Homogeneous adaboost ensemble machine learning algorithms with reduced entropy on balanced data
Today's world faces a serious public health problem with cancer. One type of cancer that
begins in the breast and spreads to other body areas is breast cancer (BC). Breast cancer is …
begins in the breast and spreads to other body areas is breast cancer (BC). Breast cancer is …
A two-step data normalization approach for improving classification accuracy in the medical diagnosis domain
I Izonin, R Tkachenko, N Shakhovska, B Ilchyshyn… - Mathematics, 2022 - mdpi.com
Data normalization is a data preprocessing task and one of the first to be performed during
intellectual analysis, particularly in the case of tabular data. The importance of its …
intellectual analysis, particularly in the case of tabular data. The importance of its …
Individualized short-term electric load forecasting using data-driven meta-heuristic method based on LSTM network
Short-term load forecasting is viewed as one promising technology for demand prediction
under the most critical inputs for the promising arrangement of power plant units. Thus, it is …
under the most critical inputs for the promising arrangement of power plant units. Thus, it is …
Intelligent analysis of Ukrainian-language tweets for public opinion research based on NLP methods and machine learning technology
The article develops a technology for finding tweet trends based on clustering, which forms a
data stream in the form of short representations of clusters and their popularity for further …
data stream in the form of short representations of clusters and their popularity for further …
Real estate app development based on AI/VR technologies
I Miljkovic, O Shlyakhetko, S Fedushko - Electronics, 2023 - mdpi.com
This paper deals with an investigation centered on developing a real estate app on the basis
of Artificial Intelligence and Virtual Reality technologies. The study explores the advantages …
of Artificial Intelligence and Virtual Reality technologies. The study explores the advantages …
Parameterization of the stochastic model for evaluating variable small data in the Shannon entropy basis
The article analytically summarizes the idea of applying Shannon's principle of entropy
maximization to sets that represent the results of observations of the “input” and “output” …
maximization to sets that represent the results of observations of the “input” and “output” …
An advanced decision tree-based deep neural network in nonlinear data classification
Deep neural networks (DNNs), the integration of neural networks (NNs) and deep learning
(DL), have proven highly efficient in executing numerous complex tasks, such as data and …
(DL), have proven highly efficient in executing numerous complex tasks, such as data and …
Analytical Review of the Methods of Multifunctional Digital Mueller-Matrix Laser Polarimetry
We present the materials of analytical review of modern scientific literature, which deals with
the interaction of polarized radiation with phase-inhomogeneous and optically anisotropic …
the interaction of polarized radiation with phase-inhomogeneous and optically anisotropic …
Entropy-argumentative concept of computational phonetic analysis of speech taking into account dialect and individuality of phonation
In this article, the concept (ie, the mathematical model and methods) of computational
phonetic analysis of speech with an analytical description of the phenomenon of phonetic …
phonetic analysis of speech with an analytical description of the phenomenon of phonetic …
Optimization of convolutional neural network structure for biometric authentication by face geometry
The article presents development of the methodology of using a convolutional neural
network for biometric authentication based on the analysis of the user face geometry. The …
network for biometric authentication based on the analysis of the user face geometry. The …