Abstract: An adaptive k-nearest neighbor algorithm (AdaNN) is brought forward in this paper to overcome the limitation of the traditional k-nearest neighbor algorithm (kNN) which usually identifies ...

The original version of this story appeared in Quanta Magazine. Computer scientists often deal with abstract problems that are hard to comprehend, but an exciting new algorithm matters to anyone who ...

Abstract: Nearest Insertion Algorithm is heuristic algorithm which has been proven a successful technique applied on number of combinatorial optimization problems. Nearest Neighbor Insertion Algorithm ...

Scientists in Iraq used a k-Nearest Neighbors algorithm to evaluate the operational status of PV modules under various conditions, including partial shading, open circuit, and short circuit scenarios.

Solving the traveling salesman problem using the Gurobi Solver, the farthest insertion algorithm, the nearest neighbor algorithm and, finally, using the 2-opt optimization method. Algorithmic ...

Algorithms have taken on an almost mythical significance in the modern world. They determine what you see on social media and when browsing online, help form people’s belief systems, and impact the ...

Course project: Synthesis and analysis of algorithms (SAA) Insertion Sort Algorithm Visualizer is a simple desktop application that visualizes the insertion sort algorithm. You can easily and quickly ...

ABSTRACT: Aiming at the shortcomings of the existing indoor location algorithm, such as low accuracy of positioning, high deployment and maintenance cost, and unstable robustness, this paper proposes ...