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Les trames vertes : discours et/ou matérialité, quelles réalités ?
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Machine learning and AI for advancing Parkinson's disease diagnosis: exploring promising applications
Published 2024-03-01Get full text
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A Lightweight Model for Shine Muscat Grape Detection in Complex Environments Based on the YOLOv8 Architecture
Published 2025-01-01“…Evaluated on the newly developed Shine-Muscat-Complex dataset of 4715 images, the proposed model achieved a 2.6% improvement in mean Average Precision (mAP) over YOLOv8n while reducing parameters by 36.8%, FLOPs by 34.1%, and inference time by 15%. …”
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A Large-Scale Agricultural Land Classification Method Based on Synergistic Integration of Time Series Red-Edge Vegetation Index and Phenological Features
Published 2025-01-01“…Agricultural land classification plays a pivotal role in food security and ecological sustainability, yet achieving accurate large-scale mapping remains challenging. …”
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MALVADA: A framework for generating datasets of malware execution traces
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Classification of risk for transmission of vaccine-preventable diseases in Brazilian municipalities: comparative analysis before and after the national movement for vaccination and...
Published 2025-02-01“…Abstract Objective To analyze the classification of the risk of transmission of vaccine-preventable diseases in Brazilian municipalities before and after the National Movement for Vaccination and Multivaccination proposed by the Ministry of Health. …”
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A supervised model to identify wolf behavior from tri-axial acceleration
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Drought Monitoring during Growth Rangeland Coverage, Ardabil Province
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Apk2Audio4AndMal: Audio Based Malware Family Detection Framework
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Land Use and Land Cover Change Detection Using Remote Geospatial Techniques: A Case Study of an Urban City in Southwestern, Nigeria
Published 2021-06-01“…The results show that 26.36% of forest cover and 44.48% of waterbody were lost between the period of 1986 and 2018. …”
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The Neural Frontier of Future Medical Imaging: A Review of Deep Learning for Brain Tumor Detection
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Improving Sleep Disorder Diagnosis Through Optimized Machine Learning Approaches
Published 2025-01-01“…The traditional expert-based classification of sleep stages, particularly through visual inspection, is challenging and prone to errors. …”
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