LSTM–Transformer-Based Robust Hybrid Deep Learning Model for Financial Time Series Forecasting by Md R. Kabir, Dipayan Bhadra, Moinul Ridoy, Mariofanna Milanova

“…This paper proposes a novel financial time series forecasting model based on the deep learning ensemble model LSTM-mTrans-MLP, which integrates the long short-term memory (LSTM) network, a modified Transformer network, and a multilayered perception (MLP). …”
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Reflective Processes and Social Orientation at Different Stages of Professionalisation (on the Example of Preparation for Medical Activity) by G. V. Manuilov, G. G. Gorelova, E. A. Rylskaya, S. V. Morozova, N. N. Vasyagina

“…Rukavishnikov were employed, taking into account the key provisions of theories concerning personality psychology and social behaviour. Automated neural networks based on the architecture of a multilayer perceptron according to the type of regression analysis and analysis of Kendall’s tau correlation coefficient were used to process the data.Results. …”
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Health IoT Threats: Survey of Risks and Vulnerabilities by Samaneh Madanian, Tserendorj Chinbat, Maduka Subasinghage, David Airehrour, Farkhondeh Hassandoust, Sira Yongchareon

“…According to our analysis, the vulnerabilities in IoT in healthcare are classified into three main layers: perception, network, and application. We comprehensively reviewed IoT privacy and security threats on each layer. …”
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