Results 181 to 190 of about 18,244,520 (347)
Modern smartphone images go through very heavy image processing before they are, for example stored, transmitted or presented on the screen. Image denoising, a process of removing noise, is one of the very first steps in smartphone image processing ...
Tanskanen, Olli
core
CDegSR, a new tool for imaging RNA at single molecule level in living cells was developed by researchers. Background noise was eliminated by protein engineering and making it degrade when not bound to its target. This allowed individual RNA molecules to be clearly imaged and tracked.
Shipeng Shao, Hongchen Zhang
wiley +1 more source
A photoelectrochemical circularly polarized light detector combines a multilayer chiral photonic film with a dynamically regulated BiVO4‐RGO‐MXene transducer. Broadband optical modulation from 360 to 830 nm is converted into stable electrical outputs through low‐noise solid‐liquid interfacial charge transfer, enabling self‐powered CPL discrimination ...
Siqin Zhou +5 more
wiley +1 more source
Wavelet transform based error concealment approach for image denoising
Denoising of images in compressed wavelet domain has potential application in transmission technology such as mobile communication. In this paper, we present a new image denoising scheme based on restoration of bit-planes of wavelet coefficients in ...
Kanhirodan, Rajan, Gupta, Pradeep K
core
Biomineralization underpins skeletal development, yet its molecular control remains incompletely understood. Using a novel murine knockout model, this study reveals the essential and complementary roles of PHOSPHO1 and TNAP in postnatal skeletal development.
Lucie E. Bourne +15 more
wiley +1 more source
KFO‐Atlas reveals how real‐world aromas are organized as structured mixtures rather than individual molecules. Building on these principles, KFO‐Gen, a generative AI framework, designs perceptually valid aroma formulations and reconstructs meat‐like aromas exclusively from plant‐derived odorants, providing a foundation for mixture‐level studies and AI ...
Jingzhi Zhang +5 more
wiley +1 more source
Adaptive wavelet thresholding for image denoising and compression
S. Chang, Bin Yu, M. Vetterli
semanticscholar +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
HCformer: Hybrid CNN-Transformer for LDCT Image Denoising
Jin-Li Yuan +4 more
semanticscholar +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source

