Artificial intelligence for digitising industry. Applications / (2022)

• Record Type: Book
• Further Information: Note: Edited by Ovidiu Vermesan.
• Editors: Vermesan, Ovidiu
• Contents: 1 AI Automotive 1.0 AI Reshaping the Automotive Industry 1.1 AI for Inbound Logistics Optimisation in Automotive Industry 1.2 State of Health Estimation using a Temporal Convolutional Network for an Efficient Use of Retired Electric Vehicle 1.3 Optimising Trajectories in Simulations with Deep Reinforcement Learning for Industrial Robots in Automotive Manufacturing 1.4 Foundations of Real Time Predictive Maintenance with Root Cause Analysis 1.5 Real-Time Predictive Maintenance – Model-Based, Simulation- Based and Machine Learning Based Diagnosis1.6 Real-Time Predictive Maintenance – Artificial Neural Network Based Diagnosis 2 AI Semiconductor 2.0 AI in Semiconductor Industry 2.1 AI-Based Knowledge Management System for Risk Assessment and Root Cause Analysis in Semiconductor Industry 2.2 Efficient Deep Learning Approach for Fault Detection in the Semiconductor Industry 2.3 Towards Fully Automated Verification of Semiconductor Technologies 2.4 Automated Anomaly Detection Through Assembly and Packaging Process 2.3 AI Industrial Machinery 3.0 AI in Industrial Machinery 3.1 AI-Powered Collision Avoidance Safety System for Industrial Woodworking Machinery 3.2 Construction of a Smart Vision-Guided Robot System for Manipulation in a Dynamic Environment 3.3 Radar-Based Human-Robot Interfaces 3.4 Touch Identification on Sensitive Robot Skin Using Time 4 AI Food and Beverage 249 4.0 AI in Food and Beverage Industry 4.1 Innovative Vineyards Environmental Monitoring System Using Deep Edge AI 4.2 AI-Driven Yield Estimation Using an Autonomous Robot 4.3 AI-Based Quality Control System at the Pressing Stages of the Champagne Production 4.4 Optimisation of Soybean Manufacturing Process Using Realtime Artificial Intelligence of Things Technology 5 AI Transportation 5.0 Applications of AI in Transportation Industry 5.1 AI-Based Vehicle Systems for Mobility-as-a-Service Application 5.2 Open Traffic Data for Mobility-as-a-Service Applications – Architecture and Challenges
• Edition: 1st
• Publisher Details: Gistrup : River Publishers
• Publication Date: 2022
• Extent: 1 online resource
• Subjects: 658.0563; Artificial intelligence -- Industrial applications
• Languages: English
• ISBNs: 9781000797473
• Related ISBNs: 9781000794311
• Notes: Note: Description based on CIP data; resource not viewed.
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