Track-Before-Detect Using Expectation Maximisation, Davey
Автор: Bela Gipp Название: Citation-based Plagiarism Detection ISBN: 3658063939 ISBN-13(EAN): 9783658063931 Издательство: Springer Рейтинг: Цена: 10448.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Disguised plagiarism forms, including paraphrased text, cross-language plagiarism, as well as structural and idea plagiarism often remain undetected. Bela Gipp provides an overview of the state-of-the art in plagiarism detection and an analysis of why these approaches fail to detect disguised plagiarism forms.
Автор: Christian Attiogb?; Flavio Ferrarotti; Sofian Maab Название: New Trends in Model and Data Engineering ISBN: 3030322122 ISBN-13(EAN): 9783030322120 Издательство: Springer Рейтинг: Цена: 9502.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the thoroughly refereed papers of the workshops held at the 9th International Conference on New Trends in Model and Data Engineering, MEDI 2019, in Toulouse, France, in October 2019.The 12 full and the three short workshop papers presented together with one invited paper were carefully reviewed and selected from 35 submissions. The papers are organized according to the 3 workshops: Workshop on Modeling, Verification and Testing of Dependable Critical systems, DETECT 2019, Workshop on Data Science for Social Good in Africa, DSSGA 2019, and Workshop on Security and Privacy in Models and Data, TRIDENT 2019.
Автор: Samuel J. Davey; Han X. Gaetjens Название: Track-Before-Detect Using Expectation Maximisation ISBN: 9811339716 ISBN-13(EAN): 9789811339714 Издательство: Springer Рейтинг: Цена: 18028.00 р. Наличие на складе: Поставка под заказ.
Описание: This book offers a detailed description of the histogram probabilistic multi-hypothesis tracker (H-PMHT), providing an accessible and intuitive introduction to the mathematical mechanics of H-PMHT as well as a definitive reference source for the existing literature on the method. Beginning with basic concepts, the authors then move on to address extensions of the method to a broad class of tracking problems. The latter chapters present applications using recorded data from experimental radar, sonar and video sensor systems. The book is supplemented with software that both furthers readers’ understanding and acts as a toolkit for those who wish to apply the methods to their own problems.
Автор: Kofi Kissi Dompere Название: Fuzziness and Approximate Reasoning ISBN: 3642099890 ISBN-13(EAN): 9783642099892 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text explains the epistemic structure of the relationships among uncertainty, expectations, risk, possibility and probability. It then probes how fuzzy paradigm and fuzzy rationality bring new understanding to those relationships.
Автор: Nilanjan Dey, Amira Ashour, Prasenjit Kr. Patra Название: Feature Detectors and Motion Detection in Video Processing ISBN: 1522510257 ISBN-13(EAN): 9781522510253 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 29106.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Explores innovative methods and approaches to analysing and retrieving video images. Featuring empirical research and significant frameworks regarding feature detectors and descriptor algorithms, the book is a reference source for professionals, researchers, advanced-level students, technology developers, and academics.
Автор: El Hassan Abdelwahed; Ladjel Bellatreche; Djamal B Название: New Trends in Model and Data Engineering ISBN: 3030028518 ISBN-13(EAN): 9783030028510 Издательство: Springer Рейтинг: Цена: 9502.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the thoroughly refereed papers of the workshops held at the 8th International Conference on New Trends in Model and Data Engineering, MEDI 2018, in Marrakesh, Morocco, in October 2018.The 19 full and the one short workshop papers were carefully reviewed and selected from 50 submissions. The papers are organized according to the 4 workshops: International Workshop on Modeling, Verification and Testing of Dependable Critical Systems, DETECT 2018, Model and Data Engineering for Social Good Workshop, MEDI4SG 2018, Second International Workshop on Cybersecurity and Functional Safety in Cyber-Physical Systems, IWCFS 2018, International Workshop on Formal Model for Mastering Multifaceted Systems, REMEDY 2018.
Описание: This book constitutes the thoroughly refereed papers of the workshops held at the 10th International Conference on New Trends in Model and Data Engineering, MEDI 2021, held in Tallinn, Estonia, in June 2021: Workshop on moDeling, vErification and Testing of dEpendable CriTical systems, DETECT 2021;
Название: Covid-19 ISBN: 0367674661 ISBN-13(EAN): 9780367674663 Издательство: Taylor&Francis Рейтинг: Цена: 18374.00 р. Наличие на складе: Нет в наличии.
Описание: This book will highlight progress in terms of Virus Biology, Infection Detection, Prevention, and Control, along with Screening, Testing, and Detection Techniques that will provide learners and researchers (basic to advanceD) with the most innovative computer-driven methodologies for the fight against COVID-19.
Автор: Kwangjo Kim; Muhamad Erza Aminanto; Harry Chandra Название: Network Intrusion Detection using Deep Learning ISBN: 9811314438 ISBN-13(EAN): 9789811314438 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents recent advances in intrusion detection systems (IDSs) using state-of-the-art deep learning methods. It also provides a systematic overview of classical machine learning and the latest developments in deep learning. In particular, it discusses deep learning applications in IDSs in different classes: generative, discriminative, and adversarial networks. Moreover, it compares various deep learning-based IDSs based on benchmarking datasets. The book also proposes two novel feature learning models: deep feature extraction and selection (D-FES) and fully unsupervised IDS. Further challenges and research directions are presented at the end of the book. Offering a comprehensive overview of deep learning-based IDS, the book is a valuable reerence resource for undergraduate and graduate students, as well as researchers and practitioners interested in deep learning and intrusion detection. Further, the comparison of various deep-learning applications helps readers gain a basic understanding of machine learning, and inspires applications in IDS and other related areas in cybersecurity.
Автор: Singh, Himanshu Название: Practical machine learning and image processing ISBN: 1484241487 ISBN-13(EAN): 9781484241486 Издательство: Springer Рейтинг: Цена: 8384.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms discussed in the book. You will then cover all the core image processing algorithms in detail before moving onto the biggest computer vision library: OpenCV. You’ll see the OpenCV algorithms and how to use them for image processing.
The next section looks at advanced machine learning and deep learning methods for image processing and classification. You’ll work with concepts such as pulse coupled neural networks, AdaBoost, XG boost, and convolutional neural networks for image-specific applications. Later you’ll explore how models are made in real time and then deployed using various DevOps tools.
All the concepts in Practical Machine Learning and Image Processing are explained using real-life scenarios. After reading this book you will be able to apply image processing techniques and make machine learning models for customized application.
What You Will Learn
Discover image-processing algorithms and their applications using PythonExplore image processing using the OpenCV libraryUse TensorFlow, scikit-learn, NumPy, and other librariesWork with machine learning and deep learning algorithms for image processingApply image-processing techniques to five real-time projects
Who This Book Is For
Data scientists and software developers interested in image processing and computer vision.
Автор: Thiago Nunes Kehl; Viviane Todt; Maur?cio Roberto Название: Real time deforestation detection using ANN and Satellite images ISBN: 331915740X ISBN-13(EAN): 9783319157405 Издательство: Springer Рейтинг: Цена: 7836.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The foremost aim of the present study was the development of a tool to detect daily deforestation in the Amazon rainforest, using satellite images from the MODIS/TERRA sensor and Artificial Neural Networks.
Описание: There have been major recent advances in robotic systems that can replace humans in undertaking hazardous activities in demanding or dangerous environments. Published in association with the CLAWAR (Climbing and Walking Robots and Associated Technologies Association) (www.clawar.org), this important book reviews the development of robotic systems for de-mining and other risky activities such as fire-fighting.Part one provides an overview of the use of robots for humanitarian de-mining work. Part two discusses the development of sensors for mine detection whilst Part thee reviews developments in both teleoperated and autonomous robots. Building on the latter, Part four concentrates on robot autonomous navigation. The final part of the book reviews research on multi-agent-systems (MAS) and the multi-robotics-systems (MRS), promising tools that take into account modular design of mobile robots and the use of several robots in multi-task missions.With its distinguished editors and international team of contributors, Using robots in hazardous environments: landmine detection, de-mining and other applications is a standard reference for all those researching the use of robots in hazardous environments as well as government and other agencies wishing to use robots for dangerous tasks such as landmine detection and disposal.
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