Results 11 to 20 of about 781,393 (257)
Deep-learning model for screening sepsis using electrocardiography
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, 2021 Background Sepsis is a life-threatening organ dysfunction and a major healthcare burden worldwide. Although sepsis is a medical emergency that requires immediate management, screening for the occurrence of sepsis is difficult.
Joon-myoung Kwon +10 more
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Artificial Intelligence, International Competition, and the Balance of Power (May 2018) [PDF]
, 2018 World leaders, CEOs, and academics have suggested that a revolution in artificial intelligence is upon us. Are they right, and what will advances in artificial intelligence mean for international competition and the balance of power?
Horowitz, Michael C.
core +1 more source
DIR: A Large-Scale Dialogue Rewrite Dataset for Cross-Domain Conversational Text-to-SQL
Applied Sciences, 2023 Semantic co-reference and ellipsis always lead to information deficiency when parsing natural language utterances with SQL in a multi-turn dialogue (i.e., conversational text-to-SQL task).
Jieyu Li +6 more
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Artificial Intelligence "AI":, Marketing Touchpoints
المجلة الدولية للأداء الاقتصادي, 2021 Data analysts behind the "Marketing" desk keep trying to find links between identified data, but they can't easily find patterns in complex and huge amount of data, in order to generate insights. “There is where Artificial Intelligence brightly shines and supports many more functions intelligently in marketing department ...
Abi, Khalida +2 more
openaire +3 more sources
Relation-Aware Graph Transformer for SQL-to-Text Generation
Applied Sciences, 2021 Generating natural language descriptions for structured representation (e.g., a graph) is an important yet challenging task. In this work, we focus on SQL-to-text, a task that maps a SQL query into the corresponding natural language question.
Da Ma +5 more
doaj +1 more source
AI Gamma-Ray Burst Classification: Methodology/Preliminary Results [PDF]
, 1997 Artificial intelligence (AI) classifiers can be used to classify unknowns, refine existing classification parameters, and identify/screen out ineffectual parameters.
Haglin, David J. +5 more
core +3 more sources
Robust and provably monotonic networks
Machine Learning: Science and Technology, 2023 The Lipschitz constant of the map between the input and output space represented by a neural network is a natural metric for assessing the robustness of the model.
Ouail Kitouni +2 more
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Data augmentation methods for semantic segmentation-based mobile robot perception system [PDF]
Serbian Journal of Electrical Engineering, 2022 Data augmentation has become a standard technique for increasing deep learning models’ accuracy and robustness. Different pixel intensity modifications, image transformations, and noise additions represent the most utilized data augmentation ...
Jokić Aleksandar +3 more
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Intelligent systems in manufacturing: current developments and future prospects [PDF]
, 2000 Global competition and rapidly changing customer requirements are demanding increasing changes in manufacturing environments. Enterprises are required to constantly redesign their products and continuously reconfigure their manufacturing systems ...
Kobbacy, KAH +3 more
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Mathematics, 2022 In this paper, the dynamics of a micro-nano particle on the micro-thin plate driven by an acoustic signal was investigated, including the particle kinematics mode, kinematics equation, and trajectory control.
Xiaodong Jiao +3 more
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