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33 results on '"Dey, Ratul"'

2. Ensemble Learning Method Using Stacking with Base Learner, A Comparison

Author

Dey, Ratul, Mathur, Rajeev, 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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4. Weather forecasting using Convex hull & K-Means Techniques An Approach

Author

Dey, Ratul Dey Sanjay Chakraborty Lopamudra

Subjects
Computer Science - Databases
Abstract

Data mining is a popular concept of mined necessary data from a large set of data. Data mining using clustering is a powerful way to analyze data and gives prediction. In this paper non structural time series data is used to forecast daily average temperature, humidity and overall weather conditions of Kolkata city. The air pollution data have been taken from West Bengal Pollution Control Board to build the original dataset on which the prediction approach of this paper is studied and applied. This paper describes a new technique to predict the weather conditions using convex hull which gives structural data and then apply incremental K-means to define the appropriate clusters. It splits the total database into four separate databases with respect to different weather conditions. In the final step, the result will be calculated on the basis of priority based protocol which is defined based on some mathematical deduction., Comment: 1st International Science & Technology Congress(IEMCON-2015) Elsevier

Published
2015

14. Frequent Relational Smote For Class Imbalance An Experimental Approach.

Author

Dey, Ratul and Mathur, Rajeev

Subjects
DATA analysis, MACHINE learning, RANDOM forest algorithms, DECISION making, SUPPORT vector machines
Abstract

Over the year, our society has been trying to implement such kind of computer which is intelligent, efficient, and perfect. Computer intelligence is based upon previous data analysis. Class imbalance is one of the significant difficulties in the machine learning field, which degrade the performance of analysis and decision-making ability. In this paper we propose FR-SMOTE to mitigate the class imbalance problem. It aids in the improvement of learning performance in the context of an imbalanced learning environment. Our result analysis shows a significant improvement over the existing state-ofart, where we can see the achievement of 86% true positive rate over the imbalanced classes in machine learning algorithm. In this paper we apply several machine learning algorithm like SVM, KNN, Random Forest in highly unbalanced data(WOS), after applying RUS, OS-SMOTE and implemented FR-SMOTE in the base of accuracy, Precision, Recall and F1 Score. [ABSTRACT FROM AUTHOR]

Published
2022

20. Multi-operational home automation system using IOT, An approach

Author

Verma, Abhishek Kumar, primary, Kumar, Saurabh, additional, Prakash, Suramya, additional, Singh, Ashish, additional, Chatterjee, Chandan, additional, Ghosh, Bikash, additional, Patra, Arnab, additional, Saha, Himadri Nath, additional, Nayak, Somen, additional, Dey, Shopan, additional, and Dey, Ratul, additional

Published
2017
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21. Ad-hoc networked UAVs as Aerial Mesh Network for disaster management application and remote sensing: An approach

Author

Dey, Shopan, primary, Kamal, Murshed Nawaz, additional, Dutta, Soumya, additional, Tiwari, Abhishek, additional, Ray, Santanu, additional, Moatasimbillah, Md Jamil, additional, Saha, Nabanit, additional, Adhikary, Nilkantha, additional, Mukherjee, Dipta, additional, Nayak, Somen, additional, Dey, Ratul, additional, and Saha, Souvik, additional

Published
2017
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22. An application for end to end secure messaging service on Android supported device

Author

Nayak, Somen, primary, Das, Surajit, additional, Das, Saikat, additional, Sarker, Siddharth, additional, Sarker, Preyoshi, additional, Dey, Aniket, additional, Sinha, Anirban, additional, Saha, Jyotirmoy, additional, Banerjee, Aniket, additional, Saha, Nabanit, additional, Chowdhury, Sugata, additional, Chowdhury, Debanjan, additional, Pradhan, Priyam, additional, Ali, Sk Azeem, additional, Saha, Abhijit, additional, Dey, Ratul, additional, and Dey, Shopan, additional

Published
2017
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23. An IoT framework for smart power management system

Author

Dey, Shopan, primary, Kar, Tapasundar, additional, Iqbal, Asif, additional, Roychoudhury, Doipayan, additional, Laha, Subham, additional, Chowdhury, Anubhab, additional, Chakraborty, Anirban, additional, Shaw, Kaunteya, additional, Nayak, Somen, additional, Basu, Shatabdi, additional, Guhathakurta, Rajib, additional, and Dey, Ratul, additional

Published
2017
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24. Low cost ultrasonic smart glasses for blind

Author

Agarwal, Rohit, primary, Ladha, Nikhil, additional, Agarwal, Mohit, additional, Majee, Kuntal Kr., additional, Das, Abhijit, additional, Kumar, Subham, additional, Rai, Subham Kr., additional, Singh, Anand Kr., additional, Nayak, Somen, additional, Dey, Shopan, additional, Dey, Ratul, additional, and Saha, Himadri Nath, additional

Published
2017
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25. Unmanned multifunction robot for industrial and military operation over resource constrained networks: An approach

Author

Nayak, Somen, primary, Shaw, Kunteya, additional, Choudhury, Jayashish, additional, Chakraborty, Anirban, additional, Iqbal, Asif, additional, Kar, Tapasundar, additional, Bera, Sumit Kumar, additional, Saha, Sourav, additional, Deb, Debojyoti, additional, Roychoudhury, Doipayan, additional, Mukherjee, Dipta, additional, Dey, Ratul, additional, and Dey, Shopan, additional

Published
2017
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27. A load balanced routing protocol for mobile sensor network

Author

Chatterjee, Sukanya, primary, Chakraborty, Avijit, additional, Dey, Ratul, additional, Banerjee, Hriday, additional, Pareek, Shilpa, additional, Nayak, Somen, additional, Gautam, Ashutosh, additional, Saha, Himadri Nath, additional, Neyaz, Mudassir, additional, and Dokania, Mohit, additional

Published
2017
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