Industria 4.0

Industria 4.0

Big Data Exploration, Visualization and Analytics
12/05/2020 - /description>https://www.sciencedirect.com/science/article/pii/S2214579619302254?dgcid=rss_sd_allhttps://www.sciencedirect.com/science/article/pii/S2214579619302254A Hierarchical Dimension...
Autonomous in-situ correction of fused deposition modeling printers using computer vision and deep learning
04/02/2020 - Fused deposition modeling, a widely used additive manufacturing process, currently faces challenges in printed part quality such as under-extrusion and over-extrusion. In this paper, a real-time...
Effect of hydrothermal treatment on linear and nonlinear rheological properties of highland barley gels
07/01/2020 - The objective of our research was to contrast the resonance techniques on tubers with the more commonly used morphological analyses. With the aims of establishing a classification among ecotypes and...
HiePaCo: Scalable Hierarchical Exploration in Abstract Parallel Coordinates Under Budget Constraints
08/10/2019 - In exploratory visualization systems, interactions allow to manipulate a visual representation and thereby gain insight into its supporting data. The responsiveness of these interactions is...
Parallelizing Computations of Full Disjunctions
08/10/2019 - In relational databases, the full disjunction operator is an associative extension of the full outerjoin to an arbitrary number of relations. Its goal is to maximize the information we can extract...
Systematic Review of the Literature on Big Data in the Transportation Domain: Concepts and Applications
08/10/2019 - Research in Big Data and analytics offers tremendous opportunities to utilize evidence in making decisions in many application domains. To what extent can the paradigms of Big Data and analytics...
Towards Sustainable Smart City by Particulate Matter Prediction Using Urban Big Data, Excluding Expensive Air Pollution Infrastructures
08/10/2019 - Living in the age of data and the new era of digitalization of cities have created a large volume of datasets and data flows associated with the urban environments. It is significantly vital to...
A Hierarchical Dimension Reduction Approach for Big Data with Application to Fault Diagnostics
03/10/2019 - About four zetta bytes of data, which falls into the category of big data, is generated by complex manufacturing systems annually. Big data can be utilized to improve the efficiency of an aging...
Anti-spoofing's state-of-the-art: deep learning meets super sensors
23/09/2019 - In the 1968 SciFi movie 2001: A Space Odyssey, HAL 9000 famously says: “I can tell from your voice harmonics, Dave, that you're badly upset. Why don't you take a stress pill and get...
Process-Monitoring-for-Quality — A Robust Model Selection Criterion for Logistic Regression Algorithm
18/09/2019 - Process Monitoring for Quality is a big data-driven quality philosophy aimed at defect detection through binary classification. The l1-regularized Logistic Regression learning algorithm has been...
A self-aware and active-guiding training & assistant system for worker-centered intelligent manufacturing
18/09/2019 - Training and on-site assistance is critical to help workers master required skills, improve worker productivity, and guarantee the product quality. Traditional training methods lack worker-centered...
Deep Learning for Distortion Prediction in Laser-Based Additive Manufacturing using Big Data
18/09/2019 - Laser-Based Additive Manufacturing (LBAM) is a fabrication process that is a key aspect of Industry 4.0, which aims to employ many sensors for continuous process control. One current challenge in...