Document Retrieval (DR) is pivotal in unlocking valuable insights from the ever-growing volume of medical literature. However, precise knowledge extraction from complicated clinical notes, discharge summaries, and res...
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The detection of unpredicted events or rare patterns in traffic data plays an important role in intelligence traffic management, that offers alerts of incidents. To address the problem of less accuracy in industrial n...
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Many in computer vision and computational imaging consider Generative Adversarial Networks (GANs) a big advance. Style transfer converts semantic visual content into creative styles. Recently, GANs for style transfer ...
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Requirements elicitation is a crucial process in softwareengineering, which involves identifying and understanding the needs of stakeholders to define system requirements. Several techniques are used for requirements...
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In present days, Multi Label Text Classification (MLTC) has become an important research area in Natural Language Processing (NLP). Existing models of MLTC have been facing domain specificity and fine-tuning challenge...
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This research introduces a new approach to radon detection in homes utilizing Decision Trees (DTs) enabled by the cloud in real-time. High radon levels, a natural radioactive gas, are dangerous to human health. Quick ...
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Sign gestures play a crucial role in communication for the deaf community, emphasizing the need for effective translation systems. Hand gestures convey thoughts more rapidly than other actions, making them essential f...
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In recent years, the combination of deep reinforcement learning and unmanned aerial vehicle (UAV) to achieve autonomous flight has been a hot research field. In this paper, an obstacle avoidance navigation algorithm (...
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This research explores the application of deep learning techniques for soil analysis in precision agriculture, focusing on the classification of soil types using convolutional neural networks (CNNs). The study address...
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computer vision is a promising domain that focuses on emerging approaches, algorithms and technologies to provide computing capability to machine to analysis visual data, such as image files, videos files and real tim...
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