Results 151 to 160 of about 418,704 (219)

Deep Learning for Age Estimation and Sex Prediction Using Mandibular-Cropped Cephalometric Images: Comparative Model Development and Validation Study. [PDF]

JMIR AI
Handayani VW, Margaretha Amiatun Ruth MS, Rulaningtyas R, Kurniawan A, Yudhantorro BA, Yudianto A.   +5 more
europepmc   +1 more source

An explainable deep learning framework for few shot crop disease detection in rice and sugarcane using CNN based feature extraction. [PDF]

Sci Rep
El-Behery H, Attia AF, Rezk NG.
europepmc   +1 more source

Architectural Synergy: Investigating the Role of Artificial Neural Networks in Enabling Deep Learning

L. Ben Dalla Ben Dalla, T. Medeni Medeni, A Agila Agila, İ Medeni Medeni   +3 more
openalex   +1 more source

Artificial intelligence in the diagnosis and prognosis of ocular trauma: a systematic review. [PDF]

BMC Ophthalmol
Dolatabadi ZA, Foodani MN, Farkhad MF, Golvardi-Yazdi F.   +3 more
europepmc   +1 more source

Model-free simulation and fed-batch control of cyanobacterial-phycocyanin production by artificial neural network and deep reinforcement learning

, 2019
Ma, Yan, Benton, Michael G., Romagnoli, Jose A.   +2 more
openalex   +1 more source

Editorial: Deep learning for high-dimensional sense, non-linear signal processing and intelligent diagnosis, vol II. [PDF]

Front Psychiatry
Ke H, Cai C, Yao L, Chen D.
europepmc   +1 more source

Artificial Intelligence in Venous Thromboembolism Prevention: A Narrative Review of Machine Learning, Deep Learning, and Natural Language Processing. [PDF]

J Cardiovasc Dev Dis
Crisan DN, Cut TG, Herlo LF, Ivanovic N, Herlo A, Alexandrescu L, Sălcudean A, Dumache R.   +7 more
europepmc   +1 more source

Land use change prediction with deep learning approach using artificial neural network-cellular automata (ANN-CA)

Fuad Rahman, E N Mahmudah, Slamet Supriyadi, G H Debaba   +3 more
openalex   +1 more source

Artificial intelligence-driven clinical auxiliary diagnosis of benign paroxysmal positional vertigo. [PDF]

Front Neurol
Dai S, Wu Y, Kang X, Shen Z, Zhong P.
europepmc   +1 more source

Modeling Rapid Contextual Learning in the Visual Cortex with Fast-Weight Deep Autoencoder Networks. [PDF]

Proc AAAI Conf Artif Intell
Li Y, Wang W, Lee TS.
europepmc   +1 more source