Machine Learning Techniques – alle Bücher, Seite 2

Artificial Intelligence and System Engineering

Machine Learning Techniques to Identify the Importance of Data Driven Factors in Citation Classification.- Academic Performance of Students Related to Their Anxiety Levels: An Adaptive Network Model.- Mal…

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Computer Vision and Image Processing

The Six-volume proceedings set CCIS 2473 and 2478 constitutes the refereed proceedings of the 9th International Conference on Computer Vision and Image Processing, CVIP 2024, held in Chennai, India, durin…

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Sadik Mahammad, Aznarul Islam
Palaeochannels and Water Resource Management

This book characterizes palaeochannels and their hydrological properties in the Western Bengal Delta (Damodar Fan Delta) to help understand palaeochannel development, with the goal of better informing sus…

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Engineering Applications of Neural Networks

.- A Real-Time Human Action Recognition Model for Assisted Living..- A Survey of Federated Learning-Based Intrusion Detection Methods in Medical IoT.- AI-based automatic counting and classification of aed…

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Machine Learning for Econometrics and Related Topics

In the last decades, machine learning techniques - especially techniques of deep learning - led to numerous successes in many application areas, including economics. The use of machine learning in economi…

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Generative AI in Creative Industries

Introduction to Generative AI.- Foundations and Frontiers: The Evolution and Impact of Generative AI Technologies.- The Architecture of Generative AI and Its Role in the Creative Industry.- Generative AI …

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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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Advances in Nonlinear Dynamics, Volume I

This volume aims to present the latest advancements in experimental, analytical, and numerical methodologies aimed at exploring the nonlinear dynamics of diverse systems across varying length and time sca…

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Ricky Leung
Leveraging GenAI for Machine Learning Education in Public Health

Part 1 Laying the Foundation.- Chapter 1 Introduction.- Chapter 2 Understanding AI and Machine Learning for Public Health.- Chapter 3 Getting Started with RStudio and ChapGPT.- Part 2 Machine Learning Tec…

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Bachman
Multimodal Approaches to Speaker State Identification: Emotion, Sentiment, and Novel Modalities

Multimodal Approaches to Speaker State Identification: Emotion, Sentiment, and Novel Modalities explores cutting-edge methods for identifying speaker states using diverse data inputs. Beyond traditional e…

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Enhancing Hybrid Nanodevice Fabrication Efficiency Using Machine Learning

Gain a competitive edge in the semiconductor industry with this essential guide, which provides the practical insights and machine learning techniques needed to optimize the fabrication of hybrid nanodevi…

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Pattern Recognition

This book constitutes the proceedings of the 17th Mexican Conference on Pattern Recognition, MCPR 2025, held in Guanajuato, Mexico, during June 25--28, 2025.The 36 full papers presented in this volume wer…

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Artificial Intelligence in Microbiology

Due to their high predictive and informative potential, machine learning and deep learning have emerged as essential tools to advance microbiome research. This book provides insights and research findings…

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Machine Learning for Networking

.- Learning per-flow SD-WAN load-balancing policies. .- Survey on Federated Learning in Smart Healthcare. .- Complex Communication Networks Management with Distributed AI:Challenges and Open Issues. .- A …

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Machine Learning for Drone-Enabled IoT Networks

This book aims to explore the latest developments, challenges, and opportunities in the application of machine learning techniques to enhance the performance and efficiency of IoT networks assisted by aer…

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Smart and Secure Embedded and Mobile Systems

A Machine Learning Internet of Agro Things (IoAT) -Adaptive Smart Cloud Farming System for Small-Scale Farmers in Tanzania.- Barriers to Using Open Data in the Innovation Process.- The IoT Based Newborn R…

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Vijayakumar P
Data Mining & Warehousing Tech Machine Learning Concepts

This unique compendium elaborates the basic perceptions of data warehouses and data mining. The former part of the book covers concepts like introduction to data warehouses, the need for using such data w…

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¿Ukasz Pawlik
R Applications in Earth Sciences

This textbook helps to understand the real Earth data with the practical application of many handy R tools and techniques. R language and thousands of R packages can be used to solve the most sophisticate…

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Manas Gaur, Amit P Sheth
Knowledge-Infused Learning

Knowledge-infused learning directly confronts the opacity of current 'black-box' AI models by combining data-driven machine learning techniques with the structured insights of symbolic AI. This guidebook …

lieferbar ab 31.3.2026.

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Gordana Jovanovic Dolecek
MATLAB Random Signals and Processes Primer

This book offers a clear and intuitive approach to the world of random signals and processes, relating them with fundamental statistics and machine learning techniques---all through the lens of MATLAB. It…

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