Welcome to our book review site go-pdf.online!

You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.

Sign up

Molecular Parameters Indicating Adaptation to Mechanical Stress in Fibrous Connective Tissue
  • Language: en
  • Pages: 84

Molecular Parameters Indicating Adaptation to Mechanical Stress in Fibrous Connective Tissue

The connective and supportive tissues constitute a considerable amount of the biomass in human and animal organisms. The aim of this book is to contribute to the understanding of the mutual relationship between the mechanical situation of tendons and ligaments and their inner structure.

Computer Vision – ECCV 2018 Workshops
  • Language: en
  • Pages: 719

Computer Vision – ECCV 2018 Workshops

  • Type: Book
  • -
  • Published: 2019-01-28
  • -
  • Publisher: Springer

The six-volume set comprising the LNCS volumes 11129-11134 constitutes the refereed proceedings of the workshops that took place in conjunction with the 15th European Conference on Computer Vision, ECCV 2018, held in Munich, Germany, in September 2018.43 workshops from 74 workshops proposals were selected for inclusion in the proceedings. The workshop topics present a good orchestration of new trends and traditional issues, built bridges into neighboring fields, and discuss fundamental technologies and novel applications.

Molecular Parameters Indicating Adaptation to Mechanical Stress in Fibrous Connective Tissue
  • Language: en
  • Pages: 74

Molecular Parameters Indicating Adaptation to Mechanical Stress in Fibrous Connective Tissue

1 Introduction 1. 1 General Remarks The connective and supportive tissues constitute a considerable amount of the biomass in human and animal organisms. Characteristically, the osseous, car- laginous, and ?brous tissues each connect a vital part (cells) with a non-vital part, i. e. , extracellular matrix (ECM). The composition of the ECM constitutes the mechanical qualities of the respective tissue. The functional role of the bone and cartilage tissues is exhaustively discussed in the relevant literature. Whereas bone tissue provides the static and dynamic stability of the system as a whole, cartilage tissue accounts for the power transfer between bones. The articular cartilage insures a fai...

Intelligent Autonomous Systems 15
  • Language: en
  • Pages: 985

Intelligent Autonomous Systems 15

  • Type: Book
  • -
  • Published: 2018-12-31
  • -
  • Publisher: Springer

This book presents the latest advances and research achievements in the fields of autonomous robots and intelligent systems, presented at the IAS-15 conference, held in Baden-Baden, Germany, in June 2018. It brings together contributions from researchers, engineers and practitioners from all over the world on the main trends of robotics: navigation, path planning, robot vision, human detection, and robot design – as well as a wide range of applications. This installment of the conference reflects the rise of machine learning and deep learning in the robotics field, as employed in a variety of applications and systems. All contributions were selected using a rigorous peer-review process to ensure their scientific quality. The series of biennial IAS conferences was started in 1986: since then, it has become an essential venue for the robotics community.

Manual of Soft-Tissue Management in Orthopaedic Trauma
  • Language: en
  • Pages: 654

Manual of Soft-Tissue Management in Orthopaedic Trauma

  • Type: Book
  • -
  • Published: 2011-12-14
  • -
  • Publisher: Thieme

A fracture first and foremost is a soft-tissue injury, the best possible outcome of which strongly depends on correct decision making at the right time and state-of-the-art soft-tissue handling. In order for orthopaedic and trauma surgeons to address these issues comprehensively without being plastic surgeons themselves, a certain level of interdisciplinary understanding has to be acquired. This textbook provides that knowledge applicable in everyday clinical situations, focusing on interdisciplinary treatment strategies and basic soft-tissue techniques. High-quality videos and 20 carefully selected case studies further illustrate this comprehensive approach and the complex process of decision making. Surgeons will, among other things, be able to expand their knowledge regarding: Assessment of soft-tissue injuries Correct choice and handling of instruments Emergency department management Adequate debridement and wound conditioning Options and choice of wound closure and coverage Hear the authors discuss the book.

Autonomous Driving and Advanced Driver-Assistance Systems (ADAS)
  • Language: en
  • Pages: 540

Autonomous Driving and Advanced Driver-Assistance Systems (ADAS)

  • Type: Book
  • -
  • Published: 2021-12-16
  • -
  • Publisher: CRC Press

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.

Pattern Recognition
  • Language: en
  • Pages: 626

Pattern Recognition

This book constitutes the proceedings of the 41st DAGM German Conference on Pattern Recognition, DAGM GCPR 2019, held in Dortmund, Germany, in September 2019. The 43 revised full papers presented were carefully reviewed and selected from 91 submissions. The German Conference on Pattern Recognition is the annual symposium of the German Association for Pattern Recognition (DAGM). It is the national venue for recent advances in image processing, pattern recognition, and computer vision and it follows the long tradition of the DAGM conference series.

Computer Vision – ECCV 2022 Workshops
  • Language: en
  • Pages: 517

Computer Vision – ECCV 2022 Workshops

The 8-volume set, comprising the LNCS books 13801 until 13809, constitutes the refereed proceedings of 38 out of the 60 workshops held at the 17th European Conference on Computer Vision, ECCV 2022. The conference took place in Tel Aviv, Israel, during October 23-27, 2022; the workshops were held hybrid or online. The 367 full papers included in this volume set were carefully reviewed and selected for inclusion in the ECCV 2022 workshop proceedings. They were organized in individual parts as follows: Part I: W01 - AI for Space; W02 - Vision for Art; W03 - Adversarial Robustness in the Real World; W04 - Autonomous Vehicle Vision Part II: W05 - Learning With Limited and Imperfect Data; W06 - Ad...

Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004
  • Language: en
  • Pages: 967

Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004

The 7th International Conference on Medical Imaging and Computer Assisted Intervention, MICCAI 2004, was held in Saint-Malo, Brittany, France at the “Palais du Grand Large” conference center, September 26–29, 2004. The p- posaltohostMICCAI2004wasstronglyencouragedandsupportedbyIRISA, Rennes. IRISA is a publicly funded national research laboratory with a sta? of 370,including150full-timeresearchscientistsorteachingresearchscientistsand 115 postgraduate students. INRIA, the CNRS, and the University of Rennes 1 are all partners in this mixed research unit, and all three organizations were helpful in supporting MICCAI. MICCAI has become a premier international conference with in-depth - pe...

Point Cloud Processing for Environmental Analysis in Autonomous Driving using Deep Learning
  • Language: en
  • Pages: 194

Point Cloud Processing for Environmental Analysis in Autonomous Driving using Deep Learning

Autonomous self-driving cars need a very precise perception system of their environment, working for every conceivable scenario. Therefore, different kinds of sensor types, such as lidar scanners, are in use. This thesis contributes highly efficient algorithms for 3D object recognition to the scientific community. It provides a Deep Neural Network with specific layers and a novel loss to safely localize and estimate the orientation of objects from point clouds originating from lidar sensors. First, a single-shot 3D object detector is developed that outputs dense predictions in only one forward pass. Next, this detector is refined by fusing complementary semantic features from cameras and joint probabilistic tracking to stabilize predictions and filter outliers. The last part presents an evaluation of data from automotive-grade lidar scanners. A Generative Adversarial Network is also being developed as an alternative for target-specific artificial data generation.