Results 111 to 120 of about 2,589,305 (204)
Compressive sampling methods for superresolution imaging
We investigate superresolution imaging using negative index metamaterials. Measurement of subwavelength scale features in the image domain is tedious and compressive sampling techniques are considered to alleviate this problem. A single detector (c.f.
Richard Dudley +5 more
core +1 more source
This study proposes a potential device design for joint cartilage replacement. Silica‐polytetrahydrofuran (SiO2‐PolyTHF) hybrids with customizable mechanical properties were developed to mimic the characteristics of a natural meniscus. These were synthesized through a two‐pot sol–gel hybrid process.
Yu‐Chien Lin +12 more
wiley +1 more source
Compressive Sensing for PAN-Sharpening [PDF]
Based on compressive sensing framework and sparse reconstruction technology, a new pan-sharpening method, named Sparse Fusion of Images (SparseFI, pronounced as sparsify), is proposed in [1].
Bamler, Richard +3 more
core
Elastic–Plastic Modeling and Experimental Characterization of Granular Jamming Actuators
Granular jamming enables rapid switching between soft and rigid mechanical states. Here, a reduced‐order elastic‐perfectly‐plastic beam framework captures pressure‐dependent loading, unloading, residual deformation, and hysteresis in jammed beams, while matching three‐point bending experiments across materials and geometries. The framework links design
Saheli Patel +2 more
wiley +1 more source
Rotary 3D Printing With Integrated Electroplating
A rotary material extrusion platform integrates localized copper electroplating with printing and encapsulation to fabricate cylindrical polymer–metal structures containing fully embedded, low‐resistance conductive pathways that enable internal Joule heating and thermally activated shape‐memory responses.
Antonio Zagaria +5 more
wiley +1 more source
Electrodeposition in Structural Lattices of Variable Architectures
Electrodeposition enables geometry‐sensitive, autonomous void filling while simultaneously tuning chemical and mechanical properties. The development of approaches that can autonomously fill and heal material voids and yield composites with tailorable properties is increasingly relevant in engineering.
Yeong‐Man Kwon +3 more
wiley +1 more source
Compressive Sampling: The Future of Efficiency and Signal Processing
Additional contributors: Emmanuel Candès; Stephen Boyd; Michael Grant; Yinyu Ye; Ronald DeVore; Terrence Tao; Willard Miller (faculty mentor)The majority of data stored in a computer or in a signal are place-holding zeroes.
Mueller, Peter
core
Additively manufactured AlCrFe2Ni2 with contrasting BCC/B2‐dominant and lamellar FCC + BCC/B2 microstructures exhibits the same pressure‐induced BCC/B2 → HCP transformation. Under laser heating at high pressure, HCP is destabilized, and a cubic BCC/B2 + FCC assemblage is recovered, while the lower‐scan‐speed microstructure transforms at a lower ...
Raimundas Sereika +5 more
wiley +1 more source
A Comprehensive Study of MCS-TCL: Multi-Functional Sampling for Trustworthy Compressive Learning
Compressive Learning (CL) is an emerging paradigm that allows machine learning models to perform inference directly from compressed measurements, significantly reducing sensing and computational costs.
Fuma Kimishima, Jian Yang, Jinjia Zhou
doaj +1 more source
Gyroid Structured Globugraphite Carbon Foam With Hierarchical and Tailored Pore Size
Secondary sacrificial templates were designed and printed to create a defined network within a porous carbon. Lattices thermally degrades during the sintering process. Lattices are imprinted into the ceramic template and transferred to the morphology of Globugraphite.
Christiane Roller +6 more
wiley +1 more source

