… Research on nitrate transporters over the years has therefore greatly contributed to our
current understanding of the nitrate transport machinery in plants and its regulation by external …

… ANNs can be defined as models of reasoning based on the human brain and consist of
interconnected neurons, which are now the most popular approaches to machine learning [46]. …

… To carry on into whose hands the working of the government war at that time, with such
Indians as were fell during the THIRTY YEARS, eventually availed then, supported by the British …

… In short, we try to provide some guidance regarding the fair question: “After some thirty years
of research on credal networks, what exactly is known about their specification, algorithms …

… We evaluated a machine-learning method, Random Forests (… grain yield from US counties
over thirty years, and 3) potato … an effective and versatile machine-learning method for crop …

… The practical uses and implications of machine learning in law are surging, and some
attention has been paid in the journal’s pages Footnote 8 , There is also a renewed interest in the …

… First, in the design of products, components and materials there will be machine learning
assisted design processes that will favour rapid prototyping and testing. Second, AI might …

… Given the overwhelmingly positive reception from learners during the past thirty years, through
the thick and the thin of popular attitudes toward computers, we will have CALL for a long …

… First, concerning the development of modern instrumentations for MCG, we would like to
remind that, after more than 10 years of single-channel MCG [2] and several preliminary tests …

… We combine machine learning with manual inspection to determine the classified board
status of over 12,500 firms from 1996 to 2020. We find that while the fraction of S&P 1500 firms …