Results 211 to 220 of about 6,436,916 (343)

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

Advanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba, Sang‐Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte‐Kerzel, Ulrich Kerzel   +5 more
wiley   +1 more source

Comprehensive Review and Analysis of Wind Energy Forecasting Models Using Deep Learning: Current Trends, Gaps, and Future Directions

Edgar A. Manzano, Rubén Nogales, Alberto Ríos   +2 more
openalex   +1 more source

Hedging and machine learning driven crude oil data analysis using a refined Barndorff-Nielsen and Shephard model

, 2021
Humayra Shoshi, Indranil SenGupta
openalex   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

HYBRID MECHINE LEARNING MODEL FOR EFFICIENT BOTENT ATTACK DETECTION IN IOT ENVIRONMENT

ajmimc
openalex   +1 more source

ProMol_Func: A Structure-Free Deep Learning Model for Virtual Screening. [PDF]

JACS Au
Feng Z, Kim M, Richards A, Lupoli TJ, Zhang Y.   +4 more
europepmc   +1 more source

Numerical Modeling of Tank Cars Carrying Hazardous Materials With and Without Composite Metal Foam

Advanced Engineering Materials, EarlyView.
Large‐scale puncture models consisting of hazardous materials (HAZMATs) tank car with protective steel–steel composite metal foam (S–S CMF) are solved numerically. Tank car plate with added 10.91–13.33 mm thick S–S CMF layer does not puncture. Protective S–S CMF absorbs impact energy, reduces plate deformation, and prevents shear bands formation ...
Aman Kaushik, Afsaneh Rabiei
wiley   +1 more source

Implementation of Hybrid Prediction Model for Covid19 Using Machine Learning

, 2022
Kalyani Dahikar, Sangram Sanjayrao Dandge, Vaishali Deshmukh   +2 more
openalex   +1 more source

Seasonal forecasting using the GenCast probabilistic machine learning model. [PDF]

Clim Dyn
Antonio B, Strommen K, Christensen HM.
europepmc   +1 more source

Additive Manufacturing of Continuous Fibre Reinforced Composites: Process, Characterisation, Modelling, and Sustainability

Advanced Engineering Materials, EarlyView.
Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley   +1 more source