Results 21 to 30 of about 329,662 (331)
ACM SIGKDD Explorations Newsletter, 2004 The goal of giving a well-defined meaning to information is currently shared by endeavors such as the Semantic Web as well as by current trends within Knowledge Management. They all depend on the large-scale formalization of knowledge and on the availability of formal metadata about information resources.
Cimiano, Philipp, Staab, Steffen
openaire +2 more sources
Google in a Quantum Network [PDF]
Scientific Reports, 2012 We introduce the characterization of a class of quantum PageRank algorithms in a scenario in which some kind of quantum network is realizable out of the current classical internet web, but no quantum computer is yet available. This class represents a quantization of the PageRank protocol currently employed to list web pages according to their ...
Paparo G.D., Martin-Delgado M.A.
openaire +5 more sources
Multimodal Locomotion: Next Generation Aerial–Terrestrial Mobile Robotics
Advanced Intelligent Systems, EarlyView., 2023 Aerial–terrestrial robots can achieve efficient energy consumption and robust environmental interaction by adding morphological features, adapting forms for locomotion transitions, and integrating multiple platforms. This next generation of mobile robots advances real‐world robotic deployment for operations with complex tasks and tackle environments ...
Jane Pauline Ramirez, Salua Hamaza
wiley +1 more source
The link between Bitcoin and Google Trends attention [PDF]
arXiv, 2021 This paper shows that Bitcoin is not correlated to a general uncertainty index as measured by the Google Trends data of Castelnuovo and Tran (2017). Instead, Bitcoin is linked to a Google Trends attention measure specific for the cryptocurrency market. First, we find a bidirectional relationship between Google Trends attention and Bitcoin returns up to
arxiv
A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan
npj Digital Medicine, 2021 The COVID-19 pandemic has highlighted the global need for reliable models of disease spread. We propose an AI-augmented forecast modeling framework that provides daily predictions of the expected number of confirmed COVID-19 deaths, cases, and ...
Sercan Ö. Arık +28 more
doaj +1 more source
A machine-learning based objective measure for ALS disease severity
npj Digital Medicine, 2022 Amyotrophic Lateral Sclerosis (ALS) disease severity is usually measured using the subjective, questionnaire-based revised ALS Functional Rating Scale (ALSFRS-R).
Fernando G. Vieira +7 more
doaj +1 more source
Large coverage fluctuations in Google Scholar: a case study [PDF]
arXiv, 2021 Unlike other academic bibliographic databases, Google Scholar intentionally operates in a way that does not maintain coverage stability: documents that stop being available to Google Scholar's crawlers are removed from the system. This can also affect Google Scholar's citation graph (citation counts can decrease). Furthermore, because Google Scholar is
arxiv
Privacy-first health research with federated learning
npj Digital Medicine, 2021 Privacy protection is paramount in conducting health research. However, studies often rely on data stored in a centralized repository, where analysis is done with full access to the sensitive underlying content.
Adam Sadilek +17 more
doaj +1 more source
Cross-modal distillation for flood extent mapping
Environmental Data Science, 2023 The increasing intensity and frequency of floods is one of the many consequences of our changing climate. In this work, we explore ML techniques that improve the flood detection module of an operational early flood warning system.
Shubhika Garg +6 more
doaj +1 more source