Abstract: This paper develops a novel hybrid model based on Generative Adversarial Networks (GANs) and Differential Evolution (DE) to enhance remote sensing data and optimize resource assessment ...
Abstract: Class imbalance is a very challenging problem in data science, affecting the development of several application fields. This problem also plagues the automatic interpretation of remote ...
This study investigates the distribution and habitat suitability of canopy and non-canopy species in Taraba State, Nigeria, using remote sensing indices (NDVI, NDRE) and species distribution modeling ...
A massive and sudden blizzard on Mount Everest's Tibetan slopes trapped nearly 1,000 hikers in remote camps during China's National Day holiday weekend, according to state media reports. Reuters and ...
Introduction: Beekeepers often face challenges in accurately determining the spatial distribution of nectar-producing plants, which is crucial for informed decision-making and efficient beekeeping.
Modern-day precision agriculture relies heavily on sensor technology, and among these, remote sensing is the most widely used tool. The term remote sensing consists of two words, “remote”, which means ...
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