Results 191 to 200 of about 48,641,506 (238)
A Multidimensional Perspective on Network Conditions in Telesurgery
A multidimensional framework systematically evaluates how combined network impairments influence telesurgical performance. By jointly analyzing latency, jitter, bandwidth, and packet loss, the proposed methodology identifies relevant network condition parameters and their interactions, supporting the design of reliable and safe telesurgical systems ...
Florian Heemeyer +4 more
wiley +1 more source
Enhancing minority class recovery in high resolution land cover mapping with dynamic imbalance aware oversampling. [PDF]
Amarante G +5 more
europepmc +1 more source
Abstract This study examines the impact of soil erosion on agricultural land values in the United States (US) Midwest. Based on a novel county‐level panel data set with information on soil erosion levels and agricultural land values covering five census years (1997, 2002, 2007, 2012, and 2017), we separately investigate the direct effect of two types ...
Le Chen +3 more
wiley +1 more source
Attention-Enhanced YOLOv11 for Early Detection of Fungal-Induced Forest Tree Decline. [PDF]
Akhmedov F +6 more
europepmc +1 more source
Abstract Crop insurance is undoubtedly an extremely valuable element in protecting agricultural businesses, but in many cases standard indemnity‐based products have had very low uptake due to high transaction costs elevating premiums to unaffordable levels.
Amogh Prakasha Kumar +2 more
wiley +1 more source
An AI-ready remote sensing dataset for high-resolution forest disturbance mapping. [PDF]
Rodríguez-Paulino E +5 more
europepmc +1 more source
Abstract Large‐scale land reforms constitute a substantial redistribution of wealth and reallocation of agricultural land, which is a major form of asset and production input in developing countries. While land redistribution (from the rich to the poor) remains a highly controversial issue, extensive evidence on its effect is limited.
Devashish Mitra +3 more
wiley +1 more source
Multimodal Deep Learning and Foundation Models for Early Detection and Forecasting of Plant Diseases. [PDF]
Manda T +5 more
europepmc +1 more source
Lost in aggregation? On the importance of local food price data for food poverty estimates
Abstract This paper explores within‐country variations in food price dynamics and food poverty estimates by employing local market price data and national consumer price index (CPI) data. Our results show that national CPI data may be useful for approximating national trends but they fail to detect and identify spatial variations in local trends, which
Stephan Dietrich +4 more
wiley +1 more source
Food Origin Authenticity Using Deep Learning and Citizen Science: Bananas Case Study. [PDF]
Fragkos N +3 more
europepmc +1 more source

