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Telangana rice surplus challenge grows as paddy output triples in a decade Vishal Mega Mart Lock-In Expiry Frees Shares Worth Rs 10,813 Crore for Trade India, Canada Agree to Conclude Free Trade Pact Talks by Year-End After G7 Meeting Oil Prices Dip Near $70 per Barrel as Middle East Turmoil Cools After US-Iran Deal New Research Reveals Distinct Training Dynamics of On-Policy Distillation for Large Language Models Study Finds Hybrid CNN-Clay Model Improves Landslide Detection Accuracy Over Baseline New Hybrid Neuro-Symbolic Framework Achieves 78.1% Accuracy in Irony Detection Without Fine-Tuning UniSinger: First End-to-End Framework Unifies Song Generation and Singing Voice Conversion New Legal QA Benchmark Exposes Hallucination Risks in Statute-Centric AI Retrieval CrossMaps: Real-Time Open-Vocabulary Semantic Mapping for Autonomous Rover Navigation Telangana rice surplus challenge grows as paddy output triples in a decade Vishal Mega Mart Lock-In Expiry Frees Shares Worth Rs 10,813 Crore for Trade India, Canada Agree to Conclude Free Trade Pact Talks by Year-End After G7 Meeting Oil Prices Dip Near $70 per Barrel as Middle East Turmoil Cools After US-Iran Deal New Research Reveals Distinct Training Dynamics of On-Policy Distillation for Large Language Models Study Finds Hybrid CNN-Clay Model Improves Landslide Detection Accuracy Over Baseline New Hybrid Neuro-Symbolic Framework Achieves 78.1% Accuracy in Irony Detection Without Fine-Tuning UniSinger: First End-to-End Framework Unifies Song Generation and Singing Voice Conversion New Legal QA Benchmark Exposes Hallucination Risks in Statute-Centric AI Retrieval CrossMaps: Real-Time Open-Vocabulary Semantic Mapping for Autonomous Rover Navigation

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Epileptic Seizure Detection via Frequency-Aware Graph Convolutional Networks Achieves 99% Accuracy

Artificial Intelligence #epileptic seizure detection#eeg signals

Epileptic Seizure Detection via Frequency-Aware Graph Convolutional Networks Achieves 99% Accuracy

A research team has developed a frequency-aware framework for epileptic seizure detection using EEG signals. By decomposing signals into five frequency bands and applying a graph convolutional neural network (GCN), the method achieves up to 99.7% accuracy on specific bands and an overall broadband accuracy of 99.01% on the CHB-MIT dataset, while enhancing neurophysiological interpretability.

Jun 17, 2026 1 source