Novel Ferroresonant Transformer Fault Diagnostic via Adaptive Spectral Analysis and Machine Learning
dev.toยท6hยท
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๐Ÿ“ŠFrequency Analysis
Show HN: Markdown to Word โ€“ Free Online Converter
markdowntoword.ioยท11hยท
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๐Ÿ“Text Compression
Automated Generation of Research Workflows from Academic Papers: A Full-text Mining Framework
arxiv.orgยท12h
๐Ÿ“šDigital Humanities
Show HN: Math2Tex โ€“ Convert handwritten math and complex notes to LaTeX text
news.ycombinator.comยท1hยท
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๐Ÿ”ขOCR Mathematics
Wavelet-SARIMA-Transformer: A Hybrid Model for Rainfall Forecasting
arxiv.orgยท1d
๐Ÿง Machine Learning
Typst: A Possible LaTeX Replacement
lwn.netยท1hยท
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๐Ÿ“ŸTerminal Typography
ROC AUC Explained: A Beginnerโ€™s Guide to Evaluating Classification Models
towardsdatascience.comยท3h
๐ŸŽฏArithmetic Coding Theory
Eye Strain Affects Productivity
lookaway.comยท20hยท
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โœ๏ธOCR Correction
Semantic Dictionary Encoding
falvotech.comยท2dยท
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๐ŸŒ€Brotli Dictionary
High-Energy Concentration for Federated Learning in Frequency Domain
arxiv.orgยท12h
๐Ÿง Machine Learning
Vectorization in Python for Machine Learning
dev.toยท21hยท
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โšกSIMD Vectorization
Stop fine-tuning LLMs for docs, use RAG
intlayer.orgยท18hยท
๐Ÿค–Archive Automation
CoVariance Filters and Neural Networks over Hilbert Spaces
arxiv.orgยท12h
๐Ÿง Machine Learning
PAC: Pronunciation-Aware Contextualized Large Language Model-based Automatic Speech Recognition
arxiv.orgยท12h
๐Ÿ—ฃ๏ธCMU Pronouncing
Surrogate Representation Inference for Noisy Text and Image Annotations
arxiv.orgยท12h
๐Ÿ“ŠLearned Metrics
TimeCluster with PCA is Equivalent to Subspace Identification of Linear Dynamical Systems
arxiv.orgยท12h
๐ŸŒŠSpectral Clustering
ResidualViT for Efficient Temporally Dense Video Encoding
arxiv.orgยท12h
๐ŸŽฌVideo Codecs
Automated Spectral Analysis & Mineral Classification via Integrated Deep Learning and Bayesian Inference
dev.toยท4hยท
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๐ŸŒˆSpectroscopy
Dynamic Relational Priming Improves Transformer in Multivariate Time Series
arxiv.orgยท1d
๐Ÿง Machine Learning
Primed Attention: Sharpening Transformers for Time Series Forecasting by Arvind Sundararajan
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๐Ÿ“ˆTime Series