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128 results on '"Bhatnagar, Vaibhav"'

3. Classification of Nitrogen Deficiency in Wheat Crop Images Using Different Machine Learning Approaches with ORANGE Tool

Author

Bhagirath, Swami Nisha, Bhatnagar, Vaibhav, Raja, Linesh, 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, Das, Swagatam, editor, Saha, Snehanshu, editor, Coello, Carlos A. Coello, editor, Rathore, Hemant, editor, and Bansal, Jagdish Chand, editor

Published
2024
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8. A Review on Rural Women’s Entrepreneurship Using Machine Learning Models

Author

Pareek, Shivani, Bhatnagar, Vaibhav, Poonia, Ramesh Chandra, Sharma, Shilpa, Samanta, Debabrata, 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, Roy, Satyabrata, editor, Sinwar, Deepak, editor, Dey, Nilanjan, editor, Perumal, Thinagaran, editor, and Tavares, João Manuel R. S., editor

Published
2023
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9. A Chronological Survey of Vehicle License Plate Detection, Recognition, and Restoration

Author

Sharma, Divya, Sharma, Shilpa, Bhatnagar, Vaibhav, 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, Das, Swagatam, editor, Saha, Snehanshu, editor, Coello Coello, Carlos A., editor, and Bansal, Jagdish Chand, editor

Published
2023
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10. Data Collection, Feature Extraction and Descriptive Analysis of Wheat Crop Images

Author

Bhagirath, Swami Nisha, Bhatnagar, Vaibhav, Raja, Linesh, 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, Chaki, Nabendu, editor, Roy, Nilanjana Dutta, editor, Debnath, Papiya, editor, and Saeed, Khalid, editor

Published
2023
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11. Foggy–Hazy License Plate Image Data Collection and Feature Extraction

Author

Sharma, Divya, Sharma, Shilpa, Bhatnagar, Vaibhav, 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, Chaki, Nabendu, editor, Roy, Nilanjana Dutta, editor, Debnath, Papiya, editor, and Saeed, Khalid, editor

Published
2023
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12. Prediction of Nitrogen Deficiency in Paddy Leaves Using Convolutional Neural Network Model

Author

Bhagirath, Swami Nisha, Bhatnagar, Vaibhav, Raja, Linesh, 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, Das, Swagatam, editor, Saha, Snehanshu, editor, Coello Coello, Carlos A., editor, and Bansal, Jagdish Chand, editor

Published
2023
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13. Proposed Model for Design of Decision Support System for Crop Yield Prediction in Rajasthan

Author

Pareek, Kamini, Bhatnagar, Vaibhav, Tiwari, Pradeep, 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, Rathore, Vijay Singh, editor, Tavares, João Manuel R. S., editor, Piuri, Vincenzo, editor, and Surendiran, B., editor

Published
2023
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14. Analysis of Child Abduction Cases and Design of Internet of Things Based Child Safety System

Author

Bhatnagar, Vaibhav, Bhatt, Devershi Pallavi, Ledwani, Devanshi, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tiwari, Manish, editor, Ismail, Yaseera, editor, Verma, Karan, editor, and Garg, Amit Kumar, editor

Published
2023
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20. Estimating Blockchain Using Time-Series Forecasting ARIMA

Author

Bhatnagar, Vaibhav, Batra, Bhoomika, 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, Rathore, Vijay Singh, editor, Sharma, Subhash Chander, editor, Tavares, Joao Manuel R.S., editor, Moreira, Catarina, editor, and Surendiran, B., editor

Published
2022
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21. The Review of Prediction Models for COVID-19 Outbreak in Indian Scenario

Author

Poonia, Ramesh Chandra, Dass, Pranav, Raja, Linesh, Bhatnagar, Vaibhav, Prasad, Jagdish, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Poonia, Ramesh Chandra, editor, Singh, Vijander, editor, Singh Jat, Dharm, editor, Diván, Mario José, editor, and Khan, Mohammed S., editor

Published
2022
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22. A Study of the Factors Influencing Behavioral Intent to Implement Forensic Audit Techniques in Indian Companies

Author

Mehta, Kamakshi, Batra, Bhoomika, Bhatnagar, Vaibhav, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Poonia, Ramesh Chandra, editor, Singh, Vijander, editor, Singh Jat, Dharm, editor, Diván, Mario José, editor, and Khan, Mohammed S., editor

Published
2022
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27. School children safety system using RFID and IoT.

Author

Bhatt, Devershi Pallavi, Bhatnagar, Vaibhav, Sharma, Anand, and Ledwani, Devanshi

Subjects
*SCHOOL children, *RADIO frequency identification systems, *SYSTEM safety, *INTERNET of things, *TIMESTAMPS
Abstract

Children safety is a concern for every parent. When the child start going to school for the first time and when he/she is small to understand the situation to act upon it, the mechanism is required to track the same. The framework proposed in this paper is evolved after studying many incidents related to the children safety during travelling to and from school. Human oversight or supervisor's absence may lead to a heartbreaking incident. Manual system may overlook some threats associated. Proposed work in the paper is a system to report the child boarding and drop with the time stamp and location to the parents and the school authority daily. The system helps the concerned parents and school authorities to take immediate action against any mishap or unfortunate incident. The proposed system consists of RFID card, RFID reader, Arduino Controller enabled with GPS, GSM, and clock. The proposed system in the paper provides an economic solution for the above-mentioned problem and that can be affordable to all economic classes easily. This work has taken place for the school students Jaipur city, Rajasthan stat, India. [ABSTRACT FROM AUTHOR]

Published
2024
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32. IoT Based Alert System for Visually Impaired Persons

Author

Bhatnagar, Vaibhav, Chandra, Ramesh, Jain, Vikram, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Yuan, Junsong, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Somani, Arun K., editor, Ramakrishna, Seeram, editor, Chaudhary, Anil, editor, Choudhary, Chothmal, editor, and Agarwal, Basant, editor

Published
2019
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38. Profile of medicolegal cases autopsied at MGMC, Jaipur, Rajasthan: A retrospective study.

Author

K. R., Dharmendra, Choudhary, Sanjay, Bhatnagar, Vaibhav, Sharma, Pankaj, and Chittibabu

Subjects
RAILROAD accidents, AUTOPSY, DRUNK driving, LAW enforcement agencies, AGE groups, MOTORCYCLING injuries
Abstract

Background: A Medico-legal case [MLC] is defined as “any case of injury or hurt, which the attending medical officer after complete history taking and examination, considers investigation by the law enforcement agencies necessary, in order to fix responsibility regarding the related injury in accordance with the prevailing laws of the country.” The objective of medico-legal autopsy is to establish the identity of a body, when not known; to find out the cause of death, time since death, nature and manner of death, whether it was homicidal, suicidal or accidental. In addition, the question of live birth and viability assumes the importance in case of infant deaths. Material and Methods: The present study is a retrospective study of medicolegal autopsies performed at Mahatma Gandhi Medical College, Jaipur, India. from period of January 2021 to September 2023. The total no. of medico-legal autopsies performed During the study period were 538. Ethical clearance for this study was obtained by the Institutional Ethical Committee. The identities of the deceased persons whose data was obtained from the medical records has not been revealed in any of the documents related to the study. Results: The distribution of cases with respect to different age group. The most vulnerable study group with respect to all type cases is 21 to 30 years age group, especially the hanging, road traffic accident & railway accident having 69, 38 and 32 cases respectively, are highest in this age group, followed by 31 to 40 and 41 to 50 years age group. The overall most common cause being hanging (131 cases) road traffic accident (112 cases) & railway accident (77 cases). Least number of cases recorded in age group of less than 10 years, with road traffic accident having highest 6 cases. Conclusion: While Road Traffic Accidents seemingly associated with increased vehicular speed, rare use of helmets and seat belts, along with drunken driving, substance abuse, driving while having mental stress and divided lost attention etc. [ABSTRACT FROM AUTHOR]

Published
2023

43. A review of computer vision techniques with nature inspired algorithms.

Author

Bhagirath, Swami Nisha, Bhatnagar, Vaibhav, Raja, Linesh, Sharma, Divya, and Sharma, Shilpa

Subjects
*COMPUTER vision, *SWARM intelligence, *ANT algorithms, *INSECT societies, *PARTICLE swarm optimization, *ALGORITHMS, *HONEYBEES, *BEES
Abstract

The objective of computer vision is extracting useful information by assessing snapshots. It can be used for radiography, industrial inspection, document processing, microscopy, robot navigation and remote sensing. Swarm intelligence is flattering a gradually applicable research topic for economists, computer geniuses, functional investigators and engineers. It is well-defined as the combined behaviour of isolated as well as self-organized groups. The distinguished models of swarm are communal insect colonies similar to ants, termites, bees, fish schools and bird flocks. The intellect of the swarm originates in the form of communication networks that happen amongst both elementary agents and the external environment. Computational models encouraged by natural swarm structures are identified as swarm intelligence models. This model consists of particle swarm optimization, cat swarm optimization, ant colony optimization, and artificial bee colony, glowworm swarm optimization and other algorithms. A natural swarm-based approach is being used to address complicated issues in a variety of fields, including engineering, medicine, and robotics. In this study, a review of computer vision approach using various nature inspired algorithms is discussed. [ABSTRACT FROM AUTHOR]

Published
2023
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44. Image classification based on sentiment polarity using machine learning approaches.

Author

Sharma, Divya, Sharma, Shilpa, Raja, Linesh, Bhagirath, Swami Nisha, and Bhatnagar, Vaibhav

Subjects
IMAGE recognition (Computer vision), MACHINE learning, RANDOM forest algorithms, IMAGE analysis, CLASSIFICATION algorithms, SECURE Sockets Layer (Computer network protocol), AIRBORNE lasers, TEXT recognition
Abstract

Sentiment, emotions, feelings, showing or giving judgments by face gestures, etc. can be communicated by text, speech or images. Analyzing image Polarity via images is now a burgeoning research field. An image can easily be interpreted by any human being and acts as a bridge to relate an image to the human's thoughts. The paper proposed a model for analyzing the sentiments or emotions of an image. We have used a Data-Mining Orange Tool for executing the experiment for classification and sentiment analysis of an image. The main challenge is to acquire the polarity of the unlabeled data using optimal machine learning techniques. To overcome this challenge for getting the polarity and sentiment of an unlabeled data the proposed model used various noteworthy machine learning models like Neural Network, Naïve Bayes and random forest for classifying and analyzing the image sentiment and also provide a comparison based on certain parameters like Area Under Curve, Precision, Recall, classification Accuracy, etc. The tool provides a complete package for performing image analysis using the widgets available with orange tool and a data visualization tool to get a visible representation of the output. The proposed model shows that Random Forest performance the best from the three compared algorithms with classification Accuracy of 0.747, recall & precision as 0.747 & 0.752 and the accuracy based on confusion matrix is 74.72%. [ABSTRACT FROM AUTHOR]

Published
2023
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45. Foreword

Author

Poonia, Ramesh Chandra, primary, Bhatnagar, Vaibhav, additional, Chatterjee, Kashinath, additional, Singh, Vijander, additional, Babu, Md. Ashraful, additional, and Dass, Pranav, additional

Published
2022
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47. Guest Editors

Author

Poonia, Ramesh Chandra, primary, Bhatnagar, Vaibhav, additional, Chatterjee, Kashinath, additional, Singh, Vijander, additional, Babu, Md. Ashraful, additional, and Dass, Pranav, additional

Published
2022
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