Results 71 to 80 of about 1,185,792 (236)

A Categorical Machine Learning Approach to Predicting Areas of Shallow Coastal Groundwater

Groundwater, EarlyView.
Abstract Coastal lowlands are increasingly vulnerable to threats from sea‐level and associated groundwater rise. This study introduces a categorical modeling framework that redefines groundwater depth estimation as a classification problem rather than a continuous prediction task. By dividing groundwater occurrence into multiple depth thresholds (0.9–2.
Patrick Durney, Matt Dumont, Christo Rautenbach   +2 more
wiley   +1 more source

Multi‐objective maritime vessel routing with safety considerations

International Transactions in Operational Research, EarlyView.
Abstract The routing of maritime vessels is a challenging optimization problem that involves finding an adequate balance between conflicting and multiple objectives. This paper proposes a methodology based on inverse optimization to find appropriate objective weights that account for conflicting objectives. To formulate the inverse optimization problem,
Nazanin Sharif, Mikael Rönnqvist, Jean‐François Cordeau, Jean‐François Audy, Gurjeet Warya   +4 more
wiley   +1 more source

Central Banks’ Support for Climate Action: A Literature Review and Key Issues

Journal of Economic Surveys, EarlyView.
ABSTRACT This comprehensive literature review examines the role of central banks in supporting climate actions. It explores the reasons why central banks should be concerned about climate change, the policy instruments available to them, the challenges they face in integrating climate considerations into their mandates and operations, and the ...
Iegor Vyshnevskyi, Wook Sohn
wiley   +1 more source

Adaptive Estimation for Weakly Dependent Functional Times Series

Journal of Time Series Analysis, EarlyView.
ABSTRACT We propose adaptive mean and autocovariance function estimators for stationary functional time series under 𝕃p−m‐approximability assumptions. These estimators are designed to adapt to the regularity of the curves and to accommodate both sparse and dense data designs.
Hassan Maissoro, Valentin Patilea, Myriam Vimond   +2 more
wiley   +1 more source

A Note on Local Polynomial Regression for Time Series in Banach Spaces

Journal of Time Series Analysis, EarlyView.
ABSTRACT This work extends local polynomial regression to Banach space‐valued time series for estimating smoothly varying means and their derivatives in non‐stationary data. The asymptotic properties of both the standard and bias‐reduced Jackknife estimators are analyzed under mild moment conditions, establishing their convergence rates.
Florian Heinrichs
wiley   +1 more source

Integrated dataset of deformation measurements in fractured volcanic tuff and meteorological data (Coroglio coastal cliff, Naples, Italy)

, 2019
Fabio Matano, Mauro Caccavale, Giuseppe Esposito, Alberto Fortelli, Germana Scepi, Maria Spano, Marco Sacchi   +6 more
openalex   +1 more source

Model pluralism for logic

Noûs, EarlyView.
Abstract It is well‐recognized in the sciences that a multitude of nonequivalent models are used by researchers to fulfill a range of goals, even for the same target system, a result known broadly as model pluralism. The possibility of the same form of pluralism occurring in logic, however, has not been adequately considered.
Ben Martin
wiley   +1 more source

Dual Polarimetric Radar Vegetation Index for monitoring forest moisture stress using time series of Sentinel‐1 SAR data

Plant Biology, EarlyView.
This study demonstrates the potential of the Sentinel‐1 Dual Polarimetric Radar Vegetation Index, combined with climate variables and the Standardized Precipitation–Evapotranspiration Index, to effectively detect and monitor drought‐induced stress in temperate broadleaf deciduous forests.
B. Ranjit, W. Bijker, H. Aghababaei, A. Stein   +3 more
wiley   +1 more source

Setting a Comprehensive Bow‐Tie Framework for Disaster Risk Analysis of Mine Tailings Storage Facilities

Risk Analysis, EarlyView.
ABSTRACT Disasters caused by tailings storage facilities (TSFs) have highlighted the complexity of safely managing mine tailings and the extension of consequences over time and throughout the tailings runoff. Investigations commissioned by mining companies following major failures in Mariana and Brumadinho, Brazil, primarily focused on immediate ...
Rafaela Shinobe Massignan, Juliana Siqueira‐Gay, Luis Enrique Sánchez   +2 more
wiley   +1 more source

Microbial mats in dinosaur ichnocoenoses

Sedimentology, EarlyView.
ABSTRACT Until now, the significance of microbial mats in preservation of dinosaur tracks and in reconstructing the palaeoenvironment in which dinosaurs roamed was rarely studied. Dinosaur tracks are commonly found close to ancient aquatic bodies where moist sediment had once allowed footstep registration.
Nora Noffke, Paul C. Murphey, Roger C. Buntin, Martin G. Lockley   +3 more
wiley   +1 more source