Results 41 to 50 of about 38,989 (313)
Remote Sensing, 2020 While archaeologists have long understood that thermal and multi-spectral imagery can potentially reveal a wide range of ancient cultural landscape features, only recently have advances in drone and sensor technology enabled us to collect these data at ...
Austin Chad Hill +2 more
doaj +1 more source
A Semi-Autonomos Drone for Surveillance and Security [PDF]
INCAS Bulletin, 2020 A semi-autonomous aircraft to provide a real time surveillance in combat and rescue operation. It will fly autonomously ahead of user to find out the threats like distant enemies and traps like landmines.
VISHAL JANGRA, SUNIL
doaj +1 more source
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 +8 more
wiley +1 more source
Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones
Advanced Engineering Materials, EarlyView.A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell +3 more
wiley +1 more source
Clutter Learning Based LS Method for Buried Target Detection in GPR Images
Havacılık ve Uzay Teknolojileri Dergisi, 2020 regularized version of the least squares (LS) target detection method is combined with the subspace-based clutter learning for buried target detection in ground penetrating radar (GPR) images.
Deniz Kumlu, Isın Erer
doaj
, 2015 The characterization of shallow soil moisture spatial variability at the large scale is a crucial issue in many research studies and fields of application ranging from agriculture and geology to civil and environmental engineering.
M. Giudici +9 more
core +1 more source
Advanced Engineering Materials, EarlyView.A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials
Advanced Engineering Materials, EarlyView.An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut +16 more
wiley +1 more source
GPR Pulse Propagation Topography [PDF]
Applied Computational Electromagnetics Society, 2021 In this article, I propose a new method for calculating and visualizing the pulse radiation within the depth range commonly used by Ground Penetrating Radar (GPR). The text describes the method and illustrates the propagation with several examples. One conventional method is also applied for a quick comparison.
openaire +4 more sources
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
Advanced Functional Materials, EarlyView.A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source