Harnessing ancient Vedic mathematics with Karatsuba multiplication for efficient and secure face recognition in surveillance

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Camera traps and deep learning enable efficient large‐scale density estimation of wildlife in temperate forest ecosystems

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An Open-Source AI-as-a-Service Framework for Federated, Efficient, and Drift-Robust Learning in the Continuum Edge–Cloud

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Efficient Online Prediction for High-Dimensional Time Series via Joint Tensor Tucker Decomposition

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Efficient Knowledge Deletion from Trained Models Through Layer-wise Partial Machine Unlearning

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Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response

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Efficient Online Prediction for High-Dimensional Time Series via Joint Tensor Tucker Decomposition

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Efficient Knowledge Deletion from Trained Models Through Layer-wise Partial Machine Unlearning

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Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response

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Efficient Online Prediction for High-Dimensional Time Series via Joint Tensor Tucker Decomposition

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Efficient Knowledge Deletion from Trained Models Through Layer-wise Partial Machine Unlearning

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Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response

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Physics Informed Kolmogorov-Arnold Neural Networks for Dynamical Analysis via Efficient-KAN and WAV-KAN

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Lightweight multimodal large language model enabling efficient one shot industrial visual anomaly detection

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An efficient and high-quality circuit schematic generation method based on action mask and graph neural network

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Physics Informed Kolmogorov-Arnold Neural Networks for Dynamical Analysis via Efficient-KAN and WAV-KAN

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Physics Informed Kolmogorov-Arnold Neural Networks for Dynamical Analysis via Efficient-KAN and WAV-KAN

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A visual perception-guided data augmentation method for efficient machine learning-based detection of facial micro-expressions

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Spatiotemporal Convolutions on EEG signal -- A Representation Learning Perspective on Efficient and Explainable EEG Classification with Convolutional Neural Nets

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Reparameterized Complex-valued Neurons Can Efficiently Learn More than Real-valued Neurons via Gradient Descent

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