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Implicit privacy preservation: a framework based on data generation
Security and Safety, 2022 This paper addresses a special and imperceptible class of privacy, called implicit privacy. In contrast to traditional (explicit) privacy, implicit privacy has two essential properties: (1) It is not initially defined as a privacy attribute; (2) it is ...
Yang Qing +4 more
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Multiple Hypothesis Detection and Tracking Using Deep Learning for Video Traffic Surveillance
IEEE Access, 2021 Moroccan Intelligent Transport System is the first Moroccan system that uses the latest advances in computer vision, machine learning and deep learning techniques to manage Moroccan traffic and road violations. In this paper, we propose a fully automatic
Hamd Ait Abdelali +4 more
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Self-Supervised Joint Learning Fault Diagnosis Method Based on Three-Channel Vibration Images
Sensors, 2021 The accuracy of bearing fault diagnosis is of great significance for the reliable operation of rotating machinery. In recent years, increasing attention has been paid to intelligent fault diagnosis techniques based on deep learning.
Weiwei Zhang, Deji Chen, Yang Kong
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Byzantine-robust federated learning via credibility assessment on non-IID data
Mathematical Biosciences and Engineering, 2022 Federated learning is a novel framework that enables resource-constrained edge devices to jointly learn a model, which solves the problem of data protection and data islands.
Kun Zhai +3 more
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Multi-Task Autoencoders and Transfer Learning for Day-Ahead Wind and Photovoltaic Power Forecasts
Energies, 2022 Integrating new renewable energy resources requires robust and reliable forecasts to ensure a stable electrical grid and avoid blackouts. Sophisticated representation learning techniques, such as autoencoders, play an essential role, as they allow for ...
Jens Schreiber, Bernhard Sick
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Algorithms, 2023 During an emergency rescue operation, rescuers have to deal with many different health complications like cardiovascular, respiratory, neurological, psychiatric, etc.
Abu Shad Ahammed +2 more
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Embedded Systems Security [PDF]
, 2011 Not long ago, it was thought that only software applications and general purpose digital systems i.e. computers were prone to various types of attacks against their security. The underlying hardware, hardware implementations of these software applications, embedded systems, and hardware devices were considered to be secure and out of reach of these ...
Farooq-I-Azam, Muhammad +1 more
openaire +3 more sources
, 2021 This Open Access book introduces readers to many new techniques for enhancing and optimizing reliability in embedded systems, which have emerged particularly within the last five years. This book introduces the most prominent reliability concerns from today’s points of view and roughly recapitulates the progress in the community so far.
Henkel, Jörg, Dutt, Nikil
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IEEE Access, 2023 It is extremely important to build a reasonable traffic network structure for traffic flow prediction. Owing to the complexity and dynamic of traffic networks, the graph neural network model has become one of the most effective methods for mining the ...
Xiaohui Cheng +3 more
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EURASIP Journal on Embedded Systems, 2007 Video surveillance and machine vision systems are attracting growing academic and industrial interests. The market for digital CCTV systems is constantly growing because of terror attacks, crime, vandalism, and violence in public and also in business domains.
Heinrich Garn, Dietmar Dietrich
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