A research team has developed an artificial intelligence (AI) system that proposes suitable molecular structures from the raw data of spectroscopic measurements and assesses their plausibility. The ...

A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has been developed by researchers from Japan. The method extracts key features ...

Abstract: In this paper, we extend the concept of degree from single vertex to sub-graph, and present a formal definition of module/community in a network based on this extension. A new locally ...

COMP 272 or an equivalent data-structures course. Knowledge and skills in Java, C/C++, or Python programming. Knowledge of high school mathematics (MATH 30 level) is assumed. Course start date: If you ...

Update (2025/11/8): Added descriptions for each lab to make searching specific questions easier. Update (2025/12/3): Polished the repo to make it looks better.

Arid and semiarid regions face challenges such as bushland encroachment and agricultural expansion, especially in Tiaty, Baringo, Kenya. These issues create mixed opportunities for pastoral and ...

This article introduces a model-based design, implementation, deployment, and execution methodology, with tools supporting the systematic composition of algorithms from generic and domain-specific ...

Abstract: SmartSort Visualizer, integrating Data Structures and Algorithms with Java, offers a tool for sorting and algorithm analysis. Users can choose from various algorithms, including Bubble Sort, ...

Data structures and algorithms are the backbone of computer science and mastering them is crucial for any aspiring programmer. Mastering Data Structures and Algorithms (DSA) is essential for anyone ...

Logging causes the fragmentation of areas with direct implications for hydrological processes, landslides, or habitats. The assessment of this fragmentation process plays an important role in the ...