From human business to machine learning—methods for automating real estate appraisals and their practical implications

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Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric

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Digital Twin-based framework for real-time fault diagnosis and prognosis of industrial robots using unsupervised learning and real experimental data

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Facilitating online learning for authentic real-life challenges in a MakerSpace environment

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An IoT-Driven Real-Time Skin Disease Detection System using Machine Learning

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Learning to trust : experimental evidence of social learning in a real-world social network of player A's in a trust game. by Roots, Lindsey

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End-to-End Autonomous Quadcopter using Reinforcement Learning by Chawa, Mohamed Marwan

Subjects: “…Simulation-To-Real…”
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Integrating Fractional Generalized Laguerre Moment with Deep Residual Learning for Real-Time Attack Classification

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Integrating Fractional Generalized Laguerre Moment with Deep Residual Learning for Real-Time Attack Classification

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Integrating Fractional Generalized Laguerre Moment with Deep Residual Learning for Real-Time Attack Classification

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Autonomous racing on unseen tracks using reinforcement learning by Jefferies, Devin Wayne Patrick

Subjects: “…Reinforcement learning…”
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Reparameterized Complex-valued Neurons Can Efficiently Learn More than Real-valued Neurons via Gradient Descent

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Fighting Poaching through High-Precision Real-Time Gunshot Detection Using Deep Learning and SAIL

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Deep Learning‐Based Optimal Sizing of a Grid‐Tied Microgrid Under Real‐Time Pricing

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Research on the analysis platform of the interactive mode of the collaborative learning group combining spatio-temporal graph convolutional network and YOLO real-time detection

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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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LightFraud a lightweight hybrid deep learning model for real time fraud detection on edge devices

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Real‐Time Data‐Driven Fault Diagnosis of Photovoltaic Arrays Using an Edge‐Server Machine‐Learning Framework

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Rail surface anomaly detection : a deep learning . approach for computer vision

Subjects: “…Deep learning…”
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Reparameterized Complex-valued Neurons Can Efficiently Learn More than Real-valued Neurons via Gradient Descent

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