تصفح حسب الموضوع "Deep neural networks"
السجلات المعروضة 1 -- 12 من 12
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Cybersecurity of multi-cloud healthcare systems: A hierarchical deep learning approach
( Elsevier Ltd , 2022 , Article)With the increase in sophistication and connectedness of the healthcare networks, their attack surfaces and vulnerabilities increase significantly. Malicious agents threaten patients’ health and life by stealing or altering ... -
Data-driven sensor fault detection and isolation of nonlinear systems: Deep neural-network Koopman operator
( John Wiley and Sons Inc , 2023 , Article)This paper proposes a data-driven sensor fault detection and isolation approach for the general class of nonlinear systems. The proposed method uses deep neural network architecture to obtain an invariant set of basis ... -
Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images
( Springer , 2022 , Article)Novel coronavirus disease (COVID-19) is an extremely contagious and quickly spreading coronavirus infestation. Severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS), which outbreak in 2002 ... -
DistPrivacy: Privacy-Aware Distributed Deep Neural Networks in IoT surveillance systems
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)With the emergence of smart cities, Internet of Things (IoT) devices as well as deep learning technologies have witnessed an increasing adoption. To support the requirements of such paradigm in terms of memory and computation, ... -
Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Unmanned aerial vehicles (UAVs) have attracted great interest in the last few years owing to their ability to cover large areas and access difficult and hazardous target zones, which is not the case of traditional systems ... -
Electric vehicles charging management using machine learning considering fast charging and vehicle-to-grid operation
( MDPI , 2021 , Article)Electric vehicles (EVs) have gained in popularity over the years. The charging of a high number of EVs harms the distribution system. As a result, increased transformer overloads, power losses, and voltage fluctuations may ... -
FSC-Set: Counting, Localization of Football Supporters Crowd in the Stadiums
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Counting the number of people in a crowd has gained attention in the last decade. Due to its benefit to many applications such as crowd behavior analysis, crowd management, and video surveillance systems, etc. Counting ... -
Generalized Operational Classifiers for Material Identification
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Material is one of the intrinsic features of objects, and consequently material recognition plays an important role in image understanding. The same material may have various shapes and appearance, while keeping the same ... -
Human experts vs. machines in taxa recognition
( Elsevier B.V. , 2020 , Article)The step of expert taxa recognition currently slows down the response time of many bioassessments. Shifting to quicker and cheaper state-of-the-art machine learning approaches is still met with expert scepticism towards ... -
Machine learning-based management of electric vehicles charging: Towards highly-dispersed fast chargers
( MDPI AG , 2020 , Article)Coordinated charging of electric vehicles (EVs) improves the overall efficiency of the power grid as it avoids distribution system overloads, increases power quality, and decreases voltage fluctuations. Moreover, the ... -
RL-PDNN: Reinforcement Learning for Privacy-Aware Distributed Neural Networks in IoT Systems
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Due to their high computational and memory demand, deep learning applications are mainly restricted to high-performance units, e.g., cloud and edge servers. Particularly, in Internet of Things (IoT) systems, the data ... -
Smartphone-based food recognition system using multiple deep CNN models
( Springer , 2021 , Article)People with blindness or low vision utilize mobile assistive tools for various applications such as object recognition, text recognition, etc. Most of the available applications are focused on recognizing generic objects. ...