Results 161 to 170 of about 3,492,245 (278)
The gains from machine learning in nowcasting and forecasting food insecurity are still small and limited and cannot be observed in all countries. This review summarizes the public resources for data, corrects common misconceptions about model requirements, and establishes baseline requirements, explanations, causal inference, and equity in operational
Shabnam Mehboob +4 more
wiley +1 more source
Forecasting of PM<sub>2.5</sub> concentration based on variational mode decomposition and deep learning. [PDF]
Cheng Y, Zhang C.
europepmc +1 more source
Restoration reseeding of degraded alpine meadows increased aboveground vegetation but was associated with short‐term topsoil carbon loss, coinciding with a microbial strategy shift from resident carbon‐preserving to carbon‐spending bacterial guilds. Abstract Background Restoration of degraded ecosystems is widely promoted as a nature‐based solution ...
Long‐Tao Zhu +9 more
wiley +1 more source
Joint MVMD-based optimal feature selection and FW-LS-TWSVM for motor imagery recognition. [PDF]
Zhi J +7 more
europepmc +1 more source
From Physiology to Bioheat Simulation: A Data‐Driven Framework for Core Temperature Initialization
ABSTRACT Accurate initialization of core body temperature is a critical yet often overlooked component of bioheat transfer models, particularly when such models are applied to heterogeneous populations and real‐world environmental conditions. Conventional bioheat simulations typically rely on fixed or idealized core body temperature values derived from
David S. Rodríguez +6 more
wiley +1 more source
Federated spatial-temporal traffic forecasting with VMD-enhanced graph attention and LSTM. [PDF]
Mundada T, Ramdhave S, Jain S, Gupta S.
europepmc +1 more source
Abstract This paper examines the link between climate risk, energy consumption, and financial market performance in a sample of emerging countries over the period 2000–2024. The objective is to model the dynamic interactions between these three dimensions, in order to understand the extent to which energy dependence and exposure to climate risks ...
Abdelkader Mohamed Derbali
wiley +1 more source
A Mathematical Theory of Phase-Consistent Information Bottleneck for Cross-Domain Generalization. [PDF]
Liu F, Wang Z.
europepmc +1 more source
Identifying Peer Effects in Networks with Unobserved Effort and Isolated Students
ABSTRACT Peer influence on effort devoted to some activity is often studied when effort is unobserved, and the researcher instead observes an outcome that combines effort with other shocks. For instance, in education, achievement measures such as GPA reflect both effort and idiosyncratic GPA shocks.
Aristide Houndetoungan +2 more
wiley +1 more source
Multi-domain feature fusion with variational mode decomposition and hybrid LightGBM-Logistic Regression for multi-class seizure classification. [PDF]
Arshath AA, Karthikeyan D.
europepmc +1 more source

