Results 81 to 90 of about 22,598 (163)

Utilizing deep belief network optimized by balanced Manta ray foraging optimization algorithm for estimating the shear Wall's shear strength. [PDF]

Sci Rep
Liu F, Dong Z, Gorbani B.
europepmc   +1 more source

Gesture Recognition Based on Multiscale Singular Value Entropy and Deep Belief Network. [PDF]

Sensors (Basel), 2020
Li W, Luo Z, Jin Y, Xi X.
europepmc   +1 more source

Quantum-inspired seagull optimised deep belief network approach for cardiovascular disease prediction. [PDF]

PeerJ Comput Sci
Banumathy D, Vetriselvi T, Venkatachalam K, Cho J.   +3 more
europepmc   +1 more source

Medical image analysis using wavelet transform and deep belief networks

, 2017
Medical image analysis using wavelet transform and deep belief ...
Chee Peng Lim (13063809), A Khatami (13493650), S Nahavandi (13392411), Abbas Khosravi (13078944), T Nguyen (9018068)   +4 more
core  

Optimizing deep belief network for concrete crack detection via a modified design of ideal gas molecular dynamics. [PDF]

Sci Rep
Qin T, Yan G, Jiang H, Shen M, Settanni A.   +4 more
europepmc   +1 more source

Detection of Alzheimer's disease using Otsu thresholding with tunicate swarm algorithm and deep belief network. [PDF]

Front Physiol
Ganesan P, Ramesh GP, Falkowski-Gilski P, Falkowska-Gilska B.   +3 more
europepmc   +1 more source

Analyzing the Patient Behavior for Improving the Medical Treatment Using Smart Healthcare and IoT-Based Deep Belief Network.

J Healthc Eng, 2022
Mohamed RMK, Shahin OR, Hamed NO, Zahran HY, Abdellattif MH.   +4 more
europepmc   +1 more source

A multimodal framework based on deep belief network for human locomotion intent prediction. [PDF]

Biomed Eng Lett
Li J, Zhang J, Li K, Cao J, Li H.
europepmc   +1 more source

Deep belief network-Based Matrix Factorization Model for MicroRNA-Disease Associations Prediction. [PDF]

Evol Bioinform Online, 2020
Ding Y, Wang F, Lei X, Liao B, Wu FX.
europepmc   +1 more source

MICROCALCIFICATION DETECTION WITH DEEP BELIEF NETWORK

, 2012
In this thesis, deep belief net (DBN) is applied for detection of microcalcification (MC) clusters in digital mammograms. DBN is a relatively new type of neural network in machine learning which can learn complex structures from data by using a deep ...
Liu, Lu
core