Results 21 to 30 of about 10,189,459 (300)
From Brown-Field to Future Industrial Networks, a Case Study
Applied Sciences, 2021 The network infrastructures in the future industrial networks need to accommodate, manage and guarantee performance to meet the converged Internet technology (IT) and operational technology (OT) traffics requirements.
Mehrzad Lavassani +2 more
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Embedded Systems Dependable Embedded Systems [PDF]
, 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.
Henkel, Jörg, Dutt, Nikil
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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
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Machine Learning Tips and Tricks for Power Line Communications
IEEE Access, 2019 A great deal of attention has been recently given to Machine Learning (ML) techniques in many different application fields. This paper provides a vision of what ML can do in Power Line Communications (PLC).
Andrea M. Tonello +3 more
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RoboPlanner: a pragmatic task planning framework for autonomous robots
Cognitive Computation and Systems, 2020 Robotic automation has proliferated various industrial deployments including manufacturing, retail warehousing and logistics supply chains. In order for robots to advance to the next stage of cognitive autonomy, a robust framework for planning, execution
Ajay Kattepur +1 more
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ConvAix: An Application-Specific Instruction-Set Processor for the Efficient Acceleration of CNNs
IEEE Open Journal of Circuits and Systems, 2021 ConvAix is an application-specific instruction-set processor (ASIP) that enables the energy-efficient processing of convolutional neural networks (CNNs) while retaining substantial flexibility through its instruction-set architecture (ISA) based design ...
Andreas Bytyn +2 more
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An ID Badge Information Extractor Based on Object Detection and Optical Character Recognition
IEEE AccessAdvancements in Artificial Intelligence and Deep Learning have impacted numerous fields, particularly through innovations like You Only Look Once for object detection and PaddleOCR for optical character recognition in computer vision.
Wallace Cavalcante +5 more
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Machine Learning and Knowledge Extraction, 2023 Typically, renewable-power-generation forecasting using machine learning involves creating separate models for each photovoltaic or wind park, known as single-task learning models.
Chandana Priya Nivarthi +2 more
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Proceedings of the 2014 6th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2014 This paper presents an original domotic embedded system for room temperature monitoring. The OpenRemote is the main software interface between the user and the system, but other software components and communication protocols are used, such as 1-Wire protocol for temperature monitoring devices, RS-232 for the central PC unit and OWFS software for ...
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Density-Based Statistical Clustering: Enabling Sidefire Ultrasonic Traffic Sensing in Smart Cities
Journal of Advanced Transportation, 2018 Traffic routing is a central challenge in the context of urban areas, with a direct impact on personal mobility, traffic congestion, and air pollution.
Volker Lücken +8 more
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