Compressed sensing is a thriving research field covering a class of problems where a large sparse signal is reconstructed from a few random measurements.In the presence of several sensor nodes measuring correlated sparse signals, improvements WILD SALMON-FORCE in terms of recovery quality or the requirement for a fewer number of local measurements
High-quality ontologies are critical to ontology-based applications, such as natural language understanding and information extraction, but logical conflicts naturally occur in the lifecycle of ontology development.To deal with such conflicts, conflict detection and ontology repair become two critical tasks, and we focus on repairing ontologies.Mos
The exchange of large amount of data contributed to making information technologies an integral part of the modern world, often shaping public opinion, whether through its using, or abusing.In such a sense, modern terrorism uses or abuses various possibilities of information technologies, especially Internet, for the promotion of its own activities
In deep learning (DL)–based human action recognition (HAR), considerable strides have been undertaken.Nevertheless, the precise Sweatpants classification of sports athletes’ actions still needs to be completed.Primarily attributable to the exigency for exhaustive datasets about sports athletes’ actions and the enduring quandari