Debasis Sarkar
Datos Biográficos
| ID | 9804230 |
|---|---|
| NOMBRE | Debasis Sarkar |
| NOMBRES | Debasis |
| APELLIDO | Sarkar |
| FIRMA | SARKAR D |
| AFILIACIONES | Medical College and Hospital, Kolkata |
| VERIFICADO | No |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2023 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 0 |
Development of a machine learning model for air quality estimation considering key performance indicators for an Indian urban region
This paper aims to develop a Machine Learning (ML)-based framework for estimating urban air quality using Key Performance Indicators (KPIs) influencing pollution levels in Delhi, India. The considered factors include geographic coordinates, population density, time-based traffic density, land-use type (residential, commercial, industrial), meteorological conditions, and seasonal variation. Ten ML and Deep Learning (DL) models were evaluated: Extr…
Post Covid sequelae among Covid-19 survivors
INTRODUCTION: The effects of COVID-19 infection persist beyond the active phase. Comprehensive description and analysis of the post COVID sequelae in various population groups are critical to minimise the long-term morbidity and mortality associated with COVID-19. This analysis was conducted with an objective to estimate the frequency of post COVID sequelae and subsequently, design a framework for holistic management of post COVID morbidities. ME…
Sin obras prominentes en esta página.
Post Covid sequelae among Covid-19 survivors
INTRODUCTION: The effects of COVID-19 infection persist beyond the active phase. Comprehensive description and analysis of the post COVID sequelae in various population groups are critical to minimise the long-term morbidity and mortality associated with COVID-19. This analysis was conducted with an objective to estimate the frequency of post COVID sequelae and subsequently, design a framework for holistic management of post COVID morbidities. ME…
Development of a machine learning model for air quality estimation considering key performance indicators for an Indian urban region
This paper aims to develop a Machine Learning (ML)-based framework for estimating urban air quality using Key Performance Indicators (KPIs) influencing pollution levels in Delhi, India. The considered factors include geographic coordinates, population density, time-based traffic density, land-use type (residential, commercial, industrial), meteorological conditions, and seasonal variation. Ten ML and Deep Learning (DL) models were evaluated: Extr…
Air Quality and Health Impacts (1 obras) · Air quality index (1 obras) · Air Quality Monitoring and Forecasting (1 obras) · Artificial neural network (1 obras) · Boosting (machine learning) (1 obras) · Categorical variable (1 obras) · Comorbidity (1 obras) · COVID-19 impact on air quality (1 obras) · Decision tree (1 obras) · Disease (1 obras)