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SleepTNet: Automatic Sleep Stage Classification With Transition Model Using Multi-Channel EEG

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SleepTNet: Automatic Sleep Stage Classification With Transition Model Using Multi-Channel EEG

Waruna Saowapark et al · IEEE · 2026 · ISSN 2169-3536

Sleep plays an important role in physical health, cognition, and emotional well-being. Since sleep disorders can affect all these aspects, accurately detecting sleep stages is key to proper diagnosis and monitoring. Auto...

LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng

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LMF-Net: A Lunar Multifocus Image Fusion and High-Fidelity Detail Reconstruction Network for Double-Blur Transition Regions

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LMF-Net: A Lunar Multifocus Image Fusion and High-Fidelity Detail Reconstruction Network for Double-Blur Transition Regions

Yuhao Zhang et al · IEEE · 2026 · ISSN 1939-1404

High-quality lunar imaging is essential to terrain modeling, resource assessment, and landing navigation. However, due to the limited depth-of-field of lunar probe cameras, a single image cannot simultaneously capture cl...

LCC LCC:Ocean engineering; LCC:Geophysics. Cosmic physicsIdioma eng

Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.

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