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Book Positioning and Navigation Using Machine Learning Methods

Download or read book Positioning and Navigation Using Machine Learning Methods written by Kegen Yu and published by Springer Nature. This book was released on with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Wireless Indoor Localization

Download or read book Wireless Indoor Localization written by Chenshu Wu and published by Springer. This book was released on 2018-08-22 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive and in-depth understanding of wireless indoor localization for ubiquitous applications. The past decade has witnessed a flourishing of WiFi-based indoor localization, which has become one of the most popular localization solutions and has attracted considerable attention from both the academic and industrial communities. Specifically focusing on WiFi fingerprint based localization via crowdsourcing, the book follows a top-down approach and explores the three most important aspects of wireless indoor localization: deployment, maintenance, and service accuracy. After extensively reviewing the state-of-the-art literature, it highlights the latest advances in crowdsourcing-enabled WiFi localization. It elaborated the ideas, methods and systems for implementing the crowdsourcing approach for fingerprint-based localization. By tackling the problems such as: deployment costs of fingerprint database construction, maintenance overhead of fingerprint database updating, floor plan generation, and location errors, the book offers a valuable reference guide for technicians and practitioners in the field of location-based services. As the first of its kind, introducing readers to WiFi-based localization from a crowdsourcing perspective, it will greatly benefit and appeal to scientists and researchers in mobile and ubiquitous computing and related areas.

Book Dynamic Neural Networks for Robot Systems  Data Driven and Model Based Applications

Download or read book Dynamic Neural Networks for Robot Systems Data Driven and Model Based Applications written by Long Jin and published by Frontiers Media SA. This book was released on 2024-07-24 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural network control has been a research hotspot in academic fields due to the strong ability of computation. One of its wildly applied fields is robotics. In recent years, plenty of researchers have devised different types of dynamic neural network (DNN) to address complex control issues in robotics fields in reality. Redundant manipulators are no doubt indispensable devices in industrial production. There are various works on the redundancy resolution of redundant manipulators in performing a given task with the manipulator model information known. However, it becomes knotty for researchers to precisely control redundant manipulators with unknown model to complete a cyclic-motion generation CMG task, to some extent. It is worthwhile to investigate the data-driven scheme and the corresponding novel dynamic neural network (DNN), which exploits learning and control simultaneously. Therefore, it is of great significance to further research the special control features and solve challenging issues to improve control performance from several perspectives, such as accuracy, robustness, and solving speed.

Book Machine Learning for Indoor Localization and Navigation

Download or read book Machine Learning for Indoor Localization and Navigation written by Saideep Tiku and published by Springer Nature. This book was released on 2023-06-29 with total page 563 pages. Available in PDF, EPUB and Kindle. Book excerpt: While GPS is the de-facto solution for outdoor positioning with a clear sky view, there is no prevailing technology for GPS-deprived areas, including dense city centers, urban canyons, buildings and other covered structures, and subterranean facilities such as underground mines, where GPS signals are severely attenuated or totally blocked. As an alternative to GPS for the outdoors, indoor localization using machine learning is an emerging embedded and Internet of Things (IoT) application domain that is poised to reinvent the way we navigate in various indoor environments. This book discusses advances in the applications of machine learning that enable the localization and navigation of humans, robots, and vehicles in GPS-deficient environments. The book explores key challenges in the domain, such as mobile device resource limitations, device heterogeneity, environmental uncertainties, wireless signal variations, and security vulnerabilities. Countering these challenges can improve the accuracy, reliability, predictability, and energy-efficiency of indoor localization and navigation. The book identifies severalnovel energy-efficient, real-time, and robust indoor localization techniques that utilize emerging deep machine learning and statistical techniques to address the challenges for indoor localization and navigation. In particular, the book: Provides comprehensive coverage of the application of machine learning to the domain of indoor localization; Presents techniques to adapt and optimize machine learning models for fast, energy-efficient indoor localization; Covers design and deployment of indoor localization frameworks on mobile, IoT, and embedded devices in real conditions.

Book Implementing Industry 4 0

Download or read book Implementing Industry 4 0 written by Carlos Toro and published by Springer Nature. This book was released on 2021-04-03 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book relates research being implemented in three main research areas: secure connectivity and intelligent systems, real-time analytics and manufacturing knowledge and virtual manufacturing. Manufacturing SMEs and MNCs want to see how Industry 4.0 is implemented. On the other hand, groundbreaking research on this topic is constantly growing. For the aforesaid reason, the Singapore Agency for Science, Technology and Research (A*STAR), has created the model factory initiative. In the model factory, manufacturers, technology providers and the broader industry can (i) learn how I4.0 technologies are implemented on real-world manufacturing use-cases, (ii) test process improvements enabled by such technologies at the model factory facility, without disrupting their own operations, (iii) co-develop technology solutions and (iv) support the adoption of solutions at their everyday industrial operation. The book constitutes a clear base ground not only for inspiration of researchers, but also for companies who will want to adopt smart manufacturing approaches coming from Industry 4.0 in their pathway to digitization.

Book Robotics  Computer Vision and Intelligent Systems

Download or read book Robotics Computer Vision and Intelligent Systems written by Joaquim Filipe and published by Springer Nature. This book was released on with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book VLSI and Hardware Implementations using Modern Machine Learning Methods

Download or read book VLSI and Hardware Implementations using Modern Machine Learning Methods written by Sandeep Saini and published by CRC Press. This book was released on 2021-12-30 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning is a potential solution to resolve bottleneck issues in VLSI via optimizing tasks in the design process. This book aims to provide the latest machine-learning–based methods, algorithms, architectures, and frameworks designed for VLSI design. The focus is on digital, analog, and mixed-signal design techniques, device modeling, physical design, hardware implementation, testability, reconfigurable design, synthesis and verification, and related areas. Chapters include case studies as well as novel research ideas in the given field. Overall, the book provides practical implementations of VLSI design, IC design, and hardware realization using machine learning techniques. Features: Provides the details of state-of-the-art machine learning methods used in VLSI design Discusses hardware implementation and device modeling pertaining to machine learning algorithms Explores machine learning for various VLSI architectures and reconfigurable computing Illustrates the latest techniques for device size and feature optimization Highlights the latest case studies and reviews of the methods used for hardware implementation This book is aimed at researchers, professionals, and graduate students in VLSI, machine learning, electrical and electronic engineering, computer engineering, and hardware systems.

Book Proceedings of the 12th International Conference on Robotics  Vision  Signal Processing and Power Applications

Download or read book Proceedings of the 12th International Conference on Robotics Vision Signal Processing and Power Applications written by Nur Syazreen Ahmad and published by Springer Nature. This book was released on with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Machine Learning Methods for High Level Cognitive Capabilities in Robotics

Download or read book Machine Learning Methods for High Level Cognitive Capabilities in Robotics written by Emre Ugur and published by Frontiers Media SA. This book was released on 2019-12-24 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Handbook of Research on AI Methods and Applications in Computer Engineering

Download or read book Handbook of Research on AI Methods and Applications in Computer Engineering written by Kaddoura, Sanaa and published by IGI Global. This book was released on 2023-01-30 with total page 659 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of artificial intelligence (AI) involves the creation of computer systems that can do activities that would ordinarily require human intelligence, such as visual perception, speech recognition, decision making, and language translation. Through increasingly complex programming approaches, it has been transforming and advancing the discipline of computer science. The Handbook of Research on AI Methods and Applications in Computer Engineering illuminates how today’s computer engineers and scientists can use AI in real-world applications. It focuses on a few current and emergent AI applications, allowing a more in-depth discussion of each topic. Covering topics such as biomedical research applications, navigation systems, and search engines, this premier reference source is an excellent resource for computer scientists, computer engineers, IT managers, students and educators of higher education, librarians, researchers, and academicians.

Book Advanced Location Based Technologies and Services

Download or read book Advanced Location Based Technologies and Services written by Hassan A. Karimi and published by CRC Press. This book was released on 2013-05-24 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to the rapid increase in the number of mobile device users worldwide, location-based services (LBSs) have become pervasive, and the demand for them will continue to grow. Exploring recent changes in the technology and its uses, Advanced Location-Based Technologies and Services takes an in-depth look at new and existing technologies, techniques, applications, and opportunities. Under the editorial guidance of Hassan Karimi, with contributions from experts in the field, the book examines the breadth and depth of advanced LBS technologies and techniques. The book provides up-to-date information on LBSs, including WiFi fingerprinting, geo-crowdsouring, and location privacy as well as application areas such as LBSs for public health, indoor navigation, pedestrian navigation, and advertising. Highlights include discussions of Location-Based Social Networking (LBSN) and the latest developments in geospatial clouds and how they can be used. It takes a look into the future with coverage of emerging technologies that will shape the future generation of LBSs. Carefully designed to cover a range of topics for readers at different levels and with different backgrounds, the book provides a balance of knowledge between LBS theories, technologies, and applications. The caliber of the contributions coupled with the depth of coverage make the book an essential resource for anyone exploring the potential of the latest developments in LBSs.

Book Machine Learning Proceedings 1995

Download or read book Machine Learning Proceedings 1995 written by Armand Prieditis and published by Morgan Kaufmann. This book was released on 2014-06-28 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Proceedings 1995

Book Recent Advances in Indoor Localization Systems and Technologies

Download or read book Recent Advances in Indoor Localization Systems and Technologies written by Gyula Simon and published by MDPI. This book was released on 2021-08-30 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite the enormous technical progress seen in the past few years, the maturity of indoor localization technologies has not yet reached the level of GNSS solutions. The 23 selected papers in this book present the recent advances and new developments in indoor localization systems and technologies, propose novel or improved methods with increased performance, provide insight into various aspects of quality control, and also introduce some unorthodox positioning methods.

Book Autonomous Driving and Advanced Driver Assistance Systems  ADAS

Download or read book Autonomous Driving and Advanced Driver Assistance Systems ADAS written by Lentin Joseph and published by CRC Press. This book was released on 2021-12-15 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: Autonomous Driving and Advanced Driver-Assistance Systems (ADAS): Applications, Development, Legal Issues, and Testing outlines the latest research related to autonomous cars and advanced driver-assistance systems, including the development, testing, and verification for real-time situations of sensor fusion, sensor placement, control algorithms, and computer vision. Features: Co-edited by an experienced roboticist and author and an experienced academic Addresses the legal aspect of autonomous driving and ADAS Presents the application of ADAS in autonomous vehicle parking systems With an infinite number of real-time possibilities that need to be addressed, the methods and the examples included in this book are a valuable source of information for academic and industrial researchers, automotive companies, and suppliers.

Book Data Enabled Intelligence for Medical Technology Innovation  Volume I

Download or read book Data Enabled Intelligence for Medical Technology Innovation Volume I written by Nianyin Zeng and published by Frontiers Media SA. This book was released on 2022-02-21 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Machine Vision and Machine Learning for Plant Phenotyping and Precision Agriculture

Download or read book Machine Vision and Machine Learning for Plant Phenotyping and Precision Agriculture written by Huajian Liu and published by Frontiers Media SA. This book was released on 2024-01-18 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Plant phenotyping (PP) describes the physiological and biochemical properties of plants affected by both genotypes and environments. It is an emerging research field that is assisting the breeding and cultivation of new crop varieties to be more productive and resilient to challenging environments. Precision agriculture (PA) uses sensing technologies to observe crops and then manage them optimally to ensure that they grow in healthy conditions, have maximum productivity, and have minimal negative effects on the environment. Traditionally, the observation of plant traits heavily relies on human experts which is labor intensive, time-consuming, and subjective. Automatic crop traits measurement in PP and PA are two different fields, but they share the same sensing and data processing technologies in many respects. Recently, driven by computer and sensor technologies, machine vision (MV) and machine learning (ML) have contributed to accurate, high-throughput, and nondestructive plant phenotyping and precision agriculture. However, these technologies are still in their infant stage and there are many challenges and questions related to them that still need to be addressed. The goal of this Research Topic is to provide a platform to share the latest research results on the application of MV and ML for PP and PA. It aims to highlight cutting-edge technologies, bottle-necks, and future research directions for MV and ML in crop breeding, crop cultivation, disease management, weed control, and pest control.

Book Advances in Manufacturing Technology XXXIV

Download or read book Advances in Manufacturing Technology XXXIV written by M. Shafik and published by IOS Press. This book was released on 2021-09-23 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: The development of technologies and management of operations is key to sustaining the success of manufacturing businesses, and since the late 1970s, the International Conference on Manufacturing Research (ICMR) has been a major annual event for academics and industrialists engaged in manufacturing research. The conference is renowned as a friendly and inclusive platform that brings together a broad community of researchers who share a common goal. This book presents the proceedings of ICMR2021, the 18th International Conference on Manufacturing Research, incorporating the 35th National Conference on Manufacturing Research, and held in Derby, UK, from 7 to 10 September 2021. The theme of the ICMR2021 conference is digital manufacturing. Within the context of Industrial 4.0, ICMR2021 provided a platform for researchers, academics and industrialists to share their vision, knowledge and experience, and to discuss emerging trends and new challenges in the field. The 60 papers included in the book are divided into 10 parts, each covering a different area of manufacturing research. These are: digital manufacturing, smart manufacturing; additive manufacturing; robotics and industrial automation; composite manufacturing; machining processes; product design and development; information and knowledge management; lean and quality management; and decision support and production optimization. The book will be of interest to all those involved in developing and managing new techniques in manufacturing industry.