Every year, the NCAA Selection Committee faces the monumental task of seeding the NCAA Tournament, a decision heavily influenced by complex ranking systems. But what exactly are these systems, and how ...

Distance is possible, and often desirable, but nothing is ever exactly the same in a prepared course. The real thing comes ...

Nam, D.T. (2026) Research on the Selection of Master’s Thesis Topics for Vietnamese Chinese Language Majors—A Case Study of Vietnam National University, Hanoi . Open Access Library Journal, 13, 1-9.

Humans have the remarkable ability to remember the same person or object in completely different situations. We can easily ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Abstract: Artificial neural network (ANN) models are widely used in various fields such as image classification, multi-object detection, intent prediction, military applications, and natural language ...

Turn and talk with sentence stems: Give sentence starters at multiple levels: “Multiplication is…” for some students, and ...

Aim: Specific, Measurable, Achievable, Realistic, Time-bound (SMART) goals are commonly used in educational settings as a strategy to optimise learning. However, research and theory suggest that such ...

Despite the unique ideological and political advantages of the “Aircraft Power Supply System” course, there are still some deep-seated problems that urgently need to be solved in the current teaching ...

For a minimal example of how to use the environment framework, refer to examples/simple-calculator. For the environment and training data used in our paper, see ...

Abstract: The rise of e-commerce demands greater efficiency in warehouses, requiring dynamic task allocation among humans and robots. Traditional methods often fail in such complex environments. This ...

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.