A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen ...

The algorithm relies on two key parameters: grid size and classification threshold. In order to take into account the efficiency and the integrity of the ground retention details, the grid size is set ...

A Python-based city tour planner that finds the shortest route using Greedy, 2-opt, and Simulated Annealing TSP algorithms. Includes time-window filtering, interactive maps, and route plotting.

The predictive model also incorporates an improved fruit fly optimization algorithm (IFOA) in conjunction with support vector machine (SVM) techniques. The actual instances of lost circulation serve ...

Abstract: Imbalanced data remains a challenge in classification research and significantly influences classifier performance. The strategy that is widely used to address this issue is the data-level ...

Advanced optimization algorithms should be used ... Promising results are obtained when our optimizer is applied on classification of Covid-19 images. By using the proposed approach, an accuracy rate ...