A5100511130- Remote Sensing in Agriculture
- Smart Agriculture and AI
- Leaf Properties and Growth Measurement
- Air Quality and Health Impacts
- Air Quality Monitoring and Forecasting
- Gene expression and cancer classification
- Remote Sensing and LiDAR Applications
- Genetics and Plant Breeding
- Seed Germination and Physiology
- Sustainable Agricultural Systems Analysis
- Soil erosion and sediment transport
- Liver Disease Diagnosis and Treatment
- Plant Genetic and Mutation Studies
- Hydrological Forecasting Using AI
- Rice Cultivation and Yield Improvement
- COVID-19 impact on air quality
- Electron and X-Ray Spectroscopy Techniques
- Molecular Communication and Nanonetworks
- Energy Load and Power Forecasting
- Smart Grid Security and Resilience
- Remote Sensing and Land Use
- Analytical Chemistry and Chromatography
- Agricultural Innovations and Practices
- Wheat and Barley Genetics and Pathology
- Industrial Vision Systems and Defect Detection
Indian Institute of Technology Patna
2023-2025
Institute of Mental Health and Hospital
2022
Karnatak University
2006
To meet the ever-increasing demand for food, there is a huge concern about selection of superior genotypes with enhanced resilience to abiotic stress. However, choice/selection suitable genotype/line complex due significant interaction environmental factors. Aiming few traits may simplify statistical analysis, however using multiple quite difficult. Furthermore, use any single index bias genotypes. Here, we proposed one method combined approach four indexes such as, multi-trait...
Acute liver failure (ALF) and acute-on-chronic LF (ACLF) are prevalent hepatic emergencies characterized by an increased susceptibility to bacterial infections (BI), despite significant systemic inflammation. Literature indicates that 30%–80% of ALF patients 55%–81% ACLF develop BI, attributed immunological dysregulation. Bacterial sepsis in these is associated with adverse clinical outcomes, including prolonged hospitalization mortality. Early detection critical; however, distinguishing...
Tuberculosis (TB) is still a major public health issue in developing countries, where it causes heavy disease burden. Although current anti-TB treatment regimens demonstrate high efficacy, the hepatotoxic potential of first-line drugs (ATDs) - particularly isoniazid, rifampicin, and pyrazinamide—poses considerable risk, as these agents are associated with significant incidence ATD-induced liver injury (AT-DILI). The clinical presentation AT-DILI can range from asymptomatic elevations serum...
Convolutional Neural Networks have demonstrated state-of-the-art performance in various image classification and computer vision-related tasks. Plant disease detection is one of the essential areas classification. Though many models been proposed for efficient plant images, there a dire need to develop an mechanism based on deep learning, which has fewer parameters implement algorithm mobile devices. In this manuscript, we propose ConvPlant-Net, Network system that uses combination...
Two simple, rapid and sensitive extraction spectrophotometric methods have been developed for the assay of trazodone hydrochloride (TRH) in pure pharmaceutical formulations. These are based on formation chloroform soluble ion-association complexes TRH with bromocresol green (BCG) methyl orange (MO) a KCl-HCl buffer pH 1.5 (for BCG) NaOAc-HCl 3.29 MO) absorption maximum at 415 nm 422 BCG MO, respectively. The reaction conditions were optimized to obtain color intensity. absorbance was found...
In this paper, we propose a multi-node molecular communication (MC) system, which consists of point source transmitter (TX), passive receiver, and multiple silent absorbing targets (SATs), tend to absorb molecules. Based on the aforementioned use probability equivalent modeling (PEM) approach model MC system's channel determine receiver's impulse response (CIR). CIR knowledge is required design detection, equalization, localization schemes. Using CIR, derive number molecules observed by...
Background: OCD is a very debilitating illness that difficult to treat. Uses of rTMS have been studied in the last decade, but its long-term efficacy as an adjunctive modality still under trial. Objectives: 1) compare low-frequency true over SMA patients with sham stimulation. 2) observe effects r-TMS OCD. Methodology: it was prospective randomized, double-blind, sham-controlled study, and 30 were selected from outpatient department Institute mental health hospital, Agra. Patients diagnosed...