A5063031060- Vehicular Ad Hoc Networks (VANETs)
- Opportunistic and Delay-Tolerant Networks
- Mobile Ad Hoc Networks
- IoT and Edge/Fog Computing
- Artificial Intelligence in Healthcare
- Blockchain Technology Applications and Security
- COVID-19 diagnosis using AI
- COVID-19 epidemiological studies
- Video Surveillance and Tracking Methods
- Data Management and Algorithms
- Advanced Neural Network Applications
- Autonomous Vehicle Technology and Safety
- AI in cancer detection
- Network Security and Intrusion Detection
- Energy Efficient Wireless Sensor Networks
- Cloud Data Security Solutions
- Speech Recognition and Synthesis
- Anomaly Detection Techniques and Applications
- Machine Learning in Materials Science
- Indoor and Outdoor Localization Technologies
- Advanced Graph Theory Research
- SARS-CoV-2 and COVID-19 Research
- Complexity and Algorithms in Graphs
- COVID-19 Clinical Research Studies
- Currency Recognition and Detection
Aditya Birla (India)
2014-2024
United Nations Children's Fund India
2020-2021
United Nations Children's Fund Kosovo
2020
United Nations Children's Fund Niger
2020
United Nations Children's Fund Cameroon
2020
Sathyabama Institute of Science and Technology
2009
Sify Technologies (India)
2009
Population growth has led to the increase of different types medication, burden on nurses and pharmacy clerks. Studies have shown that an average a person takes about five medication for any illness. This several other errors as patient is taking wrong medicine at time in day. highly prevalent people who are older age people, visual impaired or challenged. These face difficulty checking expiry date because smaller text size fonts. It well known consumption expired product fatal. To prevent...
In order to improve the identification and diagnosis of cardiovascular diseases (CVDs), this study provides a fresh suggested model that uses Graph Convolutional Networks (GCNs) for multi-label classification phonocardiographic data. The complex temporal spectral properties included in heartbeat sounds are often too traditional machine learning frameworks fully capture. Mel-Frequency Cepstral Coefficients (MFCC) MEL-spectrograms, two sophisticated feature extraction techniques, work together...
Abstract Education acts as a soul in the overall societal development, one way or other. Aspirants, who gain their degrees genuinely, will help society with knowledge and skills. But, on other side of coin, problem fake certificates is alarming worrying. It has been prevalent different forms from paper-based dummy to replicas backed database tampering increased astronomic levels this digital era. In regard, an overlay mechanism using blockchain technology proposed store genuine form verify...
Human Immunodeficiency Virus type-1 (HIV-1) is the cause of Acquired Immune Deficiency Syndrome (AIDS), a major human viral disease with about 33.2 million people infected worldwide. The high cost HAART regimen has impeded its delivery to over 90% HIV/AIDS population in world. aim present study was evaluate vitro anti-HIV activity Phyllanthus emblica plant extracts. Extracts were prepared from dried fruit n-hexane, ethyl acetate, and n-butanol. Peripheral Blood Mononuclear Cells (PBMCs)...
Abstract Background Globally, the routinely used case-based reporting and IgG serosurveys underestimate actual prevalence of COVID-19. Simultaneous estimation antibodies active SARS-CoV-2 markers can provide a more accurate estimation. Methods A cross-sectional survey 16416 people covering all risk groups was done between 3-16 September 2020 using state Karnataka’s infrastructure 290 hospitals across 30 districts. All participants were subjected to simultaneous detection commercial ELISA...
Purpose Because of the outbreak Covid 19, entire world is thinking new strategies, preventive measures to safeguard human life from widespread pandemic. The areas where people are affected marked as containment zones and not allowed exit out those areas. Similarly, enter inside Hence, purpose this paper propose a methodology track zones, enhance tighten security measures. A geo-fence created for zone. person who enters or exits that particular zone will be monitored alert message sent...
Scheduling transmissions in a well-organized and fair manner multi hop wireless network [MWN] is very crucial challenging .For semi equalizing the load distributed node scheduling algorithm used through slot reallocation based on local information swap . The helps to find delay or shortest delivery time achieved when semi-equalized throughout network. We have simulated Local voting found that system converges asymptotically toward optimal schedule. In this paper we propose congestion free...
Abstract Ad hoc networks are suitable for wide range applications like battlefields, analyzing traffic and during disaster recovery operations. With the development of Vehicular Networks transmission emergency messages is considerably progressed to accelerate safety measures. As vehicles communicate with each other by connecting through Internet using Road Side Units (RSI), there will be every possibility transmit fake accessing VANET Server unfair means. This requires attention filtering...
Occurrence of natural disasters is a major concern for people residing in disaster prone areas and this increases the need Disaster Monitoring. Wireless Sensor Network (WSN) technology offers better solution monitoring to facilitate effective rescue operations. WSNs have capability quick sensing transmission critical data thus prove reliable As networks are deployed regions, power, storage resources limited retrieval concern. Many schemes like sleep-scheduling, collaborative been implemented...