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Author : Xin Jin,Jingyu Hou,Shin-Jye Lee,Dongming Zhou
Publisher : Frontiers Media SA
Page : 179 pages
File Size : 41,5 Mb
Release : 2022-09-13
Category : Science
ISBN : 9782889769452
Author : Xin Jin,Jingyu Hou,Zhou Wei,Shin-Jye Lee
Publisher : Frontiers Media SA
Page : 180 pages
File Size : 46,9 Mb
Release : 2023-06-27
Category : Science
ISBN : 9782832524596
Author : Qiguang Miao
Publisher : BoD – Books on Demand
Page : 146 pages
File Size : 51,7 Mb
Release : 2013-11-20
Category : Computers
ISBN : 9789535112068
Image Fusion is an important branch of information fusion, and it is also an important technology for image understanding and computer vision. The fusion process is to merging different images into one to get more accurate description for the scene. The original images for image fusion are always obtained by several different image sensors, or the same sensor in different operating modes. The fused image can provide more effective information for further image processing, such as image segmentation, object detection and recognition. Image fusion is a new study field which combined with many different disciplines, such as sensors, signal processing, image processing, computer and artificial intelligence. In the past two decades, a large number of research literatures appear. This book is edited based on these research results, and many research scholars give a great help to this book.
Author : V.V.S.S.S. Chakravarthy,Vikrant Bhateja,Wendy Flores Fuentes,Jaume Anguera,K. Padma Vasavi
Publisher : Springer Nature
Page : 692 pages
File Size : 44,8 Mb
Release : 2023-05-23
Category : Technology & Engineering
ISBN : 9789811988653
The book discusses the latest developments and outlines future trends in the fields of microelectronics, electromagnetics and telecommunication. It contains original research works presented at the International Conference on Microelectronics, Electromagnetics and Telecommunication (ICMEET 2022), held in Bheemavaram, West Godavari (Dist), Andhra Pradesh, India during 22 – 23 July 2022. The papers were written by scientists, research scholars and practitioners from leading universities, engineering colleges and R&D institutes from all over the world, and share the latest breakthroughs in and promising solutions to the most important issues facing today’s society.
Author : Magnus Jahre,Diana Göhringer,Philippe Millet
Publisher : Springer Nature
Page : 264 pages
File Size : 47,8 Mb
Release : 2020-12-15
Category : Technology & Engineering
ISBN : 9783030535322
This book summarizes the key scientific outcomes of the Horizon 2020 research project TULIPP: Towards Ubiquitous Low-power Image Processing Platforms. The main focus lies on the development of high-performance, energy-efficient embedded systems for the growing range of increasingly complex image processing applications. The holistic TULIPP approach is described in the book, which addresses hardware platforms, programming tools and embedded operating systems. Several of the results are available as open-source hardware/software for the community. The results are evaluated with several use cases taken from real-world applications in key domains such as Unmanned Aerial Vehicles (UAVs), robotics, space and medicine. Discusses the development of high-performance, energy-efficient embedded systems for the growing range of increasingly complex image processing applications; Covers the hardware architecture of embedded image processing systems, novel methods, tools and libraries for programming those systems as well as embedded operating systems to manage those systems; Demonstrates results with several challenging applications, such as medical systems, robotics, drones and automotive.
Author : Bert Moons,Daniel Bankman,Marian Verhelst
Publisher : Springer
Page : 206 pages
File Size : 47,9 Mb
Release : 2018-10-23
Category : Technology & Engineering
ISBN : 9783319992235
This book covers algorithmic and hardware implementation techniques to enable embedded deep learning. The authors describe synergetic design approaches on the application-, algorithmic-, computer architecture-, and circuit-level that will help in achieving the goal of reducing the computational cost of deep learning algorithms. The impact of these techniques is displayed in four silicon prototypes for embedded deep learning. Gives a wide overview of a series of effective solutions for energy-efficient neural networks on battery constrained wearable devices; Discusses the optimization of neural networks for embedded deployment on all levels of the design hierarchy – applications, algorithms, hardware architectures, and circuits – supported by real silicon prototypes; Elaborates on how to design efficient Convolutional Neural Network processors, exploiting parallelism and data-reuse, sparse operations, and low-precision computations; Supports the introduced theory and design concepts by four real silicon prototypes. The physical realization’s implementation and achieved performances are discussed elaborately to illustrated and highlight the introduced cross-layer design concepts.
Author : Tania Stathaki
Publisher : Elsevier
Page : 519 pages
File Size : 40,5 Mb
Release : 2011-08-29
Category : Technology & Engineering
ISBN : 9780080558523
The growth in the use of sensor technology has led to the demand for image fusion: signal processing techniques that can combine information received from different sensors into a single composite image in an efficient and reliable manner. This book brings together classical and modern algorithms and design architectures, demonstrating through applications how these can be implemented. Image Fusion: Algorithms and Applications provides a representative collection of the recent advances in research and development in the field of image fusion, demonstrating both spatial domain and transform domain fusion methods including Bayesian methods, statistical approaches, ICA and wavelet domain techniques. It also includes valuable material on image mosaics, remote sensing applications and performance evaluation. This book will be an invaluable resource to R&D engineers, academic researchers and system developers requiring the most up-to-date and complete information on image fusion algorithms, design architectures and applications. Combines theory and practice to create a unique point of reference Contains contributions from leading experts in this rapidly-developing field Demonstrates potential uses in military, medical and civilian areas
Author : Yide Ma,Kun Zhan,Zhaobin Wang
Publisher : Springer Science & Business Media
Page : 206 pages
File Size : 41,8 Mb
Release : 2011-09-02
Category : Computers
ISBN : 9783642137457
"Applications of Pulse-Coupled Neural Networks" explores the fields of image processing, including image filtering, image segmentation, image fusion, image coding, image retrieval, and biometric recognition, and the role of pulse-coupled neural networks in these fields. This book is intended for researchers and graduate students in artificial intelligence, pattern recognition, electronic engineering, and computer science. Prof. Yide Ma conducts research on intelligent information processing, biomedical image processing, and embedded system development at the School of Information Science and Engineering, Lanzhou University, China.
Author : John Ball ,Bo Tang
Publisher : MDPI
Page : 342 pages
File Size : 52,5 Mb
Release : 2019-10-01
Category : Technology & Engineering
ISBN : 9783039213757
This book contains the latest research on machine learning and embedded computing in advanced driver assistance systems (ADAS). It encompasses research in detection, tracking, LiDAR and camera processing, ethics, and communications. Several new datasets are also provided for future research work. Researchers and others interested in these topics will find important advances contained in this book.
Author : Yide Ma,Kun Zhan,Zhaobin Wang
Publisher : Unknown
Page : 199 pages
File Size : 53,6 Mb
Release : 2010
Category : Electronic
ISBN : 7040279789
Author : Diego Galar,Uday Kumar,Dammika Seneviratne
Publisher : CRC Press
Page : 409 pages
File Size : 42,5 Mb
Release : 2020-05-07
Category : Technology & Engineering
ISBN : 9780429839184
Industrial assets (such as railway lines, roads, pipelines) are usually huge, span long distances, and can be divided into clusters or segments that provide different levels of functionality subject to different loads, degradations and environmental conditions, and their efficient management is necessary. The aim of the book is to give comprehensive understanding about the use of autonomous vehicles (context of robotics) for the utilization of inspection and maintenance activities in industrial asset management in different accessibility and hazard levels. The usability of deploying inspection vehicles in an autonomous manner is explained with the emphasis on integrating the total process. Key Features Aims for solutions for maintenance and inspection problems provided by robotics, drones, unmanned air vehicles and unmanned ground vehicles Discusses integration of autonomous vehicles for inspection and maintenance of industrial assets Covers the industrial approach to inspection needs and presents what is needed from the infrastructure end Presents the requirements for robot designers to design an autonomous inspection and maintenance system Includes practical case studies from industries
Author : Linwei Wang,Qi Dou,P. Thomas Fletcher,Stefanie Speidel,Shuo Li
Publisher : Springer Nature
Page : 832 pages
File Size : 54,8 Mb
Release : 2022-09-15
Category : Computers
ISBN : 9783031164378
The eight-volume set LNCS 13431, 13432, 13433, 13434, 13435, 13436, 13437, and 13438 constitutes the refereed proceedings of the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which was held in Singapore in September 2022. The 574 revised full papers presented were carefully reviewed and selected from 1831 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: Brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; heart and lung imaging; dermatology; Part II: Computational (integrative) pathology; computational anatomy and physiology; ophthalmology; fetal imaging; Part III: Breast imaging; colonoscopy; computer aided diagnosis; Part IV: Microscopic image analysis; positron emission tomography; ultrasound imaging; video data analysis; image segmentation I; Part V: Image segmentation II; integration of imaging with non-imaging biomarkers; Part VI: Image registration; image reconstruction; Part VII: Image-Guided interventions and surgery; outcome and disease prediction; surgical data science; surgical planning and simulation; machine learning – domain adaptation and generalization; Part VIII: Machine learning – weakly-supervised learning; machine learning – model interpretation; machine learning – uncertainty; machine learning theory and methodologies.
Author : Tutut Herawan,Haruna Chiroma,Jemal H. Abawajy
Publisher : Springer
Page : 228 pages
File Size : 51,7 Mb
Release : 2019-07-12
Category : Technology & Engineering
ISBN : 9783319698892
Addressing the applications of computational intelligence algorithms in energy, this book presents a systematic procedure that illustrates the practical steps required for applying bio-inspired, meta-heuristic algorithms in energy, such as the prediction of oil consumption and other energy products. Contributions include research findings, projects, surveying work and industrial experiences that describe significant advances in the applications of computational intelligence algorithms in energy. For easy understanding, the text provides practical simulation results, convergence and learning curves as well as illustrations and tables. Providing a valuable resource for undergraduate and postgraduate students alike, it is also intended for researchers in the fields of computational intelligence and energy.
Author : Sudeep Pasricha,Muhammad Shafique
Publisher : Springer Nature
Page : 571 pages
File Size : 48,7 Mb
Release : 2023-11-07
Category : Technology & Engineering
ISBN : 9783031406775
This book presents recent advances towards the goal of enabling efficient implementation of machine learning models on resource-constrained systems, covering different application domains. The focus is on presenting interesting and new use cases of applying machine learning to innovative application domains, exploring the efficient hardware design of efficient machine learning accelerators, memory optimization techniques, illustrating model compression and neural architecture search techniques for energy-efficient and fast execution on resource-constrained hardware platforms, and understanding hardware-software codesign techniques for achieving even greater energy, reliability, and performance benefits. Discusses efficient implementation of machine learning in embedded, CPS, IoT, and edge computing; Offers comprehensive coverage of hardware design, software design, and hardware/software co-design and co-optimization; Describes real applications to demonstrate how embedded, CPS, IoT, and edge applications benefit from machine learning.
Author : Hong Song,Ran Liao,Rizwan Ali Naqvi,Surui Xie
Publisher : Frontiers Media SA
Page : 324 pages
File Size : 48,6 Mb
Release : 2023-10-13
Category : Science
ISBN : 9782832533291
