Products related to Applications:
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Teaching, Tutoring and Training in the Lifelong Learning Sector
This core text provides comprehensive support for pre-service and in-service trainee teachers in the Lifelong Learning Sector covering all they need to know to achieve QTLS status. Supporting trainees through all stages of their professional development, the text takes the reader through the theoretical background underpinning teaching and learning and offers practical guidance on day-to-day challenges. This fourth edition has been fully revised and updated and includes a new chapter on teaching practice with notes on observation and lesson planning.New information on behaviour management has been added to support trainees in an aspect of teaching that many find challenging.
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Flipped Learning in Physical Education : Opportunities and Applications
This is the first book to introduce flipped learning in the context of physical education.It is a timely exploration of pedagogical approaches that draw on digital technologies that can allow learning online and at a distance to support important learning time for physical activity. The book discusses the role of online and digital technology in education, and physical education more speci?cally, and examines the key features that define flipped learning, its boundaries, and its format.Drawing on modern learning theories, the book explains why educators and practitioners may choose to use flipped learning and how the approach can improve physical activity opportunities.It also considers the challenges and the guiding principles involved in implementing flipped learning in different countries, cultures, and contexts. Full of practical guidance, and drawing on cutting-edge research, this book is invaluable reading for all students, researchers, pre-service and in-service teachers, and coaches working in physical education or youth sport.
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Adventure Education : Theory and Applications
Adventure Education: Theory and Applications allows students to-get a broad view of adventure education and programming;-explore the role of games, low- and high-element courses, and outdoor pursuits in adventure education; -use key concepts, student activities, and Web-based research to enhance the learning process;-employ real-world examples to explore strategies for adventure education in a variety of settings; and-learn core skills for effective facilitation and leadership preparation in adventure programming. With Adventure Education: Theory and Applications, adventure education enters the educational mainstream.This comprehensive text is ideal for introductory adventure courses in a variety of college departments and as a reference for professionals in the field. Project Adventure, a leader in the field of facilities-based adventure learning, teams up with leading adventure educators and professionals to provide a broad view of adventure education and programming.Together, they present the foundational theories and applications of adventure education.In doing so, they-explore the role of games, low- and high-element courses, and outdoor pursuits in adventure education;-cover the core skills for effective facilitation and leadership preparation; -include student-friendly features, such as key concepts, summaries, student activities, additional readings, and Web-based research to meet students' levels of experience and enhance the easy delivery of the course; and-recommend strategies for adventure education and programming based on real-world examples that connect to a variety of recreational, educational, therapeutic, and community settings.Part I presents the history of adventure education as well as the numerous theories and philosophies that have informed its development.It explores the world of adventure in education, health care, and therapeutic, corporate, and school settings.It also provides an overview of adventure organizations and career options, which is helpful to students who are interested in pursuing the study of adventure. Part II outlines the technical and pedagogical skills needed for facilitating adventure experiences.Part III describes each adventure component, explaining how they work in the educational process.It covers facilities-based pursuits such as games, cooperative activities and initiatives, and challenge courses as well as outdoor pursuits.Some sample activities and many additional resources are provided.The final chapter covers models for programming adventure in educational, therapeutic, corporate, and community settings. For students who select careers in other fields, the leadership and team skills learned through Adventure Education: Theory and Applications will serve them well in their future workplaces.For students who do go into adventure education, this text is their guide for finding their own paths in the field.
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Federated Learning for IoT Applications
This book presents how federated learning helps to understand and learn from user activity in Internet of Things (IoT) applications while protecting user privacy.The authors first show how federated learning provides a unique way to build personalized models using data without intruding on users’ privacy.The authors then provide a comprehensive survey of state-of-the-art research on federated learning, giving the reader a general overview of the field.The book also investigates how a personalized federated learning framework is needed in cloud-edge architecture as well as in wireless-edge architecture for intelligent IoT applications.To cope with the heterogeneity issues in IoT environments, the book investigates emerging personalized federated learning methods that are able to mitigate the negative effects caused by heterogeneities in different aspects.The book provides case studies of IoT based human activity recognition to demonstrate the effectiveness of personalized federatedlearning for intelligent IoT applications, as well as multiple controller design and system analysis tools including model predictive control, linear matrix inequalities, optimal control, etc.This unique and complete co-design framework will benefit researchers, graduate students and engineers in the fields of control theory and engineering.
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Are unsolicited applications allowed in self-initiated job applications?
Yes, unsolicited applications are allowed in self-initiated job applications. Unsolicited applications involve reaching out to a company even if they have not advertised any job openings. This can demonstrate initiative and proactiveness to potential employers. However, it is important to tailor your application to the company and clearly explain why you are interested in working for them.
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Does the school read school applications during the holidays?
It is unlikely that the school reads school applications during the holidays as most schools are closed during this time. Admissions staff typically take a break during holidays and resume reviewing applications once the school reopens. It is advisable to check with the school's admissions office for specific information on their application review process during holidays.
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What are applications and examples of applications for a PID controller?
A PID controller is a type of feedback control system that is widely used in industrial processes, robotics, and automation. It is used to control the behavior of a system by continuously adjusting the input based on the difference between the desired setpoint and the actual output. Some common applications of PID controllers include temperature control in ovens and HVAC systems, speed control in motors and drives, and pressure control in hydraulic systems. PID controllers are also used in chemical and process industries to maintain precise control over variables such as flow rate, level, and composition.
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What are web applications?
Web applications are software programs that run on web servers and are accessed through a web browser. They allow users to interact with data and perform tasks over the internet. Web applications can range from simple websites to complex platforms that offer a wide range of functionalities such as online shopping, social networking, and productivity tools. They are designed to be platform-independent and can be accessed on any device with an internet connection.
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Machine Learning : Theory to Applications
The book reviews core concepts of machine learning (ML) while focusing on modern applications.It is aimed at those who want to advance their understanding of ML by providing technical and practical insights.It does not use complicated mathematics to explain how to benefit from ML algorithms.Unlike the existing literature, this work provides the core concepts with emphasis on fresh ideas and real application scenarios.It starts with the basic concepts of ML and extends the concepts to the different deep learning algorithms.The book provides an introduction and main elements of evaluation tools with Python and walks you through the recent applications of ML in self-driving cars, cognitive decision making, communication networks, security, and signal processing.The concept of generative networks is also presented and focuses on GANs as a tool to improve the performance of existing algorithms. In summary, this book provides a comprehensive technological path from fundamental theories to the categorization of existing algorithms, covers state-of-the-art, practical evaluation tools and methods to empower you to use synthetic data to improve the performance of applications.
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Deep Learning Applications in Medical Imaging
Before the modern age of medicine, the chance of surviving a terminal disease such as cancer was minimal at best.After embracing the age of computer-aided medical analysis technologies, however, detecting and preventing individuals from contracting a variety of life-threatening diseases has led to a greater survival percentage and increased the development of algorithmic technologies in healthcare.Deep Learning Applications in Medical Imaging is a pivotal reference source that provides vital research on the application of generating pictorial depictions of the interior of a body for medical intervention and clinical analysis.While highlighting topics such as artificial neural networks, disease prediction, and healthcare analysis, this publication explores image acquisition and pattern recognition as well as the methods of treatment and care.This book is ideally designed for diagnosticians, medical imaging specialists, healthcare professionals, physicians, medical researchers, academicians, and students.
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Machine Learning : Concepts, Techniques and Applications
Machine Learning: Concepts, Techniques and Applications starts at basic conceptual level of explaining machine learning and goes on to explain the basis of machine learning algorithms.The mathematical foundations required are outlined along with their associations to machine learning.The book then goes on to describe important machine learning algorithms along with appropriate use cases.This approach enables the readers to explore the applicability of each algorithm by understanding the differences between them.A comprehensive account of various aspects of ethical machine learning has been discussed.An outline of deep learning models is also included.The use cases, self-assessments, exercises, activities, numerical problems, and projects associated with each chapter aims to concretize the understanding.Features Concepts of Machine learning from basics to algorithms to implementation Comparison of Different Machine Learning Algorithms – When to use them & Why – for Application developers and Researchers Machine Learning from an Application Perspective – General & Machine learning for Healthcare, Education, Business, Engineering Applications Ethics of machine learning including Bias, Fairness, Trust, Responsibility Basics of Deep learning, important deep learning models and applications Plenty of objective questions, Use Cases, Activity and Project based Learning ExercisesThe book aims to make the thinking of applications and problems in terms of machine learning possible for graduate students, researchers and professionals so that they can formulate the problems, prepare data, decide features, select appropriate machine learning algorithms and do appropriate performance evaluation.
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Meta-Learning Frameworks for Imaging Applications
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Why are applications rejected?
Applications can be rejected for various reasons, including incomplete information, lack of qualifications or experience, failure to meet specific requirements outlined in the job description, or submitting a poorly written resume or cover letter. Additionally, if there are a large number of qualified candidates applying for a limited number of positions, some applications may be rejected simply due to the competitive nature of the selection process. It is important for applicants to carefully review the job posting, tailor their application to the specific requirements, and ensure all necessary information is provided to increase their chances of success.
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What are database applications?
Database applications are software programs that interact with a database to perform specific tasks or functions. These applications are designed to store, retrieve, and manipulate data within the database, allowing users to input, access, and manage information. Database applications can be used for a wide range of purposes, such as managing inventory, processing transactions, analyzing data, and generating reports. They are essential tools for businesses and organizations to efficiently organize and utilize their data.
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What are system applications?
System applications are software programs that are designed to manage and control the hardware and software resources of a computer system. These applications are essential for the proper functioning of the operating system and for providing a user interface for interacting with the computer. Examples of system applications include device drivers, disk management tools, system utilities, and security software. These applications are critical for the overall performance and stability of the computer system.
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How many job applications have you written after school?
I have written approximately 10 job applications after school. I have been actively searching for part-time opportunities to gain work experience and develop new skills. Each application was tailored to the specific job requirements and company, showcasing my qualifications and enthusiasm for the role.
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