Search Results - "On-Device Learning"
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1
Authors: et al.
Source: IEEE Transactions on Biomedical Circuits and Systems. 19:511-522
Subject Terms: Signal Processing (eess.SP), Wearable EEG, Brain-computer interface, On-device learning, FOS: Electrical engineering, electronic engineering, information engineering, Deep learning, EEG, Continual learning, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Signal Processing, Wearable healthcare, Electrical Engineering and Systems Science - Systems and Control
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2
Authors: Tharan, Nikin
Source: International Journal of Science and Research Archive. 14:082-094
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3
Authors: et al.
Source: IEEE Open Journal of Circuits and Systems, Vol 6, Pp 85-99 (2025)
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4
Authors: et al.
Source: 2024 IEEE Biomedical Circuits and Systems Conference (BioCAS). :1-5
Subject Terms: Signal Processing (eess.SP), wearable EEG, brain machine interfaces, FOS: Electrical engineering, electronic engineering, information engineering, EEG (Electroencephalogram), Transfer Learning, Continual learning, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Signal Processing, Electrical Engineering and Systems Science - Systems and Control, Ondevice learning, brain-machine interface, continual learning, EEG, on-device learning, transfer learning, wearable healthcare
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5
Authors: et al.
Contributors: et al.
Source: IEEE Transactions on Biomedical Circuits and Systems, 18 (4)
Subject Terms: Male, Adult, Continual Learning, Deep Learning, Electromyography, Embedded, Human-Machine Interaction, Human-Machine Interfaces, Incremental Learning, Low-Power, Machine Learning, Microcontroller, On-Device Learning, Online Learning, Parallel Computing, Prosthetics, Ultra-Low Power, PULP, Real Time, Regression, Temporal Convolutional Networks, TinyML, Training-on-Device, Electromyography, 2208 Electrical and Electronic Engineering, Training, Force, Estimation, Accuracy, Adaptation models, Data models, Microcontrollers, Continual learning, deep learning, electromyography, embedded, human-machine interaction, human-machine interfaces, incremental learning, low-power, machine learning, microcontroller, on-device learning, online learning, parallel computing, prosthetics, ultra-low power, PULP, real time, regression, temporal convolutional networks, tinyML, training-on-device, Continual Learning, Deep Learning, Embedded, Human-Machine Interaction, Human-Machine Interfaces, Incremental Learning, Low-Power, Machine Learning, Microcontroller, On-Device Learning, Online Learning, Parallel Computing, Prosthetics, Real Time, Regression, Temporal Convolutional Networks, TinyML, Training-on-Device, Ultra-Low Power, 2204 Biomedical Engineering, Signal Processing, Computer-Assisted, Hand, Biomechanical Phenomena, 570 Life sciences, biology, Humans, Female, 10194 Institute of Neuroinformatics
File Description: application/pdf
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6
Authors: et al.
Source: IEEE Transactions on Biomedical Circuits and Systems, 18 (4)
Subject Terms: Blind source separation, human-machine interfaces, independent component analysis, low-power, machine learning, on-device learning, online learning, PULP, surface EMG, Blind Source Separation, Human-Machine Interfaces, Independent Component Analysis, Low-Power, Machine Learning, On-Device Learning, Online Learning, PULP, Surface EMG, Blind Source Separation, Circuits and systems, Electrodes, Electromyography, Graphical user interfaces, Human-Machine Interfaces, Independent Component Analysis, Low-Power, Machine Learning, Motors, Muscles, On-Device Learning, Online Learning, Real-time systems, Surface EMG
Access URL: https://pubmed.ncbi.nlm.nih.gov/38848226
https://hdl.handle.net/11380/1355879
https://doi.org/10.1109/TBCAS.2024.3410840
https://ieeexplore.ieee.org/abstract/document/10552147
https://hdl.handle.net/11585/971797
https://doi.org/10.1109/tbcas.2024.3410840
http://hdl.handle.net/20.500.11850/692631 -
7
Authors:
Source: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 43 (11)
Subject Terms: FOS: Computer and information sciences, on-device learning, Computer Science - Artificial Intelligence, Embedded ML, resource-constrained cyber-physical system (CPS), self-supervised learning, tiny machine learning (TinyML), Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, Computer Science - Robotics, Artificial Intelligence (cs.AI), FOS: Electrical engineering, electronic engineering, information engineering, Robotics (cs.RO)
File Description: application/application/pdf
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8
Authors: et al.
Source: IEEE Sensors Letters. 8:1-4
Subject Terms: Sensors, Image sensors, Accuracy, Training, Power demand, Integrated circuit modeling, Field programmable gate arrays, Sensor signal processing, edge computing, FPGA, hardware design, image classification, machine learning (ML), on-tiny-device learning, time-of-flight (ToF), ultra-low-resolution (ULR)
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9
Authors: et al.
Source: Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. :25-36
Subject Terms: Binary Neural Networks, On-device Learning, TinyML, Continual Learning, Binary Neural Networks, On-device Learning, TinyML, Continual Learning
File Description: application/pdf
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10
Authors: et al.
Source: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). :2172-2181
Subject Terms: continual learning, on-device continual learning, on-device learning, tinyML
File Description: application/pdf
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11
Authors: et al.
Source: 2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS). :6-10
Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Sound (cs.SD), Audio and Speech Processing (eess.AS), Domain Adaptation, Extreme Edge, Keyword Spotting, Low-Power Microcontrollers, Noise Robustness, On-Device Learning, TinyML, FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing, Machine Learning (cs.LG)
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12
Authors: Researcher
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13
Authors: et al.
Source: 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE). :1-6
Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Vision and Pattern Recognition (cs.CV), 4. Education, Computer Science - Computer Vision and Pattern Recognition, Continual learning, deep neural networks, microcontrollers, on-device learning, 7. Clean energy, Machine Learning (cs.LG)
Access URL: http://arxiv.org/abs/2403.07851
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14
Authors: et al.
Contributors: et al.
Source: IEEE Sensors Letters. 7:1-4
Subject Terms: Sensor systems, on-device learning, hyperspherical classifier, Tiny machine learning (TinyML), feature extraction, keyword spotting (KWS), Extreme learning machines (ELMs), on-tiny-device learning
File Description: application/pdf
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15
Authors:
Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 8863-8874 (2024)
Subject Terms: on-device learning, QC801-809, Geophysics. Cosmic physics, 0211 other engineering and technologies, 04 agricultural and veterinary sciences, 02 engineering and technology, change detection (CD), Ocean engineering, Blockchain, hyperspectral images (HSIs), 0401 agriculture, forestry, and fisheries, federated learning (FL), generative adversarial network (GAN), TC1501-1800
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16
Authors: et al.
Source: IEEE Access, Vol 12, Pp 37276-37287 (2024)
Subject Terms: neural network acceleration, on-device learning, meta-learning, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, Gradient pruning, neural network quantization, neural network compression, TK1-9971
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17
Authors: et al.
Contributors: et al.
Subject Terms: On-device learning, Continual learning, Latent replay, Binary neural network, Image classification
Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:001463491400001; volume:158; firstpage:1; lastpage:12; journal:IMAGE AND VISION COMPUTING; https://hdl.handle.net/11380/1378068
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18
Authors:
Source: Chips, Vol 2, Iss 2, Pp 130-141 (2023)
Chips; Volume 2; Issue 2; Pages: 130-141Subject Terms: resource constraints, neural architecture search, tiny devices, tiny machine learning, micro controllers, hyper parameter optimizations, on device learning, Electronic computers. Computer science, 0202 electrical engineering, electronic engineering, information engineering, QA75.5-76.95, 02 engineering and technology, Electric apparatus and materials. Electric circuits. Electric networks, TK452-454.4
File Description: application/pdf
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19
Authors:
Source: arXiv
Subject Terms: Keyword Spotting, Embeddings, User Features, On-Device Learning
Access URL: http://hdl.handle.net/20.500.11850/714363
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20
Authors:
Source: Sensors, Vol 25, Iss 12, p 3679 (2025)
Subject Terms: on-device learning, radial basis functions, inertial sensor calibration, intelligent sensor processing unit, in-sensor tiny machine learning, Chemical technology, TP1-1185
File Description: electronic resource
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