Data compression and compressed sensing algorithms exploit the structure present in a signal for its efficient representation and measurement, respectively.
The issues of software compute time and complexity are very important in current computer-aided design (CAD) tools.
Measurement of the contact resistance between metal electrodes can be used to study surface films of nonconducting substances such as adsorbed gases.
A technique for implementing algorithms on a multiprocessor computer system is "data partitioning," in which input data for a problem is partitioned among many processors who cooperate to solve the
Even small variations in mobile hardware and software can cause significant heterogeneity in the sensor data each device collects.
Many service systems have demand that varies significantly by time of day, making it costly to provide sufficient capacity to be able to respond very quickly to each service request.
When a signal is transmitted by PCM, the receiver must be able to group the serial pulse train into code words before it can properly recover the original signal.
Much research in machine learning has been focused on the problem of symbol- level learning (SLL), or learning improve the performance of a given examples of its behavior on typical inputs.
A DNA-based molecular machine is described which has two movable arms that can be pushed apart when a strand of DNA, referred to as the fuel strand, hybridized with a single- stranded region of the
DNA hybridization has been used to power a number of DNA-based nanostructures constructed out of DNA. Here some considerations that go into DNA-based motor design are briefly reviewed.
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AI-enhance wireless reliability: joint source and channel coding for robust 6G air interface
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