This study introduces a method for efficiently detecting objects within 3D point clouds using convolutional neural networks (CNNs). Our approach adopts a unique feature-centric voting mechanism to construct convolutional layers that capitalize on the typical sparsity observed in input data. We explo...

This paper presents an ensemble approach for Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) that integrates AlexNet, Support Vector Machine (SVM), and template matching through majority voting to improve classification accuracy under various operating conditions. The study utilize...

In Dempster-Shafer evidence theory (DST), the determination of basic belief assignment (BBA) is an important yet challenging issue before the evidence fusion. The rational mass determination of compound focal elements is crucial for fully taking advantage of DST, i.e., the ability to represent the a...

In the era of digital transformation, enterprise web applications have become indispensable tools for business operations, necessitating the efficient and reliable management of vast amounts of data. Data persistence is critical to ensure consistency, security, and scalability, especially in complex...

With the increasing incidents of fatal road injuries, there is an urgent need for developing effective road safety management systems. The study aims to develop predictive models based on machine learning to forecast the likelihood of road collisions depending on factors like weather, road condition...

Smart Environment is rapidly growing with the inclusion of Artificial Intelligence of Things (AIoT) when it connects to future communication and social media networks. Security and privacy are significant challenges, including data integrity, account hijacking, cybersecurity, and cyberbullying. To m...

In alignment with the objective of integrating ideological and political education within curricula, this study uses the "Information Security" course as a model to illustrate the approach of embedding core ideologies pertinent to the forefront of international scientific application, national key n...

In the post-COVID-19 era, the education of Communist Party of China members among college students continues to face evolving challenges and opportunities. This paper examines the sustained integration of the Internet with Party member education in colleges as a means to maintain flexibility, enrich...

This research presents a novel 3D fire escape educational system for children, addressing the urgent need for more engaging and interactive fire safety training methods. Traditional approaches to fire safety education fall short in capturing the attention of primary and middle school students, who a...

Recently, the primary reason for blindness in adults has been diabetic retinopathy (DR) disease. Therefore, there is an increasing demand for a real-time efficient classification and detection system for diabetic retinopathy (DR) to overcome fast-growing disease (DR). We introduced a novel deep hybr...