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

4. Search engine optimization: A review

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

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

7. Data engineering in crisp-dm process production data – case study

8. A new approach for breast cancer detection- based machine learning technique

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

10. Tomato disease detection model based on densenet and transfer learning

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