advanced theoretical andapplication-related issues in grammatical inference, a research area inside theinductive inference paradigm for machine learning. The first three chapters ofthe book deal with issues regarding theoretical learning frameworks; the nextfour chapters focus on the main classes of formal languages according toChomsky's hierarchy, in particular regular and context-free languages; and thefinal chapter addresses the processing of biosequences. The topics chosen are of foundational interest withrelatively mature and established results, algorithms and conclusions. The bookwill be of value to researchers and graduate students in areas such astheoretical computer science, machine learning, computational linguistics, bioinformatics,and cognitive psychology who are engaged with the study of learning, especiallyof the structure underlying the concept to be learned. Some knowledge ofmathematics and theoretical computer science, including formal language theory,automata theory, formal grammars, and algorithmics, is a prerequisite forreading this book.
Topics in Matroid Theory
by Leonidas S. PitsoulisTopics in Matroid Theory provides a brief introduction to matroid theory with an emphasis on algorithmic consequences. Matroid theory is at the heart of combinatorial optimization and has attracted various pioneers such as Edmonds, Tutte, Cunningham and Lawler among others. Matroid theory encompasses matrices, graphs and other combinatorial entities under a common, solid algebraic framework, thereby providing the analytical tools to solve related difficult algorithmic problems. The monograph contains a rigorous axiomatic definition of matroids along with other necessary concepts such as duality, minors, connectivity and representability as demonstrated in matrices, graphs and transversals. The author also presents a deep decomposition result in matroid theory that provides a structural characterization of graphic matroids, and show how this can be extended to signed-graphic matroids, as well as the immediate algorithmic consequences.
Topics in Medical Image Processing and Computational Vision
by Renato M. Natal Jorge Joao Manuel TavaresThe sixteen chapters included in this book were written by invited experts of international recognition and address important issues in Medical Image Processing and Computational Vision, including: Object Recognition, Object Detection, Object Tracking, Pose Estimation, Facial Expression Recognition, Image Retrieval, Data Mining, Automatic Video Understanding and Management, Edges Detection, Image Segmentation, Modelling and Simulation, Medical thermography, Database Systems, Synthetic Aperture Radar and Satellite Imagery. Different applications are addressed and described throughout the book, comprising: Object Recognition and Tracking, Facial Expression Recognition, Image Database, Plant Disease Classification, Video Understanding and Management, Image Processing, Image Segmentation, Bio-structure Modelling and Simulation, Medical Imaging, Image Classification, Medical Diagnosis, Urban Areas Classification, Land Map Generation. The book brings together the current state-of-the-art in the various multi-disciplinary solutions for Medical Image Processing and Computational Vision, including research, techniques, applications and new trends contributing to the development of the related areas.
Topics in Nonlinear Mechanics and Physics: Selected Papers from CSNDD 2018 (Springer Proceedings in Physics #228)
by Mohamed BelhaqThis book presents a selection of contributions from the 4th International Conference on Structural Nonlinear Dynamics and Diagnostics, reflecting diverse aspects of nonlinear and complex dynamics. Fifteen chapters discuss the latest findings and applications in active research areas in nonlinear mechanics and physics. These includes the dynamics of ships with liquid sloshing interaction, dynamics of drops and bubbles, nonlinear drying processes, suppression of time-delayed induced vibrations, dynamics of robotic systems, chaos detection in rolling element, dynamics of a planetary gear system with faults, vibro-impact systems, complex fractional moments for nonlinear systems, oscillations under hysteretic conditions, as well as topics in nonlinear energy harvesting and control.
Topics in Parallel and Distributed Computing: Introducing Concurrency In Undergraduate Courses
by Anshul Gupta Sushil K. Prasad Arnold Rosenberg Alan Sussman Charles WeemsThis book introduces beginning undergraduate students of computing and computational disciplines to modern parallel and distributed programming languages and environments, including map-reduce, general-purpose graphics processing units (GPUs), and graphical user interfaces (GUI) for mobile applications. The book also guides instructors via selected essays on what and how to introduce parallel and distributed computing topics into the undergraduate curricula, including quality criteria for parallel algorithms and programs, scalability, parallel performance, fault tolerance, and energy efficiency analysis. The chapters designed for students serve as supplemental textual material for early computing core courses, which students can use for learning and exercises. The illustrations, examples, and sequences of smaller steps to build larger concepts are also tools that could be inserted into existing instructor material. The chapters intended for instructors are written at a teaching level and serve as a rigorous reference to include learning goals, advice on presentation and use of the material, within early and advanced undergraduate courses. Since Parallel and Distributed Computing (PDC) now permeates most computing activities, imparting a broad-based skill set in PDC technology at various levels in the undergraduate educational fabric woven by Computer Science (CS) and Computer Engineering (CE) programs as well as related computational disciplines has become essential. This book and others in this series aim to address the need for lack of suitable textbook support for integrating PDC-related topics into undergraduate courses, especially in the early curriculum. The chapters are aligned with the curricular guidelines promulgated by the NSF/IEEE-TCPP Curriculum Initiative on Parallel and Distributed Computing for CS and CE students and with the CS2013 ACM/IEEE Computer Science Curricula.
Topics in Quaternion Linear Algebra (Princeton Series in Applied Mathematics #45)
by Leiba RodmanQuaternions are a number system that has become increasingly useful for representing the rotations of objects in three-dimensional space and has important applications in theoretical and applied mathematics, physics, computer science, and engineering. This is the first book to provide a systematic, accessible, and self-contained exposition of quaternion linear algebra. It features previously unpublished research results with complete proofs and many open problems at various levels, as well as more than 200 exercises to facilitate use by students and instructors. Applications presented in the book include numerical ranges, invariant semidefinite subspaces, differential equations with symmetries, and matrix equations.Designed for researchers and students across a variety of disciplines, the book can be read by anyone with a background in linear algebra, rudimentary complex analysis, and some multivariable calculus. Instructors will find it useful as a complementary text for undergraduate linear algebra courses or as a basis for a graduate course in linear algebra. The open problems can serve as research projects for undergraduates, topics for graduate students, or problems to be tackled by professional research mathematicians. The book is also an invaluable reference tool for researchers in fields where techniques based on quaternion analysis are used.
Topics in Rough Set Theory: Current Applications to Granular Computing (Intelligent Systems Reference Library #168)
by Seiki Akama Tetsuya Murai Yasuo KudoThis book discusses current topics in rough set theory. Since Pawlak’s rough set theory was first proposed to offer a basis for imprecise and uncertain data and reasoning from data, many workers have investigated its foundations and applications. Examining various topical issues, including object-oriented rough set models, recommendation systems, decision tables, and granular computing, the book is a valuable resource for students and researchers in the field.
Topics in Theoretical Computer Science
by Mohammad Reza Mousavi Jiří SgallThis book constitutes the refereed proceedings of the Second IFIP WG 1. 8 International Conference on Topics in Theoretical Computer Science, TTCS 2017, held in Tehran, Iran, in September 2017. The 8 papers presented in this volume were carefully reviewed and selected from 20 submissions. They were organized in topical sections named: algorithms and complexity; and logic, semantics, and programming theory.
Topics in Theoretical Computer Science
by Mohammad Reza Mousavi Mohammad Taghi HajiaghayiThis book constitutes the thoroughly refereedpost-conference proceedings of the First IFIP WG 1. 8 International Conferenceon Topics in Theoretical Computer Science, held in Tehran, Iran, in August2015. The 10 full papers presented together with 3invited talks were carefully reviewed and selected from 48 submissions. Thepapers feature novel and high-quality research in all areas of theoreticalcomputer science.
Topics in Theoretical Computer Science: Third IFIP WG 1.8 International Conference, TTCS 2020, Tehran, Iran, July 1–2, 2020, Proceedings (Lecture Notes in Computer Science #12281)
by Luís S. Barbosa Mohammad Ali AbamThis book constitutes the refereed proceedings of the Third IFIP WG 1.8 International Conference on Topics in Theoretical Computer Science, TTCS 2020, held in Tehran, Iran, in July 2020. The conference was held virtually due to the COVID-19 pandemic. The 8 papers presented in this volume were carefully reviewed and selected from 24 submissions. They focus on novel and high-quality research in all areas of theoretical computer science, such as algorithms and complexity; logic, semantics, and programming theory; and more.
Topological Data Analysis: The Abel Symposium 2018 (Abel Symposia #15)
by Markus Szymik Nils A. Baas Gunnar E. Carlsson Gereon Quick Marius ThauleThis book gathers the proceedings of the 2018 Abel Symposium, which was held in Geiranger, Norway, on June 4-8, 2018. The symposium offered an overview of the emerging field of "Topological Data Analysis". This volume presents papers on various research directions, notably including applications in neuroscience, materials science, cancer biology, and immune response. Providing an essential snapshot of the status quo, it represents a valuable asset for practitioners and those considering entering the field.