Results 111 to 120 of about 42,989 (212)

Association of Regional Agricultural Smoke Exposure With Sociodemographic Factors in Rural and Urban Communities

open access: yesGeoHealth, Volume 10, Issue 1, January 2026.
Abstract Ambient air pollution remains a leading environmental risk factor for morbidity and mortality in the U.S, though most research is conducted in urban areas. Our study assessed how sociodemographic factors indicative of social vulnerability were associated with smoke from agricultural burns in Florida.
K. D. Slater   +13 more
wiley   +1 more source

A Machine Learning‐Based Dynamic SST Index for Long‐Lead Malaria Prediction in the Peruvian Amazon

open access: yesGeoHealth, Volume 10, Issue 1, January 2026.
Abstract Malaria imposes a major health burden in the Peruvian Amazon, and its early warning is essential for effective disease prevention. The tropical sea surface temperature (SST) variability, fundamentally shaping the global weather patterns, may also alter malaria transmission and potentially improve its long‐lead predictability. In this study, we
Mengxin Pan   +7 more
wiley   +1 more source

A Cascade‐Like Energy Dissipation Mechanism Behind the Gradual Achievement of River Equilibrium Sinuosity

open access: yesWater Resources Research, Volume 62, Issue 1, January 2026.
Abstract The prediction of river planimetric evolution and related interactions with anthropic activities and public safety is one of the most critical aspects in the planning of a sustainable land‐use. Since the beginning of the past century, a large number of theoretical and experimental studies have focused on the investigation of river meandering ...
M. Pannone
wiley   +1 more source

XGBoost–LSTM Regional Traffic Congestion Ratio Prediction Integrating Spatio‐Temporal and Weather Features

open access: yesIET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This paper proposes an eXtreme gradient boosting tree (XGBoost)–long short‐term memory (LSTM) fusion model using traffic big data, integrating temporal, meteorological, and spatial features. First, the XGBoost models historical congestion ratios and associated features for each region, generating preliminary predictions and extracting regional residual
Bohang Liu   +4 more
wiley   +1 more source

Radar Emitter Identification Based on Typical Parameter Sequence: HBNP Clustering, Hierarchical Denoising and LSTM Classification

open access: yesIET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
To address “high‐density interference” and “multi‐mode parameter agility” in Radar Emitter Identification (REI), as well as existing models' flaws (pulse sequence models' weak anti‐noise ability, statistical feature models' multi‐mode confusion), this paper proposes a TPS‐based REI method–constructing a three‐level signal model and PRI probability ...
Chen‐Qian Zhao   +2 more
wiley   +1 more source

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