EEG-Based Lie Detection Using Autoencoder Deep Learning with Muse II Brain Sensing
Detecting deception has significant implications in fields like law enforcement and security.
This research aims to develop an effective lie detection system using …
This research aims to develop an effective lie detection system using …
Concealed Information Test Using Neuro Evolution of Augmenting Topologies
This research proposal introduces an innovative method for EEG data classification that
leverages Genetic Algorithms and Neural Networks, through the Neuro Evolution of …
leverages Genetic Algorithms and Neural Networks, through the Neuro Evolution of …
EPINET: AN OPTIMIZED, RESOURCE EFFICIENT DEEP GRU-LSTM NETWORK FOR EPILEPTIC SEIZURE PREDICTION
The utilization of Electroencephalogram (EEG) as a non-invasive tool to investigate
neurological disorders, particularly epilepsy, by capturing pathological biosignal markers …
neurological disorders, particularly epilepsy, by capturing pathological biosignal markers …
TuringEQ: Doğrusal Olmayan Problemler Özelinde Yeni bir Yapay Zekâ Mimarisi
ÖYapay Zekâ alanındaki gelişmelerle birlikte birçok alanda Yapay Zekâ kullanımı
yaygınlaşmış ve bu teknolo**in kullanımı ile önemli başarımlar elde edilmiştir. Elde edilen …
yaygınlaşmış ve bu teknolo**in kullanımı ile önemli başarımlar elde edilmiştir. Elde edilen …
Rozpoznávání skrytých informací k určení intencionální lži pomocí elektroencefalografie
M Žabčíková - 2016 - digilib.k.utb.cz
Rozpoznávání skrytých informací za účelem odhalení intencionální lži představuje klíčovou
výzvu v oblasti bezpečnosti. Současné detektory lži jsou nákladné, nepohodlné a náchylné …
výzvu v oblasti bezpečnosti. Současné detektory lži jsou nákladné, nepohodlné a náchylné …