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11081
Proof-of-Concept of Microwave-Based Bladder State Detection Using Realistic Pelvic Models
Published 2024-01-01“…<italic>Methods:</italic> Studies to date on microwave bladder monitoring have been limited to highly simplified computational and experimental scenarios. In this work, we study the most realistic models to date (both male and female), which incorporate dielectrically and anatomically representative tissues of the pelvic region. …”
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11082
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11083
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11084
Novel GSIP: GAN-based sperm-inspired pixel imputation for robust energy image reconstruction
Published 2025-01-01Get full text
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11085
A Survey of Post-Quantum Cryptography Migration in Vehicles
Published 2025-01-01“…The advent of quantum computers makes asymmetric cryptographic algorithms insecure and vulnerable. …”
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11086
Using Shadow Page Cache to Improve Isolated Drivers Performance
Published 2015-01-01Get full text
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11087
A Joint Network of 3D-2D CNN Feature Hierarchy and Pyramidal Residual Model for Hyperspectral Image Classification
Published 2025-01-01“…The typical 2D-CNN method is unable to capture the discriminant spectral-spatial features due to the massive dimensionality of HSI data as well as potential noise and redundancy, while the 3D-CNN method significantly increases the computational burden of the model. Moreover, the gradient problem of the deeper CNN architecture impedes the convergence performance of the neural network, leading to poor classification accuracy. …”
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11088
Empowering Urdu sentiment analysis: an attention-based stacked CNN-Bi-LSTM DNN with multilingual BERT
Published 2024-11-01Get full text
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11089
Using Depth Cameras for Recognition and Segmentation of Hand Gestures
Published 2021-01-01“…Hand gesture recognition enables human-computer interaction (HCI) system developers to create more immersive, natural, and intuitive experiences and interactions. …”
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11090
A Sarsa(λ)-Based Control Model for Real-Time Traffic Light Coordination
Published 2014-01-01Get full text
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11091
Optimizing biochar yield and composition prediction with ensemble machine learning models for sustainable production
Published 2025-01-01“…Biochar production from organic waste can reduce fossil fuel reliance and combat climate change, but current models are computationally demanding and have limited accuracy. The study creates four machine learning models using multiple linear regression, decision trees, Adaboost regressors, and bagging regressors, trained on a dataset of pyrolysis tests. …”
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11092
Achieving Faster and Smarter Chest X-Ray Classification With Optimized CNNs
Published 2025-01-01“…Finally, model compression through filter pruning, driven by evolutionary algorithms, trims redundant parameters to improve computational efficiency while preserving model accuracy. …”
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11093
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11094
Mobility Crowdsourcing: Toward Zero-Effort Carpooling on Individual Smartphone
Published 2013-02-01Get full text
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11095
ADGAN: Adaptive Domain Medical Image Synthesis Based on Generative Adversarial Networks
Published 2024-12-01Get full text
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11096
How can mathematics be used to improve burn care?
Published 2025-01-01“…This contraction creates stresses on the skin, which can deteriorate the mobility of joints near the burn.This article overviews the most recent research results in computer simulations of scar contraction after burns.…”
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11097
A Modular AI-Driven Intrusion Detection System for Network Traffic Monitoring in Industry 4.0, Using Nvidia Morpheus and Generative Adversarial Networks
Published 2024-12-01“…This paper presents an approach for implementing a generic model of a network-based intrusion detection system for Industry 4.0 by integrating the computational advantages of the Nvidia Morpheus open-source AI framework. …”
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11098
Source Code Error Understanding Using BERT for Multi-Label Classification
Published 2025-01-01“…Programming is an essential skill in computer science and across a wide range of engineering disciplines. …”
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11100
Forecasting of Global Ionosphere Maps With Multi‐Day Lead Time Using Transformer‐Based Neural Networks
Published 2024-02-01“…A full understanding of physical and chemical principles, available and well‐representable driving inputs, and capable computational power are required for physical models to reproduce simulations that agree with observations, which may be challenging at times. …”
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