Machine and deep learning techniques for the prediction of diabetics: a review
Diabetes has become one of the significant reasons for public sickness and death in
worldwide. By 2019, diabetes had affected more than 463 million people worldwide …
worldwide. By 2019, diabetes had affected more than 463 million people worldwide …
Robust Image Processing Framework for Intelligent Multi-Stage Malaria Parasite Recognition of Thick and Thin Smear Images
Malaria is a pressing medical issue in tropical and subtropical regions. Currently, the
manual microscopic examination remains the gold standard malaria diagnosis method …
manual microscopic examination remains the gold standard malaria diagnosis method …
Genetic algorithm and Naïve Bayes-based (GANB) diabetes mellitus prediction system
DK Yadav, C Azad, K Bala, PK Sharma… - … , Machine Learning and …, 2022 - Springer
Today, machine learning plays a significant role in the classification of healthcare
conditions. Machine learning is the process of finding, discovering, and modeling massive …
conditions. Machine learning is the process of finding, discovering, and modeling massive …
Classification of human gait based on fine Gaussian support vector machines using a force platform
S Jaiteh, L Lee, CS Tan - AIP Conference Proceedings, 2022 - pubs.aip.org
A force platform prototype for human gait classification as an alternative to vision-based and
wearable sensorbased gait classification technologies is proposed. The primary sensors …
wearable sensorbased gait classification technologies is proposed. The primary sensors …
Genetic Algorithm and Gaussian Radial Basis Function Network (GAGRBFN) Based Diabetes Mellitus Prediction System
DK Yadav, C Azad, K Bala, PK Sharma - Advances in Distributed …, 2022 - Springer
Diabetes is metabolic disease which causes an increase in blood sugar level. Numerous
problems may occur if diabetes is not diagnosed. Treatment of diabetes usually includes a …
problems may occur if diabetes is not diagnosed. Treatment of diabetes usually includes a …
[PDF][PDF] Robust Image Processing Framework for Intelligent Multi-Stage Malaria Parasite Recognition of Thick and Thin Smear Images. Diagnostics 2023, 13, 511
Malaria is a pressing medical issue in tropical and subtropical regions. Currently, the
manual microscopic examination remains the gold standard malaria diagnosis method …
manual microscopic examination remains the gold standard malaria diagnosis method …
Analysis of AI-driven tools and Impact of Covid-19 on Age: A Case Study for India
The primary objective of present study was to study the impact of Covid-19 pandemic on the
different age groups in Indian population. The paper has recorded observations by applying …
different age groups in Indian population. The paper has recorded observations by applying …
[PDF][PDF] Breast Cancer Prediction Using Oversampling Technique, Particle Swarm Optimization, and Fuzzy Logic
KD Mahato, C Saini, SSGK Das, A Kumar, C Azad… - researchgate.net
Background: Breast cancer is one of the most devastating and prominent reasons for
women's life loss on the planet today. Therefore, the development of tools for the early …
women's life loss on the planet today. Therefore, the development of tools for the early …
A hybrid approach for feature selection based on global and local optimization for email spam detection
S Sharma, C Azad - 2021 12th International Conference on …, 2021 - ieeexplore.ieee.org
These days, Due to the universal availability of internet connections, email correspondence
has become one of the most cost-effective and efficient approaches for official and business …
has become one of the most cost-effective and efficient approaches for official and business …