- Wireless Signal Modulation Classification
- Antibiotic Use and Resistance
- Pregnancy and preeclampsia studies
- Radar Systems and Signal Processing
- Antifungal resistance and susceptibility
- COVID-19 Clinical Research Studies
- Cervical and Thoracic Myelopathy
- Brain Tumor Detection and Classification
- Injury Epidemiology and Prevention
- IoT and GPS-based Vehicle Safety Systems
- Birth, Development, and Health
- Face recognition and analysis
- Nosocomial Infections in ICU
- COVID-19 diagnosis using AI
- Smart Grid Security and Resilience
- Video Surveillance and Tracking Methods
- Software-Defined Networks and 5G
- Neonatal Respiratory Health Research
- Maternal and fetal healthcare
- Abdominal vascular conditions and treatments
- Electrolyte and hormonal disorders
- Eosinophilic Esophagitis
- Liver Disease Diagnosis and Treatment
- Water Quality Monitoring Technologies
- Image Retrieval and Classification Techniques
G Pulla Reddy Dental College & Hospital
2023-2024
Cadila Healthcare (India)
2021-2024
Indian Institute of Technology Guwahati
2018-2022
Hizen Psychiatric Center
2014
Sri Ramachandra Institute of Higher Education and Research
2000
Coronavirus disease (COVID-19) causes an immunosuppressed state and increases risk of secondary infections like mucormycosis. We evaluated clinical features, predisposing factors, diagnosis outcomes for mucormycosis among patients with COVID-19 infection. This prospective, observational, multi-centre study included 47 consecutive mucormycosis, diagnosed during their course illness, between January 3 March 27, 2021. Data regarding demography, underlying medical conditions, illness treatment...
This study rigorously compares the Self-Healing Network Protocol (SHNP) with a traditional protocol, utilizing simulations and data analysis to examine crucial network performance metrics.The research meticulously assesses latency averages—a critical measure of responsiveness; peak transfer rates, indicative network's throughput capabilities; average resource utilization, reflective efficiency; resilience ratings, which gauge ability withstand recover from operational perturbations. The SHNP...
Automatic modulation classification (AMC) is an important part of signal identification for cognitive radio as well military communication. The problem has been approached traditionally using either likelihood-based or feature-based methods. Since the a task, deep learning (DL) based approach can be attractive solution. A number convolutional neural network (CNN) DL algorithms were introduced AMC recently. complex baseband signals that are represented In-phase and Quadrature (IQ) samples...
Automatic modulation classification (AMC) is a significant part of cognitive communication systems. In early researches, likelihood-based (LB) and feature-based (FB) solutions were proposed for the AMC problem. With developments in data-driven approaches, third method based on deep learning (DL) has recently gained prominence among researchers. It shown that convolutional neural network classifiers are very efficient both single input output (SISO) multiple-input multiple-output (MIMO)...
Water quality monitoring and prediction plays an energetic role in the preservation of water resources, decision-making, environmental management. The freshwater resources have been severely impacted by contamination due to rising industrialization rapid economic growth. Quality Index (WQI) is a approach which utilized determine status ground surface systems from physicochemical bacteriological information. In recent years, various researchers discovered achievable ways for accurate using...
Fluid administration is a commonly practiced intervention in the intensive care unit (ICU) with normal saline being preferred fluid. We sought to understand current practice of fluid and choice fluids Indian ICUs its effect on renal outcomes. The Society Critical Care Medicine (ISCCM)-endorsed multicenter prospective observational study was conducted critically ill patients between May 1, 2020, January 31, 2023. SPSS software used for statistical analysis. Private sector hospitals...
Blind signal identification is the backbone of cognitive radio. Cognitive technologies are now being introduced in satellite communication. Symbol rate estimation a critical step blind identification. In this work, we use second-order cyclostationarity for estimating symbol APSK signals used communication standard DVB-S2. The performance estimator investigated under different scenarios described standard.
Online shopping is a recent trend all over the world. These stores depend on search engines, which take keyword from user and returns similar keywords. However, engines are expanded to an image images. The technique behind these known as recommender systems. They typically appear sites "you may also like" segment. If watches YouTube this section shows users' favorite videos, browses Amazon items displays preferred products that matching.The proposed framework presents system, takes input...