The Information Processing and Machine Learning Laboratory (IPML) supports research in theoretical algorithm development in digital signal processing, adaptive and nonlinear signal processing, machine ...
While satellite navigation has become an essential part of modern life, it still struggles to work reliably indoors and in ...
About 125 miles off the New England coast, a small group of researchers from the University of Delaware’s College of Engineering are harnessing the power of underwater acoustics, big data and machine ...
In recent years, the intersection of artificial intelligence (AI), machine learning (ML), and acoustic signal processing has emerged as a rapidly advancing field, offering new ways to analyze, ...
Researchers at the Georgia Tech Research Institute recently combined machine learning, field-programmable gate arrays (FPGAs), graphics processing units (GPUs), and a novel radio frequency image ...
Signal processing is a multidisciplinary field concerned with the analysis, transformation, and interpretation of signals—functions that convey information about physical phenomena. At its core, ...
Citation O. Taran, S. Bonev, and S. Voloshynovskiy, "Clonability of anti-counterfeiting printable graphical codes: a machine ...
Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...
The Stochastic Information Processing Group (SIP) ( http://sip.unige.ch ), University of Geneva, Switzerland, has two open PhD positions in machine learning in the scope of Swiss Synergia Project ...
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