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Postharvest Extension and Capacity Building for the Developing World - - Bog - Taylor & Francis Ltd - Plusbog.dk

Postharvest Extension and Capacity Building for the Developing World - - Bog - Taylor & Francis Ltd - Plusbog.dk

It is estimated that around 1.3 billion tons per year of food produced for human consumption, which is about one-third of all food produced, is either lost or wasted globally. Reduction of the postharvest losses is being considered as one of the sustainable ways to ensure world food security. Postharvest Extension and Capacity Building for the Developing World provides information on postharvest extension/outreach programs, capacity building, and practical methodologies for postharvest extension professionals and food science teachers, food processing trainers, and outreach specialists who work in the field. The book provides information on training of postharvest trainers, food loss assessment methods, capacity building in universities and agro-industry, distance education methods, models for cost effective postharvest/food processing extension work, success stories, and lessons learned from past projects and programs. The book is divided into four sections. Section I explains postharvest loss assessments methods, Section II is on capacity building, and Sections III and IV focus on training and postharvest extension models. Food loss assessment methodologies are highlighted from several high-profile institutions and it is envisioned that researchers and postharvest extension personnel will benefit from the development and field testing of a hybrid methodology, incorporating the strengths and utilizing the best practices from each of the methodologies in current use. Chapters cover postharvest extension work and capacity building in a wide range of regions.

DKK 496.00
3

The Cooperative Extension Service - James A Christenson - Bog - Taylor & Francis Ltd - Plusbog.dk

The Cooperative Extension Service - James A Christenson - Bog - Taylor & Francis Ltd - Plusbog.dk

The Cooperative Extension Service, a publicly supported educational agency, is continually struggling to define its proper function and purpose in our changing society. Should its mission be broadly based or narrowly focused? Should staff members be generalists or specialists? Should its clients be primarily rural or urban, farm or nonfarm? What role should Extension play in the information networks of the twenty-first century? Professors Warner and Christenson take a broad look at these and other questions concerning where the Extension Service has been, how well it is doing, and where it ought to go. Theirs is, first, the only comprehensive national survey that looks at the total Extension organization rather than at just one program area. Second, it expresses the viewpoint of Extension clients and the public, rather than that of the organization''s staff; and third, it combines outside survey information with data recorded in the Extension Management Information System (EMIS) and other routine agency reports. The authors evaluate, among other things, the extent of public awareness of the agency and its four major program areas (agriculture, home economics, 4-H, and community development), determine the users and nonusers of the programs and the accessibility of programs to the general population, identify the level of satisfaction with existing programs, and outline priorities and policy issues for the future.

DKK 448.00
3

Extension Innovation Method - Chunyan Yang - Bog - Taylor & Francis Ltd - Plusbog.dk

Extension Innovation Method - Chunyan Yang - Bog - Taylor & Francis Ltd - Plusbog.dk

Extension innovation method is an approach to originality generation. It utilizes basic theories of Extenics, a new discipline for modeling contradiction problems with formalized methods and transformation, to establish a modeling and quantification combined method that can be learned effortlessly and operated conveniently. This book introduces and analyzes commonly used extension innovation methods are introduced and analyzed thoroughly. It makes it easy for readers at different levels and of different knowledge backgrounds to study. Highly accessible cases faciliate understanding and application of the models.

DKK 514.00
3

Machine Learning - Seyedeh Leili (electrical And Computer Engineering Dept Mirtaheri - Bog - Taylor & Francis Ltd - Plusbog.dk

Machine Learning - Seyedeh Leili (electrical And Computer Engineering Dept Mirtaheri - Bog - Taylor & Francis Ltd - Plusbog.dk

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.

DKK 590.00
3

Machine Learning in Signal Processing - - Bog - Taylor & Francis Ltd - Plusbog.dk

Machine Learning in Signal Processing - - Bog - Taylor & Francis Ltd - Plusbog.dk

Machine Learning in Signal Processing: Applications, Challenges, and the Road Ahead offers a comprehensive approach toward research orientation for familiarizing signal processing (SP) concepts to machine learning (ML). ML, as the driving force of the wave of artificial intelligence (AI), provides powerful solutions to many real-world technical and scientific challenges. This book will present the most recent and exciting advances in signal processing for ML. The focus is on understanding the contributions of signal processing and ML, and its aim to solve some of the biggest challenges in AI and ML. FEATURES Focuses on addressing the missing connection between signal processing and ML Provides a one-stop guide reference for readers Oriented toward material and flow with regards to general introduction and technical aspects Comprehensively elaborates on the material with examples and diagrams This book is a complete resource designed exclusively for advanced undergraduate students, post-graduate students, research scholars, faculties, and academicians of computer science and engineering, computer science and applications, and electronics and telecommunication engineering.

DKK 476.00
3

Applied Genetic Programming and Machine Learning - Yoshihiko Hasegawa - Bog - Taylor & Francis Ltd - Plusbog.dk

Applied Genetic Programming and Machine Learning - Yoshihiko Hasegawa - Bog - Taylor & Francis Ltd - Plusbog.dk

What do financial data prediction, day-trading rule development, and bio-marker selection have in common? They are just a few of the tasks that could potentially be resolved with genetic programming and machine learning techniques. Written by leaders in this field, Applied Genetic Programming and Machine Learning delineates the extension of Genetic Programming (GP) for practical applications. Reflecting rapidly developing concepts and emerging paradigms, this book outlines how to use machine learning techniques, make learning operators that efficiently sample a search space, navigate the search process through the design of objective fitness functions, and examine the search performance of the evolutionary system. It provides a methodology for integrating GP and machine learning techniques, establishing a robust evolutionary framework for addressing tasks from areas such as chaotic time-series prediction, system identification, financial forecasting, classification, and data mining. The book provides a starting point for the research of extended GP frameworks with the integration of several machine learning schemes. Drawing on empirical studies taken from fields such as system identification, finanical engineering, and bio-informatics, it demonstrates how the proposed methodology can be useful in practical inductive problem solving.

DKK 625.00
3

Machine Elements - Frederic E. Nystrom - Bog - Taylor & Francis Ltd - Plusbog.dk

Machine Elements - Frederic E. Nystrom - Bog - Taylor & Francis Ltd - Plusbog.dk

Focusing on how a machine "feels" and behaves while operating, Machine Elements: Life and Design seeks to impart both intellectual and emotional comprehension regarding the "life" of a machine. It presents a detailed description of how machines elements function, seeking to form a sympathetic attitude toward the machine and to ensure its wellbeing through more careful and proper design. The book is divided into three sections for accessibility and ease of comprehension. The first section is devoted to microscopic deformations and displacements both in permanent connections and within the bodies of stressed parts. Topics include relative movements in interference fit connections and bolted joints, visual demonstrations and clarifications of the phenomenon of stress concentration, and increasing the load capacity of parts using prior elasto-plastic deformation and surface plastic deformation. The second part examines machine elements and units. Topics include load capacity calculations of interference fit connections under bending, new considerations about the role of the interference fit in key joints, a detailed examination of bolts loaded by eccentrically applied tension forces, resistance of cylindrical roller bearings to axial displacement under load, and a new approach to the choice of fits for rolling contact bearings. The third section addresses strength calculations and life prediction of machine parts. It includes information on the phenomena of static strength and fatigue; correlation between calculated and real strength and safety factors; and error migration.

DKK 662.00
3

Machine Vision for Industry 4.0 - - Bog - Taylor & Francis Ltd - Plusbog.dk

Machine Vision for Industry 4.0 - - Bog - Taylor & Francis Ltd - Plusbog.dk

- This book discusses the use of machine vision and technologies in specific engineering case studies and focuses on how machine vision techniques are impacting every step of industrial processes and how smart sensors and cognitive big data analytics are supporting the automation processes in Industry 4.0 applications. - Industry 4.0, the Fourth Industrial Revolution, combines traditional manufacturing with automation and data exchange. Machine vision is used in the industry for reliable product inspections, quality control, and data capture solutions. It combines different technologies to provide important information from the acquisition and analysis of images for robot-based inspection and guidance. - Features - - Presents a comprehensive guide on how to use machine vision for Industry 4.0 applications, such as analysis of images for automated inspections, object detection, object tracking, and more - - - Includes case studies of Robotics Internet of Things with its current and future applications in healthcare, agriculture, and transportation - - - Highlights the inclusion of impaired people in the industry, for example, an intelligent assistant that helps deaf-mute individuals to transmit instructions and warnings in a manufacturing process - - - Examines the significant technological advancements in machine vision for Industrial Internet of Things and explores the commercial benefits using real-world applications from healthcare to transportation - - - Discusses a conceptual framework of machine vision for various industrial applications - The book addresses scientific aspects for a wider audience such as senior and junior engineers, undergraduate and postgraduate students, researchers, and anyone interested in the trends, development, and opportunities for machine vision for Industry 4.0 applications.

DKK 486.00
3

Machine Tools - - Bog - Taylor & Francis Ltd - Plusbog.dk

Machine Tools - - Bog - Taylor & Francis Ltd - Plusbog.dk

This book introduces the applications of Industry 4.0 in machine tools through an overview of the latest available digital technologies. It focuses on digital twining, communication between industrial controls, motion, and input/output devices, along with sustainability in SMEs. Machine Tools: An Industry 4.0 Perspective focuses on the digital twining of machine tools, which improves the life of the machines and provides a method of operating a factory during times of complete lockdown resulting from various conditions. It presents an overview of the communication between industrial controls, motion, and input/output devices through standardized digital interfaces such as SERCOS and USB. The book goes on to discuss industrial cybersecurity systems applicable to discrete manufacturing, which includes cyberattacks and human errors, and address the security aspects related to software, hardware, and data. The book also explores the application of big data for different stages of production and illustrates the uses such as predictive maintenance, product quality, product life cycle management (PLM), and more. This book is an ideal reference for undergraduate, graduate, and postgraduate students of industrial, mechanical, and mechatronics engineering, along with professionals, and general readers.

DKK 505.00
3

Machine Learning and its Applications - Peter Wlodarczak - Bog - Taylor & Francis Ltd - Plusbog.dk

Machine Learning and its Applications - Peter Wlodarczak - Bog - Taylor & Francis Ltd - Plusbog.dk

In recent years, machine learning has gained a lot of interest. Due to the advances in processor technology and the availability of large amounts of data, machine learning techniques have provided astounding results in areas such as object recognition or natural language processing. New approaches, e.g. deep learning, have provided groundbreaking outcomes in fields such as multimedia mining or voice recognition. Machine learning is now used in virtually every domain and deep learning algorithms are present in many devices such as smartphones, cars, drones, healthcare equipment, or smart home devices. The Internet, cloud computing and the Internet of Things produce a tsunami of data and machine learning provides the methods to effectively analyze the data and discover actionable knowledge. This book describes the most common machine learning techniques such as Bayesian models, support vector machines, decision tree induction, regression analysis, and recurrent and convolutional neural networks. It first gives an introduction into the principles of machine learning. It then covers the basic methods including the mathematical foundations. The biggest part of the book provides common machine learning algorithms and their applications. Finally, the book gives an outlook into some of the future developments and possible new research areas of machine learning and artificial intelligence in general. This book is meant to be an introduction into machine learning. It does not require prior knowledge in this area. It covers some of the basic mathematical principle but intends to be understandable even without a background in mathematics. It can be read chapter wise and intends to be comprehensible, even when not starting in the beginning. Finally, it also intends to be a reference book. Key Features: Describes real world problems that can be solved using Machine Learning Provides methods for directly applying Machine Learning techniques to concrete real world problems Demonstrates how to apply Machine Learning techniques using different frameworks such as TensorFlow, MALLET, R

DKK 505.00
3

The Human Factor in Machine Translation - - Bog - Taylor & Francis Ltd - Plusbog.dk

The Human Factor in Machine Translation - - Bog - Taylor & Francis Ltd - Plusbog.dk

Machine translation has become increasingly popular, especially with the introduction of neural machine translation in major online translation systems. However, despite the rapid advances in machine translation, the role of a human translator remains crucial. As illustrated by the chapters in this book, man-machine interaction is essential in machine translation, localisation, terminology management, and crowdsourcing translation. In fact, the importance of a human translator before, during, and after machine processing, cannot be overemphasised as human intervention is the best way to ensure the translation quality of machine translation. This volume explores the role of a human translator in machine translation from various perspectives, affording a comprehensive look at this topical research area. This book is essential reading for anyone involved in translation studies, machine translation or interested in translation technology.

DKK 468.00
3

Functional Reverse Engineering of Strategic and Non-Strategic Machine Tools - - Bog - Taylor & Francis Ltd - Plusbog.dk

Functional Reverse Engineering of Strategic and Non-Strategic Machine Tools - - Bog - Taylor & Francis Ltd - Plusbog.dk

This book describes capacity building in strategic and non-strategic machine tool technology. It includes machine building in sectors such as machine tools, automobiles, home appliances, energy, and biomedical engineering, along with case studies. The book offers guidelines for capacity building in academia, covering how to promote enterprises of functional reverse engineering enterprises. It also discusses machine tool development, engineering design, prototyping of strategic, and non-strategies machine tools, as well as presenting communication strategies and IoT, along with case studies. Professionals from the CNC (Computer Numeric Control) machine tools industry, industrial and manufacturing engineers, and students and faculty in engineering disciplines will find interest in this book.

DKK 486.00
3

Entropy Randomization in Machine Learning - Yuri S. Popkov - Bog - Taylor & Francis Ltd - Plusbog.dk

Entropy Randomization in Machine Learning - Yuri S. Popkov - Bog - Taylor & Francis Ltd - Plusbog.dk

Entropy Randomization in Machine Learning presents a new approach to machine learning—entropy randomization—to obtain optimal solutions under uncertainty (uncertain data and models of the objects under study). Randomized machine-learning procedures involve models with random parameters and maximum entropy estimates of the probability density functions of the model parameters under balance conditions with measured data. Optimality conditions are derived in the form of nonlinear equations with integral components. A new numerical random search method is developed for solving these equations in a probabilistic sense. Along with the theoretical foundations of randomized machine learning, Entropy Randomization in Machine Learning considers several applications to binary classification, modelling the dynamics of the Earth’s population, predicting seasonal electric load fluctuations of power supply systems, and forecasting the thermokarst lakes area in Western Siberia. Features • A systematic presentation of the randomized machine-learning problem: from data processing, through structuring randomized models and algorithmic procedure, to the solution of applications-relevant problems in different fields • Provides new numerical methods for random global optimization and computation of multidimensional integrals • A universal algorithm for randomized machine learning This book will appeal to undergraduates and postgraduates specializing in artificial intelligence and machine learning, researchers and engineers involved in the development of applied machine learning systems, and researchers of forecasting problems in various fields.

DKK 459.00
3