Results 41 to 50 of about 23,472 (239)

On the nonstationarity of the decadal periodicities of the length of day [PDF]

Nonlinear Processes in Geophysics, 2013
Abstract. The Earth's rotation rate is not constant, but changes on all observable timescales, from subdaily to decadal and longer. These variations are usually discussed in terms of variations in the length of the day (LoD) and are caused by processes acting within the interior, at the surface and outside of the Earth.
P. De Michelis, R. Tozzi, G. Consolini
openaire   +4 more sources

Skillful Decadal Flood Prediction

Geophysical Research Letters, 2023
Accurate long‐term flood predictions are increasingly needed for flood risk management in a changing climate, but are hindered by the underestimation of climate variability by climate models. Here, we drive a statistical flood model with a large ensemble
S. Moulds, L. J. Slater, N. J. Dunstone, D. M. Smith   +3 more
doaj   +1 more source

Is It Possible to Predict Strong Earthquakes?

, 2014
The possibility of earthquake prediction is one of the key open questions in modern geophysics. We propose an approach based on the analysis of common short-term candidate precursors (2 weeks to 3 months prior to strong earthquake) with the subsequent ...
Polyakov, Yuriy S., Ryabinin, Gennadiy V., Solovyeva, Anna B., Timashev, Serge F.   +3 more
core   +1 more source

Diffusion geometry approach to efficiently remove electrical stimulation artifacts in intracranial electroencephalography [PDF]

, 2018
Cortical oscillations, electrophysiological activity patterns, associated with cognitive functions and impaired in many psychiatric disorders can be observed in intracranial electroencephalography (iEEG).
Alagapan, Sankaraleengam, Frohlich, Flavio, Shin, Hae Won, Wu, Hau-tieng   +3 more
core   +3 more sources

Nonstationarity in Flood Time Series

Journal of Hydrologic Engineering, 2014
AbstractFlood hazard and arising risks due to associated vulnerabilities still appear to be among the common problems in today’s hydrology in spite of highly motivated assessments and increasing knowledge and awareness as well as targeted measures for mitigation, preparedness, and emergency management.
Gul, Gulay Onusluel, Asikoglu, Omer Levend, Gul, Ali, Yasoglu, F. Gulcem, Benzeden, Ertugrul   +4 more
openaire   +4 more sources

Bayesian Optimization Guiding the Experimental Mapping of the Pareto Front of Mechanical and Flame‐Retardant Properties in Polyamide Nanocomposites

Advanced Intelligent Discovery, EarlyView.
Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir, Miguel Hernández‐del‐Valle, Christina Schenk, De‐Yi Wang, Maciej Haranczyk   +4 more
wiley   +1 more source

An Iterative PSD-Based Procedure for the Gaussian Stochastic Earthquake Model with Combined Intensity and Frequency Nonstationarities: Its Application into Precast Concrete Structures

Mathematics, 2023
Earthquakes cause severe damage to human beings and financial development, and they are commonly associated with a lot of uncertainties and stochastic factors regarding their frequency, intensity and duration. Thus, how to accurately select an earthquake
Xu-Yang Cao
doaj   +1 more source

Dephasing due to nonstationary 1/f noise [PDF]

, 2004
Motivated by recent experiments with Josephson qubits we propose a new phenomenological model for 1/f noise due to collective excitations of interacting defects in the qubit's environment.
Carpentier, D., Clusel, M., Degiovanni, P., Makhlin, Yu., Schriefl, J.   +4 more
core   +5 more sources

Electroencephalogram‐Driven Recognition of Parkinson's Disease Through a Mycelium‐Inspired Memristive Reservoir Computing Circuit

Advanced Intelligent Systems, EarlyView.
This work presents a bio‐inspired computing framework for Parkinson's disease analog recognition using electroencephalogram signals. Temporally encoded EEG features stimulate a mycelium‐inspired memristive reservoir, where disease‐related patterns emerge through physical spatiotemporal dynamics.
Ioannis K. Chatzipaschalis, Ioannis Tompris, Pantelis Fraidakis, Iosif‐Angelos Fyrigos, Antonio Rubio, Georgios Ch. Sirakoulis   +5 more
wiley   +1 more source

Improved Correction of Extreme Precipitation Through Explicit and Continuous Nonstationarity Treatment and the Metastatistical Approach

Water Resources Research
Climate models simulate extreme precipitation under nonstationarity due to continuous climate change. However, systematic errors in local‐scale climate projections are often corrected using stationary or quasi‐stationary methods without explicit and ...
Cuauhtémoc Tonatiuh Vidrio‐Sahagún, Jianxun He, Alain Pietroniro   +2 more
doaj   +1 more source