Chanthol Eang on Muck Rack

Chanthol Eang

As seen in: MDPI
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Articles

An Integration of Deep Neural Network-Based Extended Kalman Filter (DNN-EKF) Method in Ultra-Wideband (UWB) Localization for Distance Loss Optimization

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By Chanthol Eang, Seungjae Lee
| MDPI
1. Introduction Indoor positioning technologies are essential for determining the location of objects within enclosed spaces, including offices, hospitals, restaurants, and warehouses. These technologies are widely used to track a variety of entities, including people and robots, within buildings, with the primary objective of obtaining accurate spatial information. This information is essential for optimizing processes, improving operational efficiency, and ensuring safety.
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Applied Sciences | Free Full-Text | Improving the Accuracy and Effectiveness of Text Classification Based on the Integration of the Bert Model and a Recurrent Neural Network (RNN_Bert_Based)

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By Chanthol Eang, Seungjae Lee
| MDPI
1. Introduction The goal of text classification in this paper is to enhance user experience in applications such as recommendation systems, chatbots, and virtual assistants. Understanding customer sentiment through accurate text classification helps improve products and services, tailor marketing strategies, and address customer concerns proactively.
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Offloading Decision and Resource Allocation in Mobile Edge Computing for Cost and Latency Efficiencies in Real-Time IoT

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By Chanthol Eang, Seyha Ros, Seungwoo Kang, Inseok Song
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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