This study explores the adaptability of a segmentation model, originally trained on pre-operative MRI data, in post-operative recurrent brain tumor segmentation. We utilized the Attention U-Net model for this study. I...
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Autonomous aerial vehicle (AAV) crowdsensing, as a complement to mobile crowdsensing, can provide ubiquitous sensing in extreme environments and has gathered significant attention in recent years. In this article, we ...
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The major cause of plant mortality and devastation, particularly among trees is plant diseases. This problem, however, may be handled and treated effectively through early detection. Crop/plant diseases must be identi...
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Transformer models have shown great success in Natural Language Processing (NLP) tasks, but they come with unique challenges such as the vanishing gradient, unbalanced gradient, and computational costs. To overcome th...
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The IoMT is a device that works with different healthcare systems to help develop networking technologies. It reduces the unnecessary burden of visiting the hospital. Instead, it enables the transfer of medical relate...
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In this paper,we present a Hessian recovery based linear finite element method to simulate the molecular beam epitaxy growth model with slope *** the time discretization,we apply a first-order convex splitting method ...
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In this paper,we present a Hessian recovery based linear finite element method to simulate the molecular beam epitaxy growth model with slope *** the time discretization,we apply a first-order convex splitting method and secondorder Crank-Nicolson *** the space discretization,we utilize the Hessian recovery operator to approximate second-order derivatives of a C^(0)linear finite element function and hence the weak formulation of the fourth-order differential operator can be discretized in the linear finite element *** energy-decay property of our proposed fully discrete schemes is rigorously *** robustness and the optimal-order convergence of the proposed algorithm are numerically *** a large spatial domain for a long period,we simulate coarsening dynamics,where 1/3-power-law is observed.
Proposing a performance testing methodology for vehicle collision warning algorithm at intersections, this approach addresses the issues of the key V2X technology being challenging to simulate with real-scene data in ...
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Beam management,including initial access(IA)and beam tracking,is essential to the millimeter-wave Unmanned Aerial Vehicle(UAV)***,the conventional communicationonly and feedback-based schemes suffer a high delay and l...
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Beam management,including initial access(IA)and beam tracking,is essential to the millimeter-wave Unmanned Aerial Vehicle(UAV)***,the conventional communicationonly and feedback-based schemes suffer a high delay and low accuracy of beam alignment,since they only enable the receiver to passively“hear”the information of the transmitter from the radio *** paper presents a novel sensing-assisted beam management approach,the first solution that fully utilizes the information from the visual domain to improve communication *** employ both integrated sensing and communication and computer vision techniques and design an extended Kalman filtering method for beam tracking and ***,we also propose a novel dual identity association solution to distinguish multiple UAVs in dynamic ***-world experiments and numerical results show that the proposed solution outperforms the conventional methods in IA delay,association accuracy,tracking error,and communication performance.
Evolutionary Computation (EC) often throws away learned knowledge as it is reset for each new problem addressed. Conversely, humans can learn from small-scale problems, retain this knowledge (plus functionality), and ...
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Most real-time computer vision applications heavily rely on Convolutional Neural Network (CNN) based models, for image classification and recognition. Due to the computationally and memory-intensive nature of the CNN ...
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