The third major pathway to achieving computational expansion during the reasoning phase is the actual adoption of some search technique during the reasoning process.This means that reasoning is no ...

The core of this research lies in addressing the 'verbosity' problem that existing visual language models face when processing image information. Traditional AI systems, such as the visual version of ...

ABSTRACT: To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space ...

Banach spaces, as complete normed vector spaces, form a central framework in modern functional analysis. Their rich geometric structure underpins much of the theoretical development in approximation ...

Abstract: The Steiner Forest Problem is a fundamental combinatorial optimization problem in operations research and computer science. Given an undirected graph with non-negative weights for edges and ...

In this paper, we focus on the multi-objective stochastic multiple knapsack problem, in which the object weights are random. We propose a new approach called the multi-objective memetic algorithm with ...

It has been proven that robot-assisted rehabilitation training can effectively promote the recovery of upper-limb motor function in post-stroke patients. Increasing patients’ active participation by ...

Abstract: An iterated greedy algorithm (IGA) is a simple and powerful heuristic algorithm. It is widely used to solve flow-shop scheduling problems (FSPs), an important branch of production scheduling ...

Implementation of various Data Structures and algorithms - Linked List, Stacks, Queues, Binary Search Tree, AVL tree,Red Black Trees, Trie, Graph Algorithms, Sorting Algorithms, Greedy Algorithms, ...