A5054027710- Blockchain Technology Applications and Security
- COVID-19 diagnosis using AI
- AI in cancer detection
- Artificial Intelligence in Healthcare and Education
- Blockchain Technology in Education and Learning
- Sentiment Analysis and Opinion Mining
- E-commerce and Technology Innovations
- Text and Document Classification Technologies
- EEG and Brain-Computer Interfaces
- COVID-19 epidemiological studies
- Air Quality Monitoring and Forecasting
- Financial Literacy and Behavior
- Digital Media and Visual Art
- Context-Aware Activity Recognition Systems
- Vehicular Ad Hoc Networks (VANETs)
- Traffic Prediction and Management Techniques
- Vehicle License Plate Recognition
- SARS-CoV-2 and COVID-19 Research
- ECG Monitoring and Analysis
- Digital Transformation in Financial Services
- IoT and Edge/Fog Computing
- Agriculture Market Analysis Ukraine
- Traffic control and management
- Neural Networks and Applications
- Economic Issues in Ukraine
Parul University
2025
Dr. C. V. Raman University
2020-2024
Raja Ramanna Centre for Advanced Technology
2018
Nowadays, COVID-19 is considered to be the biggest disaster that world facing. It has created a lot of destruction in whole world. Due this COVID-19, analysis been done predict death rate and infected from total population. To perform on regression implemented by applying differential equation ordinary (ODE) parameters. The parameters taken for are number susceptible individuals, Infected Individuals, Recovered Individuals. This work will cases, cases near future based different reproductive...
Environmental protection is a concept that uses information and communication technology(ICT) for enhancing people's daily lives. Human fall detection an effective environmental support sub-area. One of the critical issues in elderly people detection. In this work, we have proposed algorithms using machine learning which later fog computing approach to send caregiver real-time. class method based on vector used build Smartphone accelerometer data collection. We considered five features from...
Purpose The purpose of this study/paper To focus on finding COVID-19 with the help DarkCovidNet architecture patient images. Design/methodology/approach We used machine learning techniques convolutional neural network. Findings Detecting symptoms from CT scan Originality/value This paper contains a new for detecting computed tomography
Credit data has a lot of personal information that needs to be kept private. It is easy leak or get the wrong while collecting and querying credit data. As result, leakage will have big impact on person who had their information. This includes things like bad reputation threat home. Dual blockchains can used store query data, which help prevent user privacy leaks, asymmetry, tampering, forgery, over centralization when collected. The system two chains. One chain real-time from people, other...
Purpose The purpose of this paper is to focus on the prediction Coronavirus 2019 (COVID-19) using X-ray image. Design/methodology/approach This study proposed convolutional neural network (CNN) approach predict COVID-19. Findings Prediction COVID-19 CNN. Originality/value work has implemented multiple CNN models classify chest affected patients by their scans. According three models, ResNet-50 advantageous because its high service reliability.