NLOS Identification and Mitigation for Geolocation Using Least-Squares Support Vector Machines [PDF]
, 2017 Benny Chitambira +3 more
openalex +1 more source
A Single-Step Method for Over-the-Horizon Geolocation Using Importance Sampling [PDF]
, 2021 Jiexin Yin +3 more
openalex +1 more source
3G Internet Diffusion and Secondary Education Attainment: Evidence of Opportunity Cost in Vietnam
Review of Development Economics, EarlyView.ABSTRACT Mobile internet diffusion has led to significant societal and economic transformations since its early diffusion, especially in the Global South. This has implied changes in human capital formation, particularly through education, and has reshaped the trade‐off between education and employment, especially among the younger population.
Trang Thi Pham, Bernardo Caldarola
wiley +1 more source
Beyond GNSS: A Survey and Tutorial on Satellite-Based Radio Frequency (RF) Geolocation and Emitter Fingerprinting [PDF]
Nermine Hendy +4 more
openalex +1 more source
Natural Resources and Political Patronage in Africa: An Ethnicity Level Analysis
Review of Development Economics, EarlyView.ABSTRACT We investigate the effect of resource discoveries on ethnicity‐level political patronage in Africa using a large geospatial dataset of 254 ethnic groups in 15 countries over the period 1960–2004. We find that the first (or single first) resource discovery in a virgin ethnic homeland increases the share of cabinet posts of that ethnicity.
Sambit Bhattacharyya, Nemera Mamo
wiley +1 more source
Geolocation Framework using Google Maps for Secure Distance-Based Carbon Savings Stamp in Work from Anywhere Models [PDF]
Bagas Dwi Yulianto +2 more
openalex +1 more source
Machine learning‐based prediction of cereal rye cover crop biomass across diverse agroecosystems
Agricultural &Environmental Letters, Volume 11, Issue 1, June 2026.Abstract Accurate operational predictions of cereal rye (Secale cereale L.) biomass are critical for quantifying the agroecosystem services provided by cover crops and for guiding growers’ management decisions for subsequent cash crops. In this study, we developed machine learning‐based biomass prediction models using two advanced gradient‐boosted tree
Utsab Ghimire +6 more
wiley +1 more source
JCMS: Journal of Common Market Studies, Volume 64, Issue 2, Page 811-834, March 2026.Abstract The article explores the European Union's (EU) regulatory power through supply chain initiatives, in the context of shifting market dynamics towards China and Association of Southeast Asian Nations (ASEAN). Focusing on the EU Regulation on Deforestation‐free products (EUDR) and the cocoa sector in Ghana as a most likely case study, the article
Katharina Weber
wiley +1 more source
Impact of Spatial Scale on Optical Earth Observation‐Derived Seasonal Surface Water Extents
Geophysical Research Letters, Volume 53, Issue 3, 16 February 2026.Abstract Landsat‐derived products are the most prominent, publicly available sources of large‐scale surface water extent data. However, few studies have assessed the limitations of spatial scale on such products. Here, we mapped seasonal surface water extents utilizing high‐resolution (4.77 m) PlanetScope Basemap imagery and machine learning.
Mollie D. Gaines +7 more
wiley +1 more source