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Titlebook: Communication and Intelligent Systems; Proceedings of ICCIS Harish Sharma,Vivek Shrivastava,Lipo Wang Conference proceedings 2022 The Edito

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An Empirical Examination on Forecasting VN30 Short-Term Uptrend Stocks Using LSTM along with the Iceme are used as the empirical results. This study is conducted in a period of 9 years—from the VN30-Index’s establishment in 2012 to the end of 2020. On average, the adoption of the Ichimoku Cloud features in the LSTM model makes our trading strategy go from an annual loss of 2.86% to a profit of 14.29%.
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Conference proceedings 2022nized by National institute of Technology, Delhi, India, during December 18–19, 2021. This book presents a collection of state-of-the-art research work involving cutting-edge technologies for communication and intelligent systems. Over the past few years, advances in artificial intelligence and mach
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https://doi.org/10.1007/978-1-4302-0788-7t available from the European Space Agency (ESA). The paper proposes the use of the volumetric convolution net (V-Net) architecture in addition to image augmentation methods like horizontal flipping, vertical flipping, and image rotation. The proposed computational pipeline resulted in a net Mean IOU of 88.29 and an accuracy of 90.65%.
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Software Requirements and Designld photo. This technique’s training objectives are based on each extracted feature map independently, making the model controllable and adjustable. Experiments demonstrate that this method can generate high-quality animation graphics from real-world photos and outperforms many existing methods.
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https://doi.org/10.1007/978-1-4615-3020-6taset from both genuine real users and spammers was used for testing. Study indicates that interactive features and community-based features prove good in identifying spam users, far better than metadata-based decisions.
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,A Design of Frequency Encoded Dibit-Based Inhibitor Logic Using Reflective Semiconductor Optical Amconstant in the case of reflection, refraction, absorption, etc. MATLAB (2018a) software has been used to simulate the devised design, and simulated outputs accurately verify the truth table of the inhibitor logic.
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Ocean Surface Pollution Detection: Applicability Analysis of V-Net with Data Augmentation for Oil St available from the European Space Agency (ESA). The paper proposes the use of the volumetric convolution net (V-Net) architecture in addition to image augmentation methods like horizontal flipping, vertical flipping, and image rotation. The proposed computational pipeline resulted in a net Mean IOU of 88.29 and an accuracy of 90.65%.
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