Zhengfang He^1,2,*, Cristina E. Dumdumaya², Ivy Kim D. Machica²

Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 639-654, 2023, DOI:10.32604/iasc.2023.035352

Abstract Sentiment analysis, commonly called opinion mining or emotion artificial intelligence (AI), employs biometrics, computational linguistics, natural language processing, and text analysis to systematically identify, extract, measure, and investigate affective states and subjective data. Sentiment analysis algorithms include emotion lexicon, traditional machine learning, and deep learning. In the text sentiment analysis algorithm based on a neural network, multi-layer Bi-directional long short-term memory (LSTM) is widely used, but the parameter amount of this model is too huge. Hence, this paper proposes a Bi-directional LSTM with a trapezoidal structure model. The design of the trapezoidal structure is derived from classic neural networks, such… More >

Waris Ali¹, Asif Ali Shaikh¹, Feroz Shah¹, Sajjad Hussain^2,3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.1, pp. 255-268, 2022, DOI:10.32604/cmes.2022.017313

Abstract A novel trapezoidal design for storage of heat energy through melting of phase-change material (PCM) is investigated. Latent heat thermal energy storage system (LHTES) is a promising option to diminish mis-match between energy consumption and supply. For this purpose, Paraffin: Rubitherm-35 (RT35) material is successively melted in aluminum structure which is heated from one side and the other sides are kept adiabatic. Melting of PCM is observed experimentally and melt fronts are photographed for various time lengths. The fluid-solid module in COMSOL Multiphysics 5.4 has been utilized. The transient heat conduction with enthalpy function is hired. Simulations are carried out… More >