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 long short‐term memory‐based model for greenhouse climate prediction
Greenhouses can grow many off‐season vegetables and fruits, which improves people's
quality of life. Greenhouses can also help crops resist natural disasters and ensure the …
quality of life. Greenhouses can also help crops resist natural disasters and ensure the …
Privacy-aware traffic flow prediction based on multi-party sensor data with zero trust in smart city
F Wang, G Li, Y Wang, W Rafique… - ACM Transactions on …, 2023 - dl.acm.org
With the continuous increment of city volume and size, a number of traffic-related urban units
(eg, vehicles, roads, buildings, etc.) are emerging rapidly, which plays a heavy burden on …
(eg, vehicles, roads, buildings, etc.) are emerging rapidly, which plays a heavy burden on …
A blockchain‐and artificial intelligence‐enabled smart IoT framework for sustainable city
Advancements in digital technologies, such as the Internet of Things (IoT), fog/edge/cloud
computing, and cyber‐physical systems have revolutionized a broad spectrum of smart city …
computing, and cyber‐physical systems have revolutionized a broad spectrum of smart city …
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 …
Popularity-aware and diverse web APIs recommendation based on correlation graph
The ever-increasing web application programming interfaces (APIs) in various service-
sharing communities (eg, ProgrammableWeb. com and Mashape. com) have enabled …
sharing communities (eg, ProgrammableWeb. com and Mashape. com) have enabled …
Uav-assisted task offloading for iot in smart buildings and environment via deep reinforcement learning
J Xu, D Li, W Gu, Y Chen - Building and Environment, 2022 - Elsevier
With the rapid development of Internet of Things (IoT) techniques, IoT devices with sensors
have been widely deployed and used in smart buildings and environment, and the …
have been widely deployed and used in smart buildings and environment, and the …
Bidirectional GRU networks‐based next POI category prediction for healthcare
Abstract The Corona Virus Disease 2019 has a great impact on public health and public
psychology. People stay at home for a long time and rarely go out. With the improvement of …
psychology. People stay at home for a long time and rarely go out. With the improvement of …
Edge-cloud-enabled matrix factorization for diversified APIs recommendation in mashup creation
F Wang, L Wang, G Li, Y Wang, C Lv, L Qi - World Wide Web, 2022 - Springer
A growing number of web APIs published on the Internet allows mashup developers to
discover appropriate web APIs for polishing mashups. Developers often have to manually …
discover appropriate web APIs for polishing mashups. Developers often have to manually …
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 …