Avneet Kaur

ORCID: 0000-0002-9274-4474
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About
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Research Areas
  • Cognitive Radio Networks and Spectrum Sensing
  • Neonatal Respiratory Health Research
  • Advanced MIMO Systems Optimization
  • Infant Nutrition and Health
  • Metaheuristic Optimization Algorithms Research
  • Advanced Photonic Communication Systems
  • Optical Network Technologies
  • Advanced Optical Network Technologies
  • Wireless Communication Networks Research
  • Smart Grid Energy Management
  • Electric Power System Optimization
  • Sepsis Diagnosis and Treatment
  • Infant Development and Preterm Care
  • Energy Efficient Wireless Sensor Networks
  • Advanced Multi-Objective Optimization Algorithms
  • Carbon dioxide utilization in catalysis
  • Advanced Image and Video Retrieval Techniques
  • 3D Shape Modeling and Analysis
  • Infrastructure Maintenance and Monitoring
  • Respiratory Support and Mechanisms
  • Orthodontics and Dentofacial Orthopedics
  • Child Nutrition and Water Access
  • Catalysis for Biomass Conversion
  • Evolutionary Algorithms and Applications
  • Fuel Cells and Related Materials

Sant Longowal Institute of Engineering and Technology
2021-2025

Langara College
2024

University of Prince Edward Island
2024

Guru Teg Bahadur Hospital
2024

Guru Gobind Singh Indraprastha University
2024

Apollo Cradle For Women & Children
2020-2023

Thapar Institute of Engineering & Technology
2017-2022

Jaypee Institute of Information Technology
2021

Safdarjang Hospital
2020

Apollo Hospitals
2019

10.1007/s12652-019-01324-z article EN Journal of Ambient Intelligence and Humanized Computing 2019-05-24

State estimation involves finding the states of a noisy dynamical system with initial condition using measurements, given model system. Many methods exist for state systems. For linear systems white Gaussian noises known mean and variance, Kalman filtering is an optimal algorithm. While several extensions filter to nonlinear exist, either method not or calculation feasible. Several approaches neural networks have been developed in recent years. these seem work numerically, stability...

10.48550/arxiv.2502.04551 preprint EN arXiv (Cornell University) 2025-02-06

Alkali and alkaline metal (Li, Na, K, Ca, Mg)-loaded zirconium oxide catalysts were prepared by the wet impregnation method. All employed as active heterogeneous for transesterification of glycerol (GL) with dimethyl carbonate (DMC) producing (GLC). The catalyst 20 wt % loading Li on ZrO2 showed a maximum catalytic activity 100% selectivity toward GLC. structure basic properties studied X-ray diffraction, high-resolution transmission electron microscopy, photoelectron spectroscopy,...

10.1021/acs.iecr.9b05747 article EN Industrial & Engineering Chemistry Research 2020-01-17

ABSTRACT Background: The aim of the study was to compare prefeed abdominal circumference (AC) and gastric residual volume (GRV) as a measure feed intolerance in very‐low‐birth‐weight infants (VLBW). Methods: Eighty VLBW were randomized 2 groups; monitored by measuring either GRV group or AC group. primary outcome time full enteral feeds (180 mL · kg −1 day ). Other main measures interruption days, duration parenteral nutrition, incidence culture positive sepsis, necrotizing enterocolitis,...

10.1097/mpg.0000000000000576 article EN Journal of Pediatric Gastroenterology and Nutrition 2014-09-18

This paper delves into the expanding domain of artificial intelligence in healthcare, spotlighting pivotal role AI-driven Chatbot systems. These Chatbots represent not just conversational agents but transformative forces poised to revolutionize healthcare. Amid mounting challenges securing timely medical consultations, our introduces an innovative concept: a empowered by AI. Imagine that transcends its traditional and undertakes disease diagnosis delivers essential insights before users...

10.23919/indiacom61295.2024.10498497 article EN 2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) 2024-02-28

Premature neonates hospitalized in the neonatal intensive care unit (NICU) have high nutritional needs to ensure optimal growth and development. Monitoring adherence guidelines providing personalized recommendations are essential for promoting their health. However, ensuring consistent these is challenging. To address this, we developed a clinical decision support system using an ontology rule-based approach offer nutrition preterm infants NICU. The Nutrition Recommendation Ontology (NRO)...

10.1109/access.2023.3341403 article EN cc-by-nc-nd IEEE Access 2023-01-01

Thrombocytopenia is defined as platelet count less than 150×10(9)/L, it has a greater incidence in Intensive Care Units (ICUs) compared to wards and its most common cause increased consumption.To investigate of thrombocytopenia, transfusions requirement, associated diseases relationship between thrombocytopenia mortality.Eleven months hospital records October 2013 August 2014 the PICU tertiary care teaching was investigated retrospectively 275 critically ill children formed sample.Odds ratio...

10.7860/jcdr/2015/14590.6921 article EN cc-by-nc-nd JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH 2015-01-01

Adaptation of sensing period for licensed channel is one the key requirements to maximise utilisation transmission opportunities by a secondary user. A novel objective function evaluation method optimisation in cognitive radio network formulated. recently introduced technique, namely Jaya algorithm has been used achieving optimum value order discovery spectrum while maintaining overhead and interference time within user defined value. This multiobjective problem involving different...

10.1049/el.2017.2548 article EN Electronics Letters 2017-08-05

Abstract Objectives The objectives of this study are to construct the high definition phenotype (HDP), a novel time-series data structure composed both primary and derived parameters, using heterogeneous clinical sources determine whether different predictive models can utilize HDP in neonatal intensive care unit (NICU) improve mortality prediction settings. Materials Methods A total 49 parameters were collected from July 2018 May 2020 eight level-III NICUs. From 1546 patients, 757 patients...

10.1093/jamiaopen/ooab004 article EN cc-by-nc JAMIA Open 2021-01-01

This paper presents Ensembled Snake Optimiser (ESO), to optimise the scheduling of mixed energy generation from coordinated thermal, hydro, pumped-storage and solar units. It tackles operational constraints while minimising non-convex non-linear objectives. To reduce pollutants emitted operating cost thermal units, problem uses committed units generate power, hydro maintain water levels, maximise available volume. Utilising volume actively exceeding power-generating limit are primary...

10.1080/01430750.2024.2420092 article EN International Journal of Ambient Energy 2024-11-04

Human milk fortification in preterm babies has become a standard of care developed countries. Use human fortifier (HMF) very-low-birthweight infants is not routine practice India. There are concerns about high osmolality, feed intolerance, necrotizing enterocolitis, risk contamination and added cost associated with use HMF. limited data from India which address the issue safety short-term benefits fortification. This chapter highlights issues related to our country.

10.1159/000365904 article EN Nestlé Nutrition Institute Workshop series 2015-01-01

Critical care units (CCUs) with extensive use of various monitoring devices generate massive data. To utilize the valuable information these devices; data are collected and stored using systems like clinical system laboratory management system. These proprietary, allow limited access to their database and, have vendor-specific implementation. In this study, we focus on developing an open-source web-based meta-data repository for CCU representing stay patient relevant details.After named...

10.1093/jamiaopen/ooz064 article EN cc-by-nc JAMIA Open 2019-11-25
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