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Titlebook: Computational Intelligence in Communications and Business Analytics; 5th International Co Kousik Dasgupta,Somnath Mukhopadhyay,Paramartha D

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Zoe-Charis Belenioti,Chris A. Vassiliadiss relatively more predictable during the Pre-COVID-19 phase. The outcome of explainable AI analysis using Shapley additive explanations (SHAP) and accumulated local effect (ALE) plots indicates the past information of CBOE VIX exerts significant predictive influence, which largely explains the varia
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Alžbeta Kiráľová,Iveta Hamarnehlogy datasets have the potential to transform the field of medical research. By feeding a histopathology dataset into a deep-learning framework, researchers can rapidly and precisely classify patterns in the data that would otherwise be difficult or impossible to detect. It could lead to faster diag
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1865-0929 and Business Analytics, CICBA 2023, held in Kalyani, India, during January 27–28, 2023..The 52 full papers presented in this volume were carefully reviewed and selected from 187 submissions. The papers present recent research on intersection of computational intelligence, communications, and busine
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https://doi.org/10.1007/978-3-319-93121-0cy of different methods used by the researchers for these components with the aim to understand the state-of-the-art architecture. A comparative analysis of their advantages, disadvantages, and performance accuracy is reported.
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https://doi.org/10.1007/978-3-319-56288-9haracteristic of partially shaded PV module. Thereby, this reduces power conversion efficiency of PV module under partial shading condition. In the context, Grey Wolf Optimization (GWO) based MPPT method is proposed to maximize charging power of battery. This facilitates efficient and rapid charging action of battery bank in EV application.
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I. Antoniadis,I. Koukoulis,P. Serdarist among them. The LSTM is trained with our self-trained dictionary having tokens. The image features and single character are merged into a single step. It produces the output as the next character to come and so on.
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