TFSNet: A Time-Frequency Synergy Network Based on EEG Signals for Autism Spectrum Disorder Classification. [PDF]
Shi L +8 more
europepmc +1 more source
Reply to Smith: Electrorheological technology reduces the chocolate viscosity and fat level. [PDF]
Tao R +4 more
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From Riyadh 1995 to Sinai 2004 : the return of Al-Qaeda to the Arab homeland [PDF]
Paz, Reuven
core
Novel Molecular Signatures Selectively Predict Clinical Outcomes in Colon Cancer. [PDF]
Lahorewala S +10 more
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Prime Real Estate: Metals, Cofactors and MICOS. [PDF]
Medlock AE +3 more
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Automated detection of polymicrogyria in pediatric patients using deep learning. [PDF]
Guha S, Bhandage V, Agarwal A.
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Enhancing autism spectrum disorder classification in children through the integration of traditional statistics and classical machine learning techniques in EEG analysis. [PDF]
Rogala J +6 more
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Olfactory EEG based Alzheimer disease classification through transformer based feature fusion with tunable <i>Q</i>-factor wavelet coefficient mapping. [PDF]
Cansiz B, Ilhan HO, Aydin N, Serbes G.
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Reply to Ziegler et al.: Electrorheological technology to make chocolate healthier and tastier. [PDF]
Tao R +4 more
europepmc +1 more source

