The artificial neural network (ANN), one of the machine learning (ML) algorithms, inspired by the human brain system, was developed by connecting layers with artificial neurons …
The prediction of stock groups values has always been attractive and challenging for shareholders due to its inherent dynamics, non-linearity, and complex nature. This paper …
Y Liu, X Tan, J Liang, H Han, P Xiang… - Advanced Functional …, 2023 - Wiley Online Library
Data‐driven epoch, the development of machine learning (ML) in materials and device design is an irreversible trend. Its ability and efficiency to handle nonlinear and game …
JG Lee, S Jun, YW Cho, H Lee… - Korean journal of …, 2017 - synapse.koreamed.org
The artificial neural network (ANN)–a machine learning technique inspired by the human neuronal synapse system–was introduced in the 1950s. However, the ANN was previously …
WM Lim - Journal of business research, 2018 - Elsevier
This article adopts an integrated knowledge inquiry approach and systematically reviews (through content analysis) and draws themes (through thematic analysis) to explain the …
The proliferation of user-generated content on social media has made opinion mining an arduous job. As a microblogging platform, Twitter is being used to collect views about …
Skin cancer is an emerging global health problem with 123,000 melanoma and 3,000,000 non-melanoma cases worldwide each year. The recent studies have reported excessive …
C Chen, W He, H Zhou, Y Xue, M Zhu - Scientific reports, 2020 - nature.com
Groundwater is unique resource for agriculture, domestic use, industry and environment in the Heihe River Basin, northwestern China. Numerical models are effective approaches to …