Results 91 to 100 of about 86,158 (257)

Modeling the Probability of Tsunami Fire Ignition Based on Data From the 2011 Tohoku and 2024 Noto Peninsula Earthquakes, With Recommendations to Reduce Emerging Fire Risk in Tsunami Vertical Evacuation Structures

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Recent tsunamigenic earthquakes in Japan have highlighted the emerging fire hazard triggered by tsunami inundation and its impact on tsunami vertical evacuation (TVE) structures. This new type of fire following earthquake, referred to as “tsunami fires,” may be a potential universal hazard that tsunami‐prone countries face; however, it has not
Tomoaki Nishino
wiley   +1 more source

Machine Learning in Slope Stability: A Review with Implications for Landslide Hazard Assessment

GeoHazards
Slope failures represent one of the most serious geotechnical hazards, which can have severe consequences for personnel, equipment, infrastructure, and other aspects of a mining operation.
Miguel Trinidad, Moe Momayez
doaj   +1 more source

Bi‐Level Coordination of Demand Response and Multiple Virtual Power Plants in a Distribution Network for Flexibility Assessment

Energy Science &Engineering, EarlyView.
This study presents a hierarchical coordination framework where multiple VPPs interact with the DSO to optimize energy trades and flexibility offers. Each VPP aggregates DERs and DR, performing internal optimization, day‐ahead bidding, and assessing flexibility to reduce excess renewable generation and pollution.
Alireza Zare, Mohammad Agha Shafiyi, Mehrdad Setayesh Nazar, Miadreza Shafie‐khah, Pierluigi Siano   +4 more
wiley   +1 more source

Mixed Integer Linear Programming For Exact Finite-Horizon Planning In Decentralized Pomdps [PDF]

, 2007
We consider the problem of finding an n-agent joint-policy for the optimal finite-horizon control of a decentralized Pomdp (Dec-Pomdp). This is a problem of very high complexity (NEXP-hard in n >= 2).
Aras, Raghav, Charpillet, François, Dutech, Alain   +2 more
core   +3 more sources

Quantization of Binary-Input Discrete Memoryless Channels

, 2014
The quantization of the output of a binary-input discrete memoryless channel to a smaller number of levels is considered. An algorithm which finds an optimal quantizer, in the sense of maximizing mutual information between the channel input and the ...
Kurkoski, Brian M., Yagi, Hideki
core   +1 more source

Experimental Analysis of Fire Behavior in Pine Forests and Agricultural Fields: Large‐Scale Tests Conducted Within the European TREEADS Project

Fire and Materials, EarlyView.
ABSTRACT Two large‐scale experiments investigated fire spread mechanisms in vegetation ground fires in a pine forest and an agricultural field within the European TREEADS project. The tests, conducted in Saxony‐Anhalt and Brandenburg, targeted regions with dry, sandy soils and extensive pine stands and aim to improve suppression strategies and wildfire
Andrea Klippel, Anja Hofmann‐Böllinghaus, Kira Piechnik, Lukas Heydick, Hongyi Wu, Florian Köhler, Benjamin Klaffke   +6 more
wiley   +1 more source

Potential for use of Al/machine learning for pharmacovigilance: Is there a role for regulators?

British Journal of Clinical Pharmacology, EarlyView.
Christina Gao, Ashley M. Hopkins, Andrew Rowland, Stephen Bacchi   +3 more
wiley   +1 more source

Scaling‐Aware Rating of Poisson‐Limited Demand Forecasts

Journal of Forecasting, EarlyView.
ABSTRACT Forecast quality should be assessed in the context of what is possible in theory and what is reasonable to expect in practice. Often, one can identify an approximate upper bound to a probabilistic forecast's sharpness, which sets a lower, not necessarily achievable, limit to error metrics.
Malte C. Tichy, Illia Babounikau, Nikolas Wolke, Stefan Ulbrich, Michael Feindt   +4 more
wiley   +1 more source

A multimodal approach for depression detection using semi-automatic data annotation and deterministic machine learning methods

Научно-технический вестник информационных технологий, механики и оптики
A trending task of automatic psycho-emotional human state detection was studied in this work. A scientific interest to researches devoted to the automatic multimodal depression detection can arise out of the widespread of anxiety-depressive disorders and
A. N. Velichko, A. A. Karpov
doaj   +1 more source

Evolutionary multi-stage financial scenario tree generation

, 2010
Multi-stage financial decision optimization under uncertainty depends on a careful numerical approximation of the underlying stochastic process, which describes the future returns of the selected assets or asset categories.
A. Brabazon, A. Eichhorn, C. Blum, G.C. Pflug, H. Heitsch, H.M. Markowitz, J. Dang, J. Dupačová, K. Høyland, M. Koivu, M.C. Steinbach, P. Artzner, R. Hochreiter, R. Hochreiter, S.T. Rachev, T. Pennanen, T. Pennanen   +16 more
core   +1 more source