The recognition of secure data transmission in a cloud platform requires the integrity of sensitive information with higher confidentiality. This is obtained using the aid of deep learning techniques. The robustness o...
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Abnormal reproduction of cancerous cell growths in the lungs leads to highly fatal lung cancer. Early detection is essential for reducing death rates of lung cancer. New research has shown that machine learning algori...
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The classification of Indian poetry extends to various genres reflecting the rich cultural heritage and linguistic diversity. In this paper we are classifying the Assamese poems according to their sentiments and imple...
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This paper presents an AI-driven framework for multi-objective Virtual Network Function (VNF) profiling, utilizing deep reinforcement learning (DRL) to optimize key resources such as CPU, memory (MEM), and link capaci...
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In precision agriculture, crop recommendation systems play a crucial role in enhancing crop productivity. This research paper proposes a machine learning-based crop recommendation system that leverages climatic variab...
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Current outlier detection methods exhibit many limitations in high-dimensional settings. Traditional statistical approaches rely on strong assumptions and lack practicality and generality. Meanwhile, despite the bette...
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The research on the reform paradigm of crane hydraulic system experimental instruction based on AMESim seeks to investigate how to optimize the conventional crane hydraulic experimental teaching through simulation tec...
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This research paper introduces a novel approach that leverages machine learning and natural language processing (NLP) techniques to detect emotions in text. The proposed system includes a Google Chrome extension that ...
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In the current age of information saturation, where headlines serve as primary points of engagement, the pervasive use of sarcasm in news headlines poses a challenge for readers' comprehension, failing to discern ...
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The rapid development of the Internet of Things and big data has brought about massive amounts of data and the need for real-time responses, which traditional computing models can no longer meet. Edge computing comes ...
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