Results 21 to 30 of about 2,347,910 (180)
Micromachines, 2022 Previous studies have demonstrated that, up to a certain degree, Convolutional Neural Networks (CNNs) can tolerate arithmetic approximations. Nonetheless, perturbations must be applied judiciously, to constrain their impact on accuracy.
Flavio Ponzina +3 more
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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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Experiencing Wireless Sensor Network Concepts in an Undergraduate Computer Science Curriculum [PDF]
, 2009 Incorporating Embedded Systems courses in a general and broad Computer Science undergraduate curriculum can be a challenging task. The lack of experience with relevant tools and programming languages tends to limit the amount material that can be ...
Dil, Bram +3 more
core +2 more sources
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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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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Wireless Passive Sensor Technology through Electrically Conductive Media over an Acoustic Channel
Sensors, 2023 Hydrogen-based technologies provide a potential route to more climate-friendly mobility in the automotive and aviation industries. High-pressure tanks consisting of carbon-fiber-reinforced polymers (CFRPs) are exploited for the storage of compressed ...
Thomas Schaechtle +3 more
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Fault Injection for Embedded Microprocessor-based Systems [PDF]
, 1999 Microprocessor-based embedded systems are increasingly used to control safety-critical systems (e.g., air and railway traffic control, nuclear plant control, aircraft and car control).
Benso, Alfredo +2 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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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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In the quest of vision-sensors-on-chip: Pre-processing sensors for data reduction [PDF]
, 2017 This paper shows that the implementation of vision systems benefits from the usage of sensing front-end chips with embedded pre-processing capabilities - called CVIS.
Brea Sánchez, Víctor +4 more
core +1 more source