Machine Learning For Network Security – alle Bücher, CDs und LPs, Seite 2

Qiang Huang
Domain-informed Machine Learning for Smart Manufacturing

This book introduces the state-of-the-art understanding on domain-informed machine learning (DIML) for advanced manufacturing. Methods and case studies presented in this volume show how complicated engine…

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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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Kiran
Machine Learning for Metallic Corrosion Modeling: A Computational Exploration

Metal corrosion, from rusty cars to crumbling bridges, costs billions. Enter machine learning! This powerful tool analyzes vast amounts of data to predict and prevent corrosion. By simulating how metals i…

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Ali Othman Albaji
Machine Learning for Environmental Noise Classification in Smart Cities

We present a Machine Learning (ML) approach to monitoring and classifying noise pollution. Both methods of monitoring and classification have been proven successful. MATLAB and Python code was generated t…

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Sanam
Machine Learning for Missing Maps: A Collaboration to Improve Disaster Relief

Disaster strikes, but where's the map? Traditional maps often lack details in vulnerable areas. Here's where machine learning (ML) and a collaborative project called Missing Maps team up to improve disast…

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Jesse van Griensven Thé, Roydon Andrew Fraser, Jose Rosas-Bustos
Quantum Computing and Quantum Machine Learning for Engineers and Developers

This book guides readers from the foundations of quantum mechanics through advanced quantum algorithms (such as Shor's and Grover's) and state-of-the-art machine learning methods. By illustrating how thes…

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Archon

Roberto Alonso (Violine), Christian Smith (Schlagzeug)

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Artificial Neural Networks and Machine Learning - ICANN 2025

The four-volume set LNCS 16068-16071 constitutes the proceedings of the 34th International Conference on Artificial Neural Networks and Machine Learning, ICANN 2025, held in Kaunas, Lithuania, September 9…

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Artificial Neural Networks and Machine Learning - ICANN 2025

The four-volume set LNCS 16068-16071 constitutes the proceedings of the 34th International Conference on Artificial Neural Networks and Machine Learning, ICANN 2025, held in Kaunas, Lithuania, September 9…

lieferbar innerhalb 2-3 Wochen

Buch

Artificial Neural Networks and Machine Learning - ICANN 2025

The four-volume set LNCS 16068-16071 constitutes the proceedings of the 34th International Conference on Artificial Neural Networks and Machine Learning, ICANN 2025, held in Kaunas, Lithuania, September 9…

lieferbar innerhalb 2-3 Wochen

Buch

Artificial Neural Networks and Machine Learning - ICANN 2025

The four-volume set LNCS 16068-16071 constitutes the proceedings of the 34th International Conference on Artificial Neural Networks and Machine Learning, ICANN 2025, held in Kaunas, Lithuania, September 9…

lieferbar innerhalb 2-3 Wochen

Buch

Pramod Gupta, Naresh Kumar Sehgal, John M. Acken
Introduction to Machine Learning with Security

This book provides an introduction to machine learning, security and cloud computing, from a conceptual level, along with their usage with underlying infrastructure. The authors emphasize fundamentals and…

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Cyber Security, Cryptology, and Machine Learning

This book constitutes the proceedings of the 8th International Symposium on Cyber Security, Cryptology, and Machine Learning, CSCML 2024, held in Be'er Sheva, Israel, during December 19-20, 2024.The 16 fu…

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Ali Kaveh
Applications of Artificial Neural Networks and Machine Learning in Civil Engineering

This book provides different applications of artificial neural networks (ANN) and machine learning (ML) in various problems of material science, structural optimization, and optimal analysis of structures…

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Mingzhe Chen, Shuguang Cui
Communication Efficient Federated Learning for Wireless Networks

This book provides a comprehensive study of Federated Learning (FL) over wireless networks. It consists of three main parts: (a) Fundamentals and preliminaries of FL, (b) analysis and optimization of FL o…

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Eric W. Bridgeford, Alexander R. Loftus, Joshua T. Vogelstein
Hands-On Network Machine Learning with Python

Bridging theory and practice in network data analysis, this guide offers an intuitive approach to understanding and analyzing complex networks. It covers foundational concepts, practical tools, and real-w…

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Artificial Neural Networks and Machine Learning. ICANN 2025 International Workshops and Special Sessions

.- 2nd AI in Drug Discovery (AIDD) Workshop. .- Early-stage Discovery in the Era of Hard-to-Drug Targets and Giga-scale Chemical Spaces. .- Comparative Analysis of Chemical Structure String Representation…

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Machine Learning, Deep Learning and AI for Cybersecurity

This book addresses a variety of problems that arise at the interface between AI techniques and challenging problems in cybersecurity. The book covers many of the issues that arise when applying AI and de…

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Charu C. Aggarwal
Probability and Statistics for Machine Learning

This book covers probability and statistics from the machine learning perspective. The chapters of this book belong to three categories:*The basics of probability and statistics:*These chapters focus on t…

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Eklas Hossain
Machine Learning Crash Course for Engineers

¿Machine Learning Crash Course for Engineersis 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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