The lastest update : 22 June 2025 11:30 am
| Data From CMU MIS | |
|---|---|
| 2566 | A Zero-Shot Interpretable Framework for Sentiment Polarity Extraction |
| 2566 | SETAR: Stacking Ensemble Learning for Thai Sentiment Analysis Using RoBERTa and Hybrid Feature Representation |
| 2566 | Virtual machines (VMs) are used extensively in the cloud. The underlying hypervisors allow hardware resources to be split into multiple virtual units which enables server consolidation, fault containment, and resource management. However, VMs with traditional architecture introduce heavy overhead and reduce application performance. Containers are becoming popular options for running applications, yet such a solution raises security concerns due to weaker isolation than VMs. We are at the point of container and traditional virtualization convergence where lightweight hypervisors are implemented and integrated into the container ecosystem to maximize the benefits of VM isolation and container performance. However, there has been no comprehensive comparison among different convergence architectures. To identify limitations and best-fit use cases, we investigate the characteristics of Docker, Kata, gVisor, Firecracker, and QEMU/KVM by measuring the performance of disk storage, main memory, |
| 2563 | Advances in Intelligent Systems and Computing |
| 2562 | Sentiment Analytics based on Online-User Content for Tourism Services using Web crawling and Machine-Learning |
| 2554 | การสร้างระบบรวบรวมและกระจายข้อมูล ข่าวสารสำหรับบุคคลากร วิทยาลัยศิลปะ สื่อ และเทคโนโลยี |
The lastest update : 22 June 2025 10:52 am
| Scopus | |
|---|---|
| 2024-01-01 | A Zero-Shot Interpretable Framework for Sentiment Polarity Extraction |
| 2023-07-01 | The Convergence of Container and Traditional Virtualization: Strengths and Limitations |
| 2023-01-01 | An Improvement of Data Flow for Business Intelligence: Royal Project Foundation Case Study |
| 2023-01-01 | SETAR: Stacking Ensemble Learning for Thai Sentiment Analysis Using RoBERTa and Hybrid Feature Representation |
| 2023-01-01 | Data System Architecture: Royal Project Foundation Case Study |
| 2022-01-01 | Data Ingestion for Data-Driven Service Platform: Royal Project Foundation Case Study |
| 2022-01-01 | Data Architecture for Data-Driven Service Platform: Royal Project Foundation Case Study |
| 2022-01-01 | Data Service Platform for Social and Community to Drive the Royal Project Foundation |
| 2021-03-03 | Scalability and Robustness Testing for Open Source Web Crawlers |
| 2021-03-03 | A Performance Comparison of Supervised Classifiers and Deep-learning Approaches for Predicting Toxicity in Thai Tweets |
| 2021-03-03 | A Real-Time Bus Arrival Time Prediction System Based on Spark Framework and Machine Learning Approaches: A case study in Chiang Mai |
| 2021-01-01 | A Comparison of Thai Sentence Boundary Detection Approaches Using Online Product Review Data |
| 2021-01-01 | Comparative Performance Study of Lightweight Hypervisors Used in Container Environment |
| 2020-03-01 | A Conceptual Framework for Bus Arrival Prediction Based on Spark Framework and Machine Learning Approaches |
| 2020-03-01 | A Comparison of Open Source Web Crawlers for E-Commerce Websites |
| 2019-08-01 | A design and implementation of performance dashboard for the work integrated learning unit |
| 2017-05-01 | Effects of integrating a mobile game-based learning framework in a cultural tourism setting |
| 2016-10-20 | Overview of personalized Travel Recommendation Systems |
| 2015-10-30 | A decision tree based recommendation system for tourists |
The lastest update : 22 June 2025 11:28 am
| ข้อมูลจาก CMU MIS | |
|---|---|
| 2564 | Developing a Dynamic Digital Twin for Sustainable Smart Campus Management Co-Investigator |
| 2563 | A Development of an Interactive Sentimental Analysis System from Online User Comments based on Machine Learning and Deep-Learning Approaches: A Case Study in Thai Cosmetic, Food and Health Products. (Phase II) Principal Investigator |
| 2563 | A Development of an Interactive Sentimental Analysis System from Online User Comments based on Machine-Learning and Deep-Learning Approaches: A Case Study in Thai Cosmetic, Food and Health Products (Phase 1) Principal Investigator |
| 2562 | A development of emergency assessment system for a creation of effective notification guideline of emergency patient management through mobile devices Co-Investigator |
| 2555 | CAMT Java Grade Calculation System Principal Investigator |
| 2554 | CAMT Java News Aggregator Principal Investigator |
The lastest update : 22 June 2025 11:28 am
| Data From CMU MIS |
|---|
| ข้อมูลปีการศึกษา 2567 | |||
|---|---|---|---|
| 953102 | ADT & PROBLEM SOLVING | ||
| 953212 | DB SYS & DB SYS DESIGN | ||
| 953482 | NLP FOR SOFTWARE ENGINEERING | ||
| 953491 | COOPERATIVE EDUCATION | ||
| 953499 | SE PROJECT | ||
| 953773 | AI TECHNIQUES IN SE | ||
| 961792 | SELECT TOPIC IN APP DATA SCI 2 |