Abstract: Learning 3-D structures from incomplete point clouds with extreme sparsity and random distributions is a challenge since it is difficult to infer topological connectivity and structural ...

Bryon Ward, a developer leading the landside renovation of Dana Point Harbor’s nearly $600 million remodel, enthusiastically walked across the top deck of the new three-level parking structure, ...

Abstract: Discovering clusters remains challenging when dealing with complex data structures, including those with varying densities, arbitrary shapes, weak separability, or the presence of noise. In ...

Vibhas is a Software Development Manager at Amazon with over 12 years of industry experience in large scale distributed systems, databases and cloud native applications. Vibhas is a Software ...

State Key Laboratory of Coal Conversion, Institute of Coal Chemistry, Chinese Academy of Sciences, Taiyuan, Shanxi 030001, People’s Republic of China National Energy Center for Coal to Liquids, ...

New research from the Data Provenance Initiative has found a dramatic drop in content made available to the collections used to build artificial intelligence. By Kevin Roose Reporting from San ...

Each data structure module will contain descriptions and examples. To help illustrate each data structure, we will be demonstrating the principles as they relates to a music streaming platform, such ...

A filesystem is a fundamental component of any operating system. It is the system that manages how data is stored and retrieved on a storage device. In the world of Linux, filesystems play a crucial ...

Data structures and algorithms are crucial for efficient problem-solving in computer science, enabling effective data organization and manipulation for fast, reliable software. Learning them enhances ...