Results 211 to 220 of about 3,622,541 (329)

Inference on covariance structure in high-dimensional multi-view data [PDF]

Lorenzo Mauri, David B. Dunson
openalex   +1 more source

Bistable Mechanisms 3D Printing for Mechanically Programmable Vibration Control

Advanced Engineering Materials, EarlyView.
This work introduces a 3D‐printed bistable mechanism integrated into tuned mass dampers (TMDs) for mechanically adaptive passive vibration suppression. Through optimized geometry, the bistable design provides adaptable vibration reduction across a broad range of scenarios, achieving effective vibration mitigation without complex controls or external ...
Ali Zolfagharian, Frédéric Demoly, Mohammad Lakhi, Bernard Rolfe, Mahdi Bodaghi   +4 more
wiley   +1 more source

Repeated Sieving for Prediction Model Building with High-Dimensional Data. [PDF]

J Pers Med
Liu L, Jung SH.
europepmc   +1 more source

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

Integrative rank-based regression for multi-source high-dimensional data with multi-type responses. [PDF]

J Appl Stat
Xu F, Ma S, Zhang Q.
europepmc   +1 more source

Learning Distributional Shifts in High-Dimensional Seismic Data using Variational Autoencoders [PDF]

Tamoghno Ghosh, Aurobinda Routray, Mamata Jenamani, Sanjai Singh   +3 more
openalex   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Controlling false discovery rate for mediator selection in high-dimensional data. [PDF]

Biometrics
Dai R, Li R, Lee S, Liu Y.
europepmc   +1 more source

AI performs on high-resolution three-dimensional ocean temperature forecasting: remote sensing data-driven becomes a new possibility

Jiang, Jiawei, Mo, Huier, Zhang, Lin, Wan, Liying, Zhang, Xiangguang, Drévillon, Marie, Xu, Boya, Wang, Jun, Xin, Jinyuan, Ma, Yining   +9 more
openalex   +1 more source

Smart sampling and incremental function learning for very large high dimensional data

, 2015
Diego Loyola, Mattia Pedergnana, Sebastián Gimeno Garcìa   +2 more
openalex   +1 more source