A Comprehensive Review of Hardware Acceleration Techniques and Convolutional Neural Networks for EEG Signals [PDF]
SensorsThis paper comprehensively reviews hardware acceleration techniques and the deployment of convolutional neural networks (CNNs) for analyzing electroencephalogram (EEG) signals across various application areas, including emotion classification, motor ...
Yu Xie, Stefan Oniga
exaly +4 more sources
Image Processing Hardware Acceleration—A Review of Operations Involved and Current Hardware Approaches [PDF]
Journal of ImagingThis review provides an in-depth analysis of current hardware acceleration approaches for image processing and neural network inference, focusing on key operations involved in these applications and the hardware platforms used to deploy them.
Costin-Emanuel Vasile +2 more
doaj +2 more sources
Hardware Acceleration of Digital Pulse Shape Analysis Using FPGAs [PDF]
SensorsThe BC501A sensor is a liquid scintillator frequently used in nuclear physics for detecting fast neutrons. This paper describes a hardware implementation of digital pulse shape analysis (DPSA) for real-time analysis.
César González +7 more
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A Federated Learning Model Based on Hardware Acceleration for the Early Detection of Alzheimer’s Disease [PDF]
Sensors, 2023 Kasem Khalil +2 more
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Intelligent Real-Time Face-Mask Detection System with Hardware Acceleration for COVID-19 Mitigation [PDF]
Healthcare (Switzerland), 2022 Peter Sertic +2 more
exaly +2 more sources
MIMO Radar Hardware Acceleration with Enhanced Resolution [PDF]
ITM Web of Conferences, 2022 This paper proposes a method for accelerating an enhanced resolution 3D (range, velocity, and azimuth) Multiple Input Multiple Output (MIMO) radar on a Graphics Processing Unit (GPU).
Pitre Eric +3 more
doaj +1 more source
FPGA-based Hardware Acceleration for SVM Machine Learning Algorithm [PDF]
E3S Web of Conferences, 2021 object recognition algorithms are both large consumers of computing power and memory which affects the quality and performance especially when it comes to large image datasets, in this paper we propose an algorithm for fruit/plant recognition that we ...
Fatimazahra Jakjoud +2 more
doaj +1 more source
Software and Hardware Cooperative Acceleration Technology for CNN [PDF]
Hangkong bingqi, 2021 To meet requirements of building intelligent avionics systems, and improve the intelligent combat level of manned/unmanned aerial vehicles, the software and hardware cooperative acceleration technology for CNN is designed and implemented to solve complex
Li Xinyao, Liu Feiyang, Wen Pengcheng, Li Peng
doaj +1 more source
Impact of analog memory device failure on in-memory computing inference accuracy
APL Machine Learning, 2023 In-memory computing using analog non-volatile memory (NVM) devices can improve the speed and reduce the latency of deep neural network (DNN) inference. It has been recently shown that neuromorphic crossbar arrays, where each weight is implemented using ...
Ning Li +3 more
doaj +1 more source
CORDIC Hardware Acceleration Using DMA-Based ISA Extension
Journal of Low Power Electronics and Applications, 2022 The use of RISC-based embedded processors aimed at low cost and low power is becoming an increasingly popular ecosystem for both hardware and software development. High-performance yet low-power embedded processors may be attained via the use of hardware
Erez Manor +2 more
doaj +1 more source