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Cone-beam computed tomographic investigation of the association between impacted mandibular third molars and the development of distal caries in adjacent second molars in a Chinese...
Published 2024-12-01“…The impaction patterns of the mandibular third molars were recorded using Winter's classification and Pell and Gregory's classification. …”
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Adult education and training for the development of problem-solving skills
Published 2023-06-01Get full text
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Complex Behavior in a Discrete Coupled Logistic Model for the Symbiotic Interaction of Two Species
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Beyond-local neural information processing in neuronal networks
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Quantum-enhanced intelligent system for personalized adaptive radiotherapy dose estimation
Published 2025-06-01“…Quantum-enhanced Monte Carlo simulations, employing algorithms such as Harrow-Hassidim-Lloyd (HHL) and Variational Quantum Eigensolver (VQE), achieve computational speedups of 8–15 times compared to classical methods while maintaining high accuracy. …”
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Fibroblast activation protein inhibitor (FAPI)-negative huge renal cell carcinoma demonstrating an intriguing pattern on [99mTc]Tc-FAPI-46 scintigraphy
Published 2025-08-01“…A contrast-enhanced computed tomography (CT) scan revealed a huge abdominal mass with areas of necrosis and calcification. [99mTc]Tc-FAPI-46 scintigraphy showed photopenic areas and accumulation in a compressed gallbladder, showing an intriguing pattern. …”
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ADPO: Adaptive DRAM Controller for Performance Optimization
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A Temporal Attention-Based SARIMA-BiLSTM Residual Learning Model Tuned by Grey Wolf Optimizer for Parallel Urban Traffic Forecasting
Published 2025-01-01“…Furthermore, the entire pipeline is adapted for parallel execution to improve scalability and reduce computational latency, enabling faster processing of large-scale traffic data. …”
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Lightweight Deep Learning Model for Fire Classification in Tunnels
Published 2025-02-01“…Deployment optimizations, such as quantization and layer fusion, ensure computational efficiency, achieving an average inference time of 12ms/frame, making it suitable for resource-constrained environments like IoT and edge devices. …”
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Metering Automation System 3.0 Base Version Based on Machine Learning
Published 2025-01-01“…However, traditional machine learning methods and standalone deep learning architectures struggle to balance spatiotemporal feature extraction, computational efficiency, and deployment constraints for high-frequency multivariate metering data. …”
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Mixed photonic/electronic neural network based on microLED arrays
Published 2025-01-01“…Activations are represented by patterns of incoherent light generated by microLED arrays. …”
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Medical Diagnostic Systems Using Artificial Intelligence (AI) Algorithms: Principles and Perspectives
Published 2020-01-01Get full text
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