Very few executives understand the range of digital business models or how the models work. They also don’t understand the range of enabling algorithms or how they work. They therefore cannot ...

This repository contains a set of exercises designed to enhance your algorithmic skills using the Python Turtle library. The exercises involve drawing various geometric patterns. Each exercise ...

This repository contains my solutions to the exercises in the book Grokking Algorithms by Aditya Bhargava. The book is a friendly introduction to the most essential algorithms in computer science, ...

Interdisciplinary studies involving the visual system, computational models and computer vison, show great potential in promoting the joint development of these fields. The achievements and knowledge ...

The Research Topic on “Integrating Visual System Mechanisms, Computational Models and Algorithms/Technologies” collects novel studies that display a strong synergy between three entities: (1) the ...

Scheduling problem is worldwide known as NP-hard problem, meaning problem can be solved by conventional linear methods, but with immense time consumption. Numerous methods were introduced to solve ...

The field of remote sensing image applications is experiencing unprecedented attention, particularly with the emerging rise of visual question answering (VQA) tasks for remote sensing images. However, ...

Modern vision models are trained on very large noisy datasets. While these models acquire strong capabilities, they may not follow the user’s intent to output the desired results in certain aspects, e ...

Summary: A new machine learning algorithm can predict the in-game actions of volleyball players with 80% accuracy. Source: Cornell University Algorithms developed in Cornell’s Laboratory for ...