Learning Models – alle Bücher, CDs und LPs, Seite 4

Computer Vision and Image Processing

.- ConvSFNet: A Novel Architecture for Disaster Image Analysis. .- Impact of Color Channel Perturbation Attack on Vision Transformers. .- Boundary Refinement in Abdomen Segmentation using 3D Inverseform L…

lieferbar innerhalb 2-3 Wochen

Buch

Keita Broadwater, Namid Stillman
Graph Neural Networks in Action

About the bookIn Graph Neural Networks in Action you will create deep learning models that are perfect for working with interconnected graph data. Start with a comprehensive introduction to graph data's u…

lieferbar innerhalb 1-2 Wochen

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Rohit Kumar
Fundamentals of Cost-Efficient AI

Fundamentals of Cost-Efficient AI: In Healthcare and Biomedicine is situated within the broader context of artificial intelligence (AI) and deep learning (DL) technologies as they pertain to healthcare an…

lieferbar ab 9.12.2025.

Buch

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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Data-Driven Diagnostics and Disease Prediction with AI Optimization

Data-Driven Diagnostics and Disease Prediction with AI Optimizationprovides useful insights into model creation, data preparation, and ethical issues for healthcare applications. The book covers all the c…

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Computational Intelligence in Engineering Science

.- Machine Learning..- Clickbait Detection: A Comparative Analysis of Traditional Machine Learning, Deep Learning, and Large Language Models..- Breast cancer classification based on fuzzy rules and deep l…

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Practical Statistical Learning and Data Science Methods

This contributed volume offers practical implementation strategies for statistical learning and data science techniques, with fully peer-reviewed papers that embody insights and experiences gathered withi…

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Intrapartum Ultrasound

Baseline Method at the Intrapartum Ultrasound Grand Challenge 2024.- Classification and Segmentation of Intrapartum Ultrasound Images with Deep Learning Models.- Accurate Fetal Head Descent Assessment Dur…

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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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Buch

Roi Yehoshua
Machine Learning Foundations

The Essential Guide to Machine Learning in the Age of AIMachine learning stands at the heart of today's most transformative technologies: advancing scientific discovery, reshaping industries, and transfor…

lieferbar ab 17.1.2026.

Buch

Shixia Liu, Jun Yuan, Junpeng Wang, Weikai Yang
Visualization for Artificial Intelligence

This book explores how visualization provides an effective way of improving not only the interpretability but also the generalization capabilities of machine learning models. It shows how visualization ca…

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Buch

Matthew Wicker, Francesco Leofante
Robust Explainable AI

The area of Explainable Artificial Intelligence (XAI) is concerned with providing methods and tools to improve the interpretability of black-box learning models. While several approaches exist to generate…

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Buch

Elissaios Sarmas, Haris Doukas, Vangelis Marinakis
Artificial Intelligence for Energy Systems

This book focuses on creating an integrated library of learning models and optimization techniques to assist decision-making on issues in the energy and building sector. It provides modern solutions to en…

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Computational Intelligence in Data Science

.- Computer Vision for Real World Applications..- AI-Enhanced breast cancer diagnosis (BCD) using machine learning models with GA-SA Hybrid..- Efficient Medicinal Plant Leaf Classification Using MobileNet…

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1st IFMBE Latin American Conference on Digital Health

This book reports on the latest research and developments in Biomedical Engineering, with a special emphasis on topics of interest and findings achieved in Latin America. It covers applications of artific…

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Buch

Manuel Moura, Rui Neves
Using Fundamental Analysis and an Ensemble of Classifier Models Along with a Risk-Off Filter to Select Outperforming Companies

This book develops a quantitative stock market investment methodology using financial indicators that beats the benchmark of S&P500 index. To achieve this goal, an ensemble of machine learning models …

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Jinjin Li, Yanqiang Han
Machine Learning in Protein Science

Harness the power of machine learning for quick and efficient calculations of protein structures and propertiesMachine Learning in Protein Science is a unique and practical reference that shows how to emp…

lieferbar ab 26.11.2025.

Buch

Samuel Ackerman, Guy Barash, Onn Shehory, Orna Raz
Theory and Practice of Quality Assurance for Machine Learning Systems

This book is a self-contained introduction to engineering and testing machine learning (ML) systems. It systematically discusses and teaches the art of crafting and developing software systems that includ…

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AI-Driven Environmental Pollution Management

This book provides a comprehensive overview of the challenges caused by environmental pollution on a global scale, and delves into the intricate sources of air, water, and noise pollution. It discusses cu…

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Meng Ji, Michael Oakes
Multilingual Environmental Communications

Based on real-life case studies, this book provides an empirical study of the linguistic accessibility of environmental information for people from diverse language, cultural, and educational backgrounds.…

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