Big data and human height: Scientists develop algorithm to boost biobank data retrieval and analysis
Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...
Abstract: Non-intrusive load monitoring (NILM) can provide appliance-level power consumption information without deploying submeters for each load, in which load event detection is one of the crucial ...
For India, a 10% sampling framework would signal a new era of transparency, expanding the DGCA’s role to monitoring airline ...
Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...
Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the visual system. Through accurate eye center annotation, physicians can observe ...
Abstract: We consider a time-slotted multihop wireless sensor network used for a remote estimation application. Sensor nodes sample processes of interest and convergecast the sampled data to a sink ...
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