ABSTRACT: This paper proposes a structured data prediction method based on Large Language Models with In-Context Learning (LLM-ICL). The method designs sample selection strategies to choose samples ...

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.

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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: Considering constructional algorithms for solving Traveling Salesman Problem (TSP), the solution process of Nearest Neighbor (NN) is the simplest one, but its performance is the worst. This ...