Author : Matthias Thürer
Publisher : Springer Nature
Page : 508 pages
File Size : 47,93 MB
Release :
Category :
ISBN : 3031658949
Author : Dana Simian
Publisher : Springer Nature
Page : 348 pages
File Size : 31,70 MB
Release : 2023-02-25
Category : Computers
ISBN : 3031270347
This book constitutes the refereed proceedings of the 8th International Conference on Modelling and Development of Intelligent Systems, MDIS 2022, held in Sibiu, Romania, during October 28–30, 2022. The 21 papers included in this book were carefully reviewed and selected from 48 submissions. They were organized in the following topical sections as follows: intelligent systems for decision support; machine learning; mathematical models for development of intelligent systems; and modelling and optimization of dynamic systems.
Author : Ajith Abraham
Publisher : Springer Nature
Page : 931 pages
File Size : 11,66 MB
Release : 2023-03-27
Category : Technology & Engineering
ISBN : 3031275241
This book highlights the recent research on soft computing, pattern recognition, nature-inspired computing, and their various practical applications. It presents 69 selected papers from the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2022) and 19 papers from the 14th World Congress on Nature and Biologically Inspired Computing (NaBIC 2022), which was held online, from December 14 to 16, 2022. A premier conference in the field of soft computing, artificial intelligence, and machine learning applications, SoCPaR-NaBIC 2022 brought together researchers, engineers, and practitioners whose work involves intelligent systems, network security, and their applications in industry. Including contributions by authors from over 25 countries, the book offers a valuable reference guide for all researchers, students, and practitioners in the fields of computer science and engineering.
Author : Mishra, Brojo Kishore
Publisher : IGI Global
Page : 602 pages
File Size : 31,57 MB
Release : 2023-09-18
Category : Technology & Engineering
ISBN :
In today's world, the pressing challenges of sustainable development and societal progress demand innovative solutions that harness the power of science and technology. From climate change to resource depletion and social inequalities, the urgency to find sustainable, intelligent, and ethical approaches has never been greater. Academic scholars and researchers play a crucial role in driving these advancements but often struggle to find comprehensive resources that bridge the gap between theory and real-world applications. The need of the hour is a definitive guide that unites expertise from diverse disciplines and offers practical insights into leveraging sustainable science and intelligent technologies to create meaningful societal development. Sustainable Science and Intelligent Technologies for Societal Development, edited by Brojo Kishore Mishra of GIET University, India, is the much-awaited solution to the challenges faced by academic scholars and researchers. This persuasive book brings together an esteemed collection of leading experts, academics, and industry professionals, all dedicated to addressing global challenges through the lens of applied sciences and intelligent technology applications. By presenting a wide range of innovative topics, such as renewable energy, smart healthcare, sustainable finance, and more, the book serves as a comprehensive resource that empowers scholars with actionable knowledge and innovative ideas. The book not only covers the theoretical aspects but also delves into the ethical considerations essential in shaping the future. In a world increasingly dependent on technology, it is vital to ensure that societal development aligns with principles of inclusivity, fairness, and environmental responsibility. With a focus on the United Nations Sustainable Development Goals (SDGs), the book provides a clear roadmap for scholars to contribute meaningfully to global progress. By offering concrete examples and real-world case studies, the book enables researchers to grasp the potential impact of their work, fostering collaborations that transcend traditional disciplinary boundaries. Sustainable Science and Intelligent Technologies for Societal Development is the go-to resource for academic scholars, scientists, researchers, innovators, industry professionals, and students who seek to be effective in the world. As a comprehensive guide that blends sustainable science and intelligent technologies with ethical considerations, this book equips its readers to create tangible solutions that address pressing global challenges. Through collective knowledge and interdisciplinary collaboration, this book stands as a beacon of hope and inspiration for driving meaningful societal development, paving the way for a more sustainable and prosperous future.
Author : Gaetano Gargiulo
Publisher : BoD – Books on Demand
Page : 516 pages
File Size : 20,3 MB
Release : 2011-08-23
Category : Medical
ISBN : 9533072563
This book presents a collection of recent and extended academic works in selected topics of biomedical technology, biomedical instrumentations, biomedical signal processing and bio-imaging. This wide range of topics provide a valuable update to researchers in the multidisciplinary area of biomedical engineering and an interesting introduction for engineers new to the area. The techniques covered include modelling, experimentation and discussion with the application areas ranging from bio-sensors development to neurophysiology, telemedicine and biomedical signal classification.
Author : João Silva Sequeira
Publisher : Springer Nature
Page : 134 pages
File Size : 15,13 MB
Release : 2020-02-17
Category : Medical
ISBN : 3030242307
The work is a collection of contributions resulting from R&D efforts originated from scientific projects involving academia, technological partners, and end-user institutions. The aim is to provide a comprehensive overview of robotics technology applied to Healthcare, and discuss the anticipation of upcoming challenges. The intersection of Robotics and Medicine includes socially and economically relevant areas, such as rehabilitation, therapy, and healthcare. Innovative usages of current robotics technologies are being somewhat stranded by concerns related to social dynamics. The examples covered in this volume show some of the potential societal benefits robotics can bring and how the robots are being integrated in social environments. Despite the aforementioned concerns, a fantastic range of possibilities is being opened. The current trend in social robotics adds to technology challenges and requires R&D to think about Robotics as an horizontal discipline, intersecting social and exact sciences. For example, robots that can act as if they have credible personalities (not necessarily similar to humans) living in social scenarios, eventually helping people. Also, robots can move inside the human body to retrieve information that otherwise is difficult to obtain. The decision autonomy of these robots raises a broad range of subjects though the immediate advantages of its use are evident. The book presents examples of robotics technologies tested in healthcare environments or realistically close to being deployed in the field and discusses the challenges involved. Chapter 1 provides a comprehensive overview of Healthcare robotics and points to realistically expectable developments in the near future. Chapter 2 describes the challenges deploying a social robot in the Pediatrics ward of an Oncological hospital for simple edutainment activities. Chapter 3 focuses on Human-Robot Interaction techniques and their role in social robotics. Chapter 4 focus on R&D efforts behind an endoscopic capsule robot. Chapter 5 addresses experiments in rehabilitation with orthotics and walker robots. These examples have deep social and economic relations with the Healthcare field, and, at the same time, are representative of the R&D efforts the robotics community is developing.
Author : Usman Qamar
Publisher : Springer Nature
Page : 492 pages
File Size : 20,21 MB
Release : 2023-04-02
Category : Computers
ISBN : 3031174429
This textbook comprehensively covers both fundamental and advanced topics related to data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. The chapters of this book are organized into three parts: The first part (chapters 1 to 3) is a general introduction to data science. Starting from the basic concepts, the book will highlight the types of data, its use, its importance and issues that are normally faced in data analytics, followed by presentation of a wide range of applications and widely used techniques in data science. The second part, which has been updated and considerably extended compared to the first edition, is devoted to various techniques and tools applied in data science. Its chapters 4 to 10 detail data pre-processing, classification, clustering, text mining, deep learning, frequent pattern mining, and regression analysis. Eventually, the third part (chapters 11 and 12) present a brief introduction to Python and R, the two main data science programming languages, and shows in a completely new chapter practical data science in the WEKA (Waikato Environment for Knowledge Analysis), an open-source tool for performing different machine learning and data mining tasks. An appendix explaining the basic mathematical concepts of data science completes the book. This textbook is suitable for advanced undergraduate and graduate students as well as for industrial practitioners who carry out research in data science. They both will not only benefit from the comprehensive presentation of important topics, but also from the many application examples and the comprehensive list of further readings, which point to additional publications providing more in-depth research results or provide sources for a more detailed description of related topics. "This book delivers a systematic, carefully thoughtful material on Data Science." from the Foreword by Witold Pedrycz, U Alberta, Canada.
Author : Fay Huang
Publisher : John Wiley & Sons
Page : 284 pages
File Size : 27,94 MB
Release : 2008-10-13
Category : Technology & Engineering
ISBN : 047099827X
Panoramic imaging is a progressive application and research area. This technology has applications in digital photography, robotics, film productions for panoramic screens, architecture, environmental studies, remote sensing and GIS technology. Applications demand different levels of accuracy for 3D documentation or visualizations. This book describes two modern technologies for capturing high-accuracy panoramic images and range data, namely the use of sensor-line cameras and laser range-finders. It provides mathematically accurate descriptions of the geometry of these sensing technologies and the necessary information required to apply them to 3D scene visualization or 3D representation. The book is divided into three parts: Part One contains a full introduction to panoramic cameras and laser range-finders, including a discussion of calibration to aid preparation of equipment ready for use. Part Two explains the concept of stereo panoramic imaging, looking at epipolar geometry, spatial sampling, image quality control and camera analysis and design. Part Three looks at surface modelling and rendering based on panoramic input data, starting with the basics and taking the reader through to more advanced techniques such as the optimization of surface meshes and data fusion. There is also an accompanying website containing high-resolution visual samples and animations, illustrating techniques discussed in the text. Panoramic Imaging is primarily aimed at researchers and students in engineering or computer science involved in using imaging technologies for 3D visualization or 3D scene reconstruction. It is also of significant use as an advanced manual to practising engineers in panoramic imaging. In brief, the book is of value to all those interested in current developments in multimedia imaging technology
Author : Muhammad Summair Raza
Publisher : Springer
Page : 200 pages
File Size : 18,25 MB
Release : 2017-06-28
Category : Computers
ISBN : 9811049653
The book will provide: 1) In depth explanation of rough set theory along with examples of the concepts. 2) Detailed discussion on idea of feature selection. 3) Details of various representative and state of the art feature selection techniques along with algorithmic explanations. 4) Critical review of state of the art rough set based feature selection methods covering strength and weaknesses of each. 5) In depth investigation of various application areas using rough set based feature selection. 6) Complete Library of Rough Set APIs along with complexity analysis and detailed manual of using APIs 7) Program files of various representative Feature Selection algorithms along with explanation of each. The book will be a complete and self-sufficient source both for primary and secondary audience. Starting from basic concepts to state-of-the art implementation, it will be a constant source of help both for practitioners and researchers. Book will provide in-depth explanation of concepts supplemented with working examples to help in practical implementation. As far as practical implementation is concerned, the researcher/practitioner can fully concentrate on his/her own work without any concern towards implementation of basic RST functionality. Providing complexity analysis along with full working programs will further simplify analysis and comparison of algorithms.
Author :
Publisher :
Page : 431 pages
File Size : 17,83 MB
Release : 2012
Category :
ISBN : 9781467348911
