ABSTRACT: The objective of this work is to determine the true owner of a land—public or private—in the region of Kumasi (Ghana). For this purpose, we applied different machine learning methods to the ...

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 ...

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Add a description, image, and links to the nearest-neighbour-algorithm topic page so that developers can more easily learn about it.

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 ...

In wireless sensor networks, the missing of sensor data is inevitable due to the inherent characteristic of wireless sensor networks, and it causes many difficulties in various applications. To solve ...