Results 121 to 130 of about 2,864,900 (159)

C3VDv2 - Colonoscopy 3D video dataset with enhanced realism. [PDF]

Sci Data
Golhar MV, Galeano Fretes LS, Ayers L, Akshintala VS, Bobrow TL, Durr NJ.   +5 more
europepmc   +1 more source

The SLICC/ACR damage index, assessed using a community-based electronic healthcare record, predicts mortality in SLE patients: results from the United Kingdom Clinical Practice Research Datalink. [PDF]

Rheumatol Adv Pract
Ellis J, McHugh N, Pauling JD, Bruce IN, Gor S, Humphreys JH, Vaughan-Williams H, Korendowych E, MacFadyen C, Skeoch S, McGrogan A.   +10 more
europepmc   +1 more source

Enhancing market trend prediction using convolutional neural networks on Japanese candlestick patterns. [PDF]

PeerJ Comput Sci
Mersal ER, Karaoğlan KM, Kutucu H.
europepmc   +1 more source

Adaptive golf-optimized multi-layer perceptron framework for energy-efficient geographic routing and extended network lifetime in MANETs. [PDF]

Sci Rep
Udhayamoorthi M, Ramya R, Saravanan M, Manoharan JS.   +3 more
europepmc   +1 more source

Padding interpolation, median imputation, RobustScalar, and particle swarm optimization with heterogeneous classifiers: a robust combination for effective heart disease diagnosis. [PDF]

Front Med (Lausanne)
Dhanka S, Kumar A, Maini S, Kumar N, Singh J, Khan M, Abbas M, Ksibi A.   +7 more
europepmc   +1 more source

AI-assisted deep learning segmentation and quantitative analysis of X-ray microtomography data from biomass ashes. [PDF]

MethodsX
Strandberg A, Chevreau H, Skoglund N.
europepmc   +1 more source

Enhanced Secretary Bird Optimization Algorithm for Energy-Efficient Cluster Head Selection in Wireless Sensor Networks. [PDF]

Sensors (Basel)
Salamah KS, Gunawan D, Arifin AS.
europepmc   +1 more source

DeepBranchAI: a transferable 3D segmentation model for branching networks. [PDF]

Front Artif Intell
Maltsev AV, Hartnell LM, Ferrucci L.
europepmc   +1 more source

A Hyper Learning Binary Dragonfly Algorithm for Feature Selection: A COVID-19 Case Study

Knowledge-Based Systems, 2021
Abstract The rapid expansion of information science has caused the issue of “the curse of dimensionality”, which will negatively affect the performance of the machine learning model. Feature selection is typically considered as a pre-processing mechanism to find an optimal subset of features from a given set of all features in the data mining process.
Jingwei Too, Seyedali Mirjalili
exaly   +4 more sources

Binary Dragonfly Algorithm for Feature Selection [PDF]

2017 International Conference on New Trends in Computing Sciences (ICTCS), 2017
Wrapper feature selection methods aim to reduce the number of features from the original feature set to and improve the classification accuracy simultaneously. In this paper, a wrapper-feature selection algorithm based on the binary dragonfly algorithm is proposed. Dragonfly algorithm is a recent swarm intelligence algorithm that mimics the behavior of
Derar Eleyan, Majdi Mafarja, Abdelaziz I Hammouri   +2 more
exaly   +4 more sources