A5008082871- Multi-Criteria Decision Making
- Fuzzy Logic and Control Systems
- Optimization and Mathematical Programming
- Fuzzy Systems and Optimization
- Rough Sets and Fuzzy Logic
- Advanced Clustering Algorithms Research
- Energy Efficient Wireless Sensor Networks
- Data Management and Algorithms
- Image Retrieval and Classification Techniques
- Face and Expression Recognition
- Dental Radiography and Imaging
- Mobile Ad Hoc Networks
- IoT and Edge/Fog Computing
- Fuzzy and Soft Set Theory
- Recommender Systems and Techniques
- Remote-Sensing Image Classification
- Data Mining Algorithms and Applications
- Research studies in Vietnam
- Opportunistic and Delay-Tolerant Networks
- Municipal Solid Waste Management
- Retinal Imaging and Analysis
- Artificial Intelligence in Healthcare
- Cognitive Science and Mapping
- Human Mobility and Location-Based Analysis
- Complex Network Analysis Techniques
Vietnam National University, Hanoi
2015-2024
Hanoi University of Science and Technology
2022-2024
An Giang University
2022-2024
VNU University of Science
2013-2023
University of Da Nang
2018-2023
University of Science and Technology
2023
Vietnam Academy of Science and Technology
2012-2022
Hung Yen University of Technology and Education
2022
Thuyloi University
2022
Thai Nguyen University
2016-2022
A large community of research has been developed in recent years to analyze social media and networks, with the aim understanding, discovering insights, exploiting available information. The focus shifted from conventional polarity classification contemporary application-oriented fine-grained aspects such as, emotions, sarcasm, stance, rumor, hate speech detection user-generated content. Detecting a sarcastic tone natural language hinders performance sentiment analysis tasks. majority...
Nowadays, society is growing and crowded, the construction of automatic smart waste sorter machine utilizing intelligent sensors important necessary. To build this system, trash classification from images an issue in computer vision to be addressed for integrating into sensors. Therefore, study proposes a robust model using deep neural networks classify automatically which can applied machines. Firstly, we collect VN-trash dataset that consists 5904 belonging three different classes...
Deep learning techniques have gained significant importance among artificial intelligence for any computing applications. Among them, deep convolutional neural networks (DCNNs) is one of the widely used practical The accuracy generally high and manual feature extraction process not necessary in these networks. However, achieved at cost huge computational complexity. complexity DCNN mainly due to: 1) increased number layers between input output 2) two set parameters (one filter coefficients...
The evolution of multipurpose sensors over the last decades has been investigated with aim developing innovative devices applications in several fields technology, including food industry. integration such packaging technology paved way for intelligent packaging. These integrated systems are capable providing reliable information about quality packed products during their storage period. To accomplish this goal, packs use a variety suited monitoring and safety by recording parameters like...
The world is consuming large amounts of energy in various forms like electric and mechanical energy. Since the electrical an important factor for development world, many researchers tried to generate electricity from renewable sources collected by sensors order overcome shortage household appliances industrial areas. In this paper, we develop Internet-of-Things (IoT) based system multiple Different namely piezoelectric sensor, body heat converter solar panel are utilized connected power...