Local and Global Orientation Correction for Oriented Human (Pose) Detection

Detecting people and/or their pose in real life condition is of interest for several tasks notably for home care for elderly or frail people for instance. In such contexts, the perception system must be able to detect usual but also unusual poses of people in various ad…

Preliminary Study on SSCF-derived Polar Coordinate for ASR

The transition angles are defined to describe the vowel-to-vowel transitions in the acoustic space of the Spectral Subband Centroids, and the findings show that they are similar among speakers and speaking rates. In this paper, we propose to investigate the usage of po…

Text Recognition on the Khmer Identification Cards and Its Application in Electronic Know Your Customer (e-KYC) 

Extracting digital information from the identification cards (ID) is one of the key elements of Electronic Know Your Customer (e-KYC), a process wherein customer’s identity is verified electronically. Rapid digitalization of the Cambodian economy along the Covid-19 pand…

Cambodia Distributed Ledger – CamDL

The Cambodia Digital Economy and Society Policy Framework 2021 – 2035 [1], a national strategic framework issued by Royal Government of Cambodia, highlights the necessity of achieving digital transformation in order to foster the economic growth of the country. To achie…

Job Trends Analysis Using Power BI

Job trends analysis is an important factor in understanding the demand that can help job portals realize the current hiring trends, including for the information and communications technology (ICT) area. To know the information-related job demands in Cambodia, data scra…

Students’ Sentiment and Feedback Analysis on Online Learning System during COVID-19 Pandemic

After the COVID-19 pandemic, no one refutes the importance of online learning in the educational process. Measuring student engagement is a crucial step towards online learning. Sentiment analysis has been widely applied in many domains, including business, social netwo…

Evaluation of Regularization-based Continual Learning Algorithms in the Context of Human Activity Recognition

In recent years, sensor-based human activity recognition (HAR) has gained a lot of attention in continual learning studies. With a growing number of HAR applications deployed in real-world contexts, continual learning plays a vital role in allowing activity models to ad…

Implementation of Deep Learning for Smart City Applications: Lessons Learned

The new urban digital industry 4.0 has greatly brought modern technologies to fulfill in the last decade. The smart city gains the attention of researchers and governance to advance the living quality by conducting several studies and testing deployment. In this paper…

Intelligent Control in SDN/NFV-Empowered IoT Systems for Smart City Application

Artificial intelligence (AI)-based control approaches for management and orchestration layer are studied in this paper by investigating the applicability of emerging machine learning (ML)/deep learning (DL) modules in software defined networking (SDN) and network functi…