Kuruva Lakshmanna

TL;DR: Two of the prominent dimensionality reduction techniques, Linear Discriminant Analysis (LDA) and Principal Component Analysis (PCA) are investigated on four popular Machine Learning (ML) algorithms using publicly available Cardiotocography dataset from University of California and Irvine Machine Learning Repository to prove that PCA outperforms LDA in all the measures.

TL;DR: Thorough experimental analysis shows that the adaptive genetic algorithm with fuzzy logic (AGAFL) model has outperformed current existing methods in diagnosing heart disease at early stages.

TL;DR: The proposed work makes use of a hybrid metaheuristic algorithm, namely, Whale Optimization Algorithm with Simulated Annealing with WOA, and is compared with several state‐of‐the‐art optimization algorithms like Artificial Bee Colony algorithm, Genetic Algorithm, Adaptive Gravitational Search algorithm, WOA.

TL;DR: A crow search-based convolution neural networks model has been implemented in gesture recognition pertaining to the HCI domain and generates 100 percent training and testing accuracy that justifies the superiority of the model against traditional state-of-the-art models.

TL;DR: Energy Efficient Cloud Based Internet of Everything (EECloudIoE) architecture is proposed in this study, which acts as an initial step in integrating these two wide areas thereby providing valuable services to the end users.