Search Results - "machines"

X-Machines for Agent-Based Modeling FLAME Perspectives by Kiran, Mariam

OAPEN Library: download the publication
OAPEN Library: description of the publication

Is your ice machine really clean? Uncovering the presence of opportunistic pathogens in hospital ice machines - CORRIGENDUM by Margot Cazals, Emilie Bedard, Michèle Prévost, Patrice Savard

Connect to this object online.

Human Machine Interaction (HMI) in Offshore Drilling - oil rig workers' opinion about their interaction with machines by AH Siddique, T Shamsi, M Hasan

Connect to this object online.

Machine Learning for Cyber Physical Systems Selected papers from the International Conference ML4CPS 2018 /

Table of Contents: “…Machine Learning for Enhanced Waste Quantity Reduction: Insights from the MONSOON Industry 4.0 Project -- Deduction of time-dependent machine tool characteristics by fuzzy-clustering -- Unsupervised Anomaly Detection in Production Lines -- A Random Forest Based Classifer for Error Prediction of Highly Individualized Products -- Web-based Machine Learning Platform for Condition-Monitoring -- Selection and Application of Machine Learning-Algorithms in Production Quality -- Which deep artifificial neural network architecture to use for anomaly detection in Mobile Robots kinematic data -- GPU GEMM-Kernel Autotuning for scalable machine learners -- Process Control in a Press Hardening Production Line with Numerous Process Variables and Quality Criteria -- A Process Model for Enhancing Digital Assistance in Knowledge-Based Maintenance -- Detection of Directed Connectivities in Dynamic Systems for Different Excitation Signals using Spectral Granger Causality -- Enabling Self-Diagnosis of AutomationDevices through Industrial Analytics -- Making Industrial Analytics work for Factory Automation Applications -- Application of Reinforcement Learning in Production Planning and Control of Cyber Physical Production Systems -- LoRaWan for Smarter Management of Water Network: From metering to data analysis.…”
Link to Metadata

Machine Learning for Cyber Physical Systems Selected papers from the International Conference ML4CPS 2020 /

Table of Contents: “…Preface -- Energy Profile Prediction of Milling Processes Using Machine Learning Techniques -- Improvement of the prediction quality of electrical load profiles with artficial neural networks -- Detection and localization of an underwater docking station -- Deployment architecture for the local delivery of ML-Models to the industrial shop floor -- Deep Learning in Resource and Data Constrained Edge Computing Systems -- Prediction of Batch Processes Runtime Applying Dynamic Time Warping and Survival Analysis -- Proposal for requirements on industrial AI solutions -- Information modeling and knowledge extraction for machine learning applications in industrial production systems -- Explanation Framework for Intrusion Detection -- Automatic Generation of Improvement Suggestions for Legacy, PLC Controlled Manufacturing Equipment Utilizing Machine Learning -- Hardening Deep Neural Networks in Condition Monitoring Systems against Adversarial ExampleAttacks -- First Approaches to Automatically Diagnose and Reconfigure Hybrid Cyber-Physical Systems -- Machine learning for reconstruction of highly porous structures from FIB-SEM nano-tomographic data.…”
Link to Metadata

Machinability and Tribological Performance of Advanced Alloys

Subjects: “…Machinability…”
DOAB: download the publication
DOAB: description of the publication

Electric Machines for Smart Grids Applications Design, Simulation and Control

DOAB: download the publication
DOAB: description of the publication

Advances in Human and Machine Navigation Systems

DOAB: download the publication
DOAB: description of the publication

Machine Learning for Cyber Physical Systems Selected papers from the International Conference ML4CPS 2018

DOAB: download the publication
DOAB: description of the publication

Machine Learning for Cyber Physical Systems Selected papers from the International Conference ML4CPS 2020

Subjects: “…Machine Learning…”
DOAB: download the publication
DOAB: description of the publication

Writing, Medium, Machine: Modern Technographies

DOAB: download the publication
DOAB: description of the publication

Machining-Recent Advances, Applications and Challenges by Urbicain, Gorka

Subjects: “…machinability…”
DOAB: download the publication
DOAB: description of the publication

Peripheral Nervous System-Machine Interfaces by Claudio Castellini

DOAB: download the publication
DOAB: description of the publication

Theory and Novel Applications of Machine Learning

Subjects: “…Machine learning…”
DOAB: download the publication
DOAB: description of the publication

Introduction to Data Science and Machine Learning

DOAB: download the publication
DOAB: description of the publication

Machining Dynamics and Parameters Process Optimization

Subjects: “…machining mode…”
DOAB: download the publication
DOAB: description of the publication

Machine Learning Techniques for Assistive Robotics

DOAB: download the publication
DOAB: description of the publication

Applications of Synergies in Human Machine Interfaces

Subjects: “…brain machine interfaces…”
DOAB: download the publication
DOAB: description of the publication

Machine Learning and Decision Support in Stroke

Subjects: “…machine learning…”
DOAB: download the publication
DOAB: description of the publication

Bioinformatics Applications Based On Machine Learning

Subjects: “…machine learning…”
DOAB: download the publication
DOAB: description of the publication