Results 21 to 30 of about 1,281,795 (323)
Investigation Experimental Of the Concrete Properties Containing Bentonite and Zeolite as Natural Pozzolan [PDF]
پژوهشهای زیرساختهای عمرانی, 2021 Using pozzolanic materials in concrete manufacturing is intended as an optimal solution to lower the rate of greenhouse gas emission, and diminish energy resources and cement consumption.
Sara Khosravi +3 more
doaj +1 more source
Model-Based Compressive Sensing [PDF]
IEEE Transactions on Information Theory, 2008 Compressive sensing (CS) is an alternative to Shannon/Nyquist sampling for the acquisition of sparse or compressible signals that can be well approximated by just K ¿ N elements from an N -dimensional basis.
Richard Baraniuk +3 more
semanticscholar +1 more source
Compressive and shear strength of coarse silt stabilized with Terramix F22.5 binder [PDF]
Acta Scientiarum Polonorum. Formatio Circumiectus, 2023 Aim of the study: The paper presents the results of testing the compressive strength, frost resistance and shear strength of stabilized fine-grained soil depending on the added hydraulic binder and the time and method of curing.
Katarzyna Kamińska
doaj +1 more source
Enabling Large Intelligent Surfaces With Compressive Sensing and Deep Learning [PDF]
IEEE Access, 2019 Employing large intelligent surfaces (LISs) is a promising solution for improving the coverage and rate of future wireless systems. These surfaces comprise massive numbers of nearly-passive elements that interact with the incident signals, for example by
A. Taha +2 more
semanticscholar +1 more source
Compressive image sensor architecture with on-chip measurement matrix generation [PDF]
, 2017 A CMOS image sensor architecture that uses a cellular automaton for the pseudo-random compressive sampling matrix generation is presented. The image sensor employs in-pixel pulse-frequency modulation and column wise pulse counters to produce compressed ...
Carmona Galán, Ricardo +2 more
core +1 more source
Compression-Based Compressed Sensing [PDF]
IEEE Transactions on Information Theory, 2017 Modern compression algorithms exploit complex structures that are present in signals to describe them very efficiently. On the other hand, the field of compressed sensing is built upon the observation that "structured" signals can be recovered from their under-determined set of linear projections.
Farideh E. Rezagah +3 more
openaire +2 more sources
Compressive Sensing DNA Microarrays [PDF]
, 2008 Compressive sensing microarrays (CSMs) are DNA-based sensors that operate using group testing and compressive sensing (CS) principles. In contrast to conventional DNA microarrays, in which each genetic sensor is designed to respond to a single target, in
Baraniuk, RG +3 more
core +1 more source
Measure What Should be Measured: Progress and Challenges in Compressive Sensing [PDF]
, 2012 Is compressive sensing overrated? Or can it live up to our expectations? What will come after compressive sensing and sparsity? And what has Galileo Galilei got to do with it? Compressive sensing has taken the signal processing community by storm.
Strohmer, Thomas
core +2 more sources
IEEE Transactions on Information Theory, 2010 Significant volumes of knowledge have been accumulated in recent years linking subtle genetic variations to a wide variety of medical disorders from Cystic Fibrosis to mental retardation. Nevertheless, there are still great challenges in applying this knowledge routinely in the clinic, largely due to the relatively tedious and expensive process of DNA ...
Erlich, Yaniv +4 more
openaire +3 more sources
Frontiers in Materials, 2022 With the increasing number of vehicles in the world, the amount of waste tires is increasing day by day. In this case, the disposal of expired tires will cause serious environmental problems.
Özer Zeybek +5 more
doaj +1 more source