Results 141 to 150 of about 557,766 (311)

Structural Health Monitoring of a Unidirectional Isolation Bridge: Bidirectional Seismic Behavior, Stochastic Model Updating, and Prediction

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Accurate mechanical characterization of civil engineering structures after construction remains challenging due to the unique complexities of each structure, including geometric configurations, imperfect design modeling assumptions, soil conditions, and pervasive uncertainties in actual operational environments. Leveraging actual measurements,
Xinhao He, Shigeki Unjoh, Takuya Makino, Chiaki Nagao, Akira Shibasaki, Tadayuki Noro, Shinsuke Yamazaki, Hiroshi Ogami   +7 more
wiley   +1 more source

Time‐ and State‐Dependent Damage Accumulation Due to Aftershocks Under an M9.0 Megathrust Earthquake in the Cascadia Subduction Zone

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT This study develops a comprehensive framework for assessing time and state‐dependent aftershock damage accumulation under an M9.0 megathrust interface earthquake in the Cascadia Subduction Zone (CSZ). The framework integrates aftershock probabilistic seismic hazard analysis (APSHA) and state‐dependent fragility analysis (SDFA) within a ...
Hongzhou Zhang, Yazhou Xie
wiley   +1 more source

Forecasting Carbon Prices: A Literature Review

Journal of Forecasting, EarlyView.
ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis, Dimitris Christopoulos, George Tzougas   +2 more
wiley   +1 more source

Mortality Forecasting Using Variational Inference

Journal of Forecasting, EarlyView.
ABSTRACT This paper considers the problem of forecasting mortality rates. A large number of models have already been proposed for this task, but they generally have the disadvantage of either estimating the model in a two‐step process, possibly losing efficiency, or relying on methods that are cumbersome for the practitioner to use.
Patrik Andersson, Mathias Lindholm
wiley   +1 more source

A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets

Journal of Forecasting, EarlyView.
ABSTRACT This study introduces a realized volatility fuzzy time series (RV‐FTS) model that applies a fuzzy c‐means clustering algorithm to estimate time‐varying c$$ c $$ latent volatility states and their corresponding membership degrees. These memberships are used to construct a fuzzified volatility estimate as a weighted average of cluster centroids.
Shafqat Iqbal, Štefan Lyócsa
wiley   +1 more source

A Comparison of Realized Measures of Integrated Volatility: Price Duration‐ vs. Return‐Based Approaches

Journal of Forecasting, EarlyView.
ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann, Mawuli Segnon, Timo Wiedemann   +2 more
wiley   +1 more source

Analysing the Drivers of Cropland Footprint in Leading Agricultural Nations: Evidence From MMQR Approach

Geological Journal, EarlyView.
ABSTRACT Climate change represents the biggest current challenge for us and for future generations. Its impact on agriculture is undeniable, considering the food security goal. Thus, the cropland footprint has been distinguished as a comprehensive index for assessing the impact of environmental changes in agricultural areas determined by the increased ...
Ibrahim Cutcu, Magdalena Radulescu
wiley   +1 more source

Improved Smoothing for Probabilistic Suffix Trees Seen as Variable Order Markov Chains

European Conference on Machine Learning, 2002
Christopher Kermorvant, P. Dupont
semanticscholar   +1 more source

A tunable microwave absorption metamaterial inspired by moths evading bat detection

InfoMat, EarlyView.
Electromagnetic radiation in the current environment has become complex and uncontrollable due to the advancement of wireless technology. Inspired by the moth surface cilia to bend and evade bat sonar detection, our work introduces a metamaterial incorporating broadband and tunable microwave absorption properties combined with deep learning algorithms.
Yijie Liu, Weimeng Chu, Jintang Zhou, Zhenyu Cheng, Yi Yan, Yuanming Yang, Ruiyang Tan, Shiju Liu, Ping Chen, Yucheng Wang, Lvtong Duan, Yao Ma, Xiangshuai Song, Zhengjun Yao   +13 more
wiley   +1 more source

Realistic Representation, Dynamic Evolution and Determinants of Institutional Quality in China

International Studies of Economics, EarlyView.
ABSTRACT The paper delves into the role of institutional quality in bolstering China's economic resilience post‐COVID‐19, CITIC‐Entropy. It divides institutions into basic and changeable categories, establishing an index system via the CITIC‐Entropy TOPSIS model.
Susu Wang, Qidi Zhang, Jing Fang
wiley   +1 more source