Development of a Machine Learning-Driven Automated Waste Sorting System

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Tri Hita Karana-based green constitution learning model to improve elementary school students’ ecological literacy

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Reconstruction of Global 0.25° Land Lightning Density from 1979 to 2025 based on an ensemble machine learning

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Improving land cover change modelling with machine learning: a comparative analysis of SVM and XGBoost in the Lesotho Lowlands

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Effect of electronic recruitment on organizational performance through the mediating role of organizational learning capability in the Commercial Bank of Ethiopia

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Integrating Remote Sensing and Machine Learning to Project Global Habitat Suitability and Productivity of Chinese Fir Under Climate Change

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Identifying personal and environmental assets to enrich pre-school learning within a culture of poverty : an ethnographic study

Subjects: “…Environmental assets…”
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A hybrid deep learning model for land subsidence prediction based on TS-InSAR: a case study of Donggugang

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Lessons learned from compiling a flora checklist for the Cape Peninsula, South Africa

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Global monthly ocean dissolved oxygen (1960–2023) reconstructed to 5902 m with BLENDR, a Bayesian-optimized ensemble learning framework

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Machine learning and geospatial modeling of forest loss, drivers, and risk areas: advancing continuous cover forestry as a nature-based solution

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Using machine learning models to study the magnitude and associated factors of road traffic accidents among bus drivers in Marodijeh Region, Somaliland

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Multi‐Source Fusion Deep Learning for Predicting Satellite Communication Link Quality in Environmental Monitoring Cyber‐Physical Systems

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Paper 21: DeepEdgeNet: An Edge-Cloud Deep Learning Framework for Efficient Environmental Monitoring in IoT Systems

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Decolonizing Conservation and the Importance of Nature‐Based Approaches, Not Solutions: Learning From Indigenous and Local Conservation Systems in India to Achieve the Global Biodi...

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Integration of machine learning model and CMIP6 analysis for climate change impact-led landslide susceptibility and population exposure assessments in the Nepal Himalaya

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FDU-BTR: a physics-guided ensemble learning reconstruction of global surface-ocean pCO2 (1982–2024) with uncertainty diagnostics

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Investigation of Environmental Influences on Multiple Sclerosis: A Study for Egypt’s Health by Ali, Noha EzzAldin Alziny

“…This signature provides the first concrete, population-specific biochemical evidence linking environmental exposures to MS risk in Egypt. The findings underscore the importance of region-specific environmental research and open new avenues for public health strategies focused on exposure mitigation and the development of targeted diagnostic and therapeutic approaches. 7 Keywords: Multiple Sclerosis; trace elements; inflammatory markers; machine learning; Nickel; Chromium; HSP70.…”
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Enhanced Software Defect Prediction Using Ensemble Learning with Correlation-Based Feature Selection and SMOTE

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