Search Results - "Yang, Laurence T."
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Privacy Preserving Deep Computation Model on Cloud for Big Data Feature Learning
Published in IEEE transactions on computers (01-05-2016)“…To improve the efficiency of big data feature learning, the paper proposes a privacy preserving deep computation model by offloading the expensive operations…”
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UAV-Empowered Edge Computing Environment for Cyber-Threat Detection in Smart Vehicles
Published in IEEE network (01-05-2018)“…Over the last few years, we have witnessed an exponential increase in the computing and storage capabilities of smart devices that has led to the popularity of…”
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Deep-Learning-Enhanced Human Activity Recognition for Internet of Healthcare Things
Published in IEEE internet of things journal (01-07-2020)“…Along with the advancement of several emerging computing paradigms and technologies, such as cloud computing, mobile computing, artificial intelligence, and…”
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Deep Correlation Mining Based on Hierarchical Hybrid Networks for Heterogeneous Big Data Recommendations
Published in IEEE transactions on computational social systems (01-02-2021)“…The advancement of several significant technologies, such as artificial intelligence, cyber intelligence, and machine learning, has made big data penetrate not…”
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Indoor smartphone localization via fingerprint crowdsourcing: challenges and approaches
Published in IEEE wireless communications (01-06-2016)“…Nowadays, smartphones have become indispensable to everyone, with more and more built-in location-based applications to enrich our daily life. In the last…”
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6
Data Mining for Internet of Things: A Survey
Published in IEEE Communications surveys and tutorials (01-01-2014)“…It sounds like mission impossible to connect everything on the earth together via internet, but Internet of Things (IoT) will dramatically change our life in…”
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Cyberentity Security in the Internet of Things
Published in Computer (Long Beach, Calif.) (01-04-2013)“…A proposed Internet of Things system architecture offers a solution to the broad array of challenges researchers face in terms of general system security,…”
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An Adaptive CU Size Decision Algorithm for HEVC Intra Prediction Based on Complexity Classification Using Machine Learning
Published in IEEE transactions on circuits and systems for video technology (01-01-2019)“…High efficiency video coding (HEVC), which is the newest video coding standard currently, achieves the best coding efficiency compared with all the other…”
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Privacy Preserving High-Order Bi-Lanczos in Cloud-Fog Computing for Industrial Applications
Published in IEEE transactions on industrial informatics (01-10-2022)“…Industrial cyber-physical-social systems (CPSSs), a prominent data-driven paradigm, tightly couple and coordinate social space into cyber-physical systems…”
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Autonomous Power Management With Double-Q Reinforcement Learning Method
Published in IEEE transactions on industrial informatics (01-03-2020)“…Energy efficiency and autonomous power management are extremely important for mobile-edge computing. Reducing energy consumption of a number of applications…”
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ADTT: A Highly Efficient Distributed Tensor-Train Decomposition Method for IIoT Big Data
Published in IEEE transactions on industrial informatics (01-03-2021)“…The industrial Internet of Things (IIoT) is growing quickly due to increasing deployment and integration of smart sensors, instruments, and devices, and…”
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An Incremental CFS Algorithm for Clustering Large Data in Industrial Internet of Things
Published in IEEE transactions on industrial informatics (01-06-2017)“…With the rapid advances of sensing technologies and wireless communications, large amounts of dynamic data pertaining to industrial production are being…”
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Multi-UAV Cooperative Localization for Marine Targets Based on Weighted Subspace Fitting in SAGIN Environment
Published in IEEE internet of things journal (15-04-2022)“…As an indispensable part of the Internet of Vehicles (IoV), unmanned aerial vehicles (UAVs) can be deployed for target positioning and navigation in the…”
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14
Threat Analysis for Automotive CAN Networks: A GAN Model-Based Intrusion Detection Technique
Published in IEEE transactions on intelligent transportation systems (01-07-2021)“…With the rapid development of Internet of vehicles, connected vehicles, autonomous vehicles, and autonomous driving technologies, automotive Controller Area…”
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15
Privacy-Preserving Tensor Decomposition Over Encrypted Data in a Federated Cloud Environment
Published in IEEE transactions on dependable and secure computing (01-07-2020)“…Tensors are popular and versatile tools which model multidimensional data. Tensor decomposition has emerged as a powerful technique dealing with…”
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Aggregated-Proof Based Hierarchical Authentication Scheme for the Internet of Things
Published in IEEE transactions on parallel and distributed systems (01-03-2015)“…The Internet of Things (IoT) is becoming an attractive system paradigm to realize interconnections through the physical, cyber, and social spaces. During the…”
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A Dynamical and Load-Balanced Flow Scheduling Approach for Big Data Centers in Clouds
Published in IEEE transactions on cloud computing (01-10-2018)“…Load-balanced flow scheduling for big data centers in clouds, in which a large amount of data needs to be transferred frequently among thousands of…”
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CRB Weighted Source Localization Method Based on Deep Neural Networks in Multi-UAV Network
Published in IEEE internet of things journal (01-04-2023)“…With the advent of the Internet of Things (IoT) era, the multiunmanned aerial vehicle (UAV) networks have attracted great attention in the fields of source…”
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A Tensor-Train Deep Computation Model for Industry Informatics Big Data Feature Learning
Published in IEEE transactions on industrial informatics (01-07-2018)“…The deep computation model has been proved to be effective for big data hierarchical feature and representation learning in the tensor space. However, it…”
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HSDC: A Highly Scalable Data Center Network Architecture for Greater Incremental Scalability
Published in IEEE transactions on parallel and distributed systems (01-05-2019)“…As the volume of data keeps growing rapidly, more and more storage devices, servers and network devices are continuously added into data centers to store,…”
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