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Fabrication, Characterization and Optical Investigation of Semi-organic Nonlinear Alanine Hippurate Single Crystals
In the present work, a single crystal of alanine and hippuric acid was prepared through the slow growth dynamics of sample evaporation. The crystallinity, structure, and cell parameters of the produced single crystals were determined by X-ray diffraction (XRD) analysis. While, frequency shifting and the various functional groups of alanine with hippuric acid were investigated by FTIR and FT-Raman
Graph transformer for communities detection in social networks
Graphs are used in various disciplines such as telecommunication, biological networks, as well as social networks. In large-scale networks, it is challenging to detect the communities by learning the distinct properties of the graph. As deep learning has made contributions in a variety of domains, we try to use deep learning techniques to mine the knowledge from large-scale graph networks. In this
Enhancing Parkinson's disease diagnosis accuracy through speech signal algorithm modeling
Parkinson's disease (PD), one of whose symptoms is dysphonia, is a prevalent neurodegenerative disease. The use of outdated diagnosis techniques, which yield inaccurate and unreliable results, continues to represent an obstacle in early-stage detection and diagnosis for clinical professionals in the medical field. To solve this issue, the study proposes using machine learning and deep learning
S-shaped and V-shaped gaining-sharing knowledge-based algorithm for feature selection
In machine learning, searching for the optimal feature subset from the original datasets is a very challenging and prominent task. The metaheuristic algorithms are used in finding out the relevant, important features, that enhance the classification accuracy and save the resource time. Most of the algorithms have shown excellent performance in solving feature selection problems. A recently
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