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427 results on '"Dutt, Varun"'

1. Evaluating the efficacy of haptic feedback, 360{\deg} treadmill-integrated Virtual Reality framework and longitudinal training on decision-making performance in a complex search-and-shoot simulation

Author

Rao, Akash K, Bhavsar, Arnav, Chowdhury, Shubhajit Roy, Chandra, Sushil, Negi, Ramsingh, Duraisamy, Prakash, and Dutt, Varun

Subjects
Computer Science - Human-Computer Interaction
Abstract

Virtual Reality (VR) has made significant strides, offering users a multitude of ways to interact with virtual environments. Each sensory modality in VR provides distinct inputs and interactions, enhancing the user's immersion and presence. However, the potential of additional sensory modalities, such as haptic feedback and 360{\deg} locomotion, to improve decision-making performance has not been thoroughly investigated. This study addresses this gap by evaluating the impact of a haptic feedback, 360{\deg} locomotion-integrated VR framework and longitudinal, heterogeneous training on decision-making performance in a complex search-and-shoot simulation. The study involved 32 participants from a defence simulation base in India, who were randomly divided into two groups: experimental (haptic feedback, 360{\deg} locomotion-integrated VR framework with longitudinal, heterogeneous training) and placebo control (longitudinal, heterogeneous VR training without extrasensory modalities). The experiment lasted 10 days. On Day 1, all subjects executed a search-and-shoot simulation closely replicating the elements/situations in the real world. From Day 2 to Day 9, the subjects underwent heterogeneous training, imparted by the design of various complexity levels in the simulation using changes in behavioral attributes/artificial intelligence of the enemies. On Day 10, they repeated the search-and-shoot simulation executed on Day 1. The results showed that the experimental group experienced a gradual increase in presence, immersion, and engagement compared to the placebo control group. However, there was no significant difference in decision-making performance between the two groups on day 10. We intend to use these findings to design multisensory VR training frameworks that enhance engagement levels and decision-making performance., Comment: 13 pages, 6 figures, 1 Table

Published
2024

3. Classification of attention performance post-longitudinal tDCS via functional connectivity and machine learning methods

Author

Rao, Akash K, Menon, Vishnu K, Bhavsar, Arnav, Chowdhury, Shubhajit Roy, Negi, Ramsingh, and Dutt, Varun

Subjects
Quantitative Biology - Neurons and Cognition, Computer Science - Human-Computer Interaction
Abstract

Attention is the brain's mechanism for selectively processing specific stimuli while filtering out irrelevant information. Characterizing changes in attention following long-term interventions (such as transcranial direct current stimulation (tDCS)) has seldom been emphasized in the literature. To classify attention performance post-tDCS, this study uses functional connectivity and machine learning algorithms. Fifty individuals were split into experimental and control conditions. On Day 1, EEG data was obtained as subjects executed an attention task. From Day 2 through Day 8, the experimental group was administered 1mA tDCS, while the control group received sham tDCS. On Day 10, subjects repeated the task mentioned on Day 1. Functional connectivity metrics were used to classify attention performance using various machine learning methods. Results revealed that combining the Adaboost model and recursive feature elimination yielded a classification accuracy of 91.84%. We discuss the implications of our results in developing neurofeedback frameworks to assess attention., Comment: 6 pages, to be presented in the IEEE 9th International Conference for Convergence in Technology (I2CT),Pune, April 2024. arXiv admin note: substantial text overlap with arXiv:2401.17700

Published
2024

4. Prediction of multitasking performance post-longitudinal tDCS via EEG-based functional connectivity and machine learning methods

Author

Rao, Akash K, Uttrani, Shashank, Menon, Vishnu K, Shah, Darshil, Bhavsar, Arnav, Chowdhury, Shubhajit Roy, and Dutt, Varun

Subjects
Computer Science - Human-Computer Interaction, Computer Science - Artificial Intelligence
Abstract

Predicting and understanding the changes in cognitive performance, especially after a longitudinal intervention, is a fundamental goal in neuroscience. Longitudinal brain stimulation-based interventions like transcranial direct current stimulation (tDCS) induce short-term changes in the resting membrane potential and influence cognitive processes. However, very little research has been conducted on predicting these changes in cognitive performance post-intervention. In this research, we intend to address this gap in the literature by employing different EEG-based functional connectivity analyses and machine learning algorithms to predict changes in cognitive performance in a complex multitasking task. Forty subjects were divided into experimental and active-control conditions. On Day 1, all subjects executed a multitasking task with simultaneous 32-channel EEG being acquired. From Day 2 to Day 7, subjects in the experimental condition undertook 15 minutes of 2mA anodal tDCS stimulation during task training. Subjects in the active-control condition undertook 15 minutes of sham stimulation during task training. On Day 10, all subjects again executed the multitasking task with EEG acquisition. Source-level functional connectivity metrics, namely phase lag index and directed transfer function, were extracted from the EEG data on Day 1 and Day 10. Various machine learning models were employed to predict changes in cognitive performance. Results revealed that the multi-layer perceptron and directed transfer function recorded a cross-validation training RMSE of 5.11% and a test RMSE of 4.97%. We discuss the implications of our results in developing real-time cognitive state assessors for accurately predicting cognitive performance in dynamic and complex tasks post-tDCS intervention, Comment: 16 pages, presented at the 30th International Conference on Neural Information Processing (ICONIP2023), Changsha, China, November 2023

Published
2024

5. Predicting suicidal behavior among Indian adults using childhood trauma, mental health questionnaires and machine learning cascade ensembles

Author

Rao, Akash K, Trivedi, Gunjan Y, Trivedi, Riri G, Bajpai, Anshika, Chauhan, Gajraj Singh, Menon, Vishnu K, Soundappan, Kathirvel, Ramani, Hemalatha, Pandya, Neha, and Dutt, Varun

Subjects
Computer Science - Machine Learning, Computer Science - Human-Computer Interaction
Abstract

Among young adults, suicide is India's leading cause of death, accounting for an alarming national suicide rate of around 16%. In recent years, machine learning algorithms have emerged to predict suicidal behavior using various behavioral traits. But to date, the efficacy of machine learning algorithms in predicting suicidal behavior in the Indian context has not been explored in literature. In this study, different machine learning algorithms and ensembles were developed to predict suicide behavior based on childhood trauma, different mental health parameters, and other behavioral factors. The dataset was acquired from 391 individuals from a wellness center in India. Information regarding their childhood trauma, psychological wellness, and other mental health issues was acquired through standardized questionnaires. Results revealed that cascade ensemble learning methods using a support vector machine, decision trees, and random forest were able to classify suicidal behavior with an accuracy of 95.04% using data from childhood trauma and mental health questionnaires. The study highlights the potential of using these machine learning ensembles to identify individuals with suicidal tendencies so that targeted interinterventions could be provided efficiently., Comment: 11 pages, presnted at the 4th International Conference on Frontiers in Computing and Systems (COMSYS 2023), Himachal Pradesh, October 2023

Published
2024

6. Classification of executive functioning performance post-longitudinal tDCS using functional connectivity and machine learning methods

Author

Rao, Akash K, Menon, Vishnu K, Uttrani, Shashank, Dixit, Ayushman, Verma, Dipanshu, and Dutt, Varun

Subjects
Computer Science - Human-Computer Interaction, Computer Science - Artificial Intelligence
Abstract

Executive functioning is a cognitive process that enables humans to plan, organize, and regulate their behavior in a goal-directed manner. Understanding and classifying the changes in executive functioning after longitudinal interventions (like transcranial direct current stimulation (tDCS)) has not been explored in the literature. This study employs functional connectivity and machine learning algorithms to classify executive functioning performance post-tDCS. Fifty subjects were divided into experimental and placebo control groups. EEG data was collected while subjects performed an executive functioning task on Day 1. The experimental group received tDCS during task training from Day 2 to Day 8, while the control group received sham tDCS. On Day 10, subjects repeated the tasks specified on Day 1. Different functional connectivity metrics were extracted from EEG data and eventually used for classifying executive functioning performance using different machine learning algorithms. Results revealed that a novel combination of partial directed coherence and multi-layer perceptron (along with recursive feature elimination) resulted in a high classification accuracy of 95.44%. We discuss the implications of our results in developing real-time neurofeedback systems for assessing and enhancing executive functioning performance post-tDCS administration., Comment: 7 pages, presented at the IEEE 20th India Council International Conference (INDICON 2023), Hyderabad, India, December 2023

Published
2024

9. Predictive Modelling of Himalayan Soil Movement: Addressing Imbalance with Synthetic Variational Autoencoder Data in Kamand Valley

Author

Kumar, Praveen, Priyanka, P., Uday, K. V., Dutt, Varun, 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, Yang, Xin-She, editor, Sherratt, Simon, editor, Dey, Nilanjan, editor, and Joshi, Amit, editor

Published
2024
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10. Attackers Have Prior Beliefs: Comprehending Cognitive Aspects of Confirmation Bias on Adversarial Decisions

Author

Katakwar, Harsh, Gonzalez, Cleotilde, Dutt, Varun, 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, Kole, Dipak Kumar, editor, Roy Chowdhury, Shubhajit, editor, Basu, Subhadip, editor, Plewczynski, Dariusz, editor, and Bhattacharjee, Debotosh, editor

Published
2024
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11. Predicting Suicidal Behavior Among Indian Adults Using Childhood Trauma, Mental Health Questionnaires and Machine Learning Cascade Ensembles

Author

Rao, Akash K., Trivedi, Gunjan Y., Trivedi, Riri G., Bajpai, Anshika, Chauhan, Gajraj Singh, Menon, Vishnu K., Soundappan, Kathirvel, Ramani, Hemalatha, Pandya, Neha, Dutt, Varun, 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, Kole, Dipak Kumar, editor, Roy Chowdhury, Shubhajit, editor, Basu, Subhadip, editor, Plewczynski, Dariusz, editor, and Bhattacharjee, Debotosh, editor

Published
2024
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16. Modeling Human Actions in the Cart-Pole Game Using Cognitive and Deep Reinforcement Learning Approach

Author

Gupta, Aadhar, Dabas, Mahavir, Uttrani, Shashank, Sharma, Sakshi, Dutt, Varun, 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, Thomson, Robert, editor, Al-khateeb, Samer, editor, Burger, Annetta, editor, Park, Patrick, editor, and A. Pyke, Aryn, editor

Published
2023
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17. Modeling Human Performance in Complex Search and Retrieve Environment Using Supervised and Unsupervised Machine Learning Techniques

Author

Uttrani, Shashank, Sharma, Sakshi, Dabas, Mahavir, Kanekar, Bhavik, Dutt, Varun, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Garg, Deepak, editor, Narayana, V. A., editor, Suganthan, P. N., editor, Anguera, Jaume, editor, Koppula, Vijaya Kumar, editor, and Gupta, Suneet Kumar, editor

Published
2023
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18. Univariate, Multivariate, and Ensemble of Multilayer Perceptron Models for Landslide Movement Prediction: A Case Study of Mandi

Author

Priyanka, Kumar, Praveen, Devi, Arti, Akshay, K., Gaurav, G., Uday, K. V., Dutt, Varun, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Garg, Deepak, editor, Narayana, V. A., editor, Suganthan, P. N., editor, Anguera, Jaume, editor, Koppula, Vijaya Kumar, editor, and Gupta, Suneet Kumar, editor

Published
2023
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19. DR-A-LSTM: A Recurrent Neural Network with a Dimension Reduction Autoencoder a Deep Learning Approach for Landslide Movements Prediction

Author

Kumar, Praveen, Priyanka, Uday, K. V., Dutt, Varun, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Garg, Deepak, editor, Narayana, V. A., editor, Suganthan, P. N., editor, Anguera, Jaume, editor, Koppula, Vijaya Kumar, editor, and Gupta, Suneet Kumar, editor

Published
2023
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20. Data-Driven Approach for Predicting Surface Subsidence Velocity from Geotechnical Parameters

Author

Priyanka, Kumar, Praveen, Chaturvedi, Pratik, Uday, K. V., Dutt, Varun, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Garg, Deepak, editor, Narayana, V. A., editor, Suganthan, P. N., editor, Anguera, Jaume, editor, Koppula, Vijaya Kumar, editor, and Gupta, Suneet Kumar, editor

Published
2023
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22. Multi-human Intelligence in Instance-Based Learning

Author

Gupta, Aadhar, Uttrani, Shashank, Paul, Gunjan, Kanekar, Bhavik, Dutt, Varun, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Tanveer, Mohammad, editor, Agarwal, Sonali, editor, Ozawa, Seiichi, editor, Ekbal, Asif, editor, and Jatowt, Adam, editor

Published
2023
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23. Predictions of Root Tensile Strength for Different Vegetation Species Using Individual and Ensemble Machine Learning Models

Author

Semwal, Tarun, Priyanka, P., Kumar, Praveen, Dutt, Varun, Uday, K. V., di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Gomes Correia, António, editor, Azenha, Miguel, editor, Cruz, Paulo J. S., editor, Novais, Paulo, editor, and Pereira, Paulo, editor

Published
2023
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25. Beyond Influence Maximization: Volume Maximization in Social Networks

Author

Choudhury, Abhinav, Kaushik, Shruti, Dutt, Varun, Alhajj, Reda, Series Editor, Glässer, Uwe, Series Editor, Aggarwal, Charu C., Advisory Editor, Brantingham, Patricia L., Advisory Editor, Gross, Thilo, Advisory Editor, Han, Jiawei, Advisory Editor, Manásevich, Raúl, Advisory Editor, Masys, Anthony J., Advisory Editor, Bourlai, Thirimachos, editor, and Karampelas, Panagiotis, editor

Published
2022
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26. Evaluating the Efficacy of Different Neural Network Deep Reinforcement Algorithms in Complex Search-and-Retrieve Virtual Simulations

Author

Vohra, Ishita, Uttrani, Shashank, Rao, Akash K., Dutt, Varun, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Garg, Deepak, editor, Jagannathan, Sarangapani, editor, Gupta, Ankur, editor, Garg, Lalit, editor, and Gupta, Suneet, editor

Published
2022
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27. Influence of Probing Action Costs on Adversarial Decision-Making in a Deception Game

Author

Katakwar, Harsh, Aggarwal, Palvi, Maqbool, Zahid, Dutt, Varun, 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, Fong, Simon, editor, Dey, Nilanjan, editor, and Joshi, Amit, editor

Published
2022
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31. A Combination of Decision Trees with Machine Learning Ensembles for Blood Glucose Level Predictions

Author

Aashima, Bhargav, Shashank, Kaushik, Shruti, Dutt, Varun, 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, Saraswat, Mukesh, editor, Roy, Sarbani, editor, Chowdhury, Chandreyee, editor, and Gandomi, Amir H., editor

Published
2022
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35. Cloud IoT for Pollution Monitoring

Author

Saini, Tushar, primary, Tomar, Gagandeep, additional, Rana, Duni Chand, additional, Attri, Suresh, additional, Chaturvedi, Pratik, additional, and Dutt, Varun, additional

Published
2022
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36. Climate decision making: influence of prevailing social norms and probability of climate change.

Author

Choudhary, Gitanshu, Sihag, Danish, Dutt, Varun, Krecek, Josef, and Ochege, Friday U.

Subjects
CLIMATE change adaptation, CLIMATE change mitigation, CLIMATE change, SOCIAL influence, SOCIAL norms
Abstract

Introduction: The global rise in climatic calamities necessitates effective strategies for understanding and addressing Earth's climate complexities. Although recent research underscores simulation tools' effectiveness in elucidating complex concepts related to Earth's climate, partner influence on climatic decisions within simulation studies has been overlooked. Methods: Employing the Partner Interactive Climate Change Simulator (P-ICCS), we examined 180 participants across varied conditions. The study manipulated partner nature (optimal, irrational, or none) and climate change probability (high or low) to observe effects on participants' responses (mitigation or adaptation) within P-ICCS. Results: Results revealed a significant impact of partner presence, with the optimal partner notably enhancing monetary investments against climate change compared to the irrational partner. Intriguingly, climate change probability did not sway participants' investment behavior. Discussion: The findings emphasize the pivotal role of partner influence in climate decision-making, offering insights for effective mitigation and adaptation strategies. [ABSTRACT FROM AUTHOR]

Published
2024
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38. Development of an Ensemble Gradient Boosting Algorithm for Generating Alerts About Impending Soil Movements

Author

Pathania, Ankush, Kumar, Praveen, Priyanka, Maurya, Aakash, Uday, K. V., Dutt, Varun, 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, 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, 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, Zhang, Junjie James, Series Editor, Li, Yong, Series Editor, and Gopi, E. S., editor

Published
2021
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40. Spam Mail Classification Using Ensemble and Non-Ensemble Machine Learning Algorithms

Author

Agarwal, Khyati, Uniyal, Prakhar, Virendrasingh, Suryavanshi, Krishna, Sai, Dutt, Varun, 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, Joshi, Amit, editor, Khosravy, Mahdi, editor, and Gupta, Neeraj, editor

Published
2021
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42. Early Warning of Water-Triggered Landslides

Author

Thakur, Vikas, Robinson, Katherine, Oguz, Emir, Depina, Ivan, Pathania, Ankush, Kumar, Praveen, Chaturvedi, Prateek, Uday, Kala Venkat, Dutt, Varun, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Patel, Satyajit, editor, Solanki, C. H., editor, Reddy, Krishna R., editor, and Shukla, Sanjay Kumar, editor

Published
2021
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43. Influence of Followers on Twitter Sentiments About Rare Disease Medications

Author

Choudhury, Abhinav, Kaushik, Shruti, Dutt, Varun, 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, Zhang, Yu-Dong, editor, Bhateja, Vikrant, editor, and Majhi, Ritanjali, editor

Published
2021
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48. Predictions of Weekly Slope Movements Using Moving-Average and Neural Network Methods: A Case Study in Chamoli, India

Author

Kumar, Praveen, Priyanka, Pathania, Ankush, Agarwal, Shubham, Mali, Naresh, Singh, Ravinder, Chaturvedi, Pratik, Uday, K. V., Dutt, Varun, 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, Nagar, Atulya K., editor, Deep, Kusum, editor, Bansal, Jagdish Chand, editor, and Das, Kedar Nath, editor

Published
2020
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49. HackIT: A Human-in-the-Loop Simulation Tool for Realistic Cyber Deception Experiments

Author

Aggarwal, Palvi, Gautam, Aksh, Agarwal, Vaibhav, Gonzalez, Cleotilde, Dutt, Varun, 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, Ahram, Tareq, editor, and Karwowski, Waldemar, editor

Published
2020
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50. Influence of Social Norms on Decision-Making Against Landslide Risks in Interactive Simulation Tools

Author

Chaturvedi, Pratik, Dutt, Varun, 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, and Cassenti, Daniel N., editor

Published
2020
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