Elżbieta Jasińska

TL;DR: The accuracy results in the identification of diseases showed that the deep CNN model is promising and can greatly impact the efficient identification of the diseases, and may have potential in the detection of diseases in real-time agricultural systems.

TL;DR: In this paper, the results have been computed based on (i) full features, (ii) correlation-based feature selection, (iii) Wrapper method feature selection and (iv) Least absolute shrinkage and selection operator regression, (v) synthetic minority over-sampling technique with least absolute shrinkages and operator regression selected features, and (vi) Synthetic minority over sampling technique with full features.

TL;DR: An adaptive neuro-fuzzy inference system (ANFIS) maximum power point tracking (MPPT) controller for grid-connected doubly fed induction generator (DFIG)-based wind energy conversion systems (WECS) aims at extracting maximum power from the wind by tracking the maximum power peak regardless of wind speed.

TL;DR: This article indicated that the J48 decision tree classifier is the appropriate machine learning-based classifier for optimum breast cancer prognosis.

TL;DR: In this article, the authors present an assessment of the accuracy of the coordinates designated the border points using the traditional method, which has undergone a process of scanning and vectorization, and the extent to which the accuracy is affected by the accuracy and establish the configuration points.