Machine And Deep Learning – alle Bücher, CDs und LPs, Seite 6

Proceedings of the 4th International Conference on Machine Learning, Cloud Computing and Intelligent Mining (Mlccim2025)

This book contains the selected proceedings of the 2025 International Conference on Machine Learning, Cloud Computing and Intelligent Mining, held in Mohe, China, July 21-25, 2025. The conference explores…

lieferbar ab 31.3.2026.

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Arlene John, Barry Cardiff, Deepu John
Deep Learning and Signal-Processing Methods for Multisensor Data Fusion

Chapter 1. Introduction.- Chapter 2. Fusion- a multi-domain topic.- Chapter 3. Signal quality indicators for ECG signals obtained from wearable IoT sensors.- Chapter 4. Multi-sensor fusion for heartrate e…

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The 9th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA'25), Volume 2

This volume explores the forefront of AI innovation in building secure, sustainable, and intelligent systems. From adaptive blockchain solutions for IoT and advances in photonic quantum computing to DNS-b…

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Christian Morten Schierholz
Methods of Machine Learning for Analysis and Decoupling of Power Delivery Networks on Printed Circuit Boards

Berichte aus der Elektrotechnik

Increasing challenges in the design process of power delivery networks on printed circuit boards require new and adapted tools. Therefore, in this thesis artificial neural networks are investigated to enh…

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Distributed Deep Learning and Explainable AI (XAI) in Industry 4.0

This book is a comprehensive resource that delves into the integration of advanced artificial intelligence techniques within the context of modern industrial practices. It systematically explores how dist…

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Carsten Holst
Automated Flank Wear Segmentation and Measurement with Deep Learning Image Processing

This thesis optimizes AI models for identifying tool wear on microscopic images of cutting tools. It creates a tool wear model from empirical trials to generate a dataset and conducts screening analysis t…

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Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis

Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis introduces the latest emerging trends and applications of deep learning in biomedical data analysis. This book delves into va…

lieferbar in mind. 4 Wochen

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Yannick Lingelbach
Application of Data Mining and Machine Learning Methods to Industrial Heat Treatment Processes for Hardness Prediction

This work presents a data mining framework applied to industrial heattreatment (bainitization and case hardening) aiming to optimize processes and reduce costs. The framework analyses factors such as mate…

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Patrick Klein
Combining Expert Knowledge and Deep Learning with Case-Based Reasoning for Predictive Maintenance

If a manufacturing company's main goal is to sell products profitably, protecting production systems from defects is essential and has led to vast documentation and expert knowledge. Industry 4.0 has faci…

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Leemay Nassery
AI Model Evaluation

De-risk AI models, validate real-world performance, and align output with product goals.Before you trust critical business systems to an AI model, you need to answer a few questions. Will it be fast enoug…

lieferbar ab 28.4.2026.

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Deep Learning for Intrusion Detection

Comprehensive resource exploring deep learning techniques for intrusion detection in various applications such as cyber physical systems and IoT networksDeep Learning for Intrusion Detection provides a pr…

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Computational Optimization

Mathematical Methods in the Digital Age

Data science, quantitative analysis, computer optimisation, and machine learning are all explored in this book. Insightful mathematical analysis of ML models is presented in this work. Various fields, inc…

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Taehun Kim
Financial AI in Practice

Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.Modern f…

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Yuning Zhang, Chenxin Yang, Peng Luo, Heng Zhang
Advanced Signal Processing

This brief explores advanced signal processing techniques, focusing on signal decomposition, entropy analysis, and machine learning, with applications in energy-related fields such as hydroturbines, wind …

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Christian Borch
Trading Beyond Understanding

Machine learning is fundamentally transforming financial markets. Where trading strategies were once crafted by human experts---executed manually or through pre-coded rules---firms now build models that g…

lieferbar ab 10.3.2026.

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Christian Borch
Trading Beyond Understanding

Machine learning is fundamentally transforming financial markets. Where trading strategies were once crafted by human experts---executed manually or through pre-coded rules---firms now build models that g…

lieferbar ab 10.3.2026.

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Pam Baker
Agentic AI for Dummies

An easy-to-follow guide to demystifying Agentic AI, the next step in the evolution of artificial intelligenceAgentic AI is the next big leap in artificial intelligence. Agentic systems don't just respond …

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Yuqi Zhao
Harmonic Estimation and Forecasting in Sparsely Monitored Uncertain Power Systems

Introduction.- Power System Harmonic Modelling.- Harmonic Simulation Studies.- Probabilistic Harmonic Estimation in Non-Radial Distribution Networks.- Application of Machine Learning for Harmonic Estimati…

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Agbotiname Lucky Imoize
Tiny Machine Learning

An expert compilation of on-device training techniques, regulatory frameworks, and ethical considerations of TinyML design and developmentIn Tiny Machine Learning: Design Principles and Applications, a te…

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Chisom Nwokwu
Data Engineering for Beginners

A hands-on technical and industry roadmap for aspiring data engineersIn Data Engineering for Beginners, big data expert Chisom Nwokwu delivers a beginner-friendly handbook for everyone interested in the f…

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