Results 21 to 30 of about 720,089 (313)

Collective intelligence in fingerprint analysis [PDF]

open access: yesCognitive Research: Principles and Implications, 2019
Abstract When a fingerprint is located at a crime scene, a human examiner is counted upon to manually compare this print to those stored in a database. Several experiments have now shown that these professional analysts are highly accurate, but not infallible, much like other fields that involve high-stakes decision-making. One method
Jason Marcus Tangen   +2 more
openaire   +6 more sources

Effect of breast feeding on intelligence in children: prospective study, sibling pairs analysis, and meta-analysis [PDF]

open access: yes, 2006
Objective To assess the importance of maternal intelligence, and the effect of controlling for it and other important confounders, in the link between breast feeding and children's intelligence.
Der, G.   +5 more
core   +1 more source

A Temporal-Spectral Fused and Attention-Based Deep Model for Automatic Sleep Staging

open access: yesIEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023
Sleep staging is a vital process for evaluating sleep quality and diagnosing sleep-related diseases. Most of the existing automatic sleep staging methods focus on time-domain information and often ignore the transformation relationship between sleep ...
Guidan Fu   +5 more
doaj   +1 more source

Prediction of photovoltaic power output based on similar day analysis using RBF neural network with adaptive black widow optimization algorithm and K-means clustering

open access: yesFrontiers in Energy Research, 2022
Solar photovoltaic power generation has become the focus of the world energy market. However, weak continuity and variability of solar power data severely increase grid operating pressure.
Hui Liu   +10 more
doaj   +1 more source

Exploration in Sequential Recommender Systems via Graph Representations

open access: yesIEEE Access, 2022
Temporal graph networks are powerful tools for solving the cold-start problem in sequential recommender systems. However, graph models are susceptible to feedback loops and data distribution shifts.
Dmitrii Kiselev, Ilya Makarov
doaj   +1 more source

The Relationship Between Emotional Intelligence, Previous Caring Experience and Mindfulness in Student Nurses and Midwives:A Cross Sectional Analysis [PDF]

open access: yes, 2014
BackgroundEmotional Intelligence (EI), previous caring experience and mindfulnesstraining may have a positive impact on nurse education. More evidence isneeded to support the use of these variables in nurse recruitment andretention.ObjectiveTo explore ...
Young , Jenny   +7 more
core   +1 more source

Smart Healthcare in the Age of AI: Recent Advances, Challenges, and Future Prospects

open access: yesIEEE Access, 2021
The significant increase in the number of individuals with chronic ailments (including the elderly and disabled) has dictated an urgent need for an innovative model for healthcare systems.
Mahmoud Nasr   +4 more
doaj   +1 more source

Research and application exploration of threat intelligence system of telecom operators

open access: yesDianxin kexue, 2022
With the increasing inequality of network attack and defense in the Internet era, threat intelligence has become one of the important tools to narrow this gap.Based on the analysis of the research status of threat intelligence at home and abroad, a set ...
Haitao ZHANG   +3 more
doaj  

Krigsførelsens Kredsløb – en fornuftig hypotesegenerator: En bro fra organiseret intuition til videnskabelig analyse

open access: yesScandinavian Journal of Military Studies, 2020
After a long and – from an analytical and philosophical perspective – relatively dormant existence as an analytical tool taught and used by Danish officers since the early 1960s, the Capability Cycle (the literal translation from Danish, “the Cycle, of ...
Mikkel Storm Jensen
doaj   +1 more source

Uncertainty is not sufficient for identifying noisy labels in training data for binary segmentation of building footprints

open access: yesFrontiers in Remote Sensing, 2023
Obtaining high quality labels is a major challenge for the application of deep neural networks in the remote sensing domain. A common way of acquiring labels is the usage of crowd sourcing which can provide much needed training data sets but also often ...
Hannah Ulman   +2 more
doaj   +1 more source

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