Artificial intelligence methods

The paper will present the design of techniques for building an application for testing and evaluating knowledge in the Data Structures and Algorithms course. This application will be a useful tool for both instructors and students, thereby enhancing the quality of teaching and learning in Information Technology-related subjects.

10p viling 11-10-2024 4 1   Download

In this paper, we build a quadcopter for target tracking by integrating a embedded computer Raspberry Pi (RPI) with a Pixhawk flight controller. This article also proposes a lightweight Tracking algorithm that can be deployed on Raspberry Pi, this algorithm harnesses advanced image processing and computing capabilities to significantly enhance target tracking performance, thereby reducing the need for human intervention control in unmanned flights.

9p viengfa 28-10-2024 4 3   Download

Computing matrices is a crucial and prevalent topic in the field of data processing and artificial intelligence. One of the significant and effective methods for matrix manipulation is Singular Value Decomposition (SVD). Based on matrix computations using SVD, we can perform various complex operations such as dimensionality reduction, hidden information detection, optimization, and many other applications.

9p viprimi 16-12-2024 4 1   Download

The thesis aims to propose the Heuristic method algorithm applied to the problem of power grid restructuring with the objective of reducing power loss in case of having / without distributed power source connecting to the distribution grid. Study the effect of distributed power source when connecting to the distribution grid, affecting the power grid restructuring problem.

27p xacxuoc4321 11-07-2019 29 2   Download

(BQ) This paper reports an intelligent approach for process modeling and optimization of electric discharge machining (EDM). Physics based process modeling using finite element method (FEM) has been integrated with the soft computing techniques like artificial neural networks (ANN) and genetic algorithm (GA) to improve prediction accuracy of the model with less dependency on the experimental data.

13p xuanphuongdhts 27-03-2017 59 2   Download

The Hybrid Artificial Intelligent model is a new method for evaluation of food biotechnology based on collaborative expert preferences and customer behaviours.
This new approach using Kansei evaluation is to quantify expert sensibilities and emotions about bio-food quality in market and biofood research environments.
Further improvement of food biotechnology evaluation applying for a real case study with expert feedbacks can be considered in future studies.

5p lalala06 02-12-2015 44 3   Download