Geospatial Data Exploration Using Machine Learning

K Geetha, A Srivani, S Gunasekaran… - … on Smart Electronics …, 2023 - ieeexplore.ieee.org
Geospatial data exploration's major objective is to learn more about spatial characteristics in
order to decide accommodation of students in various locations. The K-means technique …

Analysis of Ensemble of Machine Learning Algorithms for Detection of Parkinson's Disease

G Tallapureddy, D Radha - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Parkinson's Disorder (PD) is a neurodegenerative motion disorder. This disorder can be
identified by the signs and symptoms which may increase with a small tremor in right or left …

Parkinson classification neural network with mass algorithm for processing speech signals

B Akila, JJV Nayahi - Neural Computing and Applications, 2024 - Springer
Parkinson's disease (PD) is a condition that degenerates over time and impairs speech and
pronunciation because brain cells have died. This research work aims to predict parkinson …

[HTML][HTML] Analyzing Data Reduction Techniques: An Experimental Perspective

V Fernandes, G Carvalho, V Pereira, J Bernardino - Applied Sciences, 2024 - mdpi.com
The exponential growth in data generation has become a ubiquitous phenomenon in today's
rapidly growing digital technology. Technological advances and the number of connected …

Parkinson's disease prediction using fisher score based recursive feature elimination

R Aishwarya, K Pavitra, PV Miranda… - … on Advancement in …, 2023 - ieeexplore.ieee.org
Parkinson's disease is a neurological syndrome that manifests slowly and gradually, making
it difficult to diagnose at an early stage. Voice alterations can be used as a detectable …

An exploration on feature extraction and classification techniques for dysphonic speech disorder in Parkinson's Disease

S Sharanyaa, PN Renjith, K Ramesh - Inventive Communication and …, 2022 - Springer
Parkinson's disease is a neurodegenerative disorder, and it is a progressive disease that
affects the human lifestyle. The survey described here paves the way to understand how the …

DCNET: a novel implementation of gastric cancer detection system through deep learning convolution networks

S Sharanyaa, S Vijayalakshmi… - 2022 international …, 2022 - ieeexplore.ieee.org
To evaluate the Early Gastric Cancer (EGC) detection in humans one of the most common
diseases that act as neoplastic disease and second-largest fatal tumor-based disease …

[PDF][PDF] Source and Vocal Tract Cues for Speech-Based Classification of Patients with Parkinson's Disease and Healthy Subjects.

T Bhattacharjee, J Mallela, Y Belur, A Nalini… - Interspeech, 2021 - researchgate.net
Parkinson's disease (PD) affects both source and vocal tract components of speech. Various
speech cues explored in literature for automatic classification of individuals with PD and …

Machine learning Smart Traffic Prediction and Congestion Reduction

A Lakshna, K Ramesh, B Prabha… - … and Smart Electrical …, 2021 - ieeexplore.ieee.org
Smart traffic congestion reduction is useful for reducing the traffic in a highly congested area.
To prevent heavy traffic Internet of things is implemented through a small device called a …

An Approach Using in Communication Network Apply in Healthcare System Based on the Deep Learning Autoencoder Classification Optimization Metaheuristic …

B Gergerli, FV Çelebi, J Rahebi, B Şen - Wireless Personal …, 2023 - Springer
Parkinson's disease is a neurodegenerative disorder and affects the nerve cells that
produce dopamine in the brain. In this paper, we investigated comparative studies on the …