Results 91 to 100 of about 32,837 (284)
Spatiotemporal Statistical Downscaling for the Fusion of In-lake and Remote Sensing Data [PDF]
This paper addresses the problem of fusing data from in-lake monitoring\ud programmes with remote sensing data, through statistical downscaling. A\ud Bayesian hierarchical model is developed, in order to fuse the in-lake and remote\ud sensing data using spatially-varying coefficients.
Wilkie, Craig +7 more
openaire
Inspired by viral entry mechanisms, the FUSION assay enables autonomous detection of respiratory viruses via membrane fusion–triggered CRISPR‐Cas13a activation. VEACON selectively fuses with fusion‐competent viruses, triggering fluorescence within confined vesicles.
Jae Chul Park +15 more
wiley +1 more source
STFM: Accurate Spatio-Temporal Fusion Model for Weather Forecasting
Meteorological prediction is crucial for various sectors, including agriculture, navigation, daily life, disaster prevention, and scientific research.
Jun Liu +5 more
doaj +1 more source
A thermally adaptive plasmonic metasurface, functionalized with poly(N‐isopropylacrylamide) (PNIPAM) and anti‐CD63 antibodies, enables precise, on‐demand capture and release of extracellular vesicles (EVs). Delivering high recovery, improved purity, and intact vesicle structure, the platform offers a versatile, label‐free solution for real‐time EV ...
Beyza Nur Kucuk +7 more
wiley +1 more source
The Remote Sensing Geostatistical Paradigm: A Review of Key Technologies and Applications
Advancements in earth observation technologies are ushering in the big data era, yet this potential is compromised by intrinsic challenges: inherent uncertainty, spatiotemporal heterogeneity, multi-scale character, and pervasive data gaps.
Junyu He
doaj +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Agricultural applications of remote sensing data typically require high spatial resolution and frequent observations. The increasing availability of high spatial resolution imagery meets the spatial resolution requirement well.
Shuaijun Liu +4 more
doaj +1 more source
Advances in Magnesium‐Based Thermoelectrics: A Critical Review
Magnesium‐based thermoelectric materials have emerged as promising candidates for low‐to‐mid‐temperature energy conversion due to their abundance, low cost, and competitive performance. This review summarizes recent advances in Mg3X2, MgAgSb, and Mg2X systems, covering transport mechanisms, fabrication strategies, stability challenges, and device ...
Li‐Min Zhang +5 more
wiley +1 more source
A Bayesian Data Fusion Approach to Spatio-Temporal Fusion of Remotely Sensed Images
Remote sensing provides rich sources of data for the monitoring of land surface dynamics. However, single-sensor systems are constrained from providing spatially high-resolution images with high revisit frequency due to the inherent sensor design ...
Jie Xue, Yee Leung, Tung Fung
doaj +1 more source
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
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

