ISSN 2353-6977 (Online)

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Most cited papers

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The most cited papers (according to Scopus database):

1. Knee joint osteoarthritis diagnosis based on selected acoustic signal discriminants using machine learning

2. Comparison of selected classification methods based on machine learning as a diagnostic tool for knee joint cartilage damage based on generated vibroacoustic processes

3. Numerical prediction of component-ratio-dependent compressive strength of bone cement

4. Uavs flight routes optimization in changing weather conditions - constraint programming approach

5. Search engine optimization: A review

6. Application of acoustic signal processing methods in detecting differences between open and closed kinematic chain movement for the knee joint

7. Application of eemd-dfa algorithms and ann classification for detection of knee osteoarthritis using vibroarthrography

8. Computer-aided material demand planning using ERP systems and business intelligence technology

9. Implementation of dynamic and fast mining algorithms on incremental datasets to discover qualitative rules

10. Recognition of font and tamil letter in images using deep learning

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