Results 101 to 110 of about 289,843 (203)
Quantum Machine Learning for Cybersecurity: A Taxonomy and Future Directions
ABSTRACT Context The rapid increase in cyber threats, coupled with increasingly sophisticated attack strategies and the exponential growth of data in recent years, has exposed significant limitations in classical machine learning, rule‐based, and signature‐based defense mechanisms.
Siva Sai +5 more
wiley +1 more source
FPGA-based optical distortion correction for imaging systems
A novel algorithm for correcting optical spatial distortion in imaging systems is presented, together with the architectures implemented for FPGA-based hardware.
Nigel Allinson (17152816) +1 more
core +4 more sources
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha +9 more
wiley +1 more source
This study presents a comprehensive performance evaluation of field-programmable gate array (FPGA), graphics processing unit (GPU), and central processing unit (CPU) platforms for implementing finite impulse response (FIR) filters in semiconductor-based ...
Muhammet Arucu, Teodor Iliev
doaj +1 more source
Compact FPGA Implementations of the Five SHA-3 Finalists
Allowing good performances on different platforms is an important criteria for the selection of the future sha-3 standard. In this paper, we consider the compact implementations of blake, Grøstl, jh, Keccak and Skein on recent fpga devices.
Guerric Meurice de Dormale +13 more
core +1 more source
FPGA‐Based Real‐Time Implementation of Closed‐Loop Brain‐Controlled Eye Movement System
ABSTRACT This paper presents a comprehensive closed‐loop brain‐eye movement framework, spanning parametric modelling, dynamic analysis and real‐time FPGA implementation. A simplified first‐order oculomotor model was derived from the classical Robinson formulation to preserve the essential neural‐mechanical feedback structure while enabling efficient ...
Guodao Zhang +5 more
wiley +1 more source
Deploying deep learning–based optical character recognition (OCR) systems for low-resource, complex-script languages like Urdu remains a major challenge due to high computational costs, lack of annotated datasets, and limited hardware support for ...
Fauzia Yasir, Majida Kazmi
doaj +1 more source
ABSTRACT As one of the important links in energy transition and global energy interconnection, electric vehicles (EVs) are becoming increasingly major research topics in the field of energy. Partial discharge (PD) identification under repetitive impulsive voltages plays a pivotal role in evaluating the health of electric vehicle (EV) motor insulation ...
Li Wang +7 more
wiley +1 more source
Parametric Pipelined
k-means stands out as one of the most common clustering algorithms, widely employed for classification in hyperspectral imaging. In this context, large amounts of data are gathered by sensors that are embedded into satellites with strict constraints in ...
Borja Morcillo +4 more
doaj +1 more source
FPGA‐based scanner and SerialEM server for 4D‐STEM electron tomography
Software for a multipurpose hardware board enables flexible scanning with a ready acquisition and processing pipeline to implement 4D‐STEM electron tomography.Four‐dimensional scanning transmission electron microscopy (4D‐STEM) enables the acquisition of diffraction patterns at every probe position in a dense array.
Shahar Seifer, Michael Elbaum
wiley +1 more source

