Titlebook: Smart Trends in Computing and Communications; Proceedings of Smart Tomonobu Senjyu,Chakchai So–In,Amit Joshi Conference proceedings 2024 Th

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Detection of Malnutrition in Children Using Deep Learning Model, and minimizes the long-term consequences of malnutrition, such as stunted growth, impaired cognitive development, and increased vulnerability to diseases. This paper uses ResNet 18 model for identification of malnutrition in children using transfer learning. The contribution of this work includes p

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Multilingual Indian COVID-19 Chatbot,program that simulates human conversation. Chatbots communicate with users via text or voice using natural language. This paper presents the development of a MILIC-19 chatbot to augur user-friendly interfaces for Indians, where there are many official languages. We have integrated the Google Transla

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Blockchain, IoT, and Smart Grids Challenges for Energy Systems, blockchain, IoT, and smart grids, and how they can transform the energy sector by enhancing the security, efficiency, and transparency of energy transactions. We have selected papers from journals based on provided keywords on the theme. One of the main challenges with using blockchain in energy is

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Design of Low Power Booth Multiplier with Enhance Pre-logic Mechanism Using Verilog,w power consumption is a critical requirement for modern electronic devices and designing a low power Booth Radix-4 multiplier has become an important research area. This paper proposes a low-power Booth Radix-4 multiplier with improved design by using pre-logic to generate the enable signal (pre-en

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Novel Statistical Glaucoma Prediction Algorithm Based on Spectral Analysis, glaucoma. The ML models predicting Glaucoma are computationally complex, presence of infrastructure like GPU is of high importance, and sometimes they are also not eco-friendly due to carbon footprints. As a result, the authors of this paper proposed an algorithm which based on spectral analysis wi

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