Edge intelligence-assisted animation design with large models: a survey
J Zhu, C Hu, E Khezri, MMM Ghazali - Journal of Cloud Computing, 2024 - Springer
The integration of edge intelligence (EI) in animation design, particularly when dealing with
large models, represents a significant advancement in the field of computer graphics and …
large models, represents a significant advancement in the field of computer graphics and …
A comprehensive survey of artificial intelligence and cloud computing applications in the sports industry
A Li, W Huang - Wireless Networks, 2024 - Springer
In recent years, both artificial intelligence (AI) and cloud computing have experienced a
boom across industries, including the sports industry. AI algorithms, machine learning …
boom across industries, including the sports industry. AI algorithms, machine learning …
Research roadmap of service ecosystems: A crowd intelligence perspective
X Xue, G Li, D Zhou, Y Zhang, L Zhang… - … Journal of Crowd …, 2022 - ieeexplore.ieee.org
With the mutual interaction and dependence of several intelligent services, a crowd
intelligence service network has been formed, and a service ecosystem has gradually …
intelligence service network has been formed, and a service ecosystem has gradually …
A novel short-term traffic prediction model based on SVD and ARIMA with blockchain in industrial internet of Things
With the construction and development of smart cities, accurate and real-time traffic
prediction plays a vital role in urban traffic. However, traffic data has the characteristics of …
prediction plays a vital role in urban traffic. However, traffic data has the characteristics of …
A deep neural collaborative filtering based service recommendation method with multi-source data for smart cloud-edge collaboration applications
W Lin, M Zhu, X Zhou, R Zhang, X Zhao… - Tsinghua Science …, 2023 - ieeexplore.ieee.org
Service recommendation provides an effective solution to extract valuable information from
the huge and ever-increasing volume of big data generated by the large cardinality of user …
the huge and ever-increasing volume of big data generated by the large cardinality of user …
An optimized, dynamic, and efficient load-balancing framework for resource management in the internet of things (iot) environment
Major problems and issues in Internet of Things (IoT) systems include load balancing,
lowering operational expenses, and power usage. IoT devices typically run on batteries …
lowering operational expenses, and power usage. IoT devices typically run on batteries …
Deep Q network–driven task offloading for efficient multimedia data analysis in edge computing–assisted IoV
With the prosperity of Industry 4.0, numerous emerging industries continue to gain popularity
and their market scales are expanding ceaselessly. The Internet of Vehicles (IoV), one of the …
and their market scales are expanding ceaselessly. The Internet of Vehicles (IoV), one of the …
Edge-enabled federated sequential recommendation with knowledge-aware Transformer
The increasing ubiquity of recommendation systems in modern applications has brought
about significant changes in various aspects of our daily lives. However, the emergence of …
about significant changes in various aspects of our daily lives. However, the emergence of …
CNN‐and GAN‐based classification of malicious code families: A code visualization approach
Malicious code attacks have severely hindered the current development of the Internet
technologies. Once the devices are infected with virus, the damages to companies and …
technologies. Once the devices are infected with virus, the damages to companies and …
An accuracy-enhanced group recommendation approach based on DEMATEL
Group recommendations aim to suggest items to a group of users based on their
preferences. Many group recommendations often consider various factors to calculate the …
preferences. Many group recommendations often consider various factors to calculate the …