The most widely grown crop in the nation is paddy. The lack of nutrients and pathogens causes a significant amount of crop loss. The management of diseases is the answer to minimizing this loss. Human experts mostly d...
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Mission critical control systems such as electronics, rail transit, and weapon equipment typically use dual redundant networks to improve communication high availability, which means switching between two networks to ...
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Smart home packages have become more and more standard in nowadays society, giving customers the potential to without problems connect and control various devices within their domestic. Self-sustaining and adaptive co...
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The present and future generations of cellular and mobile communications have increased the demand for wireless communication systems with portable size, low power, low cost along multi-functional design specification...
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The "Automated DSM Insight Analyzer" is a groundbreaking initiative that revolutionizes the analysis of Daily Stand-Up Meetings (DSMs). Leveraging a sophisticated combination of cutting-edge technologies, in...
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The proceedings contain 396 papers. The topics discussed include: development of an IoT enabled smart children tracking and monitoring system using map location services;HMLM: an intelligent artificial intelligence as...
ISBN:
(纸本)9798331543617
The proceedings contain 396 papers. The topics discussed include: development of an IoT enabled smart children tracking and monitoring system using map location services;HMLM: an intelligent artificial intelligence assisted strategy to identify UPI frauds based on hybrid Markov learning methodology;data-driven insights into automotive customer complaints: a machine learning approach to predictive analytics;integrating predictive analytics and deep learning for vehicle safety incident forecasting;analyzing the health status of people in rural areas using machine learning algorithms;machine learning based approach using hand gestures for mouse and video control;experimental analysis of artificial intelligence powered adaptive learning methodology using enhanced deep learning principle;a comprehensive analysis of image processing methods for agricultural product quality control;and convolutional neural network-based multi-fruit classification and quality grading with a Gradio interface.
A dynamic pattern is developed for a multi-channel CLSC (closed-loop supply chain) system to solve the FRC (fuzzy robust control) issue of a multi-channel CLSC. Time-varying delays during product recycling and remanuf...
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In cities, managing street lighting efficiently is vital for enlightening safety, cutting down on energy use, and enhancing resource distribution. This project offers a complete solution that uses modern technology, i...
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The Internet of Things (IoT) has significantly reshaped technological advancements, integrating a wide range of devices into a unified ecosystem. This interconnected network extends across various sectors, from everyd...
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In today's society, the agricultural logistics and transportation industry faces numerous challenges in meeting the demands for fresh produce preservation and efficient transport. Insufficient environmental monito...
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