Hazard identification in construction typically requires safety managers to manually inspect
an area. However, current approach is very limited due to the dynamic nature of construction …

The gap filling is common practice to complete hydrological data series without missing
values for environmental simulations and water resources modeling in a changing climate …

Data Mining is the process of extracting useful information from large datasets. Data mining
techniques till now used in business and corporate sectors may be used in agriculture for …

Spatial data classification and extraction is a significant problem to be resolved in data
mining. The classification performance of existing techniques was not effectual to accurately …

Clustering objects for spatial data mining: a comparative study Page 1 Vol– 1 Issue 3 Pg. no.-
1 ©2023 Youssef FAKIR. et al. This is an open access article distributed under the terms of the …

Barış, gerginlik durumu, terörle mücadele ve savaş süreçlerinde hedef ülkeye veya silahlı
kuvvetlerine karşı bilgi üstünlüğü sağlamak ve düşmanın kendi ülkemiz üzerinde yapacağı …

Researchers from government offices, educational institutes and private organizations are
generating large amounts of geospatial data. Even though they provide valuable information …

Machine learning has become an essential component of issue resolution in the modern
world, whether the challenge is small-scale, like estimating rent, or large-scale, like facial …

Spatial data classification and extraction is a significant problem to be resolved in data
mining. The classification performance of existing techniques was not effectual to accurately …

Abstract In the United States, food insecurity has been an ongoing concern nationwide, with
over 17.4 million Americans affected. The United States Department of Agriculture (USDA) …