Results 31 to 40 of about 42,098 (267)
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Advanced Materials, EarlyView.Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
Short-term rainfall nowcasting: using rainfall radar imaging [PDF]
, 2009 As one of the most useful sources of quantitative precipitation measurement, rainfall radar analysis can be a very useful focus for research into developing methods for rainfall prediction.
O\u27Connor, Edel +7 more
core
The Global High Frequency Radar Network [PDF]
Frontiers in Marine Science, 2019 Academic, government, and private organizations from around the globe have established High Frequency radar (hereinafter, HFR) networks at regional or national levels. Partnerships have been established to coordinate and collaborate on a single global HFR network (http://global-hfradar.org/ ).
Hugh Roarty +31 more
openaire +8 more sources
Advanced Materials Interfaces, EarlyView.Programmable etherified‐starch networks enable humidity‐responsive soft actuators with tunable and reversible deformation. By tailoring crosslinking density and structural design, rapid response, controllable actuation, and long‐term stability are achieved.
Dan Zhou +13 more
wiley +1 more source
Development and performance evaluation of a multistatic radar system [PDF]
, 2008 Multistatic radar systems are of emerging interest as they can exploit spatial diversity, enabling improved performance and new applications. Their development is being fuelled by advances in enabling technologies in such fields as communications and ...
Doughty, Shaun Raymond, Doughty, S.R.
core
Deep neural network design for SAR/ISAR-based automatic target recognition
, 2022 S.243-277The automatic recognition of targets with radar is an ongoing research field for many years already. Since 2014, a new methodology based on deep neural networks is becoming more established within this field.
Brüggenwirth, S., Wagner, S.
core +1 more source
Advanced Materials Interfaces, EarlyView.Ultrathin MXene/EMF composite foams achieve a specific shielding efficiency of 749.6 dB.dB·cm3$\mathrm{dB}\cdot {\mathrm{cm}}^{3}$/g, while the silver‐enhanced MXene/Ag/EMF reaches 81.4 dB shielding effectiveness at just 1.0 mm thickness. Both composites exhibit rapid Joule heating, retain stability up to 250∘C$^\circ{\rm C}$, and withstand 1000 ...
Abdullah A. Mahmood +7 more
wiley +1 more source
Neural Networks & Machine Learning in Cognitive Radar
, 2022 S.2074-2079This paper reports on how neural networks and machine learning can support the development of cognitive radar systems. We discuss the aspects of cognition that can be supported by neural networks, review the recent literature on the use of ...
Smith, Graeme E. +3 more
core +1 more source
Advanced Materials Technologies, EarlyView.This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
Advanced Materials Technologies, EarlyView.Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
wiley +1 more source