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Develops a WiFi-map and AR-based Android solution to improve indoor spatial cognition and accessibility for hearing- and visually-impaired users.
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Develops a WiFi-map and AR-based Android solution to improve indoor spatial cognition and accessibility for hearing- and visually-impaired users.
Compares deep-learning architectures for motor and cognitive imagery classification from MEG signals and proposes a high-performing hybrid BiLSTM-1DCNN model.
Provides a philosophical analysis of brains, machines, and creativity, distinguishing locked and unlocked strategies and contrasting deep learning with dissipative human cognition.