Machine Learning Algorithms – alle Bücher, Seite 2 online kaufen

Maya
Innovations in Speaker State Identification: Beyond Emotion to Humor, Charisma, and More

Innovations in Speaker State Identification: Beyond Emotion to Humor, Charisma, and More explores groundbreaking advancements in identifying nuanced speaker states beyond traditional emotions. This resear…

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Narayan
The Future of Control Systems: Embracing Uncertainty with Online Learning

"The Future of Control Systems: Embracing Uncertainty with Online Learning" emphasizes a forward-thinking approach. It suggests that traditional control systems struggle with unpredictable environments, a…

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Pedro Ponce, Arturo Molina, Therese Peffer, Juana Isabel Mendez Garduno
Data and AI Driving Smart Cities

This book illustrates how the advanced technology developed for smart cities requires increasing interaction with citizens to motivate and incentive them. Megacities' needs have been encouraging for the c…

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Taeho Jo
Deep Learning Foundations

This book provides a conceptual understanding of deep learning algorithms. The book consists of the four parts: foundations, deep machine learning, deep neural networks, and textual deep learning. The fir…

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Forthcoming Networks and Sustainability in the AIoT Era

This book introduces a groundbreaking approach to enhancing IoT device security, providing a comprehensive overview of its applications and methodologies. Covering a wide array of topics, from crime predi…

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Iqbal H. Sarker
AI-Driven Cybersecurity and Threat Intelligence

This book explores the dynamics of how AI (Artificial Intelligence) technology intersects with cybersecurity challenges and threat intelligence as they evolve. Integrating AI into cybersecurity not only o…

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Cyber Malware

This book provides the foundational aspects of malware attack vectors and appropriate defense mechanisms against malware. The book equips readers with the necessary knowledge and techniques to successfull…

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Forthcoming Networks and Sustainability in the AIoT Era

This book introduces a groundbreaking approach to enhancing IoT device security, providing a comprehensive overview of its applications and methodologies. Covering a wide array of topics, from crime predi…

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Harnessing Automation and Machine Learning for Resource Recovery and Value Creation

Harnessing Automation and Machine Learning for Resource Recovery and Value Creation: From Waste to Value provides a comprehensive understanding of how automation and machine learning technologies can be u…

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Anthony Elliott
Algorithms of Anxiety

Machine learning algorithms are widely presumed to herald a world in which the crippling burdens of anxiety can be left behind. The digital revolution promises a brave new world where individuals, commun…

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Mariya
Folding the Future: Machine Learning Revolutionizes Protein Structure Prediction

Folding the Future" unfolds the exciting revolution in protein structure prediction powered by machine learning. For decades, scientists struggled to understand the complex 3D shapes proteins fold into, w…

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Sanobar
Leveraging New Paradigms for Enhanced Mobile Network Security

The mobile landscape is evolving, and traditional security methods struggle to keep pace. New paradigms are emerging, offering a chance to leapfrog current limitations. Artificial intelligence (AI) stands…

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Low Field Pediatric Brain Magnetic Resonance Image Segmentation and Quality Assurance

This open access LNCS volume 15515 constitutes the refereed proceedings of the First MICCAI Challenge on Low Field Pediatric Brain Magnetic Resonance Image Segmentation and Quality Assurance, LISA 2024, H…

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The AI Revolution

This book presents an overview of the vast landscape of artificial intelligence (AI) in the media industry, more specifically in the audiovisual sector.Readers are guided through the fundamental pillars o…

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Eklas Hossain
Machine Learning Crash Course for Engineers

Machine Learning Crash Course for Engineers is a reader-friendly introductory guide to machine learning algorithms and techniques for students, engineers, and other busy technical professionals. The book …

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Sustainable and Green Technologies for Water and Environmental Management

This book introduces a variety of the latest researches that are related to smart devices, machine learning algorithms, and the Internet of things that are applied for a sustainable environment. These rec…

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Parkar
Smart Dams: Beyond Visual

Visual inspections have long been the cornerstone of dam safety, but the future lies in "smart dams." These go beyond surface checks, employing a network of sensors embedded within the dam itself. These s…

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Machine Learning for Cyber Physical System: Advances and Challenges

This book provides a comprehensive platform for learning the state-of-the-art machine learning algorithms for solving several cybersecurity issues. It is helpful in guiding for the implementation of smart…

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James
Unlocking the Power of Streaming Data: Online Learning for Diverse Applications

Data streams are de ned as large sequences of data, gathered from sources such as sensor networks and customer click streams, that are possibly in nite and temporarily ordered [7, 22]. Instances in data s…

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Galit Shmueli, Nitin R. Patel, Peter Gedeck, Peter C. Bruce
Machine Learning for Business Analytics

Machine Learning for Business Analytics: Concepts, Techniques, and Applications in Python is a comprehensive introduction to and an overview of the methods that underlie modern AI. This best-selling textb…

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