Results 171 to 180 of about 397,119 (307)

Prediction and forecasting of worldwide corona virus (COVID‐19) outbreak using time series and machine learning

, 2022
Priyank Jain, Shriya Sahu
openalex   +2 more sources

Enhancing Corrosion Resistance and Mechanical Strength of 3D‐Printed Iron Polylactic Acid for Marine Applications via Laser Surface Texturing

Advanced Engineering Materials, EarlyView.
Laser surface texturing significantly improves the corrosion resistance and mechanical strength of 3D‐printed iron polylactic acid (Ir‐PLA) for marine applications. Optimal laser parameters reduce corrosion by 80% and enhance tensile strength by 25% and ductility by 15%.
Mohammad Rezayat, Mojtaba Karamimoghadam, Mohammadreza Lalegani Dezaki, Ali Zolfagharian, Giuseppe Casalino, Antonio Mateo, Mahdi Bodaghi   +6 more
wiley   +1 more source

MBLSTM is a contextual interaction refined method for time series prediction. [PDF]

Sci Rep
Qiu W, Zhu F, Hao T, Wang M, Huang R.
europepmc   +1 more source

Visibility graph for time series prediction and image classification: a review. [PDF]

Nonlinear Dyn, 2022
Wen T, Chen H, Cheong KH.
europepmc   +1 more source

Transformer-Based Time Series Prediction for Accident Scenarios in High-Reliability Critical Industrial Systems: Nuclear Power Plants Case

Xuan Zhang, meiqi song, Xiao Xiao, Xiaojing Liu   +3 more
openalex   +1 more source

Dynamic Precipitation during High‐Pressure Torsion of a Magnesium–Manganese Alloy

Advanced Engineering Materials, EarlyView.
An ultrafine‐grained alloy is produced by high‐pressure torsion of solutionized Mg–1.35 wt% Mn. Precipitation of nanometer‐scale Mn particles during deformation provides pinning sites. This prevents the formation of a bimodal grain structure and results in a finer grain size than for pure Mg.
Julian M. Rosalie, Anton Hohenwarter
wiley   +1 more source

Application of hybrid improved temporal convolution network model in time series prediction of river water quality. [PDF]

Sci Rep, 2023
Hu Y, Lyu L, Wang N, Zhou X, Fang M.
europepmc   +1 more source

Understanding vasopressor intervention and weaning: risk prediction in a public heterogeneous clinical time series database [PDF]

, 2016
Mike Wu, Marzyeh Ghassemi, Mengling Feng, Leo Anthony Celi, Peter Szolovits, Finale Doshi‐Velez   +5 more
openalex   +1 more source

Adaptable Tile‐Based Pneumatic Origami through Structurally Coupled Localized Actuation

Advanced Engineering Materials, EarlyView.
This article presents tile‐based pneumatic origami structures with rigid tiles and flexible fabric creases, achieving adaptable properties including morphing shape, selective multistability, and tunable stiffness. Independently pressurized folding bladders at each crease enable structurally coupled localized actuation of origami structures.
Tiantian Li, Jonathan Luntz, Diann Brei
wiley   +1 more source

Explainable AI for time series prediction in economic mental health analysis. [PDF]

Front Med (Lausanne)
Yang Y, Wen L, Li L.
europepmc   +1 more source