An efficient classification of hyperspectral remotely sensed data using support vector machine

HN Mahendra… - International Journal of …, 2022 - yadda.icm.edu.pl
This work present an efficient hardware architecture of Support Vector Machine (SVM) for
the classification of Hyperspectral remotely sensed data using High Level Synthesis (HLS) …

[PDF][PDF] 基于时频能量谱纹理特征的跳频调制方式识别

李红光, 郭英, 眭萍, 齐子森 - Journal on Communication …, 2019 - infocomm-journal.com
针对跳频通信调制方式识别问题, 提出了一种基于时频能量谱纹理特征的跳频调制方式识别方法
. 该方法首先采用平滑伪Wigner-Ville 分布算法获取跳频信号时频图, 并经过二维维纳滤波去除 …

Feature Importance Analysis for Glucose Level Detection in Type 2 Diabetes Using Machine Learning.

BM Rao, MA Hussain - Ingénierie des Systèmes d' …, 2023 - search.ebscohost.com
In this paper, we present a machine learning-based approach for the detection of glucose
levels in type 2 diabetes patients. Our approach utilizes physiological parameters such as …

[PDF][PDF] Implementation of Enhanced Range Exponent function for Xilinx CORDIC IP Core

N Bodasingi, B Narayanam, SK Dora - academia.edu
Dynamically reconfigurable devices are used to allocate hardware resources for particular
applications. In this paper, focuses on the exponential function hardware implementation for …

A Real-Time local path planning method based on SVM for UGV

C Zhuge, Z Tang - Boletin Tecnico/Technical Bulletin, 2017 - opus.lib.uts.edu.au
Path planning is one of essentials of unmanned ground vehicle (UGV). For the case of poor
lighting and weather, traditional vision based methods can not extract effective route …