Results 141 to 150 of about 31,221,148 (284)

Causal Linkages Between Forestation, Health Issues, and Sustainability Dimensions in the United States and China: A Climate Resilience Perspective

Land Degradation &Development, EarlyView.
ABSTRACT Growing environmental pressures and climate‐related risks have intensified concerns regarding population health and sustainability. This study explores how the predictive relationship between public health and key sustainability indicators, such as agricultural emissions, forests, governance, digitalization, green energy, and climate outcomes,
Jiyang Cheng, László Vasa, Wolanin Elżbieta, U. Shahzad, Ummara Razi   +4 more
wiley   +1 more source

From Ashes to Action: Economic Growth, Ecological Footprint, and Forest Fire Resilience in Advanced and Emerging Economies

Land Degradation &Development, EarlyView.
ABSTRACT Forest fires have escalated alarmingly, now consuming more than double the tree cover compared to two decades ago, signaling a growing and urgent environmental crisis. This study addresses the ever increasing global concern of forest fires, focusing on sustainable economic recovery while minimizing the ecological footprint amid mounting ...
Laxita Soontha, Mohammad Younus Bhat, Arfat Ahmad Sofi   +2 more
wiley   +1 more source

A Review of Solving Non-IID Data in Federated Learning: Current Status and Future Directions

Federated learning (FL), as a machine learning framework, has garnered substantial attention from researchers in recent years. FL makes it possible to train a global model through coordination by a central server while ensuring the privacy of data on ...
Xiulai Li (20258019), Ji He (40669), Wenhai Lu (12750431), Jieren Cheng (20258016)   +3 more
core   +1 more source

Chromatic PAC-Bayes Bounds for Non-IID Data.

, 2009
Pac-Bayes bounds are among the most accurate generalization bounds for classifiers learned with \iid data, and it is particularly so for margin classifiers. However, there are many practical cases where the training data show some dependencies and where the traditional \iid assumption does not apply.
Ralaivola, Liva, Szafranski, Marie, Stempfel, Guillaume   +2 more
openaire   +2 more sources

Non-IID latent variable models [PDF]

, 2019
University of Technology Sydney. Faculty of Engineering and Information Technology.Latent Variable Model (LVM) is the statistical model that aims to uncover hidden information behind data.
Do, Trong Dinh Thac
core   +1 more source

Energy Options to Reduce Deforestation Using EKC Model: A Region‐Based Longitudinal Approach

Land Degradation &Development, EarlyView.
ABSTRACT Forests are carbon storage that can reduce carbon emissions, so deforestation (decrease in forest area) is a serious threat to environmental sustainability. Indonesia is a large carbon sink due to its large forests. However, deforestation is quite high due to economic activities that use fossil energy.
Krismanti Tri Wahyuni, Agung Purwanto, Bagus Sumargo, Robert Kurniawan   +3 more
wiley   +1 more source

Evaluation of Remotely Sensed Inundation Data Sets to Estimate Flood‐Associated Emergency Department Visits After Hurricane Harvey

GeoHealth
Floods can increase the risk of adverse health outcomes through multiple pathways, including contamination of food and water. Remotely sensed (RS) inundation extents can help identify regions with expected heightened flood‐related health risks, but ...
Balaji Ramesh, Julia M. Gohlke, Benjamin Zaitchik, Ayaz Hyder, Jeffrey J. Wing, Gia Barboza‐Salerno, Samarth Swarup   +6 more
doaj   +1 more source

Extending the hyper‐logistic model to the random setting: New theoretical results with real‐world applications

Mathematical Methods in the Applied Sciences, EarlyView.
We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés, Ana Navarro‐Quiles, Sorina Madalina Sferle   +2 more
wiley   +1 more source

Fast Reconstruction of Motion‐Corrupted Data With Mobile‐GRAPPA: Motion and δB0$$ \delta {B}_0 $$ Inhomogeneity Correction Leveraging Efficient GRAPPA

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop an accurate and computationally efficient motion‐corrected MRI reconstruction framework that incorporates hundreds to thousands of motion and δB0$$ \delta {B}_0 $$ estimates from high‐temporal‐resolution tracking. Methods We propose Mobile‐GRAPPA, a k‐space preprocessing approach that uses MLP‐parameterized local GRAPPA ...
Yimeng Lin, Nan Wang, Daniel Abraham, Daniel Polak, Xiaozhi Cao, Aizada Nurdinova, Stephen Cauley, Kawin Setsompop   +7 more
wiley   +1 more source

Stochastic Model Predictive Control Using Indirect Feedback With a Modified Terminal Constraint

Optimal Control Applications and Methods, EarlyView.
This paper proposes a novel dynamic terminal set approach for the model predictive control (MPC) design. It concerns the class of linear systems subject to stochastic disturbances and builds upon an indirect feedback (IF) strategy. The main contribution is to explore the time‐varying definition of the constraints in the indirect feedback SMPC (IF‐SMPC)
Tito L. M. Santos, Sorin Olaru
wiley   +1 more source