During the penetration process of hypersonic glide vehicles (HGV), the maneuvering forms are varied, which brings some challenges for tracking them, such as difficulty in the stable matching of single ...

Abstract: This letter presents Open-Structure, a novel benchmark dataset for evaluating visual odometry and SLAM methods. Compared to existing public datasets that primarily offer raw images, ...

A2Z/ ├── Problems/ # Solved problems organized by difficulty │ ├── Easy/ # Easy level problems │ ├── Medium/ # Medium level problems │ └── Hard/ # Hard level problems │ ├── DataStructures/ # Core data ...

Structure Therapeutics’ stock soared toward an 18-month high in early Monday trading, after mid-stage data for its oral daily GLP-1 receptor appeared comparable to that of one of Eli Lilly’s ...

A deal to prevent a US TikTok ban is now in place. The app’s algorithm will be copied, overseen by Oracle, and retrained using only American user data. This new, separate system addresses national ...

Abstract: Data stream mining is a research area that has grown enormously in recent years. The main challenge is extracting knowledge in real-time from a possibly unbounded data stream. Clustering, a ...

Welcome to the Data Structures and Algorithms Repository! My aim for this project is to serve as a comprehensive collection of problems and solutions implemented in Python, aimed at mastering ...

In his 1960 book Theory and Design in the First Machine Age, the critic and historian Reyner Banham presciently noted a growing chasm between technological change and the capacity of designers to ...

1 School of Geosciences and Info-Physics, Central South University, Changsha, Hunan, China 2 Institute of Resources and Environmental Engineering, Guizhou Institute of Technology, Guiyang, Guizhou, ...

AI is transforming industries at an unprecedented pace. From life sciences and financial services to automotive and manufacturing, enterprises are racing to integrate AI into their operations. However ...

The original version of this story appeared in Quanta Magazine. Computer scientists often deal with abstract problems that are hard to comprehend, but an exciting new algorithm matters to anyone who ...

The use of machine learning algorithms to identify characteristics in Distributed Denial of Service (DDoS) attacks has emerged as a powerful approach in cybersecurity. DDoS attacks, which aim to ...