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1,500 results on '"Yadav, Arun"'

15. Systematic Review of Wavelet Tree Compression Techniques

Author

Dixit, Utkarsh, Gupta, Sonam, Yadav, Arun Kumar, Yadav, Divakar, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Bhattacharya, Abhishek, editor, Dutta, Soumi, editor, Dutta, Paramartha, editor, and Samanta, Debabrata, editor

Published
2024
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16. Enhancing Legal Document Understanding Through Text Summarization: A Study on NLP and Wavelet Tree Techniques

Author

Dixit, Utkarsh, Gupta, Sonam, Yadav, Arun Kumar, Yadav, Divakar, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Dutta, Soumi, editor, Bhattacharya, Abhishek, editor, Shahnaz, Celia, editor, and Chakrabarti, Satyajit, editor

Published
2024
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17. Automatic Brain Tumor Segmentation from MRI Images Using Variants of U-Net Model

Author

Verma, Akash, Yadav, Arun Kumar, Akshay, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Shaw, Rabindra Nath, editor, Das, Sanjoy, editor, Paprzycki, Marcin, editor, Ghosh, Ankush, editor, and Bianchini, Monica, editor

Published
2024
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18. Empowering Sustainable Grain Processing for Food Security

Author

Krupavathi, D., Mudhol, Arun, Reddy, Karunakar, Pranavi, Sree Sai, Kaveri, Yadav, Arun Kumar, Appolloni, Andrea, Series Editor, Caracciolo, Francesco, Series Editor, Ding, Zhuoqi, Series Editor, Gogas, Periklis, Series Editor, Huang, Gordon, Series Editor, Nartea, Gilbert, Series Editor, Ngo, Thanh, Series Editor, Striełkowski, Wadim, Series Editor, Rani Nimmagadda, Meena, editor, S., Catherine, editor, Challapalli, Praseeda, editor, and Sasirekha, V., editor

Published
2024
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19. Analyzing the Impact of Extractive Summarization Techniques on Legal Text

Author

Dixit, Utkarsh, Gupta, Sonam, Yadav, Arun Kumar, Yadav, Divakar, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Swaroop, Abhishek, editor, Polkowski, Zdzislaw, editor, Correia, Sérgio Duarte, editor, and Virdee, Bal, editor

Published
2024
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22. Univariate and Multivariate LSTM Model for Short-Term Stock Market Prediction

Author

Kuber, Vishal, Yadav, Divakar, and Yadav, Arun Kr

Subjects
Quantitative Finance - Statistical Finance, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

Designing robust and accurate prediction models has been a viable research area since a long time. While proponents of a well-functioning market predictors believe that it is difficult to accurately predict market prices but many scholars disagree. Robust and accurate prediction systems will not only be helpful to the businesses but also to the individuals in making their financial investments. This paper presents an LSTM model with two different input approaches for predicting the short-term stock prices of two Indian companies, Reliance Industries and Infosys Ltd. Ten years of historic data (2012-2021) is taken from the yahoo finance website to carry out analysis of proposed approaches. In the first approach, closing prices of two selected companies are directly applied on univariate LSTM model. For the approach second, technical indicators values are calculated from the closing prices and then collectively applied on Multivariate LSTM model. Short term market behaviour for upcoming days is evaluated. Experimental outcomes revel that approach one is useful to determine the future trend but multivariate LSTM model with technical indicators found to be useful in accurately predicting the future price behaviours., Comment: 24 pages, 20 figures, 8 tables

Published
2022

23. Comparison of analgesic effects of pericapsular nerve group block and fascia iliaca compartment block during hip arthroplasty: A systematic review and meta-analysis of randomised controlled trials

Author

Prakash, Jay, Rochwerg, Bram, Saran, Khushboo, Yadav, Arun K., Bhattacharya, Pradip Kumar, Kumar, Amit, Chaudhuri, Dipayan, and Priye, Shio

Subjects
Morphine -- Research, Arthroplasty -- Research -- Comparative analysis, Bupivacaine -- Research, Pain -- Care and treatment, Anesthesia -- Comparative analysis -- Research
Abstract

Background and Aims: Postoperative pain for patients having hip arthroplasty ranges from moderate to severe. Many regional anaesthesia procedures treat postoperative pain to improve functional ability and quality of life. Evidence comparing the analgesic effects of the pericapsular nerve group (PENG) block and fascia iliaca compartment block (FICB) remains unclear. The analgesic efficacies of PENG and FICB in hip arthroplasty were compared to determine which technique is associated with superior analgesia. Methods: The electronic databases (PubMed, Cochrane Library, Google Scholar and Web of Sciences) were searched for published randomised controlled trials (RCTs) till 5 April 2023 comparing PENG block vs. FICB following hip arthroplasty. The primary outcome was pain scores [numerical rating scale (NRS) or visual analogue scale (VAS)] between 0 and 10 at rest and during movement at 24 h. Secondary outcomes included pain scores at rest and during movement within 30 min, at 6 h and 12 h, time to first rescue analgesia and cumulative postoperative opioid use in 24 h. We assessed the risk of bias using the Cochrane Collaboration Risk-of-Bias 2 tool. Using Grading of Recommendations Assessment, Development, and Evaluation (GRADE), the certainty of the evidence was assessed. Subgroup analysis was performed to explore the source of heterogeneity. Results: We included 12 RCTs examining 644 patients. Pain scores at rest at 24 h (standardised mean differences (SMDs): 0.17; 95% confidence interval (CI): -0.90 to 1.23; P = 0.76, moderate certainty) and during movement at 24 h (SMD: -0.58, 95% CI: -1.53 to 0.38, P = 0.24, moderate certainty) were not different in both PENG block and FICB. Pain scores at rest and during movement within 30 min may be lower with PENG block than FICB. However, the pain score at rest and during movement at 6 h and the time to first rescue analgesia were not different between the two treatment arms. The mean opioid consumption in oral morphine equivalents (mg) in 24 h may be lower with PENG than FICB. Conclusion: We observed no difference between the PENG block and the FICB at 24 h for pain at rest and movement with a moderate degree of certainty. However, PENG block showed improved analgesia within 30 min at rest and during movement, and reduce postoperative opioid consumption in 24 h with moderate certainty of evidence. Further large-scale and high-quality RCTs are required to supplement the present findings. Keywords: Analgesia, fascia iliaca compartment block, hip arthroplasty, nerve block, pain, pericapsular nerve group, Author(s): Jay Prakash (corresponding author) [1]; Bram Rochwerg [2]; Khushboo Saran [3]; Arun K. Yadav [4]; Pradip Kumar Bhattacharya [1]; Amit Kumar [5]; Dipayan Chaudhuri [2]; Shio Priye [6] INTRODUCTION [...]

Published
2023
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24. Automatic Text Summarization Methods: A Comprehensive Review

Author

Yadav, Divakar, Desai, Jalpa, and Yadav, Arun Kumar

Subjects
Computer Science - Computation and Language, Computer Science - Information Retrieval, Computer Science - Machine Learning
Abstract

One of the most pressing issues that have arisen due to the rapid growth of the Internet is known as information overloading. Simplifying the relevant information in the form of a summary will assist many people because the material on any topic is plentiful on the Internet. Manually summarising massive amounts of text is quite challenging for humans. So, it has increased the need for more complex and powerful summarizers. Researchers have been trying to improve approaches for creating summaries since the 1950s, such that the machine-generated summary matches the human-created summary. This study provides a detailed state-of-the-art analysis of text summarization concepts such as summarization approaches, techniques used, standard datasets, evaluation metrics and future scopes for research. The most commonly accepted approaches are extractive and abstractive, studied in detail in this work. Evaluating the summary and increasing the development of reusable resources and infrastructure aids in comparing and replicating findings, adding competition to improve the outcomes. Different evaluation methods of generated summaries are also discussed in this study. Finally, at the end of this study, several challenges and research opportunities related to text summarization research are mentioned that may be useful for potential researchers working in this area., Comment: 20 pages, 7 figures and 4 tables

Published
2022

34. Wavelet Tree Compression in Legal Documents

Author

Dixit, Utkarsh, Gupta, Sonam, Yadav, Arun Kumar, Yadav, Divakar, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Swaroop, Abhishek, editor, Kansal, Vineet, editor, Fortino, Giancarlo, editor, and Hassanien, Aboul Ella, editor

Published
2023
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35. COVID-19 Sāvdhān: Harnessing the Telecom Infrastructure for COVID-19 Management

Author

Basu, Saurabh, Behera, Suvam Suvabrata, Sharma, Sandeep, Kumar, Anugandula Naveen, Jha, Sumit Kumar, Majumdar, Sabyasachi, Kushwaha, Niraj Kant, Yadav, Arun, Dalela, Pankaj Kumar, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Stettner, Lukasz, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Rettberg, Achim, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Dillon, Tharam, Series Editor, Murayama, Yuko, Series Editor, Gulliksen, Jan, Series Editor, Whitehouse, Diane, Series Editor, Rauterberg, Matthias, Series Editor, Pras, Aiko, Editorial Board Member, Sakarovitch, Jacques, Editorial Board Member, Furbach, Ulrich, Editorial Board Member, Gjøsæter, Terje, editor, and Radianti, Jaziar, editor

Published
2023
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36. Bird Species Classification from Images Using Deep Learning

Author

Kumar, Manoj, Yadav, Arun Kumar, Kumar, Mohit, Yadav, Divakar, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Gupta, Deep, editor, Bhurchandi, Kishor, editor, Murala, Subrahmanyam, editor, Raman, Balasubramanian, editor, and Kumar, Sanjeev, editor

Published
2023
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37. Extractive Text Summarization Using Statistical Approach

Author

Tewari, Kartikey, Yadav, Arun Kumar, Kumar, Mohit, Yadav, Divakar, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Tistarelli, Massimo, editor, Dubey, Shiv Ram, editor, Singh, Satish Kumar, editor, and Jiang, Xiaoyi, editor

Published
2023
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38. Video Anomaly Detection for Pedestrian Surveillance

Author

Yadav, Divakar, Jain, Arti, Asati, Saumya, Yadav, Arun Kumar, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Tistarelli, Massimo, editor, Dubey, Shiv Ram, editor, Singh, Satish Kumar, editor, and Jiang, Xiaoyi, editor

Published
2023
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39. Human Activity Recognition in Videos Using Deep Learning

Author

Kumar, Mohit, Rana, Adarsh, Ankita, Yadav, Arun Kumar, Yadav, Divakar, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Patel, Kanubhai K., editor, Santosh, K. C., editor, and Patel, Atul, editor

Published
2023
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