Computer-aided diagnosis based on extreme learning machine: a review
Z Wang, Y Luo, J Xin, H Zhang, L Qu, Z Wang… - IEEE …, 2020 - ieeexplore.ieee.org
Computer-Aided Diagnosis (CAD) can improve the accuracy of diagnosis effectively, reduce
the rate of misdiagnosis, and provide the support for the valid decision. In clinical …
the rate of misdiagnosis, and provide the support for the valid decision. In clinical …
Point based forecasting model of vehicle queue with extreme learning machine method and correlation analysis
F Makhrus - International Journal of Intelligent Systems and …, 2021 - search.proquest.com
Traffic is a medium to move from one point to another. Therefore, the role of traffic is very
important to support vehicle mobility. If congestion occurs, mobility will be hampered so that …
important to support vehicle mobility. If congestion occurs, mobility will be hampered so that …
[PDF][PDF] A Novel Technique for Image Retrieval based on Concatenated Features Extracted from Big Dataset Pre-Trained CNNs
CM Bhuma, R Kongara - … Journal of Image, Graphics and Signal …, 2023 - academia.edu
Accessing semantically relevant data from a database is not only essential in commercial
applications but also in medical imaging diagnosis. Representation of the query image by its …
applications but also in medical imaging diagnosis. Representation of the query image by its …
Pemodelan Prediksi Harga Ethereum (Atribut: Open, High dan Low) dengan Algoritma Extreme Learning Machine
K Kasliono, N Candraningrum… - Building of Informatics …, 2023 - ejurnal.seminar-id.com
Abstrak− Harga cryptocurrency seperti Ethereum sering mengalami fluktuasi yang tinggi dan
sulit untuk diprediksi. Penelitian ini bertujuan untuk memprediksi harga Ethereum …
sulit untuk diprediksi. Penelitian ini bertujuan untuk memprediksi harga Ethereum …
Risk forecasting of data confidentiality breach using linear regression algorithm
О Korystin, S Nataliia, O Mitina - International Journal of …, 2022 - search.proquest.com
The paper focuses on the study of cyber security in Ukraine and creation of a predictive
model for reducing the risk of identified cyber threats. Forecasting is performed using a …
model for reducing the risk of identified cyber threats. Forecasting is performed using a …
[PDF][PDF] Neural network modeling and correlation analysis of brain plasticity mechanisms in stroke patients
IV Stepanyan, LA Mayorova, VV Alferova… - … Journal of Intelligent …, 2019 - researchgate.net
The aim of this research is the study of pathogenic signs, prognostically significant for the
outcome of the disease and restoration of impaired functions at various stages of recovery …
outcome of the disease and restoration of impaired functions at various stages of recovery …
Retrieval of X-ray images using scale invariant feature transform and combination of region and elliptic Fourier descriptors feature
X-ray images are increasing rapidly in hospitals. We must need a system which retrieves X-
ray images automatically. In this research, CBMIR system is developed to retrieve X-ray …
ray images automatically. In this research, CBMIR system is developed to retrieve X-ray …
[PDF][PDF] Computer-Aided Diagnosis Based on Extreme Learning Machine: A Review
W ZHU, X WANG - scholar.archive.org
ABSTRACT Computer-Aided Diagnosis (CAD) can improve the accuracy of diagnosis
effectively, reduce the rate of misdiagnosis, and provide the support for the valid decision. In …
effectively, reduce the rate of misdiagnosis, and provide the support for the valid decision. In …