Scheduling energy consumption-constrained workflows in heterogeneous multi-processor embedded systems
J Chen, P Han, Y Zhang, T You, P Zheng - Journal of Systems Architecture, 2023 - Elsevier
Heterogeneous multi-processor architecture which achieves rich functionalities with different
types of processors, is widely used to provide powerful calculating capability while kee** …
types of processors, is widely used to provide powerful calculating capability while kee** …
ASTREAM: Data-stream-driven scalable anomaly detection with accuracy guarantee in IIoT environment
Intrusion detection exerts a crucial influence on securing the IIoT driven by anomaly
detection approaches. Dissimilar with the static data, the intrusion detection data is in the …
detection approaches. Dissimilar with the static data, the intrusion detection data is in the …
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 …
Privacy-aware point-of-interest category recommendation in internet of things
In location-based social networks (LBSNs), extensive user check-in data incorporating user
preferences for location is collected through Internet of Things devices, including cell …
preferences for location is collected through Internet of Things devices, including cell …
Time-aware missing healthcare data prediction based on ARIMA model
L Kong, G Li, W Rafique, S Shen, Q He… - … ACM transactions on …, 2022 - ieeexplore.ieee.org
Healthcare uses state-of-the-art technologies (such as wearable devices, blood glucose
meters, electrocardiographs), which results in the generation of large amounts of data …
meters, electrocardiographs), which results in the generation of large amounts of data …
Cost-aware scheduling systems for real-time workflows in cloud: An approach based on Genetic Algorithm and Deep Reinforcement Learning
With the development of cloud computing, a growing number of applications are migrating to
a cloud environment. In the process, the real-time scheduling of workflows has gradually …
a cloud environment. In the process, the real-time scheduling of workflows has gradually …
Temperature-constrained reliability optimization of industrial cyber-physical systems using machine learning and feedback control
J Zhou, L Li, A Vajdi, X Zhou… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
As the backbone of Industry 4.0, industrial cyber-physical systems (ICPSs) that are
geographically dispersed, federated, cooperative, and security-critical systems become the …
geographically dispersed, federated, cooperative, and security-critical systems become the …
Throughput-Conscious Energy Allocation and Reliability-Aware Task Assignment for Renewable Powered In-Situ Server Systems
In-situ (InS) server systems are typically deployed in special environments to handle InS
workloads which are generated from environmentally sensitive areas or remote places …
workloads which are generated from environmentally sensitive areas or remote places …
2C2S: A two-channel and two-stream transformer based framework for offline signature verification
JX Ren, YJ **ong, H Zhan, B Huang - Engineering Applications of Artificial …, 2023 - Elsevier
Recently, with the outstanding performance of the transformer in NLP, approaches that
employ the transformer to address vision problem is becoming a research focus. However …
employ the transformer to address vision problem is becoming a research focus. However …
Decomposed task scheduling for security-critical mobile cyber–physical systems
With the recent advances in mobile sensing, computing, and communication technologies,
mobile cyber–physical systems (MCPSs) become a promising networking paradigm that …
mobile cyber–physical systems (MCPSs) become a promising networking paradigm that …