Sunita Kushwaha
Biographic Data
| ID | 10129469 |
|---|---|
| NAME | Sunita Kushwaha |
| GIVEN NAMES | Sunita |
| FAMILY NAME | Kushwaha |
| SIGNATURE | KUSHWAHA S |
| AFFILIATIONS | Mahaveer Academy of Technology and Science University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Comparative Study of Multinomial Logistic Regression and Random Forest Algorithms for Predicting Psychological Wellness Among Students Mental Health Survey
Stress represents a common emotional reaction to stimulating conditions however, when it becomes excessive particularly among students it may result in serious mental health syndromes, physical uneasiness, self-harm. This research aims to classify student wellness levels by inspecting a broad range of stress-related proportions, including psychological, physiological, academic, social, and ecological aspects. This study investigates student psych…
Automated Multi-Class Skin Disease Classification via Convolutional Neural Network in Matlab Environment
Skin diseases represent major global public health issues since they impact millions of people and need precise and prompt diagnosis to avoid serious health problems. Traditional diagnostic methods depend mostly on doctors' expertise and manual examinations, which results in subjective evaluations and inconsistent results with delayed treatments. Convolutional Neural Networks (CNNs) have become essential tools for medical image analysis in recent…
No prominent works on this page.
Comparative Study of Multinomial Logistic Regression and Random Forest Algorithms for Predicting Psychological Wellness Among Students Mental Health Survey
Stress represents a common emotional reaction to stimulating conditions however, when it becomes excessive particularly among students it may result in serious mental health syndromes, physical uneasiness, self-harm. This research aims to classify student wellness levels by inspecting a broad range of stress-related proportions, including psychological, physiological, academic, social, and ecological aspects. This study investigates student psych…
Automated Multi-Class Skin Disease Classification via Convolutional Neural Network in Matlab Environment
Skin diseases represent major global public health issues since they impact millions of people and need precise and prompt diagnosis to avoid serious health problems. Traditional diagnostic methods depend mostly on doctors' expertise and manual examinations, which results in subjective evaluations and inconsistent results with delayed treatments. Convolutional Neural Networks (CNNs) have become essential tools for medical image analysis in recent…
Artificial Intelligence (2 works) · Computer Science (2 works) · Applied Psychology (1 work) · Artificial Intelligence in Healthcare (1 work) · Artificial neural network (1 work) · Convolutional neural network (1 work) · Cutaneous Melanoma Detection and Management (1 work) · Diverse Scientific Research Studies (1 work) · Logistic regression (1 work) · Machine learning (1 work)