Machine Learning In Farm Animal Behavior Using Python
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Machine Learning In Farm Animal Behavior Using Python
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Author : Natasa Kleanthous
language : en
Publisher: CRC Press
Release Date : 2025-03-07
Machine Learning In Farm Animal Behavior Using Python written by Natasa Kleanthous and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-07 with Science categories.
This book is a comprehensive guide to applying machine learning to animal behavior analysis, focusing on activity recognition in farm animals. It begins by introducing key concepts of animal behavior and ethology, followed by an exploration of machine learning techniques, including supervised, unsupervised, semi-supervised, and reinforcement learning. The practical section covers essential steps like data collection, preprocessing, exploratory data analysis, feature extraction, model training, and evaluation, using Python. The book emphasizes the importance of high-quality data and discusses various sensors and annotation methods for effective data collection. It addresses key machine learning challenges such as generalization and data issues. Advanced topics include feature selection, model selection, hyperparameter tuning, and deep learning algorithms. Practical examples and Python implementations are provided throughout, offering hands-on experience for researchers, students, and professionals aiming to apply machine learning to animal behavior analysis.
Machine Learning In Farm Animal Behavior Using Python
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Author : Natasa Kleanthous
language : en
Publisher: CRC Press
Release Date : 2025-03-06
Machine Learning In Farm Animal Behavior Using Python written by Natasa Kleanthous and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-06 with Computers categories.
The book includes detailed Python examples for each phase, making it an essential resource for researchers and practitioners in animal behavior and technology.
Neural Networks And Graph Models For Traffic And Energy Systems
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Author : Bhambri, Pankaj
language : en
Publisher: IGI Global
Release Date : 2025-02-21
Neural Networks And Graph Models For Traffic And Energy Systems written by Bhambri, Pankaj and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-21 with Computers categories.
Neural networks and graph models play a transformative role in optimizing traffic and energy systems, offering advanced solutions for managing complex, interconnected infrastructures. Neural networks can predict traffic patterns, optimize routes, and improve the efficiency of energy distribution networks by learning from real-time data. Graph models help represent and analyze the relationships and flows within transportation and energy systems, enabling more accurate modeling of networks and their interactions. Together, these technologies allow for smarter traffic management, reduced congestion, and enhanced energy grid efficiency. As cities and industries continue to grow, integrating neural networks and graph models into traffic and energy systems is essential in creating sustainable, efficient, and resilient urban environments. Neural Networks and Graph Models for Traffic and Energy Systems explores the sophisticated techniques and practical uses of artificial intelligence in improving and overseeing traffic and energy networks. It examines the connection between neural networks and graph theory, showing how these technologies might transform the effectiveness, sustainability, and robustness of urban infrastructure. This book covers topics such as sustainable development, energy science, traffic systems, and is a useful resource for energy scientists, computer engineers, urban developers, academicians, and researchers.
Sheep Farming
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Author :
language : en
Publisher: BoD – Books on Demand
Release Date : 2024-09-11
Sheep Farming written by and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-11 with Science categories.
In this volume, the latest information on sheep farming concerning the effects of climate change is summarized in eight chapters. Climate change basically determines changes in the environment, which affect the keeping, feeding, animal health, and breeding conditions of sheep. These changes affect the sustainability of sheep farming, the sheep’s resilience, and based on this, the livelihood opportunities of the people who keep the sheep. In different regions, the factors that enable or limit the effectiveness of sheep farming can change to a different degree and form. Changes in circumstances make it increasingly important to utilize the elements of precision farming in sheep farming because knowledge of current registration, production, and location data is essential even in extensive conditions.
Machine Learning And Computational Intelligence Techniques For Data Engineering
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Author : Pradeep Singh
language : en
Publisher: Springer Nature
Release Date : 2023-05-15
Machine Learning And Computational Intelligence Techniques For Data Engineering written by Pradeep Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-15 with Technology & Engineering categories.
This book comprises the proceedings of the 4th International Conference on Machine Intelligence and Signal Processing (MISP2022). The contents of this book focus on research advancements in machine intelligence, signal processing, and applications. The book covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. It also includes the progress in signal processing to process the normal and abnormal categories of real-world signals such as signals generated from IoT devices, smart systems, speech, videos and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), electromyogram (EMG), etc. This book proves to be a valuable resource for those in academia and industry.
High Throughput Phenotyping In The Genomic Improvement Of Livestock
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Author : Fabyano Fonseca Silva
language : en
Publisher: Frontiers Media SA
Release Date : 2021-08-03
High Throughput Phenotyping In The Genomic Improvement Of Livestock written by Fabyano Fonseca Silva and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-03 with Science categories.
Advances In Precision Livestock Farming
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Author : Professor Daniel Berckmans
language : en
Publisher: Burleigh Dodds Science Publishing
Release Date : 2022-06-28
Advances In Precision Livestock Farming written by Professor Daniel Berckmans and has been published by Burleigh Dodds Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-28 with Technology & Engineering categories.
Provides a comprehensive review of the recent developments in precision livestock technologies, from wearable sensors, to thermal imaging techniques Covers the latest research on the application of precision livestock technologies in monitoring livestock health Highlights the potential of precision livestock technologies to reduce the environmental impact of livestock production
Proceedings Of The 2nd International Conference On Signal And Data Processing
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Author : K. P. Ray
language : en
Publisher: Springer Nature
Release Date : 2023-06-27
Proceedings Of The 2nd International Conference On Signal And Data Processing written by K. P. Ray and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-27 with Technology & Engineering categories.
This volume comprises the select proceedings of the 2nd International Conference on Signal & Data Processing (ICSDP) 2022. The contents focus on the latest research and developments in the field of artificial intelligence & machine learning, Internet of things (IoT), cybernetics, advanced communication systems, VLSI embedded systems, power electronics and automation, MEMS/ nanotechnology, renewable energy, bioinformatics, data acquisition and mining, antenna & RF systems, power systems, biomedical engineering, aerospace & navigation. This volume will prove to be a valuable resource for those in academia and industry.
Web Development With Django
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Author : Ben Shaw
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-05-26
Web Development With Django written by Ben Shaw and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-26 with Computers categories.
Create your own websites easily, securely, and quickly with Django by tackling practical activities based on realistic case studies Key Features Understand Django functionality and the Model-View-Template (MVT) paradigm Create and iteratively build a book review website, adding features as you build your knowledge Explore advanced concepts such as REST API implementation and third-party module integration Book DescriptionDo you want to develop reliable and secure applications that stand out from the crowd without spending hours on boilerplate code? You’ve made the right choice trusting the Django framework, and this book will tell you why. Often referred to as a “batteries included” web development framework, Django comes with all the core features needed to build a standalone application. Web Development with Django will take you through all the essential concepts and help you explore its power to build real-world applications using Python. Throughout the book, you’ll get the grips with the major features of Django by building a website called Bookr – a repository for book reviews. This end-to-end case study is split into a series of bitesize projects presented as exercises and activities, allowing you to challenge yourself in an enjoyable and attainable way. As you advance, you'll acquire various practical skills, including how to serve static files to add CSS, JavaScript, and images to your application, how to implement forms to accept user input, and how to manage sessions to ensure a reliable user experience. You’ll cover everyday tasks that are part of the development cycle of a real-world web application. By the end of this Django book, you'll have the skills and confidence to creatively develop and deploy your own projects.What you will learn Create a new application and add models to describe your data Use views and templates to control behavior and appearance Implement access control through authentication and permissions Develop practical web forms to add features such as file uploads Build a RESTful API and JavaScript code that communicates with it Connect to a database such as PostgreSQL Who this book is for This book is for programmers looking to enhance their web development skills using the Django framework. To fully understand the concepts explained in this book, basic knowledge of Python programming as well as familiarity with JavaScript, HTML, and CSS is assumed.
Introduction To Semi Supervised Learning
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Author : Xiaojin Zhu
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
Introduction To Semi Supervised Learning written by Xiaojin Zhu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.
Semi-supervised learning is a learning paradigm concerned with the study of how computers and natural systems such as humans learn in the presence of both labeled and unlabeled data. Traditionally, learning has been studied either in the unsupervised paradigm (e.g., clustering, outlier detection) where all the data are unlabeled, or in the supervised paradigm (e.g., classification, regression) where all the data are labeled. The goal of semi-supervised learning is to understand how combining labeled and unlabeled data may change the learning behavior, and design algorithms that take advantage of such a combination. Semi-supervised learning is of great interest in machine learning and data mining because it can use readily available unlabeled data to improve supervised learning tasks when the labeled data are scarce or expensive. Semi-supervised learning also shows potential as a quantitative tool to understand human category learning, where most of the input is self-evidently unlabeled. In this introductory book, we present some popular semi-supervised learning models, including self-training, mixture models, co-training and multiview learning, graph-based methods, and semi-supervised support vector machines. For each model, we discuss its basic mathematical formulation. The success of semi-supervised learning depends critically on some underlying assumptions. We emphasize the assumptions made by each model and give counterexamples when appropriate to demonstrate the limitations of the different models. In addition, we discuss semi-supervised learning for cognitive psychology. Finally, we give a computational learning theoretic perspective on semi-supervised learning, and we conclude the book with a brief discussion of open questions in the field. Table of Contents: Introduction to Statistical Machine Learning / Overview of Semi-Supervised Learning / Mixture Models and EM / Co-Training / Graph-Based Semi-Supervised Learning / Semi-Supervised Support Vector Machines / Human Semi-Supervised Learning / Theory and Outlook