Results 161 to 170 of about 87,060 (221)

Electroencephalogram Sonification with Hybrid Intelligent System Design Based on Deep Network. [PDF]

J Med Signals Sens
Jalali H, Pouladian M, Nasrabadi AM, Movahed A.   +3 more
europepmc   +1 more source

Advancing deep learning for expressive music composition and performance modeling. [PDF]

Sci Rep
Zhang M.
europepmc   +1 more source

The singing style of female roles in ethnic opera under artificial intelligence and deep neural networks. [PDF]

Sci Rep
Yang H.
europepmc   +1 more source

Effects of constant and incremental modes of music volume and odor concentration on vigilance. [PDF]

Front Psychol
Ma X, He J, Yu H, Wang C, Wang R.
europepmc   +1 more source

Effect of peri-interventional music on postictal agitation in electroconvulsive therapy patients (MUSE): protocol for an open-label multicentre randomised controlled trial in the Netherlands. [PDF]

BMJ Open
van der Valk Bouman ES, Ertman M, Koopmans MR, van der Vlugt-Molenaar JJB, Heijnen WTCJ, van Groen JC, Korstanje JW, Birkenhager TK, Klimek M.   +8 more
europepmc   +1 more source

Editorial: Motivation in learning and performance in the arts and sports. [PDF]

Front Psychol
Mornell A, Osborne MS, Kageyama N, Heuser F.   +3 more
europepmc   +1 more source

Application of artificial intelligence CNN model in emotional recognition of instrumental music. [PDF]

Sci Rep
Liu Y.
europepmc   +1 more source

The impact of different music genres on pain tolerance: emphasizing the significance of individual music genre preferences. [PDF]

Sci Rep
Van der Valk Bouman ES, Becker AS, Schaap J, Berghman M, Oude Groeniger J, Van Groeningen M, Vandenberg F, Geensen R, Jeekel J, Klimek M.   +9 more
europepmc   +1 more source

Self-Chosen Music as a Contributor to Music-Induced Analgesia Across Diverse Socio-Cultural Backgrounds: A Crossover Randomised Controlled Trial. [PDF]

Eur J Pain
Becker AS, van der Valk Bouman ES, Schaap J, van Eijck K, Bierman Z, Saat C, Jeekel H, de Vos CC, Klimek M.   +8 more
europepmc   +1 more source

Predicting danceability and song ratings using deep learning and auditory features. [PDF]

PeerJ Comput Sci
Wu W.
europepmc   +1 more source