Kinjal Chaudhari

Employment

• Adani Institute of Infrastructure Engineering Assistant Professor
  2022 - Present
• Nirma University of Science and Technology Institute of Technology Assistant Professor
  2016 - 2017

Education

• Nirma University Ph.D. Scholar
  2017 - Present

Projects & Funding

Projects & funding information is unavailable.

Publications (15)

• Applicability of genetic algorithms for stock market prediction: A systematic survey of the last decade
  Computer Science Review 2024 23 citations DOI: 10.1016/j.cosrev.2024.100652
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• Neural network systems with an integrated coefficient of variation-based feature selection for stock price and trend prediction
  Expert Systems with Applications 2023 77 citations DOI: 10.1016/j.eswa.2023.119527
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• Data fusion with factored quantization for stock trend prediction using neural networks
  Information Processing & Management 2023 24 citations DOI: 10.1016/j.ipm.2023.103293
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• Improving the Performance of Sentiment Analysis Using Enhanced Preprocessing Technique and Artificial Neural Network
  IEEE Transactions on Affective Computing 2022 36 citations DOI: 10.1109/TAFFC.2022.3206891
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• Information fusion-based genetic algorithm with long short-term memory for stock price and trend prediction
  Applied Soft Computing 2022 44 citations DOI: 10.1016/j.asoc.2022.109428
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• A Comprehensive Survey on Portfolio Optimization, Stock Price and Trend Prediction Using Particle Swarm Optimization
  Archives of Computational Methods in Engineering 2021 123 citations DOI: 10.1007/s11831-020-09448-8
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• A Comprehensive Survey on Travel Recommender Systems
  Archives of Computational Methods in Engineering 2020 94 citations DOI: 10.1007/s11831-019-09363-7
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• Predicting stock trend using an integrated term frequency–inverse document frequency-based feature weight matrix with neural networks
  Applied Soft Computing 2020 88 citations DOI: 10.1016/j.asoc.2020.106684
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• Fusion in stock market prediction: A decade survey on the necessity, recent developments, and potential future directions
  Information Fusion 2020 213 citations DOI: 10.1016/j.inffus.2020.08.019
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• A Comprehensive Survey on Energy-Efficient Power Management Techniques
  Procedia Computer Science 2020 18 citations DOI: 10.1016/j.procs.2020.03.432
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