We developed a patient-independent EEG-based seizure detection model that generalizes across subjects despite inter-subject variability in spatial seizure expression, electrode characteristics, and artifacts. Scalp EEG recordings from the CHB–MIT (18 channels) and the TUSZ v2.0.3 (20 channels) datasets were evaluated u...
Hrishikesh Tiwary, Arnav V. Bhavsar, M. H· Neural computing & applicati...· 0 citations
The rapid growth of Autonomous aerial vehicles (AAVs) in civilian and defense domains has intensified the need for reliable detection systems to ensure airspace security and situational awareness. Detection in air-to-air scenarios remains highly challenging due to scale variations, rapid motion, and background clutter....
Dapinder Kaur, Neeraj Battish, Arnav V. Bhavsar et al.· IEEE Transactions on Aerospa...· 0 citations
WAVIE (Wavelet Augmented Vision Intermediate Embeddings) is proposed, an end-to-end architecture that combines complementary spatial and frequency cues on top of a frozen CLIP backbone that outperforms several state-of-the-art generalization baselines for deepfake detection in the wild.
Arya Pulkit, Aditya Ruhela, Akarshan Kapoor et al.· 0 citations
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