Results 21 to 30 of about 2,715,425 (309)

Automated terrestrial laser scanning with near-real-time change detection – monitoring of the Séchilienne landslide [PDF]

open access: yesEarth Surface Dynamics, 2017
We present an automated terrestrial laser scanning (ATLS) system with automatic near-real-time change detection processing. The ATLS system was tested on the Séchilienne landslide in France for a 6-week period with data collected at 30 min intervals ...
R. A. Kromer   +10 more
doaj   +1 more source

Research on Construction Risk Management of Underground Engineering Based on AHP-Fuzzy Comprehensive Evaluation Method [PDF]

open access: yesE3S Web of Conferences, 2021
In order to strengthen the construction risk management of underground engineering projects, reduce the probability of accidents, and ensure that the underground engineering completes the construction tasks on schedule, the article relies on a certain ...
Han Zhichao, Zhu Jun, Wang Jianduo
doaj   +1 more source

Comparing Flow-R, Rockyfor3D and RAMMS to Rockfalls from the Mel de la Niva Mountain: A Benchmarking Exercise

open access: yesGeosciences, 2023
Rockfall simulations are often performed at various levels of detail depending on the required safety margins of rockfall-hazard-related assessments. As a pseudo benchmark, the simulation results from different models can be put side-by-side and compared
François Noël   +6 more
doaj   +1 more source

A multi-stage heuristic method for service caching and task offloading to improve the cooperation between edge and cloud computing [PDF]

open access: yesPeerJ Computer Science, 2022
Edge-cloud computing has attracted increasing attention recently due to its efficiency on providing services for not only delay-sensitive applications but also resource-intensive requests, by combining low-latency edge resources and abundant cloud ...
Xiaoqian Chen   +5 more
doaj   +2 more sources

Engineering Economics: Scientometric Analysis of the Subject Area [PDF]

open access: yesSustainable Development and Engineering Economics, 2022
Engineering economics is located at the intersection of the science of economics and engineering practice, which means it attracts the attention of both fields.
Tatiana Kudryavtseva   +3 more
doaj   +1 more source

Fuzzy cognitive maps in systems risk analysis: a comprehensive review

open access: yesComplex & Intelligent Systems, 2020
Fuzzy cognitive maps (FCMs) have been widely applied to analyze complex, causal-based systems in terms of modeling, decision making, analysis, prediction, classification, etc. This study reviews the applications and trends of FCMs in the field of systems
E. Bakhtavar   +4 more
semanticscholar   +1 more source

Quantifying the effectiveness of early warning systems for natural hazards [PDF]

open access: yesNatural Hazards and Earth System Sciences, 2016
Early warning systems (EWSs) are increasingly applied as preventive measures within an integrated risk management approach for natural hazards. At present, common standards and detailed guidelines for the evaluation of their effectiveness are lacking. To
M. Sättele, M. Bründl, D. Straub
doaj   +1 more source

Real-Time Characterization of Finite Rupture and Its Implication for Earthquake Early Warning: Application of FinDer to Existing and Planned Stations in Southwest China

open access: yesFrontiers in Earth Science, 2021
Earthquake early warning (EEW) not only improves resilience against the risk of earthquake disasters, but also provides new insights into seismological processes.
Jiawei Li   +4 more
doaj   +1 more source

Machine Learning for Long COVID Inference Based on the Acute Phase: A Case Study in Healthcare Professionals

open access: yesIEEE Access
Since 2021, the COVID-19 pandemic has affected global health, economies, and societal structures, leading to great attention to new research and awareness.
Caio B. S. Maior   +4 more
doaj   +1 more source

An investigation of belief-free DRL and MCTS for inspection and maintenance planning

open access: yesJournal of Infrastructure Preservation and Resilience
We propose a novel Deep Reinforcement Learning (DRL) architecture for sequential decision processes under uncertainty, as encountered in inspection and maintenance (I &M) planning.
Daniel Koutas   +2 more
doaj   +1 more source

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