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Gratis

This open access book brings together the latest developments from industry and research on automated driving and artificial intelligence.Environment perception for highly automated driving heavily employs deep neural networks, facing many challenges. How much data do we need for training and testing? How to use synthetic data to save labeling costs for training? How do we increase robustness and
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This book covers the theory, applications, and viewpoints on the most recent and upcoming advancements in the fields of complex processes, decision-making, control, and systems and networks. In the well-known lecture notes in networks and systems series, "Smart Business and Technologies" is the most recent entry. The cutting-edge research presented at the International Conference on Smart Business
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Databehandling e-bøker

Traducción e Interpretación: entre investigación y didáctica

Sustainable Data Management

Microsoft Power BI Quick Start Guide

Statistical Laws in Complex Systems

Learning ArcGIS Runtime SDK for .NET

A Hands-On Guide to Fine-Tuning Large Language Models with PyTorch and Hugging Face

Digital Technologies and Applications

Entwicklung einer interaktiven Wirbelsäule inklusive gamifizierter Lernanwendung

Algorithms

R Data Analysis Projects

Practical Linear Algebra for Data Science

Deep Learning with PyTorch

Real-time and Autonomous Systems 2022

Big Data Management and Analysis for Cyber Physical Systems

Practical Natural Language Processing

Managing Data Science

Hands-On Blockchain for Python Developers

Mastering Blockchain

Data Cleaning with Power BI

Algorithms

Exploring Deepfakes

Transformação Digital: Automatização De Processos De Negócios Com Inteligência Artificial

Deep Neural Networks and Data for Automated Driving

Smart Business and Technologies