The automotive sector is greatly contributing to pollutant emissions and recent regulations introduced the need for a major control of, and reduction of, internal combustion engine emissions.Artificial intelligence (AI) algorithms have proven to hold the potential to be the thrust in the state-of-the-art for engine-out emission prediction, thus ena
In this paper we propose a deformable registration framework for high resolution satellite video data able quadruple ointment to automatically and accurately co-register satellite video frames and/or register them to a reference map/image.The proposed approach performs non-rigid registration, formulates a Markov Random Fields (MRF) model, while eff
Abstract The therapeutic landscape in metastatic melanoma has changed dramatically in the last decade, with the success of immune checkpoint inhibitors resulting in durable responses for a large 1994 toyota camry green number of patients.For patients with BRAF mutations, combinations of BRAF and MEK inhibitors demonstrated response rates and benefi
Here, the authors analyse a two-step constant false alarm rate (CFAR) detection problem in distributed sensor system (e.g.statistical multiple-input multiple-output (MIMO) radar) for fast-fluctuating targets (TS-AMF-II).The scheme arises when a data rate restriction forces each of the distributed systems to censor their detection statistics before
Abstract Since its debut in the biomedical research fields in 1981, zebrafish have been used as a vertebrate model organism in more than 40,000 biomedical research studies.Especially useful are zebrafish ferm living hoop lines expressing fluorescent proteins in a molecule, intracellular organelle, cell or tissue specific manner because they allow t