Results 21 to 30 of about 2,380,407 (323)
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
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
doaj +1 more source
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
core +2 more sources
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
doaj +1 more source
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
doaj +1 more source
Privacy-Preserving Facial Recognition Using Biometric-Capsules [PDF]
, 2020 Indiana University-Purdue University Indianapolis (IUPUI)In recent years, developers have used the proliferation of biometric sensors in smart devices, along with recent advances in deep learning, to implement an array of biometrics-based recognition ...
Phillips, Tyler S.
core +1 more source
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
doaj +1 more source
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
doaj +1 more source
Speak with signs: Active learning platform for Greek Sign Language, English Sign Language, and their translation [PDF]
SHS Web of Conferences, 2021 Sign Language is used to facilitate the communication between Deaf and non-Deaf people. It uses signs-words with basic structural elements such as handshape, parts of face, body or space, and the orientation of the fingers-palm.
Papatsimouli Maria +4 more
doaj +1 more source
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
doaj +1 more source