Improved Accuracy in Speech Recognition System for Detection of COVID-19 using Support Vector Machine and Comparing with Convolution Neural Network …
R Jhansi, G Uganya - … on System Modeling & Advancement in …, 2022 - ieeexplore.ieee.org
The objective of the research aims to detect Covid-19 patients by innovative speech
recognition using a Support Vector Machine (SVM) and comparing accuracy with …
recognition using a Support Vector Machine (SVM) and comparing accuracy with …
A new cloud and haze mask algorithm from radiative transfer simulations coupled with machine learning
Mainstream satellite cloud masking algorithms are prone to mis-masking in haze-polluted
areas, which may cause errors in aerosol radiative effect calculations and attribution of …
areas, which may cause errors in aerosol radiative effect calculations and attribution of …
Machine learning-based methods for MCS prediction in 5G networks
In the ever-evolving landscape of wireless communication systems, including fifth-
generation (5G) networks and beyond (B5G), accurate Modulation and Coding Scheme …
generation (5G) networks and beyond (B5G), accurate Modulation and Coding Scheme …
Prediction of Heart Failure using Support Vector Machine compared with Decision Tree Algorithm for better Accuracy
D Dharmendra - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Heart attacks are frequently caused by partial or full blockages of the heart's arteries or
veins, which restrict blood flow to or from the heart. The aim of this study is to develop the …
veins, which restrict blood flow to or from the heart. The aim of this study is to develop the …
A fast incomplete data classification method based on representative points and K-nearest neighbors
D Chen, R Ma, H Du - 2022 IEEE Conference on …, 2022 - ieeexplore.ieee.org
Machine learning classification methods play an important role in image recognition,
quantitative transaction and disease diagnosis. In the classification task, some sample …
quantitative transaction and disease diagnosis. In the classification task, some sample …
A Novel Scheme for Improving Accuracy of KNN Classification Algorithm Based on the New Weighting Technique and Stepwise Feature Selection
K nearest neighbor algorithm is one of the most frequently used techniques in data mining
for its integrity and performance. Though the KNN algorithm is highly effective in many …
for its integrity and performance. Though the KNN algorithm is highly effective in many …
Estimation of Social Distance for COVID19 Prevention using K-Nearest Neighbor Algorithm through deep learning
AMA Raj, R Sugumar - 2022 IEEE 2nd Mysore Sub Section …, 2022 - ieeexplore.ieee.org
Coronavirus disease has a crisis with high spread throughout the world during the COVID19
pandemic period. This disease can be easily spread to a group of people and increase the …
pandemic period. This disease can be easily spread to a group of people and increase the …
Diabetic detection from tongue image using segmentation and analysis compared with K-NN classifier
CH Damini, R Baskar - AIP Conference Proceedings, 2024 - pubs.aip.org
Machine learning technologies are gaining traction in the medical field thanks to their
impressive results in illness prediction and diagnosis. In this study, we evaluate K-nearest …
impressive results in illness prediction and diagnosis. In this study, we evaluate K-nearest …
[PDF][PDF] Classificação das percepções de stakeholders sobre o futuro do Brasil utilizando aprendizado de máquina
AO da Silva, DGTL Raminelli… - AtoZ: novas práticas …, 2023 - revistas.ufpr.br
Este artigo compara cinco técnicas de aprendizado de máquina (AM) para classificar as
percepções dos stakeholders quanto ao futuro do Brasil. As técnicas de ML utilizadas foram …
percepções dos stakeholders quanto ao futuro do Brasil. As técnicas de ML utilizadas foram …
Performance Analysis of Vehicle Detection using Support Vector Machine Comparing with K-Nearest Neighbor Algorithm
D Manivarma, A Akilandeswari… - … on Advances in …, 2023 - ieeexplore.ieee.org
In order to achieve the goal of improving vehicle detection in extremely crowded traffic, this
project will make use of many machine learning approaches, including the Support Vector …
project will make use of many machine learning approaches, including the Support Vector …