This paper addresses the problem of recovering the shape morphology of blood volume pulse (BVP) information from a video of a person's face. Video-based remote plethysmography methods have shown promising results ...
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This work introduces a novel FBG-based system that utilizes FBG's reflected light for temperature sensing and harvests 4.33-mW from the transmitted light that is otherwise wasted. This enables efficient power mana...
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Although deep learning models have been widely used in medical imaging research field to perform lesion segmentation and classification tasks, several challenges remain to optimally apply deep learning models and impr...
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Uncovering the mathematical structure of unknown chaotic systems from limited time series data poses a significant challenge in the field of dynamical systems, with broad applications across various domains. In this p...
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This paper analyses an electrification strategy for a depot for a public transport company, through an optimized model. The case study analyses both the transition of a depot able to host 10 buses towards e-buses and ...
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Post-training quantization of Large Language Models (LLMs) is *** this work, we introduce Low-rank Quantization Error Reduction (LQER), which combines quantization and low-rank approximation to recover the model *** l...
Post-training quantization of Large Language Models (LLMs) is *** this work, we introduce Low-rank Quantization Error Reduction (LQER), which combines quantization and low-rank approximation to recover the model *** leverages an activation-induced scale matrix to drive the singular value distribution of quantization error towards a desirable distribution, which enables near-lossless W4A8 quantization on various LLMs and downstream tasks without the need for knowledge distillation, grid search, or gradient-based iterative *** existing methods, the computation pattern of LQER eliminates the need for specialized Scatter and Gather processes to collect high-precision weights from irregular memory *** W4A8 LLMs achieve near-lossless performance on six popular downstream tasks, while using 1.36× fewer hardware resources than the leading state-of-the-art *** open-sourced our framework at ***/ChengZhang-98/lqer. Copyright 2024 by the author(s)
Face mask wearing detection technology can effectively supervise and control people wearing masks. The traditional mask detection uses only binary classification labels for training, which has low precision and recall...
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This paper presents a method for achieving 2D beam steering using 16-phased array grating couplers through FDTD simulation. The method begins by designing a single grating coupler with a silicon nitride material (dept...
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This paper provides a novel contribution to the field of Machine Learning Anomaly Detection (MLAD) for Wide Area Monitoring, Protection, and Control for Power Grids by developing a hardware-based emulation of electrom...
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We use Bayesian optimization with a new tunable acquisition function to design a photonic Y-splitter robust to fabrication *** to conventional acquisition functions, our method yields more robust solutions across vary...
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