Frontiers

A Machine Learning and Remote Sensing Approach for Accurate Forest Sub-compartment Level Vegetation Cover Change Monitoring

1 Beijing Forestry University, Beijing, China 2 Ecological Environment Monitoring Center, Sichuan Forestry and Grassland Survey and Planning Institute, CHENGDU, China The final, formatted version of ...
IEEE

Land Cover Classification for Identifying the Agriculture Fields Using Versions of YOLO V8

Abstract: Accurate identification and classification of agricultural fields is essential for analyzing crop growth, agricultural resource management, and supporting decision-making in precision ...
IEEE

A Bi-Objective Policy for Resilient and Sustainable SFC Management in Telco-Cloud Environments

Abstract: Achieving high availability in Service Function Chains (SFCs) typically requires deploying redundant Virtual Network Function (VNF) instances. However, this redundancy increases resource ...
Scientific Research Publishing

Amoah, M.K.M. and Gorsevski, P.V. (2025) Predicting Land Use Land Cover Changes and Impact on Urban Wetlands Using Cellular Automata and Artificial Neural Networks Approach, a ...

ABSTRACT: Artisanal and small-scale (ASM) gold mining activities contribute to the livelihoods of about 200,000 miners and their dependents in the eastern provinces of the Democratic Republic of the ...