Pooja Thakar

@vips.edu

Associate Professor and IT
Vivekananda Institute of Professional Studies

Pooja Thakar


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https://researchid.co/poojathakar

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science
4

Scopus Publications

235

Scholar Citations

4

Scholar h-index

3

Scholar i10-index

Scopus Publications

  • Statistical Analysis on the Performance of Students in a University System in India
    Neetu Goel, Sachin Gupta, Pooja Thakar
    2024 1st International Conference on Data Computation and Communication Icdcc 2024, 2024
    Analyzing students’ academic performance has become a major concern for universities and schools of higher education. It has become critical to plan and manage educational methodology well. This present study aims to analyze the performance of students from pre- to post-COVID-era. Statistical tools and methods such as ANOVA and the t-test are implemented to analyze the students’ performance. Actual results of university examinations for the undergraduate students of four different courses Bachelor's in Business Administration, Bachelor's in Computer Applications, Bachelor's in Commerce, and Bachelor's in Journalism and Mass Communication have been taken from a state university. It has been found that despite the learning rate is slow during covid time, the marks are not reflected the same. Marks are inflated in online evaluation system and things are getting back to pre-covid average marks once normalcy is attained.
  • Machine Learning Model for a Digital Twin for Predictive Maintenance and Optimization in A Fruit Supply Chain
    Vania Goel, Anusha Arora, Ritu Rani, Neetu Goel, Pooja Thakar, Himanshu Arora
    2024 International Conference on Artificial Intelligence and Quantum Computation Based Sensor Applications Icaiqsa 2024 Proceedings, 2024
    The statistics released by the Logistics Bureau of US state that the shipment of fruits in a fruit supply chain bears about a 33% loss during transit due to inefficiencies in the supply chain and mismanagement of stock and resources. This is a critical issue for fruit dealers and demands a mechanism to reduce these losses. This research paper focuses on the development of a machine learning model for the implementation of a digital twin to help fruit storage warehouses prolong the shelf-life and the fruit quality of their stock by utilizing predictive maintenance and optimizing storage conditions. The integration of digital twin with predictive analysis using Decision Tree Regressor, Random Forest Classifier, Naïve Bayes and Supported Vector Machine produces overall accuracy of 82%, thus showing tremendous potential in the model thus, better decision making. Digital twin creates a virtual replica of the supply chain, which, on inputting real-time data for temperature, humidity, and other environmental factors, uses predictive analysis to determine the approximate shelf-life, overall spoilage, and degradation of the fruits. This model is quite helpful for warehouse managers to take inform decisions about strategies to rotate stock and manage the produce inventory. By applying advanced analytics, the model can also predict potential rot conditions and maintenance needs. This study provides valuable insights for future applications in the agri-food sector.
  • Computational intelligence in human-computer interaction–Case study on employability in higher education
    Pooja Thakar, Manisha, Anil Mehta, Neetu Goel, Seema Verma
    Innovations in Artificial Intelligence and Human Computer Interaction in the Digital Era, 2023
  • A unified model of clustering and classification to improve students' employability prediction
    Pooja Thakar, , Anil Mehta, Manisha
    International Journal of Intelligent Systems and Applications, 2017
    Data Mining is gaining immense popularity in the field of education due to its predictive capabilities. But, most of the prior effort in this area is only directed towards prediction of performance in academic results only. Nowadays, education has become employment oriented. Very little attempt is made to predict students’ employability. Precise prediction of students’ performance in campus placements at an early stage can identify students, who are at the risk of unemployment and proactive actions can be taken to improve their performance. Existing researches on students’ employability prediction are either based upon only one type of course or on single University/Institute; thus is not scalable from one context to another. With this necessity, the conception of a unified model of clustering and classification is proposed in this paper. With the notion of unification, data of professional courses namely Engineering and Masters in Computer Applications students are collected from various universities and institutions pan India. Data is large, multivariate, incomplete, heterogeneous and unbalanced in nature. To deal with such a data, a unified predictive model is built by integrating clustering and classification techniques. TwoLevel clustering (k-means kernel) with chi-square analysis is applied at the pre-processing stage for the automated selection of relevant attributes and then ensemble vote classification technique with a combination of four classifiers namely k-star, random tree, simple cart and the random forest is applied to predict students’ employability. Proposed framework provides a generalized solution for student employability prediction. Comparative results clearly depict model performance over various classification techniques. Also, when the proposed model is applied up to the level of the state, classification accuracy touches 96.78% and 0.937 kappa value.

RECENT SCHOLAR PUBLICATIONS

  • Machine Learning Model for a Digital Twin for Predictive Maintenance and Optimization in A Fruit Supply Chain
    V Goel, A Arora, R Rani, N Goel, P Thakar, H Arora
    2024 International Conference on Artificial Intelligence and Quantum … , 2024
    2024
    Citations: 5
  • Statistical Analysis on the Performance of Students in a University System in India
    N Goel, S Gupta, P Thakar
    2024 First International Conference on Data, Computation and Communication … , 2024
    2024
  • A Comparative Analysis of Task Scheduling Algorithms for Resource Management in Cloud Environments
    N Goel, P Thakar, S Gupta, M Kansara
    Empirical Economics Letters 23 (special Issue 1), 131-147 , 2024
    2024
  • Enhancing Agricultural Decision Support with AIoT: A Research Travelogue
    P Thakar, N Goel, Manisha, S Gupta, S Gautam
    Empirical Economics Letters 23 (special Issue 1), 115-129 , 2024
    2024
  • Basics of Python Programming
    N Goel, S Gupta, P Thakar
    2023
  • Computational intelligence in human-computer interaction–Case study on employability in higher education
    P Thakar, A Mehta, N Goel, S Verma
    Innovations in Artificial Intelligence and Human-Computer Interaction in the … , 2023
    2023
  • Robust Prediction Model for Multidimensional and Unbalanced Datasets
    P Thakar, A Mehta, Manisha
    https://ssrn.com/abstract=3364973 1 (2) , 2019
    2019
    Citations: 4
  • Unified Prediction Model for Employability in Indian Higher Education System
    P Thakar, A Mehta, Manisha
    Journal of Advanced Research in Dynamical and Control Systems 10 (02-Special … , 2018
    2018
    Citations: 1
  • A Unified Model of Clustering and Classification to Improve Students’ Employability Prediction
    P Thakar, A Mehta, Manisha
    International Journal of Intelligent Systems and Applications (IJISA) 9 (9 … , 2017
    2017
    Citations: 50
  • Cluster Model for parsimonious selection of variables and enhancing Students' Employability Prediction
    P Thakar, A Mehta, Manisha
    International Journal of Computer Science and Information Security 14 (12), 611 , 2016
    2016
    Citations: 4
  • Role of Secondary Attributes to Boost the Prediction Accuracy of Students’ Employability Via Data Mining
    P Thakar, PDA Mehta, D Manisha
    https://arxiv.org/ftp/arxiv/papers/1708/1708.02940.pdf 6 (11), 84-90 , 2015
    2015
    Citations: 23
  • Manisha-“Performance Analysis and prediction in educational Data mining: A research travelogue” International Journal of Computer Applications (0975–8887) Volume 110–No. 15
    P Thakar, A Mehta
    January , 2015
    2015
    Citations: 4
  • Performance analysis and prediction in educational data mining: a research travelogue
    P Thakar, A Mehta, Manisha
    arXiv preprint arXiv:1509.05176 110 (15), 60-68 , 2015
    2015
    Citations: 144
  • Anil Mehta Manisha
    P Thakar
    Psychology 39, 01-10 , 2013
    2013
  • Knowledge Management: An Innovative Tool for Business Intelligence
    P Thakar
    Disha Journal of Management , 2011
    2011

MOST CITED SCHOLAR PUBLICATIONS

  • Performance analysis and prediction in educational data mining: a research travelogue
    P Thakar, A Mehta, Manisha
    arXiv preprint arXiv:1509.05176 110 (15), 60-68 , 2015
    2015
    Citations: 144
  • A Unified Model of Clustering and Classification to Improve Students’ Employability Prediction
    P Thakar, A Mehta, Manisha
    International Journal of Intelligent Systems and Applications (IJISA) 9 (9 … , 2017
    2017
    Citations: 50
  • Role of Secondary Attributes to Boost the Prediction Accuracy of Students’ Employability Via Data Mining
    P Thakar, PDA Mehta, D Manisha
    https://arxiv.org/ftp/arxiv/papers/1708/1708.02940.pdf 6 (11), 84-90 , 2015
    2015
    Citations: 23
  • Machine Learning Model for a Digital Twin for Predictive Maintenance and Optimization in A Fruit Supply Chain
    V Goel, A Arora, R Rani, N Goel, P Thakar, H Arora
    2024 International Conference on Artificial Intelligence and Quantum … , 2024
    2024
    Citations: 5
  • Robust Prediction Model for Multidimensional and Unbalanced Datasets
    P Thakar, A Mehta, Manisha
    https://ssrn.com/abstract=3364973 1 (2) , 2019
    2019
    Citations: 4
  • Cluster Model for parsimonious selection of variables and enhancing Students' Employability Prediction
    P Thakar, A Mehta, Manisha
    International Journal of Computer Science and Information Security 14 (12), 611 , 2016
    2016
    Citations: 4
  • Manisha-“Performance Analysis and prediction in educational Data mining: A research travelogue” International Journal of Computer Applications (0975–8887) Volume 110–No. 15
    P Thakar, A Mehta
    January , 2015
    2015
    Citations: 4
  • Unified Prediction Model for Employability in Indian Higher Education System
    P Thakar, A Mehta, Manisha
    Journal of Advanced Research in Dynamical and Control Systems 10 (02-Special … , 2018
    2018
    Citations: 1
  • Statistical Analysis on the Performance of Students in a University System in India
    N Goel, S Gupta, P Thakar
    2024 First International Conference on Data, Computation and Communication … , 2024
    2024
  • A Comparative Analysis of Task Scheduling Algorithms for Resource Management in Cloud Environments
    N Goel, P Thakar, S Gupta, M Kansara
    Empirical Economics Letters 23 (special Issue 1), 131-147 , 2024
    2024
  • Enhancing Agricultural Decision Support with AIoT: A Research Travelogue
    P Thakar, N Goel, Manisha, S Gupta, S Gautam
    Empirical Economics Letters 23 (special Issue 1), 115-129 , 2024
    2024
  • Basics of Python Programming
    N Goel, S Gupta, P Thakar
    2023
  • Computational intelligence in human-computer interaction–Case study on employability in higher education
    P Thakar, A Mehta, N Goel, S Verma
    Innovations in Artificial Intelligence and Human-Computer Interaction in the … , 2023
    2023
  • Anil Mehta Manisha
    P Thakar
    Psychology 39, 01-10 , 2013
    2013
  • Knowledge Management: An Innovative Tool for Business Intelligence
    P Thakar
    Disha Journal of Management , 2011
    2011