Results 61 to 70 of about 57,099 (266)
Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)
Advanced Science, EarlyView.ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang +14 more
wiley +1 more source
Automatic matching of features in Synthetic Aperture Radar data to digital map data. [PDF]
, 1993 The large amounts of Synthetic Aperture Radar (SAR) data now being generated demand automatic tools for image interpretation. Where available, map data provides a valuable aid for visual interpretation and it should aid automatic interpretation ...
Caves, Ronald George
core
Numerical study on signatures of atmospheric convective cells in radar images of the ocean
, 1999 Current and wind variations at the ocean surface can give rise to a modulation of the sea surface roughness and thus become visible in radar images. The discrimination between radar signatures of oceanic and atmospheric phenomena can be quite difficult ...
Susanne Ufermann +5 more
core +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Advanced Science, EarlyView.Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Highly Biomimetic Ectodermal Epithelial Organoids for Epithelial Barrier Stimulation Assays
Advanced Science, EarlyView.ABSTRACT Evaluating the potential toxicity of pharmaceuticals and biomaterials to ectodermal epithelia, such as the oral mucosa and skin, is indispensable in pre‐clinical assessments. However, this remains a challenge primarily owing to the lack of physiologically relevant and accurate screening models.
Yiming Chen +13 more
wiley +1 more source
Periscope detection radar [PDF]
Proceedings International Radar Conference, 2002 The periscope detection problem is described. An advanced simulation model is developed which allows the performance of advanced periscope detection radars to be determined. An advanced system employing three-dimensional filters and distribution-free CFAR is postulated.
openaire +2 more sources
Breast tumour detection using a flat 16 element array
, 2005 A new experimental prototype of a breast cancer detection technique using real aperture multi-static radar is presented. The system comprises a fully-populated 16 element flat array and an associated system to switch between different transmit and ...
Preece, A +6 more
core
Clutter rejection for MTI radar using a single antenna and a long integration time [PDF]
, 2011 Moving Target Indicators (MTI) are airborne radar systems designed to detect and track moving vehicles or aircrafts. In this paper, we address the problem of detecting hazardous collision targets to avoid them.
Jean-Yves Tourneret +5 more
core +1 more source
Radar Detection-Inspired Signal Retrieval from the Short-Time Fourier Transform. [PDF]
Sensors (Basel), 2022 Abratkiewicz K.
europepmc +1 more source