Image of Person undergoing EEG Scan

Enhancing EEG Data Analysis: Predicting Disconnected Electrode Values using Bidirectional LSTM

In collaboration with Vyria, OctoShrew developed a novel system for predicting values in disconnected EEG electrodes. This allows Vyria to use EEG sets with fewer electrodes and achieve professional-grade accuracy with consumer-level devices.

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3D Clothing Reconstruction for Online Marketplaces

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Image of Person undergoing EEG Scan

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Enhancing EEG Data Analysis: Predicting Disconnected Electrode Values using Bidirectional LSTM

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case-study, data-science, deep-learning, machine-learning

Classroom - Learning

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Enhancing Student Performance Assessment: A Case Study on ELO-Based Rating System with Recurrent Neural Network Integration

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case-study, education, data-science, machine-learning

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How Machine Learning is Enhancing Personal Security

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blog, data-science, machine-learning

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blog, sales, marketing, data-science

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SEO-Optimized Blog Generation

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case-study, marketing, deep-learning, gpt4