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EBookClubs

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Book 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing  MLSP 2015

Download or read book 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing MLSP 2015 written by Deniz Erdoğmuş and published by . This book was released on 2015 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing  MLSP

Download or read book 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing MLSP written by IEEE Staff and published by . This book was released on 2015-09-17 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The 25th MLSP workshop will present the most recent and exciting advances in machine learning for signal processing through keynote talks, tutorials, as well as special and regular single track sessions Prospective authors are invited to submit papers on relevant algorithms and applications including, but not limited to Learning theory and techniques Graphical models and kernel methods Data driven adaptive systems and models Pattern recognition and classification Distributed, Bayesian, subspace manifold sparsity aware learning Multiset data analysis and multimodal data fusion Perceptual signal processing in audio, image and video Cognitive information processing Multichannel adaptive and nonlinear signal processing Applications, including speech & audio, image & video, music, biomedical signals & images, communications, bioinformatics, biometrics, computational intelligence, genomic signals & sequences, social networks, games, smart grid, security & privacy

Book Signal Processing and Machine Learning for Biomedical Big Data

Download or read book Signal Processing and Machine Learning for Biomedical Big Data written by Ervin Sejdic and published by CRC Press. This book was released on 2018-07-04 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Within the healthcare domain, big data is defined as any ``high volume, high diversity biological, clinical, environmental, and lifestyle information collected from single individuals to large cohorts, in relation to their health and wellness status, at one or several time points.'' Such data is crucial because within it lies vast amounts of invaluable information that could potentially change a patient's life, opening doors to alternate therapies, drugs, and diagnostic tools. Signal Processing and Machine Learning for Biomedical Big Data thus discusses modalities; the numerous ways in which this data is captured via sensors; and various sample rates and dimensionalities. Capturing, analyzing, storing, and visualizing such massive data has required new shifts in signal processing paradigms and new ways of combining signal processing with machine learning tools. This book covers several of these aspects in two ways: firstly, through theoretical signal processing chapters where tools aimed at big data (be it biomedical or otherwise) are described; and, secondly, through application-driven chapters focusing on existing applications of signal processing and machine learning for big biomedical data. This text aimed at the curious researcher working in the field, as well as undergraduate and graduate students eager to learn how signal processing can help with big data analysis. It is the hope of Drs. Sejdic and Falk that this book will bring together signal processing and machine learning researchers to unlock existing bottlenecks within the healthcare field, thereby improving patient quality-of-life. Provides an overview of recent state-of-the-art signal processing and machine learning algorithms for biomedical big data, including applications in the neuroimaging, cardiac, retinal, genomic, sleep, patient outcome prediction, critical care, and rehabilitation domains. Provides contributed chapters from world leaders in the fields of big data and signal processing, covering topics such as data quality, data compression, statistical and graph signal processing techniques, and deep learning and their applications within the biomedical sphere. This book’s material covers how expert domain knowledge can be used to advance signal processing and machine learning for biomedical big data applications.

Book Proceedings of the 12th International Conference on Soft Computing for Problem Solving

Download or read book Proceedings of the 12th International Conference on Soft Computing for Problem Solving written by Millie Pant and published by Springer Nature. This book was released on with total page 942 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Proceeding of the International Conference on Computer Networks  Big Data and IoT  ICCBI   2018

Download or read book Proceeding of the International Conference on Computer Networks Big Data and IoT ICCBI 2018 written by A.Pasumpon Pandian and published by Springer. This book was released on 2019-07-31 with total page 1097 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the International Conference on Computer Networks, Big Data and IoT (ICCBI-2018), held on December 19–20, 2018 in Madurai, India. In recent years, advances in information and communication technologies [ICT] have collectively aimed to streamline the evolution of internet applications. In this context, increasing the ubiquity of emerging internet applications with an enhanced capability to communicate in a distributed environment has become a major need for existing networking models and applications. To achieve this, Internet of Things [IoT] models have been developed to facilitate a smart interconnection and information exchange among modern objects – which plays an essential role in every aspect of our lives. Due to their pervasive nature, computer networks and IoT can easily connect and engage effectively with their network users. This vast network continuously generates data from heterogeneous devices, creating a need to utilize big data, which provides new and unprecedented opportunities to process these huge volumes of data. This International Conference on Computer Networks, Big Data, and Internet of Things [ICCBI] brings together state-of-the-art research work, which briefly describes advanced IoT applications in the era of big data. As such, it offers valuable insights for researchers and scientists involved in developing next-generation, big-data-driven IoT applications to address the real-world challenges in building a smartly connected environment.

Book Soft Computing and Signal Processing

Download or read book Soft Computing and Signal Processing written by V. Sivakumar Reddy and published by Springer Nature. This book was released on 2021-05-20 with total page 729 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Third International Conference on Soft Computing and Signal Processing (ICSCSP 2020). The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues.

Book Bridging Music Informatics with Music Cognition

Download or read book Bridging Music Informatics with Music Cognition written by Naresh N. Vempala and published by Frontiers Media SA. This book was released on 2018-09-14 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Music informatics is an interdisciplinary research area that encompasses data driven approaches to the analysis, generation, and retrieval of music. In the era of big data, two goals weigh heavily on many research agendas in this area: (a) the identification of better features and (b) the acquisition of better training data. To this end, researchers have started to incorporate findings and methods from music cognition, a related but historically distinct research area that is concerned with elucidating the underlying mental processes involved in music-related behavior.

Book Cooperative and Graph Signal Processing

Download or read book Cooperative and Graph Signal Processing written by Petar Djuric and published by Academic Press. This book was released on 2018-07-04 with total page 866 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cooperative and Graph Signal Processing: Principles and Applications presents the fundamentals of signal processing over networks and the latest advances in graph signal processing. A range of key concepts are clearly explained, including learning, adaptation, optimization, control, inference and machine learning. Building on the principles of these areas, the book then shows how they are relevant to understanding distributed communication, networking and sensing and social networks. Finally, the book shows how the principles are applied to a range of applications, such as Big data, Media and video, Smart grids, Internet of Things, Wireless health and Neuroscience. With this book readers will learn the basics of adaptation and learning in networks, the essentials of detection, estimation and filtering, Bayesian inference in networks, optimization and control, machine learning, signal processing on graphs, signal processing for distributed communication, social networks from the perspective of flow of information, and how to apply signal processing methods in distributed settings. Presents the first book on cooperative signal processing and graph signal processing Provides a range of applications and application areas that are thoroughly covered Includes an editor in chief and associate editor from the IEEE Transactions on Signal Processing and Information Processing over Networks who have recruited top contributors for the book

Book Advances in Emerging Trends and Technologies

Download or read book Advances in Emerging Trends and Technologies written by Miguel Botto-Tobar and published by Springer Nature. This book was released on 2019-10-12 with total page 557 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 1st International Conference on Advances in Emerging Trends and Technologies (ICAETT 2019), held in Quito, Ecuador, on 29–31 May 2019, jointly organized by Universidad Tecnológica Israel, Universidad Técnica del Norte, and Instituto Tecnológico Superior Rumiñahui, and supported by SNOTRA. ICAETT 2019 brought together top researchers and practitioners working in different domains of computer science to share their expertise and to discuss future developments and potential collaborations. Presenting high-quality, peer-reviewed papers, the book discusses the following topics: Technology Trends Electronics Intelligent Systems Machine Vision Communication Security e-Learning e-Business e-Government and e-Participation

Book Communication  Software and Networks

Download or read book Communication Software and Networks written by Vikrant Bhateja and published by Springer Nature. This book was released on 2022-10-27 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights a collection of high-quality peer-reviewed research papers presented at the 7th International Conference on Information System Design and Intelligent Applications (INDIA 2022), held at BVRIT Hyderabad College of Engineering for Women, Hyderabad, Telangana, India, from February 25–26, 2022. It covers a wide range of topics in computer science and information technology, from wireless networks, social networks, wireless sensor networks, information and network security, to web security, Internet of Things, bioinformatics, geoinformatics, and computer networks.

Book Digitalization Cases

    Book Details:
  • Author : Nils Urbach
  • Publisher : Springer
  • Release : 2018-09-20
  • ISBN : 3319952730
  • Pages : 429 pages

Download or read book Digitalization Cases written by Nils Urbach and published by Springer. This book was released on 2018-09-20 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a rich compilation of real-world cases on digitalization, the goal being to share first-hand insights from respected organizations and to make digitalization more tangible. As virtually every economic and societal sector is now being challenged by emerging technologies, the digital economy is a highly volatile, uncertain, complex and ambiguous place – and one that holds substantial challenges and opportunities for established organizations. Against this backdrop, this book reports on best practices and lessons learned from organizations that have succeeded in overcoming the challenges and seizing the opportunities of the digital economy. It illustrates how twenty-one organizations have leveraged their capabilities to create disruptive innovations, to develop digital business models, and to digitally transform themselves. These cases stem from various industries (e.g. automotive, insurance, consulting, and public services) and countries, reflecting the many facets of digitalization. As all case descriptions follow a uniform schema, they are easily accessible, and provide insightful examples for practitioners as well as interesting cases for researchers, teachers and students. Digitalization is reshaping business on a global scale, and it is evident that organizations must transform to thrive in the digital economy. Digitalization Cases provides first-hand insights into the efforts of renowned companies. The presented actions, results, and lessons learned are a great inspiration for managers, students, and academics. Anna Kopp, Head of IT Germany, Microsoft Understanding digitalization in all its facets requires knowledge about its opportunities and challenges in different contexts. Providing 21 cases from different companies all around the world, Digitalization Cases makes an important contribution toward the comprehensibility of digitalization – from a practical and a scientific point of view. Dorothy Leidner, Ferguson Professor of Information Systems, Baylor University This book is a great source of inspiration and insight on how to drive digitalization. It shows easy to understand good practice examples which illustrate opportunities, and at the same time helps to learn what needs to be done to realize them. I consider this book a must-read for every practitioner who cares about digitalization. Martin Petry, Chief Information Officer and Head of Business Excellence, Hilti

Book Information and Communication Technology for Sustainable Development

Download or read book Information and Communication Technology for Sustainable Development written by Milan Tuba and published by Springer. This book was released on 2019-06-26 with total page 843 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book proposes new technologies and discusses future solutions for ICT design infrastructures, and includes high-quality submissions presented at the Third International Conference on ICT for Sustainable Development (ICT4SD 2018), held in Goa, India on 30–31 August 2018. The conference stimulated cutting-edge research discussions among pioneering researchers, scientists, industrial engineers, and students from all around the world. Bringing together experts from different countries, the book focuses on innovative issues at an international level.

Book Latent Variable Analysis and Signal Separation

Download or read book Latent Variable Analysis and Signal Separation written by Yannick Deville and published by Springer. This book was released on 2018-06-05 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 14th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2018, held in Guildford, UK, in July 2018.The 52 full papers were carefully reviewed and selected from 62 initial submissions. As research topics the papers encompass a wide range of general mixtures of latent variables models but also theories and tools drawn from a great variety of disciplines such as structured tensor decompositions and applications; matrix and tensor factorizations; ICA methods; nonlinear mixtures; audio data and methods; signal separation evaluation campaign; deep learning and data-driven methods; advances in phase retrieval and applications; sparsity-related methods; and biomedical data and methods.

Book Perception  Representations  Image  Sound  Music

Download or read book Perception Representations Image Sound Music written by Richard Kronland-Martinet and published by Springer Nature. This book was released on 2021-03-09 with total page 726 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th International Symposium on Perception, Representations, Image, Sound, Music, CMMR 2019, held in Marseille, France, in October 2019. The 46 full papers presented were selected from 105 submissions. The papers are grouped in 9 sections. The first three sections are related to music information retrieval, computational musicology and composition tools, followed by a section on notations and instruments distributed on mobile devices. The fifth section concerns auditory perception and cognition, while the three following sections are related to sound design and sonic and musical interactions. The last section contains contributions that relate to Jean-Claude Risset's research.

Book Business Information Systems

Download or read book Business Information Systems written by Witold Abramowicz and published by Springer. This book was released on 2019-06-18 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNBIP 353 and 354 constitutes the proceedings of the 22nd International Conference on Business Information Systems, BIS 2019, held in Seville, Spain, in June 2019. The theme of the BIS 2019 was "Data Science for Business Information Systems", inspiring researchers to share theoretical and practical knowledge of the different aspects related to Data Science in enterprises. The 67 papers presented in these proceedings were carefully reviewed and selected from 223 submissions. The contributions were organized in topical sections as follows: Part I: Big Data and Data Science; Artificial Intelligence; ICT Project Management; and Smart Infrastructure. Part II: Social Media and Web-based Systems; and Applications, Evaluations and Experiences.

Book Towards Autonomous Robotic Systems

Download or read book Towards Autonomous Robotic Systems written by Manuel Giuliani and published by Springer. This book was released on 2018-07-21 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 19th Annual Conference on Towards Autonomous Robotics, TAROS 2018, held in Bristol, UK, in July 2018. The 38 full papers presented together with 14 short papers were carefully reviewed and selected from 68 submissions. The papers focus on presentation and discussion of the latest results and methods in autonomous robotics research and applications. The conference offers a friendly environment for robotics researchers and industry to take stock and plan future progress.

Book Proceeding of First Doctoral Symposium on Natural Computing Research

Download or read book Proceeding of First Doctoral Symposium on Natural Computing Research written by Varsha H. Patil and published by Springer Nature. This book was released on 2021-03-18 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a collection of papers presented at First Doctoral Symposium on Natural Computing Research (DSNCR 2020), held during 8 August 2020 in Pune, India. The book covers different topics of applied and natural computing methods having applications in physical sciences and engineering. The book focuses on computer vision and applications, soft computing, security for Internet of Things, security in heterogeneous networks, signal processing, intelligent transportation system, VLSI design and embedded systems, privacy and confidentiality, big data and cloud computing, bioinformatics and systems biology, remote healthcare, software security, mobile and pervasive computing, biometrics-based authentication, natural language processing, analysis and verification techniques, large scale networking, distributed systems, digital forensics, and human–computer interaction.