Artificial Intelligence as the Next Visionary in Liquid Crystal Research
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam +2 more
wiley +1 more source
Tissue Engineered Human Elastic Cartilage From Primary Auricular Chondrocytes for Ear Reconstruction
Despite over three decades of research, no tissue‐engineered solution for auricular reconstruction in microtia patients has reached clinical translation. The key challenge lies in generating functional elastic cartilage ex vivo. Here, we integrate synergistic cell‐biomaterial strategies to engineer auricular grafts with mechanical and histological ...
Philipp Fisch +13 more
wiley +1 more source
Noise filtering method in images in sparse-view covers
This article describes a method for image restoration using sparse representations. A sparse representation is a description of an image in the form of fragments of coefficients selected from a predefined dictionary.
Y.V. Goshin, D.V. Arkhipova
doaj +1 more source
Determining and Validating Population Differences in Magnetic Resonance Angiography Using Sparse Representation. [PDF]
Mendoza S, Scalzo F, Chien A.
europepmc +1 more source
Nanosecond pulse laser texturing yields superhydrophobic and superhydrophilic AA2024 surfaces. Salt‐spray tests show that periodic superhydrophobic patterns suppress pitting, whereas superhydrophilic textures enhance it, linking laser‐induced morphology, wettability, and oxide chemistry to corrosion resistance.
Lis Geraldine Zschach +8 more
wiley +1 more source
Sparse Representation-Based Multi-Focus Image Fusion Method via Local Energy in Shearlet Domain. [PDF]
Li L, Lv M, Jia Z, Ma H.
europepmc +1 more source
Meniscus Pixel Printing for Contact‐Lens Vision Sensing and Robotic Control
A visual‐sensing contact lens is enabled by meniscus pixel printing (MPP), which rapidly patterns a 200 µm perovskite photodetector pixel in 1 s without masks, vacuum processing, or bulky equipment. A deep‐learning‐based super‐resolution reconstructs sparse on‐lens signals into 80 × 80 high‐resolution visual information, while AI‐driven eye‐tracking ...
Byung‐Hoon Gong +7 more
wiley +1 more source
Image restoration with group sparse representation and low‐rank group residual learning
Image restoration, as a fundamental research topic of image processing, is to reconstruct the original image from degraded signal using the prior knowledge of image.
Zhaoyuan Cai +5 more
doaj +1 more source
Super-resolution of X-ray CT images of rock samples by sparse representation: applications to the complex texture of serpentinite. [PDF]
Omori T +3 more
europepmc +1 more source
On sparse evaluation representations
The sparse evaluation graph has emerged over the past several years as an intermediate representation that captures the dataflow information in a program compactly and helps perform dataflow analysis efficiently. The contributions of this paper are three-fold: We present a linear time algorithm for constructing a variant of the sparse evaluation graph ...
openaire +1 more source

