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Behavioral determinants of compliance with statutory maintenance and inspection for distributed solar photovoltaics in Japan
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EMU fault detection algorithm based on the GAN+YOLO model under limited data
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The Path to Future‐Proof Photovoltaics in Europe: Current Status and Impact of Technological Innovation on Reliable and Bankable Photovoltaics
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Calibration of the Numerical Model of a Dynamic Replacement Column Formed Under Laboratory Conditions
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Ecovoltaic solar energy development creates novel microclimate, temperature, and soil moisture patterns under solar panels in a warm desert
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Assessing Photovoltaic Recycling Capacities and Policy Gaps in the European Union
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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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Machine learning-based assessment of future debris flow susceptibility under CMIP6 precipitation scenarios in Qinghai Province, China
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Hybrid Cosensitization via Fluorescence Resonance Energy Transfer in Emerging Photovoltaic Technologies
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Landslide susceptibility assessment in the Central Yunnan Plateau by assembling optimized statistical and machine learning models
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Machine Learning and Geospatial Modeling of Climate Change Impacts on Ethiopian Honeybees for Conservation and Resilient Agriculture
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Seismic risk study based on 3D active fault model of the Ningxia area, northeastern margin of Tibetan plateau
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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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Examining employee pro environmental behavior under organizational politics the conditional roles of climate and leadership
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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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A systematic review on machine learning deep learning and IoT for water quality prediction
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Multi-temporal modelling and projection of land use/land cover dynamics in the Dechatu River Catchment, Ethiopia using Google Earth Engine and machine learning
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Spanish-language text classification for environmental evidence synthesis using multilingual pre-trained models
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Genotype selection in soybean using WAASB and MTSI for seed yield, composition, and fatty acid profiles under irrigated and rainfed conditions
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Retrieval of rice biophysical parameters from Sentinel‑2 using parsimonious multi‑output machine learning
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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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Field investigations on large-scale instability triggered by the Chenghai-Binchuan fault zone, northwestern Yunnan, China
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Integrative Analysis of Abiotic Stress–Responsive Genes in Soybean Using Differential Gene Expression and Validation With Machine Learning
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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
