Deep Convolutional Neural Networks (DCNNs) have made tremendous advances in healthcare, but their limited perceptual capacities make it difficult to capture extensive structural details. To solve this restriction, thi...
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This research introduces an innovative method for the real-time identification of bacterial blight in rice crops via remote sensing and deep learning (DL) technologies. Bacterial blight represents a significant threat...
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To investigate the electromyographic (EMG) information contained in the initial stage of finger movements, first, surface EMG signals were collected using an sEMG acquisition device. The raw data underwent preprocessi...
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In the era of artificial intelligence, the integration of AI technology into network security has transformed how threats are detected and *** paper explores the application of AI in maintaining network security, with...
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This paper proposes a comprehensive approach that combines big data analysis techniques with mathematical models for design optimization and health monitoring in civil and structural engineering. The study collects re...
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technology such as machine learning in healthcare has pushed privacy concerns to the point that the handling of sensitive patient data has become paramount. In the context of FL, predictive analytics without data shar...
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In recent years, the rapid development of Electric Vehicles has been used worldwide to sustain the environment and to reduce dependency on fuel. These cars have batteries which can last up to 10-20 years. With the eno...
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Detection of bone fractures is part and parcel of clinical diagnosis, previously relied on radiological interpretation of X-ray or CT scans. However, manually reviewed system involves human intervention and it is vuln...
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the growth of wireless sensor networks has transformed all automation and industrial systems. Nonetheless, guaranteeing safe and privacy-preserving connectivity in sensor networks continues to be a difficult task. Cur...
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The impediments with 6G network construction have encouraged the activity of Machine Learning Resource Allocation Algorithms (MLRA). In terms of flexibility and ability utilisation., MLRA outperforms more normal algor...
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