2.035 hasil untuk machine learning
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Pattern Recognition
For more than 40 years, pattern recognition approaches are continuingly improving and have been used in an increasing number of areas with great success. This book discloses recent advances and new ideas in approaches and applications for pattern recognition. The 30 chapters selected in this book…
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Advances in Speech Recognition
In the last decade, further applications of speech processing were developed, such as speaker recognition, human-machine interaction, non-English speech recognition, and non-native English speech recognition. This book addresses a few of these applications. Furthermore, major challenges that were…
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Desalination and Water Treatment
The need for fresh water is increasing with the rapid growth of the world's population. In countries and regions with available water resources, it is necessary to ensure the health and safety of the water supply. However, in countries and regions with limited freshwater resources, priority is…
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Computational Intelligence in Remote Sensing
…These paradigms encompass ambient intelligence, artificial life, cultural learning, artificial endocrine networks, social reasoning, and artificial hormone networks. CI plays a vital role in developing intelligent systems, including games and cognitive developmental systems. Recent years have seen…
Juga tersedia di: DOAB
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From Data to Intelligence
Dieses Buch präsentiert und erläutert die wesentlichen Voraussetzungen für das Verständnis, die Anwendung, die Erforschung und die Weiterentwicklung der Werkzeuge, die derzeit unter den Begriffen Maschinelles Lernen (ML) und Künstliche Intelligenz (KI) diskutiert werden. Es versteht sich als…
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Multispectral Remote Sensing Satellite Data for Mineral and Hydrocarbon Exploration: Big Data Processing and Deep Fusion Learning Techniques
This reprint exists to solve high complexity issues in remote sensing data processing, geochemical data analysis, geophysical data analysis and appropriate applications of GIS techniques for data fusion designed for mineral and hydrocarbon exploration. This reprint contains updated and informative…
Juga tersedia di: DOAB
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Artificial Intelligence-Driven Methods for Remote Sensing Target and Object Detection
The aim of this reprint is to provide readers with an in-depth understanding of state-of-the-art technical approaches related to remote sensing target detection and object detection. Remote sensing target detection or object detection determines the presence of a target or object of interest in a…
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Artificial Intelligence-Driven Methods for Remote Sensing Target and Object Detection II
The purpose of this reprint is to provide readers with a comprehensive understanding of the latest advancements and technical approaches in the fields of remote sensing target detection and object detection. Remote sensing target detection focuses on identifying and locating specific targets of…
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Smart Technologies and the End(s) of Law
…the world we depend on. She highlights how the pervasive employment of machine-learning technologies that inform so-called ‘data-driven agency’ threaten privacy, identity, autonomy, non-discrimination, due process and the presumption of innocence. The author argues how smart technologies undermine…
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A Multiscale In Silico Study to Characterize the Atrial Electrical Activity of Patients With Atrial Fibrillation
…cellular and tissue levels. Simulated electrograms were used to train a machine-learning algorithm to characterize the substrate. Also, wave propagation direction was tracked from unannotated electrograms. In conclusion, in silico experiments provide insight into electrograms' information of the…
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Multiple-Aspect Analysis of Semantic Trajectories
…MASTER 2019, held in conjunction with the 19th European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, in Würzburg, Germany, in September 2019. The 8 full papers presented were carefully reviewed and selected from 12 submissions. They represent an interesting…
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Applications
Volume 3 describes how resource-aware machine learning methods and techniques are used to successfully solve real-world problems. The book provides numerous specific application examples: in health and medicine for risk modelling, diagnosis, and treatment selection for diseases in electronics…
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Fundamentals
Volume 1 establishes the foundations of this new field. It goes through all the steps from data collection, their summary and clustering, to different aspects of resource-aware learning, i.e., hardware, memory, energy, and communication awareness. Machine learning methods are inspected with respect…
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Discovery in Physics
Volume 2 covers knowledge discovery in particle and astroparticle physics. Instruments gather petabytes of data and machine learning is used to process the vast amounts of data and to detect relevant examples efficiently. The physical knowledge is encoded in simulations used to train the machine…
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Multimedia Information Retrieval
Due to increasing globalization and the explosion of media available on the Internet, computer techniques to organize, classify, and find desired media are becoming more and more relevant. One such technique to extract semantic information from multimedia data sources is Multimedia Information…
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Computer Studies
…the significance of emerging technologies in computer studies, such as machine learning, AI, big data analytics, and blockchain, and how they are transforming industries and society. Additionally, the role of computer networks, cybersecurity, and privacy protection in maintaining the integrity and…
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The Shallow and the Deep
The Shallow and the Deep is a collection of lecture notes that offers an accessible introduction to neural networks and machine learning in general. However, it was clear from the beginning that these notes would not be able to cover this rapidly changing and growing field in its entirety. The…
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Advanced Applications for Artificial Neural Networks
…correction using a large-size spectrometer and ANN-based deep learning, solar radiation ANN prediction using NARX model, and ANN data assimilation for an atmospheric general circulation model.
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