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2. Twitter Sentiment Analysis Using Stacking Machine Learning Approach

Author

Teja, Medi Pavan, Pande, Sagar Dhanraj, 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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3. Potato Leaf Disease Detection Using Deep Learning Algorithm

Author

Devendiran, Ramkumar, Kuduva, Madhumitha, Pande, Sagar Dhanraj, 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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4. EarthGrow: A Hybrid Deep Learning Architecture for Sustainable Agriculture

Author

Vamsi, K. Praveen Abhi, Pande, Sagar Dhanraj, Khamparia, Aditya, Pisello, Anna Laura, Editorial Board Member, Bibri, Simon Elias, Editorial Board Member, Ahmed Salih, Gasim Hayder, Editorial Board Member, Battisti, Alessandra, Editorial Board Member, Piselli, Cristina, Editorial Board Member, Strauss, Eric J., Editorial Board Member, Matamanda, Abraham, Editorial Board Member, Gallo, Paola, Editorial Board Member, Marçal Dias Castanho, Rui Alexandre, Editorial Board Member, Chica Olmo, Jorge, Editorial Board Member, Bruno, Silvana, Editorial Board Member, He, Baojie, Editorial Board Member, Niglio, Olimpia, Editorial Board Member, Pivac, Tatjana, Editorial Board Member, Olanrewaju, AbdulLateef, Editorial Board Member, Pigliautile, Ilaria, Editorial Board Member, Karunathilake, Hirushie, Editorial Board Member, Fabiani, Claudia, Editorial Board Member, Vujičić, Miroslav, Editorial Board Member, Stankov, Uglješa, Editorial Board Member, Sánchez, Angeles, Editorial Board Member, Jupesta, Joni, Editorial Board Member, Pignatta, Gloria, Editorial Board Member, Shtylla, Saimir, Editorial Board Member, Alberti, Francesco, Editorial Board Member, Buckley, Ayşe Özcan, Editorial Board Member, Mandic, Ante, Editorial Board Member, Ahmed Ibrahim, Sherif, Editorial Board Member, Teba, Tarek, Editorial Board Member, Al-Kassimi, Khaled, Editorial Board Member, Rosso, Federica, Editorial Board Member, Abdalla, Hassan, Editorial Board Member, Trapani, Ferdinando, Editorial Board Member, Magnaye, Dina Cartagena, Editorial Board Member, Chehimi, Mohamed Mehdi, Editorial Board Member, van Hullebusch, Eric, Editorial Board Member, Chaminé, Helder, Editorial Board Member, Della Spina, Lucia, Editorial Board Member, Aelenei, Laura, Editorial Board Member, Parra-López, Eduardo, Editorial Board Member, Ašonja, Aleksandar N., Editorial Board Member, Amer, Mourad, Series Editor, and Al-Turjman, Fadi, editor

Published
2024
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5. Player Performance Analysis Using Various Data Mining Approaches

Author

Guruguri, Chandra Sekhar Reddy, Pande, Sagar Dhanraj, 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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6. Improving Accuracy and Robustness in Depression Detection with Ensemble Learning and Optimization Techniques

Author

Kumari, Meena, Singh, Gurpreet, Pande, Sagar Dhanraj, 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, Devi, B. Rama, editor, Kumar, Kishore, editor, Raju, M., editor, Raju, K. Srujan, editor, and Sellathurai, Mathini, editor

Published
2024
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13. Bidirectional Attention Mechanism-Based Deep Learning Model for Text Classification Under Natural Language Processing

Author

Pande, Sagar Dhanraj, Kumaresan, T., Lanke, Govinda Rajulu, Degadwala, Sheshang, Dhiman, Gaurav, Soni, Mukesh, 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, Balas, Valentina Emilia, editor, Semwal, Vijay Bhaskar, editor, and Khandare, Anand, editor

Published
2023
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14. Deep Learning-Based Intrusion Detection Model for Network Security

Author

Pande, Sagar Dhanraj, Lanke, Govinda Rajulu, Soni, Mukesh, Kulkarni, Mukund Anant, Maaliw, Renato R., Singh, Pavitar Parkash, 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, Balas, Valentina Emilia, editor, Semwal, Vijay Bhaskar, editor, and Khandare, Anand, editor

Published
2023
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15. Fake Video News Detection Using Deep Learning Algorithm

Author

Pimple, Kanchan M., Solanke, Ravindra R., Likhitkar, Praveen P., Pande, Sagar, 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, Khanna, Ashish, editor, Gupta, Deepak, editor, Kansal, Vineet, editor, Fortino, Giancarlo, editor, and Hassanien, Aboul Ella, editor

Published
2023
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16. Food Classification Using Deep Learning Algorithm

Author

Jamnekar, R. V., Keole, R. R., Mohod, S. W., Mahore, T. R., Pande, Sagar, 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, Gupta, Deepak, editor, Khanna, Ashish, editor, Hassanien, Aboul Ella, editor, Anand, Sameer, editor, and Jaiswal, Ajay, editor

Published
2023
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17. Student Attendance Monitoring System Using Facial Recognition

Author

Wankhade, Reshma B., Mohod, S. W., Keole, R. R., Mahore, T. R., Pande, Sagar Dhanraj, 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, Gupta, Deepak, editor, Khanna, Ashish, editor, Hassanien, Aboul Ella, editor, Anand, Sameer, editor, and Jaiswal, Ajay, editor

Published
2023
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18. Credit Card Fraud Detection Using Various Machine Learning and Deep Learning Approaches

Author

Gorte, Ashvini S., Mohod, S. W., Keole, R. R., Mahore, T. R., Pande, Sagar, 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, Gupta, Deepak, editor, Khanna, Ashish, editor, Hassanien, Aboul Ella, editor, Anand, Sameer, editor, and Jaiswal, Ajay, editor

Published
2023
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20. Contributors

Author

Adeniyi, Mayowa J., primary, Adetunji, Charles O., additional, Adeyomoye, Olorunsola, additional, Anand, Rishabh, additional, Cengiz, Korhan, additional, Dare, Ayobami, additional, Dash, Sujata, additional, Dutta, Pijush, additional, Enoch, Alex, additional, Jabbar, M.A., additional, Kolekar, Maheshkumar H., additional, Kumar, Asok, additional, Maringanti, Hima Bindu, additional, Mishra, Minati, additional, Mohanty, Ricky, additional, Nayak, Nihar Ranjan, additional, Olaniyan, Olugbemi T., additional, Pande, Sagar Dhanraj, additional, Pani, Subhendu Kumar, additional, Paul, Shobhandeb, additional, Pradhan, Subhransu, additional, Raoof, Syed Saba, additional, Selvakumar, V., additional, Sharma, Neelam, additional, Singh, K. Rupabanta, additional, Soni, Brijesh K., additional, Soni, Mukesh, additional, and Waoo, Akhilesh A., additional

Published
2023
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24. Recommendations for DDOS Threats Using Tableau

Author

Pande, Sagar, Kamparia, Aditya, Gupta, Deepak, Xhafa, Fatos, Series Editor, Gupta, Deepak, editor, Polkowski, Zdzislaw, editor, Khanna, Ashish, editor, Bhattacharyya, Siddhartha, editor, and Castillo, Oscar, editor

Published
2022
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31. Recommendations for DDOS Attack-Based Intrusion Detection System Through Data Analysis

Author

Pande, Sagar, Kamparia, Aditya, Gupta, Deepak, 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, Gupta, Deepak, editor, Khanna, Ashish, editor, Kansal, Vineet, editor, Fortino, Giancarlo, editor, and Hassanien, Aboul Ella, editor

Published
2022
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37. Breast Cancer Classification Using Convolution Neural Network (CNN)

Author

Yadav, Rohit, Pande, Sagar, Khamparia, Aditya, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Luhach, Ashish Kumar, editor, Jat, Dharm Singh, editor, Bin Ghazali, Kamarul Hawari, editor, Gao, Xiao-Zhi, editor, and Lingras, Pawan, editor

Published
2021
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39. A Review on COVID-19

Author

Bhatt, Tanuj, Kumar, Vimal, Pande, Sagar, Malik, Rahul, Khamparia, Aditya, Gupta, Deepak, Kacprzyk, Janusz, Series Editor, and Al-Turjman, Fadi, editor

Published
2021
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49. Stock Price Prediction using Multi-Layered Sequential LSTM.

Author

Behura, Jyoti Prakash, Pande, Sagar Dhanraj, and Ramesh, Janjhyam Venkata Naga

Subjects
STOCK prices, RECURRENT neural networks, SHORT-term memory, LONG-term memory, TIME series analysis, FORECASTING
Abstract

Stock markets are frequently among the most volatile locations to invest in. The choice to buy or sell stocks is heavily influenced by statistical analysis of prior stock performance and external circumstances. All these variables are employed to maximize profitability. Stock value prediction is a hard undertaking that necessitates a solid computational foundation to compute longer-term share values. Stock prices are connected inside the market, making it harder to forecast expenses. Financial data is a category that includes past data from time series that provides a lot of knowledge and is frequently employed in data analysis tasks. This research provides a unique optimisation strategy for stock price prediction based on a Multi-Layer Sequential Long Short Term Memory (MLS LSTM) model and the adam optimizer in this context. Furthermore, to make reliable predictions, the MLS LSTM algorithm uses normalised time series data separated into time steps to assess the relationship between past and future values. Furthermore, it solves the vanishing gradient problem that plagues basic recurrent neural networks. [ABSTRACT FROM AUTHOR]

Published
2024
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50. Explainable Neural Network analysis on Movie Success Prediction.

Author

Kumar, S. Bhavesh and Pande, Sagar Dhanraj

Subjects
ARTIFICIAL neural networks, INTERNET searching, CULTURAL industries, BACK muscles
Abstract

These days movies are one of the most important part of entertainment industry and back in the days you could see everyday people standing outside theatres, or watching movies in OTT platforms. But due to busy schedules not many people are watching every movie. They go over the internet and search for top rated movies and go to theatres. And creating a successful movie is no easy job. Thus, this study helps movie producers to consider what are the important factors that influence a movie to be successful. this study applied neural network model to the IMDb dataset and then due to its complex nature in order to achieve the local explainability and global explainability for the enhanced analysis, study have used SHAP (Shapley additive explanations) to analysis. [ABSTRACT FROM AUTHOR]

Published
2024
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