Data og IT

Soft robotics is an emerging field that involves the development and application of robots and robotic systems made from soft and flexible materials. Soft Robotics for Medical and Healthcare Applications discusses the use of soft robotics in minimally invasive vascular surgery, for clubfoot, and filariasis leg.

This book provides a comprehensive interdisciplinary analysis of the sustainable and ethical integration of Artificial Intelligence (AI) within legal education, offering practical strategies for balancing innovation with ethical responsibility. It will be of interest to researchers in the fields of law, education and AI ethics.

Advances in training models with log-linear structures, with topics including variable selection, the geometry of neural nets, and applications. Log-linear models play a key role in modern big data and machine learning applications. From simple binary classification models through partition functions, conditional random fields, and neural nets, log-linear structure is closely related to performance in certain applications and influences fitting techniques used to train models. This volume covers recent advances in training models with log-linear structures, covering the underlying geometry, optimization techniques, and multiple applications. The first chapter shows readers the inner workings of machine learning, providing insights into the geometry of log-linear and neural net models. The other chapters range from introductory material to optimization techniques to involved use cases. The book, which grew out of a NIPS workshop, is suitable for graduate students doing research in machine learning, in particular deep learning, variable selection, and applications to speech recognition. The contributors come from academia and industry, allowing readers to view the field from both perspectives. ContributorsAleksandr Aravkin, Avishy Carmi, Guillermo A. Cecchi, Anna Choromanska, Li Deng, Xinwei Deng, Jean Honorio, Tony Jebara, Huijing Jiang, Dimitri Kanevsky, Brian Kingsbury, Fabrice Lambert, Aurélie C. Lozano, Daniel Moskovich, Yuriy S. Polyakov, Bhuvana Ramabhadran, Irina Rish, Dimitris Samaras, Tara N. Sainath, Hagen Soltau, Serge F. Timashev, Ewout van den Berg

As more companies go digital and conduct their business online, this book provides practical examples of how companies can better manage their data and use it to generate maximum value. The book offers an integrated approach by treating data as an asset and discusses how to preserve and protect it just like any other corporate asset.

The book will be related to applied machine learning and deep learning in the field of sensing, vision and sensor-based applications.

This book investigates how combining AI and blockchain could transform military operations. For military personnel, defence academics, and cybersecurity specialists interested in learning about the use of AI and blockchain to defence, this book is essential.

The book explores how mathematical approaches drive efficiency, resource allocation, and improved patient outcomes, offering readers valuable insights into the pivotal role of quantitative analysis in shaping the future of healthcare delivery. It discusses the role of wearable technology in promoting patient engagement and wellness.

This book comprehensively explores the latest technological advancements in healthcare, with a particular focus on the application of cutting-edge technologies such as artificial intelligence (AI), robotics, and computer vision. An essential guide for healthcare professionals, researchers and scholars.

This book comprehensively explores the latest technological advancements in healthcare, with a particular focus on the application of cutting-edge technologies such as artificial intelligence (AI), robotics, and computer vision. An essential guide for healthcare professionals, researchers and scholars.

DESCRIPTIONThis book teaches theory and coding examples to help readers design AI-powered cloud robotics applications. AI and robotics engineers will learn to build scalable systems, apply various methods for monitoring and prediction, and optimize systems to reduce costs and increase performance using the architectural techniques described.This book offers a detailed look into cloud robotics, starting with cloud computing basics and moving into its applications in robotics. It highlights the role of AI, ML, and computer vision in advancing robotic capabilities. This book also covers cloud robotics infrastructure, focusing on communication protocols and the ROS2 framework. Further, you will learn about building cloud-enabled robots and using AWS for AI and robotics. It addresses data privacy and security, concluding with real-world applications across various industries and insights into the future of cloud robotics.This book equips you with the foundational knowledge and practical skills to leverage the power of cloud computing to enhance the capabilities of robotic systems. You will gain the ability to design, develop, deploy, and manage cloud-enabled robots, pushing the boundaries of automation and innovation across various industries.WHAT YOU WILL LEARN¿ Understand cloud computing concepts, including service models, deployment models, and security.¿ Explore cloud robotics history, benefits, and AI integration in robotic systems.¿ Learn AI algorithms, ML, and deep learning for robotics applications.¿ Gain skills in computer vision, object detection, and enhancing robot perception using AI.¿ Master Robot Operating System 2 (ROS2) architecture and build cloud-enabled robots with hands-on experience.WHO THIS BOOK IS FORThe primary audience of this book is robotics engineers, AI engineers, and software developers with a basic understanding of robotics and cloud computing or no prior experience of the subject. This book contains practical code samples in Python and assumes that the reader has a fundamental understanding of Python programming.

DESCRIPTIONThe book "Problem Solving in Data Structures and Algorithms Using C++" is designed to equip readers with a solid foundation in data structures and algorithms, essential for both academic study and technical interviews.It provides a solid foundation in the field, covering essential topics such as algorithm analysis, problem-solving techniques, abstract data types, sorting, searching, linked lists, stacks, queues, trees, heaps, hash tables, graphs, string algorithms, algorithm design techniques, and complexity theory. The book presents a clear and concise explanation of each topic, supported by illustrative examples and exercises. It progresses logically, starting with fundamental concepts and gradually building upon them to explore more advanced topics. The book emphasizes problem-solving skills, offering numerous practice problems and solutions to help readers prepare for coding interviews and competitive programming challenges. Each problem is accompanied by a structured approach and step-by-step solution, enhancing the reader's ability to tackle complex algorithmic problems efficiently.By the end of the book, readers will have a strong understanding of algorithms and data structures, enabling them to design efficient and scalable solutions for a wide range of programming problems.KEY FEATURES¿ Learn essential data structures like arrays, linked lists, trees, and graphs through practical coding examples for real-world application.¿ Understand complex topics with step-by-step explanations and detailed diagrams, suitable for all experience levels.¿ Solve interview and competitive programming problems with C++ solutions for hands-on practice.WHAT YOU WILL LEARN¿ Master algorithmic techniques for sorting, searching, and recursion.¿ Solve complex problems using dynamic programming and greedy algorithms.¿ Optimize code performance with efficient algorithmic solutions.¿ Prepare effectively for coding interviews with real-world problem sets.¿ Develop strong debugging and analytical problem-solving skills.WHO THIS BOOK IS FORThis book is for computer science students, software developers, and anyone preparing for coding interviews. The book's clear explanations and practical examples make it accessible to both beginners and experienced programmers.

Senior executives and Organizational Resilience practitioners across organizations continue to focus on understanding their continuity risk profile. Making informed choices about continuity assessment, planning, and overall preparedness is vital. Implementing enhancements can demonstrate continuous and systemic improvement of an organization's risk posture. Ultimately, organizations need constant and comprehensive visibility across continuity-related activities to support their strategic and tactical decision-making needs. In other words, precise data is required for leaders to make data-driven decisions.This book focuses on the often overlooked aspect of Organizational Resilience metrics. Candidly, when most leaders become interested in these metrics, it's due to an audit, crisis event, or customer complaint. Yet, the development and publishing of metrics can be daunting. While metrics are a science of statistics, they are also an art. What are the critical metrics best suited for your company culture? What industry-standard metrics can be leveraged? Do organizations continue to struggle to define the best organizational metrics for their Organizational Resilience management programs? How can they clearly understand and articulate the performance of such programs and, most importantly, their ability to recover from a disaster?We have written this book to ease practitioners' strain when they kick off this initiative. From definition to building a plan with a maturity roadmap to learning how to tell the story behind the numbers to execution - this book is the playbook you need to deliver best-in-class metrics.

The Autodesk AutoCAD Certified User Study Guide is designed for the AutoCAD user who is already familiar with AutoCAD. It provides a series of hands on exercises and tutorials in the use of AutoCAD to help you prepare for the Autodesk AutoCAD Certified User Exam.

Autodesk Revit for Architecture Certified User Exam Preparation is intended for the Revit user who has about 150 hours of instruction and real-world experience with Autodesk Revit software. This book will help guide you in your preparation for the Autodesk Certified User, Revit for Architecture exam.

Understand applications of AI for the human resource function and confidently use AI to recruit and develop a successful workforce to thrive in the future world of work.