An Effective Methodology for Scoring to Assist Emergency Physicians in Identifying Overcrowding in an Academic Emergency Department in Thailand Emergency Department (ED) overcrowding is re...
25 Mar 2024
We are excited to announce an upcoming seminar on "AI, Wireless Communication, and Applications" by renowned expert, Professor Dr. Manoj Gupta, from the School of Computer Science and Engineering a...
24 Jul 2023
We are pleased to announce the successful publication of the collaborative research between Kristiania University and the Embedded System and Computational Science lab in the prestigious Sensors Jo...
30 Jun 2023
Sensors the Special Issue "Smart Healthcare in the Internet of Things: Recent Developments in a Pandemic Age"Prof. Dr. Arnab Majumdar from Imperial College London, Dr. Wen-Te Liu Taipei Medical...
21 Mar 2023
The new research was published in Mdpi Life, The research develop an automatic TB detection system to assist the pulmonologist in confirming the severity of the disease, decision-making, and treatm...
11 Nov 2022
ESCS would like to welcome Professor Yoshihide Sekimoto from the Institute of Industrial ScienceThe University of Tokyo.
05 Oct 2022
The goal of our Embedded System and Computational Science Lab is to acquire knowledge through fundamental research and make new discoveries in the field of machine learning that can support multidisciplinary innovation.
In our Lab, Medical research is the process of studying different factors in human health and finding solutions for challenges in healthcare, MRI, X-ray were analyzed to find some significant issues and tests are just some of the diagnostic tools available to help detect certain injuries and diseases.
Healthcare mobile application development is one of our mission for building an app for mobile devices to help its users successfully submit and follow their health issues in real-time. We focused on application development, application content, UX UI.
Our research in the IoT enables healthcare professionals to be more watchful and connect with the patients proactively. Data collected from IoT devices can help physicians identify the best treatment process for patients and reach the expected outcomes.
Our research in the life sciences comprises the branches of science that involve the scientific study of life, includes engineering, knowledge management and innovation designs.
