A survey on deep learning based knowledge tracing

X Song, J Li, T Cai, S Yang, T Yang, C Liu - Knowledge-Based Systems, 2022 - Elsevier
Abstract “Knowledge tracing (KT)” is an emerging and popular research topic in the field of
online education that seeks to assess students' mastery of a concept based on their …

Local scheduling in kubeedge-based edge computing environment

SH Kim, T Kim - Sensors, 2023 - mdpi.com
KubeEdge is an open-source platform that orchestrates containerized Internet of Things
(IoT) application services in IoT edge computing environments. Based on Kubernetes, it …

Toward AI-enabled nextG networks with edge intelligence-assisted microservice orchestration

S Zeb, MA Rathore, SA Hassan, S Raza… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
Network agility, automation, and intelligence are at the forefront of the next-generation
networks (NGNs) vision, which aims to provide zero-touch service management and self …

Node-based horizontal pod autoscaler in kubeedge-based edge computing infrastructure

M Kundroo, DH Park, S Kim, T Kim - IEEE Access, 2022 - ieeexplore.ieee.org
KubeEdge (KE) is a container orchestration platform for deploying and managing
containerized IoT applications in an edge computing environment based on Kubernetes. It is …

Overview of blockchain-based terminal-edge-cloud collaborative computing paradigm

L Li, J Li, R Liu, Z Li - Computers and Electrical Engineering, 2024 - Elsevier
With the rapid development of the Internet of Things (IoT), terminal-edge-cloud collaborative
computing (TECC), a hierarchical distributed computing model, has become an effective …

Energy-Efficient Computing Acceleration of Unmanned Aerial Vehicles Based on a CPU/FPGA/NPU Heterogeneous System

X Liu, W Xu, Q Wang, M Zhang - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The time and energy optimization of computationally intensive tasks involving unmanned air
vehicles (UAVs) is highly important for increasing the reaction speed of UAVs and for …

ECCVideo: A scalable edge cloud collaborative video analysis system

Q Han, X Ren, P Zhao, Y Wang, L Wang… - IEEE Intelligent …, 2022 - ieeexplore.ieee.org
Video analysis drives a wide range of applications in the fields of public safety, autonomous
vehicles, etc., with the great potential to impact society. Traditional cloud-based approaches …

ComEdge: Cloud-Native Platform for Integrated Computing and Communication in Satellite–Terrestrial Network

H Shi, X Zhang, P Wu, J Chen, Y Zhang - Electronics, 2023 - mdpi.com
Leveraging technological advancements such as containers, microservices, and service
mesh, cloud-native edge computing (CNEC) has become extensively discussed and applied …

Deep Convolutional Linear Precoder Neural Network for Rate Splitting Strategy of Aerial Computing Networks

Z Wang, R Ma, H Shi, Z Cai, L Lin… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Aerial computing networks are facing the challenge of massive node access, where user
devices generally have stringent latency and robustness requirements. Rate Splitting …

Overview of AI and Communication for 6G Network: Fundamentals, Challenges, and Future Research Opportunities

Q Cui, X You, N Wei, G Nan, X Zhang, J Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
With the increasing demand for seamless connectivity and intelligent communication, the
integration of artificial intelligence (AI) and communication for sixth-generation (6G) network …