Results 1 to 10 of about 13,293,967 (299)

Information Value-Based Fault Diagnosis of Train Door System under Multiple Operating Conditions [PDF]

Sensors, 2020
While there are many data-driven diagnosis algorithms for fault isolation of complex systems, a new challenge arises in the case of multiple operating regimes.
Seokgoo Kim, Nam Ho Kim, Joo-Ho Choi
doaj   +2 more sources

Information Value in Weed Management [PDF]

Northeastern Journal of Agricultural and Resource Economics, 1990
Use of the economic threshold to improve the efficiency of preemergent-herbicide treatment decisions is limited by a lack of weed information. An economic model for assessing the expected value of weed information needed to implement a threshold decision rule is developed.
Allen, P Geoffrey, Gillmeister, William J, Moffitt, Joe L, Morzuch, Bernard J   +3 more
openaire   +3 more sources

BePLi Dataset v1: Beach Plastic Litter Dataset version 1 for instance segmentation of beach plastic litter

Data in Brief, 2023
Marine plastic pollution is a pressing global issue nowadays. To address this problem, automated image analysis techniques that can identify plastic litter are necessary for scientific research and coastal management purposes.
Mitsuko Hidaka, Koshiro Murakami, Kenta Koshidawa, Shintaro Kawahara, Daisuke Sugiyama, Shin'ichiro Kako, Daisuke Matsuoka   +6 more
doaj   +1 more source

Skillful Multiyear Prediction of the Kuroshio and Gulf Stream Jets and Eddy Activity

Geophysical Research Letters, 2023
The Kuroshio and Gulf Stream (GS), Northern Hemisphere warm ocean currents, have narrow bands of intense jets and vigorous eddies. While the importance of them in regulating physical and biological ocean systems and climate has been increasingly ...
Shoichiro Kido, Masami Nonaka, Yasumasa Miyazawa   +2 more
doaj   +1 more source

Predicting extreme floods and droughts in East Africa using a deep learning approach

npj Climate and Atmospheric Science, 2023
The East African region is highly susceptible to severe floods and persistent droughts, which greatly impact the livelihood of millions of people. Early warnings, at least a few seasons in advance, would help implement mitigation measures.
Kalpesh Ravindra Patil, Takeshi Doi, Swadhin K. Behera   +2 more
doaj   +1 more source

Application of deep learning-based neural networks using theoretical seismograms as training data for locating earthquakes in the Hakone volcanic region, Japan

Earth, Planets and Space, 2021
In the present study, we propose a new approach for determining earthquake hypocentral parameters. This approach integrates computed theoretical seismograms and deep machine learning.
Daisuke Sugiyama, Seiji Tsuboi, Yohei Yukutake   +2 more
doaj   +1 more source

Evaluation of geohazard susceptibility based on information value model and information value-logistic regression model: A case study of the central mountainous area of Hainan Island

Dizhi lixue xuebao, 2022
As the basis of geohazard risk evaluation, the geohazard susceptibility evaluation can objectively and accurately reflect the probability of geological hazard occurrence by using quantitative mathematical statistics.
LI Xin, XUE Guicheng, LIU Changzhu, XIA Nan, YANG Yongpeng, YANG Feng, WANG Xiaolin, CHANG Zhenyu   +7 more
doaj   +1 more source

Integrating Multivariate (GeoDetector) and Bivariate (IV) Statistics for Hybrid Landslide Susceptibility Modeling: A Case of the Vicinity of Pinios Artificial Lake, Ilia, Greece

Land, 2021
Over the last few years, landslides have occurred more and more frequently worldwide, causing severe effects on both natural and human environments. Given that landslide susceptibility (LS) assessments and mapping can spatially determine the potential ...
Christos Polykretis, Manolis G. Grillakis, Athanasios V. Argyriou, Nikos Papadopoulos, Dimitrios D. Alexakis   +4 more
doaj   +1 more source

Value of Persistent Information [PDF]

Econometrica, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pęski, Marcin, Toikka, Juuso
openaire   +1 more source

Rockfall Vulnerability of a Rural Road Network—A Methodological Approach in the Harz Mountains, Germany

Geosciences, 2022
Mass movements are linked to increasing amounts of damage and disruptions to transportation infrastructures. A valid risk assessment in order to reduce future costs is not always appropriate, as adequate information on landslide data is missing.
Annika Wohlers, Bodo Damm
doaj   +1 more source