Dr. Jigyasu Dubey

@svvv.edu.in

Professor, Department of Information Technology
Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore

Dr. Jigyasu Dubey


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https://researchid.co/jigyasudube
19

Scopus Publications

192

Scholar Citations

7

Scholar h-index

6

Scholar i10-index

Scopus Publications

  • An Empirical Study of the Constituent Factors of Player Behaviour
    Vinod Dumblekar, Jigyasu Dubey, Upinder Dhar
    Simulation and Gaming, 2025
    Background Player behaviour comprises thoughts, decisions and other actions that arise from multiple sources and contexts in games and is based on the players’ complex environment of information, vicarious experiences and perspectives. Learning and superior performance within the game are shaped by the players’ goal orientation, conviction and interactions. Objectives of the study: The study sought to understand the concept, functions and constituents of player behaviour from their perspectives, expectations, beliefs and traits. Recognising player behaviour in terms of its constituent elements would clarify and enhance knowledge of human behaviour and make it simple to use the understanding in deeper enquiry and applications. Method An instrument of 43 statements was first developed based on extant research and refined by the responses of 45 university teachers. It was then administered to 1,260 university students from whom 711 valid responses were received. The sample was processed by exploratory factor analysis under varimax rotation to yield the scale of player behaviour at a Cronbach alpha of .96 and a cumulative variance of 54 percent. Results The seven factors of the scale had an eigenvalue each of more than one, and Cronbach α values of .58 to .90. The exploratory factor analysis generated seven factors that were named conviction, experience sharing, uncertainty, unpredictability, insights, preparedness and planning. Discussion The study identified the factors of player behaviour and studied the effect of gender and education on player behaviour. It showed that player behaviour emerges from convictions which are perspectives backed by ready resources, skills and action plans to simplify, understand and respond to situations and likely problems. The behavioural differences between gender, type of programme and level of education were not significant. The study also discussed the nature of each factor and the limitations, suggestions and implications of the study.
  • Pratiti …Becoming Aware: Promoting Simulations and Games on a Global Platform
    Jigyasu Dubey, Elyssebeth Leigh, Vinod Dumblekar, Anand Rajavat, Upinder Dhar
    Lecture Notes in Computer Science, 2025
  • Improved supervised classification model for automatically categorizes of news articles
    Nikhil Chaturvedi, Jigyasu Dubey
    Online Social Networks in Business Frameworks, 2024
    A plethora of online news exists, but its organization is often lacking. Past research has primarily focused on categorizing news, especially in the realm of detecting misinformation. Employing machine learning methods for classifying internet news articles, researchers have leaned towards these approaches due to their computational efficiency and simplicity. This study proposes an enhanced supervised classification strategy for assigning news articles to their respective categories. The suggested approach begins by recognizing event sentences using triggers and sentence arguments. Following that, a machine learning model for sequence labeling will be developed to extract named entities from these event sentences. Furthermore, endeavors will be undertaken to identify contextually similar event sentences. The objective is to establish a sophisticated supervised classification method capable of automatically categorizing articles by identifying events and their associated types.
  • An Effective Sentiment Analysis in Hindi-English CodeMixed Twitter Data using Swea Clustering and Hybrid BLSTM-CNN Classification
    Abhishek Kori, Jigyasu Dubey
    Reliability Theory and Applications, 2022
    Sentiment Analysis is the process of examining the individual’s emotions. In tweet sentiment analysis, opinions in messages are categorized into positive, negative and neutral categories. A clustering-based classification approach is used to increase the accuracy level and enhance the performance in sentiment classification. The input dataset comprises of Hindi-English code-mixed text data. Initially, the input text data is pre-processed with different pre-processing techniques such as stop word removal, tokenization, Stemming, lemmatization. This effectively pre-processes the data and makes it appropriate for further processing. Afterwards, effective features such as Count Vectors, Modified term frequency-inverse document frequency (MTF-IDF), Feature hashing, Glove feature and Word2vector features are extracted for enhancing the classification performance. Afterwards, Sentiment word embedding-based agglomerative (SWEA) clustering is presented for effective sentiment feature clustering. Finally, a hybrid Bidirectional long shortterm memory-convolutional neural network (Hybrid BLSTM-CNN) is used to accurately classify tweet sentiments into positive, negative, and neutral. Here, modified horse herd optimization (MHHO) approach is used for weight optimization in Hybrid BLSTM-CNN. This optimization approach further enhances the performance of classification. The dataset used for the implementation is a Hindi-English mixed dataset. The experimental result significantly improves the different existing approaches in terms of accuracy, precision, recall, and F-measure.
  • Cyber security event sentence detection from news articles based on trigger and argument
    Nikhil Chaturvedi, Jigyasu Dubey
    Using Computational Intelligence for the Dark Web and Illicit Behavior Detection, 2022
    Events are critical for comprehending the things that occur in the actual world. The term “events” is frequently used to describe the numerous relationships between people, places, activities, and things. Events-centered modelling entails the representation of several facets of an event in addition to the semantic representation of event facts. Detecting cybersecurity occurrences is important to keep us aware of the rapidly increasing number of such incidents reported via text. The authors focus on cyber security event detection task in this study, specifically on identifying event trigger words and arguments in the cybersecurity area. For this study, they use the CASIE dataset. They propose a system that involves the events identification, event triggers identification, and event arguments extraction. In this section, they divide the cyber security event sentence classification model into two steps: event trigger and argument identification, and cyber security event sentence classification using the training corpus.
  • Optimal Sample Size Calculation for Machine Learning Based Analysis for Suicide Ideation
    Sudipto Roy, Jigyasu Dubey
    Communications in Computer and Information Science, 2022
  • Development of the Player Satisfaction Scale - A Factor Analytic Study
    Vinod Dumblekar, Jigyasu Dubey, Upinder Dhar
    Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2022
  • Preface
    Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2022
  • A Study of Blockchain for Secure Smart Contract
    Jitendra Sharma, Jigyasu Dubey
    Lecture Notes in Networks and Systems, 2021
  • Study of State of Arts Methods for Event Extraction
    Nikhil Chaturvedi, Jigyasu Dubey
    Learning and Analytics in Intelligent Systems, 2021
  • Restaurant recommendation system based on novel approach using k-means and naïve bayes classifiers
    Shreya Joshi, Jigyasu Dubey
    Advances in Intelligent Systems and Computing, 2020
  • Energy aware routing technique for improving network: An analysis and performance
    Akshay Dubey, Jigyasu Dube
    Proceedings of 2016 International Conference on ICT in Business Industry and Government Ictbig 2016, 2017
  • A hybrid approach for dynamic intrusion detection, enhancement of performance and security in MANET
    Divya Patidar, Jigyasu Dubey
    ACM International Conference Proceeding Series, 2016
  • KBB: A hybrid method for intrusion detection
    Shreya Dubey, Jigyasu Dubey
    IEEE International Conference on Computer Communication and Control Ic4 2015, 2016
  • Bayesian network based trust model with time window for Pure P2P computing systems
    Jigyasu Dubey, Vrinda Tokekar
    Proceedings 2014 IEEE Global Conference on Wireless Computing and Networking Gcwcn 2014, 2015
  • Mobile ad hoc network performance improvement using strategical RED
    Jeetendra Kumar Patel, Jigyasu Dubey
    IFIP International Conference on Wireless and Optical Communications Networks Wocn, 2012
  • A framework for pure peer-to-peer computing system
    Jigyasu Dubey, Vrinda Tokekar
    IFIP International Conference on Wireless and Optical Communications Networks Wocn, 2012
  • Identification of reliable peer groups in peer-to-peer computing systems
    Jigyasu Dubey, Vrinda Tokekar
    Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering, 2012
  • P2PCS - A pure peer-to-peer computing system for large scale computation problems
    Jigyasu Dubey, Vrinda Tokekar
    Proceedings 2011 International Conference on Computational Intelligence and Communication Systems Cicn 2011, 2011

RECENT SCHOLAR PUBLICATIONS

  • A Survey on Intrusion Detection System in IoT Environment using Deep Learning
    BB Kotame, J Dubey
    Integrating Interdisciplinary Research for Societal Well-Being, 22 , 2025
    2025
  • An Empirical Study of the Constituent Factors of Player Behaviour
    V Dumblekar, J Dubey, U Dhar
    Simulation & Gaming 56 (1), 117-136 , 2025
    2025
    Citations: 1
  • Improved Supervised Classification Model for Automatically Categorizes of News Articles
    N Chaturvedi, J Dubey
    Online Social Networks in Business Frameworks, 599-609 , 2024
    2024
  • Pratiti …Becoming Aware : Promoting Simulations and Games on a Global Platform
    J Dubey, E Leigh, V Dumblekar, A Rajavat, U Dhar
    International Simulation and Gaming Association Conference, 168-181 , 2024
    2024
  • Future-Forward Living: A Comprehensive Study of Compact and Smart Interior Solutions
    R Sharma¹, J Dubey
    Fostering Multidisciplinary Research for Sustainability, 173 , 2024
    2024
  • Contextual Sentence Similarity from News Articles
    N Chaturvedi, J Dubey
    2024
    Citations: 1
  • Future-Forward Living: A Comprehensive Study of Compact and Smart Interior Solutions for Residential Space Optimization
    R Sharma, J Dubey
    Fostering Multidisciplinary Research for Sustainability 173 , 2024
    2024
    Citations: 2
  • Psychometric Test Validation using Feature Engineering in Python
    S Roy¹, J Dubey
    Emerging Strategies in Research—Going Beyond Disciplinary Boundaries, 177 , 2023
    2023
  • Beliefs, perspectives and behaviours: An empirical study of the constituent factors of mindset
    V Dumblekar, J Dubey, U Dhar
    Advance 2023 (0310) , 2023
    2023
  • Development of the Player Satisfaction Scale
    V Dumblekar¹, J Dubey, U Dhar
    Gaming, Simulation and Innovations: Challenges and Opportunities: 52nd … , 2022
    2022
  • Gaming, Simulation and Innovations: Challenges and Opportunities: 52nd International Simulation and Gaming Association Conference, ISAGA 2021, Indore, India, September 6–10 …
    U Dhar, J Dubey, V Dumblekar, S Meijer, H Lukosch
    Springer Nature , 2022
    2022
    Citations: 2
  • Security Issues of Smart Contract
    J Sharma¹, J Dubey
    Multi-Disciplinary Approach to Research: Emerging Paradigms, 180 , 2022
    2022
  • Optimal Sample Size Calculation for Machine Learning Based Analysis for Suicide Ideation
    S Roy, J Dubey
    International Symposium on Artificial Intelligence, 191-201 , 2022
    2022
  • An Effective Sentiment Analysis in Hindi-English CodeMixed Twitter Data using Swea Clustering and Hybrid BLSTM-CNN Classification
    A Kori, J Dubey
    Reliability: Theory & Applications 17 (4 (71)), 371-391 , 2022
    2022
    Citations: 1
  • Hybrid Model for Named Entity Recognition
    N Chaturvedi, J Dubey
    International Journal of Distributed Artificial Intelligence (IJDAI) 14 (1 … , 2022
    2022
    Citations: 2
  • Cyber Security Event Sentence Detection From News Articles Based on Trigger and Argument
    N Chaturvedi, J Dubey
    Using Computational Intelligence for the Dark Web and Illicit Behavior … , 2022
    2022
  • Development of the player satisfaction scale-a factor analytic study
    V Dumblekar, J Dubey, U Dhar
    International Simulation and Gaming Association Conference, 147-160 , 2021
    2021
    Citations: 5
  • A study of blockchain for secure smart contract
    J Sharma, J Dubey
    Inventive Systems and Control: Proceedings of ICISC 2021, 591-598 , 2021
    2021
    Citations: 2
  • Study of state of arts methods for event extraction
    N Chaturvedi, J Dubey
    Proceedings of International Conference on Advances in Computer Engineering … , 2021
    2021
    Citations: 1
  • A Mechanism to Secure the Transaction of IoT Devices Using Blockchain Technology
    M Arse, J Dubey
    Proceedings of the 2nd International Conference on IoT, Social, Mobile … , 2020
    2020
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • KBB: A hybrid method for intrusion detection
    S Dubey, J Dubey
    2015 International Conference on computer, communication and control (IC4), 1-6 , 2015
    2015
    Citations: 34
  • A survey on phishing attacks
    KR Sahu, J Dubey
    International Journal of Computer Applications 88 (10) , 2014
    2014
    Citations: 32
  • Opinion based trusted AODV routing protocol for MANET
    R Hinge, J Dubey
    Proceedings of the Second International Conference on Information and … , 2016
    2016
    Citations: 20
  • Bayesian network based trust model with time window for pure P2P computing systems
    J Dubey, V Tokekar
    2014 IEEE Global Conference on Wireless Computing & Networking (GCWCN), 219-223 , 2014
    2014
    Citations: 15
  • Restaurant recommendation system based on novel approach using k-means and Naïve Bayes classifiers
    S Joshi, J Dubey
    Proceedings of the Global AI Congress 2019, 609-620 , 2020
    2020
    Citations: 11
  • Mobile ad hoc network performance improvement using strategical RED
    JK Patel, J Dubey
    2012 Ninth International Conference on Wireless and Optical Communications … , 2012
    2012
    Citations: 10
  • Identification of efficient peers in P2P computing system for real time applications
    J Dubey, V Tokekar
    arXiv preprint arXiv:1212.3074 , 2012
    2012
    Citations: 9
  • A new antheridiogen from the fern Pityrogramma calomelanos (L.) Link
    JP Dubey, SK Roy
    Proceedings/Indian Academy of Sciences 95 (3), 173-179 , 1985
    1985
    Citations: 7
  • Identification of Reliable Peer Groups in Peer-to-Peer Computing Systems
    VT Jigyasu Dubey
    Lecture Notes of the Institute for Computer Sciences, Social Informatics and … , 2012
    2012
    Citations: 6
  • Development of the player satisfaction scale-a factor analytic study
    V Dumblekar, J Dubey, U Dhar
    International Simulation and Gaming Association Conference, 147-160 , 2021
    2021
    Citations: 5
  • Identification of Efficient Peers in P2P Computing Systems for Real Time Applications
    DVT Jigyasu Dubey
    International Journal of Peer to Peer Networks (IJP2P) 3, 01-11 , 2010
    2010
    Citations: 5
  • Identification of Efficient Peers in P2P Computing Systems for Real Time Applications
    DVT Jigyasu Dubey
    International Journal of Peer to Peer Networks (IJP2P) 3, 01-11 , 2010
    2010
    Citations: 5
  • A hybrid approach for dynamic intrusion detection, enhancement of performance and security in MANET
    D Patidar, J Dubey
    Proceedings of the Second International Conference on Information and … , 2016
    2016
    Citations: 4
  • P2PCS-A Pure Peer-to-Peer Computing System for Large Scale Computation Problems
    J Dubey, V Tokekar
    2011 International Conference on Computational Intelligence and … , 2011
    2011
    Citations: 4
  • Energy aware routing technique for improving network: An analysis and performance
    A Dubey, J Dube
    2016 International Conference on ICT in Business Industry & Government … , 2016
    2016
    Citations: 3
  • An Efficient Methodological Study for Optimization of Negative Association Rule Mining
    P Vyas, J Dubey
    IJCA, ICRTITCS 3, 27-31 , 2013
    2013
    Citations: 3
  • A framework for pure Peer-to-Peer computing system
    J Dubey, V Tokekar
    2012 Ninth International Conference on Wireless and Optical Communications … , 2012
    2012
    Citations: 3
  • Future-Forward Living: A Comprehensive Study of Compact and Smart Interior Solutions for Residential Space Optimization
    R Sharma, J Dubey
    Fostering Multidisciplinary Research for Sustainability 173 , 2024
    2024
    Citations: 2
  • Gaming, Simulation and Innovations: Challenges and Opportunities: 52nd International Simulation and Gaming Association Conference, ISAGA 2021, Indore, India, September 6–10 …
    U Dhar, J Dubey, V Dumblekar, S Meijer, H Lukosch
    Springer Nature , 2022
    2022
    Citations: 2
  • Hybrid Model for Named Entity Recognition
    N Chaturvedi, J Dubey
    International Journal of Distributed Artificial Intelligence (IJDAI) 14 (1 … , 2022
    2022
    Citations: 2