Results 11 to 20 of about 8,223,685 (372)
Attending Weak Signals: The Prevention of Work-related Illnesses
Nordic Journal of Working Life Studies, 2017 This article examines the characteristics of communication among managers, human resource (HR) experts, and occupational health care specialists, as they deal with such informal information as weak signals in the prevention of work-related illnesses ...
Roy Liff +2 more
doaj +2 more sources
European Journal of Futures Research, 2017 Weak signals and wild cards are used to scan the environment and make systems more sensitive to emerging changes. In this paper, the applicability of weak signals and wild cards is experimented in a case of a highly reliable and conservative sector ...
Annina Takala, Ossi Heino
doaj +2 more sources
A Noise Attenuation Method for Weak Seismic Signals Based on Compressed Sensing and CEEMD
IEEE Access, 2020 The exploration of deep and subtle oil and gas reservoirs is currently an important means of increasing production in older oil fields. How to effectively identify weak signals with noise is a common problem faced in such reservoirs.
Miaomiao Sun +5 more
doaj +2 more sources
Identifying Weak Signals in Inhomogeneous Neuronal Images for Large-Scale Tracing of Sparsely Distributed Neurites. [PDF]
Neuroinformatics, 2019 Tracing neurites constitutes the core of neuronal morphology reconstruction, a key step toward neuronal circuit mapping. Modern optical-imaging techniques allow observation of nearly complete mouse neuron morphologies across brain regions or even the ...
Li S +8 more
europepmc +2 more sources
Weak signals in high-dimension regression: detection, estimation and prediction. [PDF]
Appl Stoch Models Bus Ind, 2019 Li Y, Hong HG, Ahmed SE, Li Y.
europepmc +2 more sources
Overinference from Weak Signals and Underinference from Strong Signals [PDF]
Social Science Research Network, 2021 When people receive new information, sometimes they revise their beliefs too much, and sometimes too little. In this paper, we show that a key driver of whether people overinfer or underinfer is the strength of the information.
Ned Augenblick +2 more
semanticscholar +1 more source
Informative Bayesian Neural Network Priors for Weak Signals [PDF]
Bayesian Analysis, 2020 Encoding domain knowledge into the prior over the high-dimensional weight space of a neural network is challenging but essential in applications with limited data and weak signals.
Tianyu Cui +3 more
semanticscholar +1 more source
Exploring Weak Signals to Design and Prototype for Emergent Futures
Temes de Disseny, 2020 While technology and design have progressed greatly, they have also produced imbalances that affect the way we live and work. Additionally, they have also contributed to the use of the planet’s resources to fill our homes with unnecessary devices ...
Tomas Diez +2 more
doaj +3 more sources
Relation between performance of organization and its structure during sudden and smoldering crises [PDF]
Компьютерные исследования и моделирование, 2016 The article describes a mathematical model that simulates performance of a hierarchical organization during an early stage of a crisis. A distinguished feature of this stage of crisis is presence of so called early warning signals containing information ...
Egor Andreevich Burlakov
doaj +1 more source
IEEE Access, 2023 Although the ethics of cybersecurity might seem to be simple, the matter can be surprisingly complicated. This paper discusses the results of an extensive study aimed at uncovering the anticipated, emerging ethical issues related to cybersecurity. First,
Aleksandra Pawlicka +3 more
doaj +1 more source