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173 results on '"Gangodkar, Durgaprasad"'

1. 3D Facial Reconstruction from a Single Image Using a Hybrid Model Based on 3DMM and Deep Learning

Author

Deshmukh, Isha, Tripathi, Vikas, Gangodkar, Durgaprasad, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Choi, Bong Jun, editor, Singh, Dhananjay, editor, Tiwary, Uma Shanker, editor, and Chung, Wan-Young, editor

Published
2024
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3. A Novel Meta-Classifier Framework Approach for Land Use Land Cover Classification

Author

Bhatt, Jaishankar, Nijhawan, Rahul, Gangodkar, Durgaprasad, Singh, Amit 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, Maurya, Sudhanshu, editor, Peddoju, Sateesh K., editor, Ahmad, Badlishah, editor, and Chihi, Ines, editor

Published
2023
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8. Big Data Technologies: A Comprehensive Survey

Author

Mittal, Varsha, Gangodkar, Durgaprasad, Pant, Bhaskar, 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, Ranganathan, G., editor, Chen, Joy, editor, and Rocha, Álvaro, editor

Published
2021
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11. Review of advanced driver assistance systems.

Author

Ramajeyam, Sivanand, Maguluri, Lakshmana Phaneendra, Prabhahar, Muthuswamy, Kathirvelu, Bhaskar, Subramanian, Sendilvelan, and Gangodkar, Durgaprasad

Abstract

In today's scenario, new automobiles are fitted with various innovative safety systems. Safety systems, restraints and all the vital submissive protection elements are standard features. Now automobiles are commonly fitted with more sophisticated effective protection technologies that may avoid collisions. The functionalities of the Advanced Driver Assistance Systems are continually expanding. A survey of the highest common available technologies utilized in ADAS and explanations of their possible applications are addressed in this work. [ABSTRACT FROM AUTHOR]

Published
2024
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12. Breast cancer detection based on PCA feature selection process using an ensemble learning algorithm.

Author

Misra, Praveen Kumar, Devi, G. Meena, Cruz, Yoni Magali Maita, Cotrina-Aliaga, Juan Carlos, Chatterjee, Pratik, and Gangodkar, Durgaprasad

Abstract

Breast Cancer (BC), more than any other malignancy, is one of the main reasons of mortality amongst women. Due to disease's intricacy, varying patient population samples and changing treatment protocols, accurate diagnosis of breast cancer is extremely challenging. Better diagnostic procedures are critical for tailored care and treatment, as well as reducing and controlling cancer recurrence. This study investigates the early identification of breast cancer using a variety of ensemble methodologies. The dataset that has been utilized in this work is chosen to forecast breast cancer based on nine individual variables, including BMI, age, insulin, glucose and a homeostasis model evaluation. This research provides a suggested strategy based on feature selection that uses Principal Component Analysis (PCA) as well as the ensemble technique for dramatically lessening the dimensionality of features and enhance breast cancer classification. The suggested method is tested using the Wisconsin Breast Cancer Dataset, which is open to the public (WBCD dataset). This study focuses on evaluating and comparing the efficacy of several ensemble approaches based on PCA feature selection in early diagnosis of BC. LogitBoost is the most precise model amongst all the ensemble approaches, according to the findings. The LogitBoost algorithm beats the other ensemble methods, with an accuracy of 72.46 percent. The findings of data analysis show that ensemble classifiers outperform state-of-the-art approaches in detecting BC. [ABSTRACT FROM AUTHOR]

Published
2024
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13. Analyzing technical, sentimental, and machine learning algorithms for stock market prediction.

Author

Sharma, Akshat, Lohumi, Yogesh, Gangodkar, Durgaprasad, and Goyal, Ashtha

Subjects
PROCESS capability, STOCK prices, INVESTORS, STOCKS (Finance), RANDOM forest algorithms, MACHINE learning
Abstract

In the financial market, the use of machine learning algorithms for predicting stock prices is particularly advantageous. Stock prices, a critical factor influencing decisions made by traders, investors, and large firms, are subject to volatility influenced by various external factors, rendering prediction a complex endeavor. Accurate predictions, however, play a pivotal role in optimizing profitability within the realm of stock trading. Machine learning algorithms, endowed with the capacity to autonomously learn and improve, are well-suited to this task when integrated with sentiment and technical indicators. They possess the capability to process vast volumes of historical data, unveiling patterns that may elude immediate human perception. This paper presents an analysis that incorporates sentimental and technical analyses and employs machine learning algorithms viz. Logistic Regression, Random Forest, and Decision Tree for the prediction of stock prices. These algorithms, when combined with technical and emotional analysis, serve to efficiently forecast market behavior. [ABSTRACT FROM AUTHOR]

Published
2024
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16. An Effective Video Surveillance Framework for Ragging/Violence Recognition

Author

Sharma, Abhishek, Tripathi, Vikas, Gangodkar, Durgaprasad, 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, Kulkarni, Anand J., editor, Satapathy, Suresh Chandra, editor, Kang, Tai, editor, and Kashan, Ali Husseinzadeh, editor

Published
2019
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19. An Efficient Framework Based on Segmented Block Analysis for Human Activity Recognition

Author

Tripathi, Vikas, Gangodkar, Durgaprasad, Pandey, Monika, Sanserwal, Vishal, 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, Satapathy, Suresh Chandra, editor, Tavares, Joao Manuel R.S., editor, Bhateja, Vikrant, editor, and Mohanty, J. R., editor

Published
2018
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20. GPU Based Bag of Feature for Fast Activity Detection in Video

Author

Tripathi, Vikas, Gangodkar, Durgaprasad, Badoni, Samin, Bisht, Sagar Singh, 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, Saeed, Khalid, editor, Chaki, Nabendu, editor, Pati, Bibudhendu, editor, Bakshi, Sambit, editor, and Mohapatra, Durga Prasad, editor

Published
2018
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24. Improved Dynamic Time Warping Based Approach for Activity Recognition

Author

Tripathi, Vikas, Agarwal, Sharat, Mittal, Ankush, Gangodkar, Durgaprasad, 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, Satapathy, Suresh Chandra, editor, Bhateja, Vikrant, editor, Udgata, Siba K., editor, and Pattnaik, Prasant Kumar, editor

Published
2017
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