Results 51 to 60 of about 1,522,294 (308)
Energies, 2022 This paper presents the results of a comparative analysis of Convolutional Neural Network (CNN) and Support Vector Machine (SVM) models created for the prediction of the extent and intensity of damage caused to multi-storey reinforced concrete (RC ...
Adrian Jędrzejczyk +2 more
doaj +1 more source
Low power wireless sensor network for building monitoring [PDF]
, 2011 A wireless sensor network is proposed for monitoring buildings to assess earthquake damage. The sensor nodes use custom-developed capacitive MEMS strain and 3D acceleration sensors and a low power readout ASIC for a battery life of up to 12 years.
Bertsch, Nicolas +11 more
core +1 more source
Earthquake Hazard Safety Assessment of Existing Buildings Using Optimized Multi-Layer Perceptron Neural Network [PDF]
, 2020 The latest earthquakes have proven that several existing buildings, particularly in developing countries, are not secured from damages of earthquake.
Harirchian, Ehsan +2 more
core
A review of progressive collapse research and regulations [PDF]
, 2014 History has demonstrated that buildings designed to conventional design codes can lack the robustness necessary to withstand localised damage, partial or even complete collapse. This variable performance has led governmental organisations to seek ways of
Byfield, M.P. +3 more
core +1 more source
Structural biology of ferritin nanocages
FEBS Letters, EarlyView.Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley +1 more source
Remote sensing‐based mapping of structural building damage in the Ahr valley
Journal of Flood Risk ManagementFlood damage data are needed for various applications. Structural damage of buildings can reflect not only the economic damage but also the life‐threatening condition of a building, which provide crucial information for disaster response and recovery ...
Guilherme Samprogna Mohor +6 more
doaj +1 more source
Using Artificial Neural Network Models to Assess Hurricane Damage through Transfer Learning
Applied Sciences, 2022 Coastal hazard events such as hurricanes pose a significant threat to coastal communities. Disaster relief is essential to mitigating damage from these catastrophes; therefore, accurate and efficient damage assessment is key to evaluating the extent of ...
Landon Calton, Zhangping Wei
doaj +1 more source
Post-War Building Damage Detection [PDF]
The 2nd International Electronic Conference on Remote Sensing, 2018 Natural disasters and wars wreak havoc not only on individuals and critical infrastructure, but also leave behind ruined residential buildings and housings. The size, type and location of damaged houses are essential data sources for the post-disaster reconstruction process.
Ali Ghandour, Abedelkarim Jezzini
openaire +1 more source
Tau acetylation at K331 has limited impact on tau pathology in vivo
FEBS Letters, EarlyView.We mapped tau post‐translational modifications in humanized MAPT knock‐in mice and in amyloid‐bearing double knock‐in mice. Acetylation within the repeat domain, particularly around K331, showed modest increases under amyloid pathology. To test functional relevance, we generated MAPTK331Q knock‐in mice.
Shoko Hashimoto +3 more
wiley +1 more source
JOIV: International Journal on Informatics VisualizationIndonesia is susceptible to natural disasters, with its geographical location being one of the contributing factors. To mitigate the harmful effects of natural catastrophes, a disaster emergency response must be undertaken, consisting of steps taken ...
Agung Teguh Wibowo Almais +5 more
doaj +1 more source