Harpreet Kaur

Lovely Professional University

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i-10 index

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Co-Authors

Sunny Thukral

DAV University

Rajat Kalra

University of Minnesota

Awalpreet S. Chadha

University of Alabama at Birmingham

Taiwo Soewu

Olabisi Onabanjo University

Pankaj Arora

Birmingham VA Medical Center

Rajkumar Doshi

St. Joseph’s University Medical Center

Sunil Krishnan

The University of Texas Health Science Center at Houston

Nirav Patel

University of Alabama at Birmingham

Chetna Vaid Kwatra

Lovely Professional University

Amneet Kaur

DAV University

Cooperative Institutions

University College London

National Health Service

Lovely Professional University

Cardiff University

Post Graduate Institute of Medical Education and Research

University of Alabama at Birmingham

University of Birmingham

King's College London

Dayanand Medical College & Hospital

Heartlands Hospital

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Energy aware Internet of Things using Gaussian membership function

Sumeet Singh Harpreet Kaur

The Internet of things (IoT) evolves when everyday ordinary objects have inter-connected microchips inside them. The existing literature has ignored the use of Bell shaped as membership functions in fuzzy logic based Internet of things. These shapes have tendency to increase accuracy and precision of Internet of things. The existing methodologies involved traditional triangular membership functions that used fixed parameters. If these parameters get changed, results would lead to reduction in energy consumption. To give smooth move between levels, Bell shaped membership functions can be utilized. They can guide for firing the maximum number of rules in the rule base and from now on a more precise representation of the input-output relationship is accomplished. In this paper we have designed a Gaussian membership function to design and implement Internet of things. Experimental results clearly indicate that the proposed technique outperforms over the available technique.

Representation

Base (topology)

10.1109/pdgc.2016.7913138

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Citations (3)

Comparison on Different Image Enhancement Techniques

Ashima Anand Harpreet Kaur

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Local maximum edge cooccurance patterns for image indexing and retrieval

Harpreet Kaur Vijay K. Dhir

Current research work proposes a new feature descriptor, the local maximum edge co occurrence patterns (LMECoP) for feature extraction for retrieval of images from large database. The LMECoP, firstly collects the local maximum edge information between the referenced pixel and its possible neighbors, then the binary patterns are formed from the extracted maximum edge information. Further the proposed method collects the cooccurrence matrix on the maximum edge information response and to improve the performance of method, the amalgamation of color information and texture information as features is also anticipated in this paper. For color based feature, we convert the RGB color space in to HSV color space and standard histograms are collected for each color space (H, S and V). These color features (HSV histogram) and texture feature (LMECoP) are integrated for the generation final feature vector. The evaluation of LMECoP is performed by tested on Corel-5K database based on average retrieval precision (ARP). The results after investigation it is apparent that the LMECoP outperforms the other existing methods in terms of ARP on Corel-5K database.

HSL and HSV

RGB color model

Color histogram

Feature (linguistics)

Local Binary Patterns

RGB color space

Feature vector

10.1109/iconsip.2016.7857469

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Prevalence of Depression, Anxiety, Stress and Suicide Ideation Among Undergraduate Medical Students in India: A Systematic Review and Meta-Analysis

National Journal of Community Medicine (2024)

Harpreet Kaur Varsha Gupta Aseem Garg Sangeeta Bijaya Kumar Padhi

Background: Studies reported significant levels of psychological morbidity from across the globe among undergraduate medical students. Present meta-analysis aimed to provide a most up to date comprehensive insight into the prevalence of depression, stress, anxiety and suicidal ideation among undergraduate medical students in India. Material and Methods: A systematic search was conducted in three databases PubMed, Scopus and Google Scholar from July 2023 to August 2023. Quality of included studies (43 studies, N=15557) was assessed using modified Newcastle-Ottawa scale and data was analyzed using MetaXL version 5.3. Pooled estimates with 95% confidence intervals were determined using the random-effects model. Results: The pooled prevalence of depression, anxiety, stress and suicide ideation was 48% (95% CI: 41-55%) (P 0.000, I2 = 98%), 54% (95% CI 42-58%) (P =0.00, I2 = 98%), 50% (95% CI 45-63%) (P =0.001, I2 = 99%) and 21% (95% CI: 9-35%) (P =0.000, I2 = 98%) respectively. Subgroup analysis showed more females than males students were affected from depression, anxiety, stress and suicide ideation. Conclusion: High prevalence of psychological disorders in medical students in India emphasize the need for the counselling services to control this morbidity and implement long term policies and programs at institutional level.

Depression

Ideation

10.55489/njcm.151020244529

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Comparative study of emotional intelligence between school level boys and girls athletes

International Journal of Physical Education Sports and Health (2019)

Harpreet Kaur Pritam Singh

For the purpose of the study was to find out the significant difference of emotional intelligence between school level boys and girls athletes. The survey method through the technique of questionnaire of emotional intelligence (hyde et al. 2001) had been adopted to collect the significant data for this study. The researcher collected the data on forty (n=40) group– A: male (n=20), group-B: female (n=20) as subjects from Cambridge international school chotti baradari dist jalandhar. The age level of the subjects ranged from 14 to 17 years. The collected data wesre put to statistical treatment applying t’ test to find out the differences, if any between the schools level boys and girls athletes. The level of significance was set at 0.05. The results come out that there is a significant difference of emotional intelligence between school level boys and girls athletes.

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The Art of Appealing Customer Attitude by Dint of Neuro-Advertising

Apple Academic Press eBooks (2024)

Harpreet Kaur Pooja Jain

10.1201/9781003569008-23

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Fludarabine, Cytarabine, Granulocyte Colony-Stimulating Factor, and Idarubicin With Gemtuzumab Ozogamicin Improves Event-Free Survival in Younger Patients With Newly Diagnosed AML and Overall Survival in Patients With NPM1 and FLT3 Mutations

Journal of Clinical Oncology (2024)

Nigel H. Russell Charlotte S. Wilhelm-Benartzi Jad Othman Richard Dillon Steven Knapper

To determine the optimal induction chemotherapy regimen for younger adults with newly diagnosed AML without known adverse risk cytogenetics.

Idarubicin

Gemtuzumab ozogamicin

Flag (linear algebra)

Regimen

NPM1

10.1200/jco.23.00943

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Citations (13)

Novel Technique of Clustering based Reac-In Routing with Probabilistic Approach

International journal of advance research, ideas and innovations in technology (2016)

Amandeep Kaur Harpreet Kaur

The study shows that, to save energy and improve bandwidth efficient cluster-based topology, and scalability of the network, but difficult to balance the network after the running of the period of time, the remaining energy of all nodes. In addition, with increasing WSN sensor nodes, the path of the search space to increase exponentially therefore seek effective heuristic algorithm to solve the clustering and routing in WSN is very important. Probabilistic approach in Reac-In algorithm is a new kind of optimization algorithm, which draws on the principles of Iterative change the cluster size and cluster head by optimization method.(1) broad access to information at home and abroad, an overview of the wireless sensor networks and its characteristics, summed up the WSN routing features and design requirements, analysis of current major the strengths and weaknesses of the routing protocols, and pointed out that the current research hotspots and unresolved problems. (2) We were studied on how to dynamically determine the optimal number of clusters, to analyze the factors affecting the optimal number of clusters. Simulations results show that Reac-In improve the optimal number of clusters compared to the life cycle of the network to be extended. (3) considering the degree of energy balance remaining node residual energy and network energy consumption is proposed based on the right to non-linear decreasing Presented with energy inspired based the priority encoding PSO routing algorithm to reduce the probability of an invalid path and improve the reliability of the network routing to provide new ideas for WSN routing optimization.

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Early Detection of Gynecological Malignancies Using Ensemble Deep Learning Models: ResNet50 and Inception V3

Informatics in Medicine Unlocked (2025)

Chetna Vaid Kwatra Harpreet Kaur Monika Mangla Arun Kumar Singh Swapnali N Tambe

Ensemble Learning

10.1016/j.imu.2025.101620

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Intrusion detection system based on machine learning models: An empirical analysis

AIP conference proceedings (2023)