Results 211 to 220 of about 75,704 (303)
An intelligent framework combining deep learning and fuzzy logic for accurate remote language translation. [PDF]
Geng C.
europepmc +1 more source
ABSTRACT The increasing frequency of concurrent heat and drought stress poses a significant challenge to agricultural productivity, particularly for cool‐season grain legumes, including broad bean (Vicia Faba L.), lupin (Lupinus spp.), lentil (Lens culinaris Medik), chickpea (Cicer arietinum L.), grasspea (Lathyrus sativus L.), pea (Pisum sativum L ...
Manu Priya +2 more
wiley +1 more source
Deeper insight into speech characteristics of patients at ultra-high risk using classification and explainability models. [PDF]
Kim-Dufor DH +5 more
europepmc +1 more source
ABSTRACT Joint inquiry requires agents to exchange public content about some target domain, which in turn requires them to track which content a linguistic form contributes to a conversation. But, often, the inquiry delivers a necessary truth. For example, if we are inquiring whether a particular bird, Tweety, is a woodpecker, and discover that it is ...
Una Stojnić, Matthew Stone
wiley +1 more source
Artificial intelligence-driven natural language processing for identifying linguistic patterns in Alzheimer's disease and mild cognitive impairment: A study of lexical, syntactic, and cohesive features of speech through picture description tasks. [PDF]
Nyongesa CA, Hogarth M, Pa J.
europepmc +1 more source
ABSTRACT Innovation is desirable for the public sector. Yet understanding what and how some innovation projects survive and thrive in a competitive landscape—or public sector innovation—is often challenging. The challenges not only rest in the invisibility of the features of an innovation to human eyes but also in the lack of their accessibility for ...
Yanto Chandra, Jianxiang Tan
wiley +1 more source
Gender stereotypes in agreement processing with role nouns: a study on Russian. [PDF]
Slioussar N, Antropova D.
europepmc +1 more source
Guessing at Ghosts in the Machine
ABSTRACT As AI grows ever more complex and ubiquitous, its moral status becomes increasingly pressing. But knowing whether an AI has moral status is only part of the ethical puzzle. To determine how we ought to treat such entities, we must know not only whether AIs have moral status, but also about the content of their interests—what contributes to ...
Helen Yetter‐Chappell
wiley +1 more source

