A5051230581- COVID-19 diagnosis using AI
- Brain Tumor Detection and Classification
- Obesity, Physical Activity, Diet
- Face recognition and analysis
- AI in cancer detection
- Digital Imaging for Blood Diseases
- Body Composition Measurement Techniques
- Sentiment Analysis and Opinion Mining
- Health and Lifestyle Studies
Lakshmibai National Institute of Physical Education
2018
The rapid advancement of medical imaging technologies has propelled the development automated systems for identification and classification lung diseases. This study presents design implementation an innovative image retrieval system utilizing artificial neural networks (ANNs) to enhance accuracy efficiency diagnosing proposed focuses on addressing challenges associated with accurate recognition diseases from images, such as X-rays CT scans. Leveraging capabilities ANNs, specifically...
Face detection and recognition have become critical applications in various fields, including security, identity verification, human-computer interaction. This paper presents a comprehensive analysis of face techniques using Artificial Intelligence (AI), focusing on the integration PCA KNN algorithms. is employed to reduce dimensionality image datasets, effectively extracting important features while minimizing data loss. The classifier used for classification by identifying closest matching...
An estimate of body mass index (BMI) is a convenient technique to determine healthy weight in accordance with height and based on certain anthropometric parameters. This study was undertaken statistically analyze the differential significance parameters contributing regional age variation BMI cohort population. The population comprised 101 school teachers from Mumbai (coastal) Gwalior (plains) regions both sexs (males=76) (females=25). data age, waist circumference hip obtained subjected...