Web applications have become essential tools for communication, commerce, and information dissemination in an era where the internet is pivotal in our daily lives. However, as the digital landscape continues to evolve...
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The antique adage "seeing is believing"is simply no longer actual, which has profound implications for a ramification of sides of our lives. Deepfakes are becoming less complicated and simpler to create as t...
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As an important model of machine learning, Bayesian networks are widely applied into medical diagnosis and achieve good performances in practical applications. Compared to black-box models, Bayesian networks can clear...
ISBN:
(纸本)9798400708831
As an important model of machine learning, Bayesian networks are widely applied into medical diagnosis and achieve good performances in practical applications. Compared to black-box models, Bayesian networks can clearly show the dependent relations of random variables and the classification results are explainable. So, in this paper, we use Bayesian networks to evaluate the risk of breast cancer according to the Original Wisconsin Breast Cancer Database and also compare the impacts of different structure learning algorithms on the accuracy in the experiments. Experimental results show that Bayesian networks can effectively evaluate the risk of breast cancer and achieve good performances.
Research into disaster relief is a field with a lot of potential, and predictions made about its future are based on historical data. It is a difficult task to analyze the long-term consequences of a disaster. Governm...
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We present a no-reference image-quality - assessment algorithm based on active reasoning module. This algorithm has three modules: the feature extraction module, the active reasoning module, and the quality assessment...
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In this paper, a multiband miniaturized crescent-shaped patch antenna with circular slots is presented for ultra-wideband applications. The proposed antenna is constructed on a Flame Retardant 4 (FR-4) dielectric subs...
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This paper introduces a secure authentication framework by applying Mutual Authentication Coupled with Optimised AES (Advanced Encryption Standard) Encryption to improve the security of the multi-server environment. B...
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Epilepsy is considered a complex neurological condition that causes the central nervous system to malfunction, which results in seizures. Therefore, in-depth identification of the condition with high accuracy is requi...
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作者：
Baowei WangWen YouSchool of Computer
Nanjing University of Information Science and TechnologyCollaborative Innovation Center of Jiangsu Atmospheric Environment and Equipment TechnologyDigital Forensics Engineering Research Center of Digital Forensics Ministry of EducationNanjing210044China School of Software
Nanjing University of Information Science and TechnologyNanjing210044China
As computer graphics technology continues to advance,Collision Detection(CD)has emerged as a critical element in fields such as virtual reality,computer graphics,and interactive *** is indispensable for ensuring the f...
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As computer graphics technology continues to advance,Collision Detection(CD)has emerged as a critical element in fields such as virtual reality,computer graphics,and interactive *** is indispensable for ensuring the fidelity of physical interactions and the realism of virtual environments,particularly within complex scenarios like virtual assembly,where both high precision and real-time responsiveness are *** ongoing developments,current CD techniques often fall short in meeting these stringent requirements,resulting in inefficiencies and inaccuracies that impede the overall performance of virtual assembly *** address these limitations,this study introduces a novel algorithm that leverages the capabilities of a Backpropagation Neural Network(BPNN)to optimize the structural composition of the Hybrid Bounding Volume Tree(HBVT).Through this optimization,the research proposes a refined Hybrid Hierarchical Bounding Box(HHBB)framework,which is specifically designed to enhance the computational efficiency and precision of CD *** HHBB framework strategically reduces the complexity of collision detection computations,thereby enabling more rapid and accurate responses to collision *** experimental validation within virtual assembly environments reveals that the proposed algorithm markedly improves the performance of CD,particularly in handling complex *** optimized HBVT architecture not only accelerates the speed of collision detection but also significantly diminishes error rates,presenting a robust and scalable solution for real-time applications in intricate virtual *** findings suggest that the proposed approach offers a substantial advancement in CD technology,with broad implications for its application in virtual reality,computer graphics,and related fields.
In recent years, Large Language Models (LLMs) have made significant strides towards Artificial General Intelligence. However, training these models from scratch requires substantial computational resources and vast am...
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