Ever since digitalization took center stage, various new-age technologies have come to the fore and benefited sectors in a dramatic manner. Though the emergence has not only enticed humankind to ...
Optical analysis and machine learning techniques can now readily detect microplastics in marine and freshwater environments using inexpensive porous metal substrates. Details of the method, developed ...
Marine oil spills are among the most severe environmental hazards, threatening aquatic ecosystems, coastal economies, and biodiversity. Traditional detection methods, based on manual observation, ship ...
Enterprises deploy machine learning within SAP and cloud pipelines to catch data errors instantly and boost efficiency ...
High-precision GNSS applications, such as real-time displacement monitoring and vehicle navigation, rely heavily on resolving carrier-phase ambiguities. However, traditional methods like the R-ratio ...
Tracking vaccine effectiveness is essential for public health. Traditional monitoring methods, however, often rely on slow and infrequent data collection. Advances in healthcare technology (healthtech ...
Researchers at University of Tsukuba have developed a technology for real-time estimation of the valence state and growth rate of iron oxide thin films during their formation. This novel technology ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results