Improving the generalisabiility of a deep learning model for global forest classification through image normalisation, enhancement and augmentation by Swaine, Michael

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A review of three machine learning models using UAV derived photogrammetry for detecting and measuring tree stumps by Hubbard, Alan John

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Nondestructive quantitative model for predicting the residual tensile strength of silk textile cultural heritage based on machine learning

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Enhancing BIM Modeling Ability of Undergraduate Architectural Engineering Students through the Integration of Flipped Classroom and Collaborative Learning

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Development and Validation of an Interpretable Machine Learning Model for Predicting Thrombocythemia Risk During Third Generation Cephalosporin Therapy

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Epidemic Forecasting via Hybrid Deep Learning With Unified Visibility and Temporal Graphs Under Stochastic Noise Modelling

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Attributes Descriptions among the Medical Lecturers in Implementing the Problem-Based Learning (PBL) Based on the Onion Model Theory

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Digital‐Green Collaborative Transformation and Agricultural Economic Resilience: Evidence From a Double Machine Learning Model

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

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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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Modelling the Livelihood Vulnerability Index (LVI-IPCC) with Machine Learning in Agro-Ecological Region I of Southern Zambia

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Machine Learning Driven Intrusion Detection for Internet of Things Networks: A Comparative Study of Ensemble and Traditional Models

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Metaheuristic‐Driven Feature Selection for Blockchain Fraud Detection: A Comparative Study on Machine and Deep Learning Models

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RETRACTION: Study on Intelligent Online Piano Teaching System Based on Deep Learning Recurrent Neural Network Model

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Novel Unsupervised Machine Learning Model Using Multi-Parametric Radiomics for Prognostic Stratification of Bifocal Hepatocellular Carcinoma

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Accurate proteome-wide prediction of enzymes and catalytic sites using graph deep learning and protein language model

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RETRACTION: Preparation and Mechanical Properties of High Silicon Molybdenum Cast Iron Materials: Based on Deep Learning Model

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Machine learning algorithms for climate change integration in evaluation: A conceptual model and simulated case application in Africa

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BALANCING ACCURACY AND INTERPRETABILITY IN CREDIT RATING MODELS: A COMPARATIVE ANALYSIS OF STATISTICAL AND MACHINE LEARNING METHODS IN NIGERIA

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Adaptive AI-Driven Learning Architecture for Real Time Detection and Prevention of Data Poisoning and Model Evasion Attacks

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