[PDF][PDF] Genetic Algorithm Assisted Support Vector Machine for M-QAM Classification.
Accepted: 3 September 2020 Automatic modulation classification (AMC) has wide spread
applications in today's communication system. AMC has vast applications both in military as …
applications in today's communication system. AMC has vast applications both in military as …
AI SoC-Based Accelerator for Speech Classification Accélérateur de classification de la parole basé sur un AI SoC
C DeSantis, AR Hussein - IEEE Canadian Journal of Electrical …, 2022 - ieeexplore.ieee.org
Speech classification acceleration using field-programmable gate arrays (FPGAs) is a well-
studied field and enables the potential to gain both speed and better energy efficiency over …
studied field and enables the potential to gain both speed and better energy efficiency over …
PYNQ Framework Based Object Recognition Implementation Using Convolution Neural Network (CNN).
J Wang, L Xu - Review of Computer Engineering Studies, 2022 - search.ebscohost.com
In this paper, we presented a PYNQ framework Based object recognition implementation
using Convolution Neural Network (CNN) in Xilinx FPGA. A hardware-software codesign …
using Convolution Neural Network (CNN) in Xilinx FPGA. A hardware-software codesign …
[PDF][PDF] Spectrum Sensing Using Optimized Deep Learning Techniques in Reconfigurable Embedded Systems.
P Kumar, P Selvan - Intelligent Automation & Soft Computing, 2023 - academia.edu
The exponential growth of Internet of Things (IoT) and 5G networks has resulted in maximum
users, and the role of cognitive radio has become pivotal in handling the crowded users. In …
users, and the role of cognitive radio has become pivotal in handling the crowded users. In …
HLS-Based FPGA Implementation of Multi-Label Learning for Radar Signal Recognition
L Guo, W Pan, J Zhao, H Li - 2023 6th International Conference …, 2023 - ieeexplore.ieee.org
In modern Electronic Support (ES) systems, the Radar Signal Recognition (RSR) component
necessitates real-time processing of overlapping signals. In comparison to CPUs and GPUs …
necessitates real-time processing of overlapping signals. In comparison to CPUs and GPUs …
System on Chip implementation of dual-band spectrum sensing using energy detection algorithm
Due to a rising number of wireless devices with the advent of the internet of things (IOT),
there is a huge demand for radio spectrum. Numerous techniques were developed to use …
there is a huge demand for radio spectrum. Numerous techniques were developed to use …
[PDF][PDF] Mathematical Modelling of Engineering Problems
DA Gzar, AM Mahmood, MK Abbas - Journal homepage: http://iieta …, 2022 - academia.edu
Accepted: 21 October 2022 The computational complexity of Machine Learning is a
mathematical study of the possibilities for efficient learning by computers which is the …
mathematical study of the possibilities for efficient learning by computers which is the …
[引用][C] Genetic Algorithm Assisted Support Vector Machine for M-QAM Classification Genetic Algorithm Assisted Support Vector Machine for M-QAM Classification
SA Ghauri, M Sarfraz, NB Muhammad, S Munir