A5058193125- Air Quality Monitoring and Forecasting
- Graphene and Nanomaterials Applications
- Air Quality and Health Impacts
- Cardiac Ischemia and Reperfusion
- COVID-19 impact on air quality
- Vehicle emissions and performance
- Water Quality Monitoring Technologies
- Essential Oils and Antimicrobial Activity
- Hydrological Forecasting Using AI
- Graphene research and applications
- Carbon and Quantum Dots Applications
- Fault Detection and Control Systems
- Nanoparticle-Based Drug Delivery
- Vitamin C and Antioxidants Research
- Advanced Control Systems Optimization
- Smart Agriculture and AI
- Phytochemistry and Biological Activities
- Neural Networks and Applications
- Nitric Oxide and Endothelin Effects
- Nanoparticles: synthesis and applications
- COVID-19 epidemiological studies
- Conducting polymers and applications
- Medicinal Plants and Neuroprotection
- Hydrogen's biological and therapeutic effects
- Control Systems and Identification
Graphic Era University
2020-2024
University of Lucknow
2005-2007
This research work focuses on the development and comparison of soil fertility classification models based Ensemble methods. study utilizes machine learning algorithms for analyzing assessing levels, a vital feature in sustainable agriculture. The are developed using three different methods MATLAB. ensemble approach has ability handling complex datasets. It provides very accurate anticipations. considers factors viz. pH, Nitrogen concentration, Phosphorous concentration classification....
The Nainital lake of Uttarakhand is the subject this research study. This study has attempted to predict electrical conductivity water lake. prime factors on which depend are ionic concentration, pH, temperature, and total dissolved solids. value indicates pollution level water. In present work, neural network regression tree based prediction models for have been developed in MATLAB by using available data. A comparative analysis both also carried out.
Abstract Reduced graphene oxide (rGO) was prepared from waste plastic using the two steps pyrolysis method and subsequently functionalized with ethylene diamine (EDA) to develop amino‐functionalized rGO (EDA‐rGO). To make thermal mechanical properties more proficient, EDA‐rGO further incorporated as a nanofiller into low‐density polyethylene (LDPE) matrix melt mixing followed by hot‐pressing. A variety of analytical methods, such FT‐IR, XRD, XPS, DSC, TGA, DMA, Raman spectroscopy, HRTEM,...
The analysis of the lockdown effect during covid-19 pandemic on ambient quality air Uttarakhand state India, has been performed. combination SO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> , NO and particulate matter (P.M.10) indicates characteristics. clustering capability K-means technique is investigated with two different approaches measuring distance using MATLAB. first approach termed Euclidean second one cosine distance. data,...
The Kumaun part of Uttarakhand is rich lakes and ponds. These water bodies are prime source supply to the people this region. But presently these severely affected by pollution so ultimately have become hazardous for in present paper addresses hardness parameter An attempt done research work predict with known values pH calcium concentration. prediction models been developed using AI (Artificial intelligence) ML (Machine Learning) techniques MATLAB. Their performance also evaluated compared.
Currently the water pollution in lakes has become a burning issue which significant connection with health and hygiene of living beings. Much research is going on pertaining to estimation mitigation this pollution. Biological Oxygen Demand (BOD) known be one various parameters are affected by The prediction BOD for assessment quality subject article. AI machine learning techniques used develop models, BOD, MATLAB.
Abstract This study is to develop a nanocarrier based on polyvinylpyrrolidone (PVP)‐functionalized graphene oxide (GO–PVP), loaded with both curcumin (CUR) and quercetin (QSR), then its performance compared nanocarriers carrying the drugs separately. The also aimed investigate cytotoxic effects of these HeLa cancer cells. To achieve this, GO was synthesized using modified version Hummer's method subsequently functionalized PVP. Drug loading onto GO–PVP achieved through hydrophobic...
This research is addressing a very critical parameter Air Quality Index (AQI) having severe impact on human health. The management of AQI utmost importance in existing environmental discourse, demanding reliable and accurate prediction models for AQI. contributing considerably this area by exploring two different approaches modeling. One the classical approach which known its simplicity that Linear Regression model. Another one more advanced technique, integrating fuzzy logic & neural...
The present article is based on the application of artificial neural network (ANN) in pattern recognition and classification. ANN belongs to family AI (Artificial Intelligence). In general, an composed single or multiple hidden neuron layers between input output layers. way a human brain trained, training also performed exactly same by showing it some patterns. There are variety algorithms for ANN. research two different used viz. competitive learning, scaled conjugate gradient (SCG)...
The effect of reperfusion patients with myocardial infarction on the levels some anti-oxidant enzymes, total thiols, malondialdehyde formation in erythrocytes and plasma ascorbate have been investigated. Significantly decreased activities catalase superoxide dismutase thiols RBC's ascorbic acid suggest that infarcted myocardium leads to oxidative stress conditions wherein mechanisms become less effective coping insult. This view is further supported by observation post reperfused there a...
The subject of present paper is the rainfall prediction with knowledge two input parameters on which strongly connected i.e temperature and humidity. forecasting, in India, a challenging task due to significantly fluctuating nature weather here. In work, artificial intelligence (AI) techniques are used train model for forecasting amount rainfall. considered parameters, this model, models have been designed, using MATLAB, different AI approaches, one subtractive clustering another...
The air pollution has caused a critical threat to the environment and human health, making accurate timely quality monitoring very imperative. This research work is presenting an innovative approach of estimation Air Quality Index (AQI) based on Artificial Intelligence Machine Learning techniques implemented in MATLAB. AQI metric which quantifies level guide public health policies. begins by gathering secondary data from available sources. covers various parameters viz. SO <inf...