Results 131 to 140 of about 3,838 (180)

Strategies for Class-Imbalanced Learning in Multi-Sensor Medical Imaging. [PDF]

Sensors (Basel)
Zhou D, Gao S, Huang X.
europepmc   +1 more source

Machine learning-based cardiovascular risk calculator for non-cardiac surgery. [PDF]

Open Heart
Al Khatib N, Chehab A, Tamim H, Dakik HA, Tajeddine R.   +4 more
europepmc   +1 more source

Non-technical loss detection in power distribution networks using machine learning. [PDF]

Sci Rep
Abro SA, Laghari JA, Memon SA, Khan TA, Memon I, Nasir H, Fatima K.   +6 more
europepmc   +1 more source

Synthetic Data-Enhanced Classification of Prevalent Osteoporotic Fractures Using Dual-Energy X-Ray Absorptiometry-Based Geometric and Material Parameters. [PDF]

Endocrinol Metab (Seoul)
Quagliato L, Seo J, Hong J, Lee T, Chung YS.   +4 more
europepmc   +1 more source

Research on Extreme Financial Risk Early Warning Based on ODR-ADASYN-SVM [PDF]

Proceedings of the 2017 International Conference on Humanities Science, Management and Education Technology (HSMET 2017), 2017
openaire   +1 more source

Combining magnetic resonance imaging and evoked potentials enhances machine learning prediction of multiple sclerosis disability worsening. [PDF]

Front Immunol
Aerts S, Werthen-Brabants L, Khan H, Giraldo DL, De Brouwer E, Geys L, Popescu V, Sijbers J, Woodruff HC, Dhaene T, Deschrijver D, Van Wijmeersch B, Lambin P, Peeters LM.   +13 more
europepmc   +1 more source

Predicting hypertension and identifying most important factors among married women in Bangladesh using machine learning approach. [PDF]

PLoS One
Das NC, Ghosh PK, Hossain MA, Shuvo UA, Talukder NR, Khatun F, Chowdhury MZI.   +6 more
europepmc   +1 more source

A stacked learning framework for accurate classification of polycystic ovary syndrome with advanced data balancing and feature selection techniques. [PDF]

Front Physiol
Emara HM, El-Shafai W, Soliman NF, Algarni AD, Alkanhel R, Abd El-Samie FE.   +5 more
europepmc   +1 more source

FFT-RDNet: A Time-Frequency-Domain-Based Intrusion Detection Model for IoT Security. [PDF]

Sensors (Basel)
Xiang B, Zheng R, Zhang K, Li C, Zheng J.   +4 more
europepmc   +1 more source