Bhushan Zope

@sitpune.edu.in

Assistant Professor, Computer Science and Engineering Department
Symbiosis Institute of Technology

EDUCATION

Master of Engineering

RESEARCH INTERESTS

Natural Language Processing, Machine learning, Knowledge Graph, Computer Vision
19

Scopus Publications

252

Scholar Citations

8

Scholar h-index

6

Scholar i10-index

Scopus Publications

  • Generative Adversarial Networks for Stylized Animation Frame Interpolation and Smoothing
    Adarsh Kumar, Bhushan Dhanraj Zope, Jenefar Sudarson, Auguru Vasant, Pushp Lata Rajpoot
    2025 International Conference on Emerging Trends in Networks and Computer Communications Etncc 2025 Proceedings, 2025
    Generative Adversarial Networks (GANs) have changed the way images are processed, especially when it comes to jobs that create and change images. The goal of this have a look at is to investigate how GANs may be utilized in stylized animation frame interpolation and smoothing to make lively scenes look greater fluid and attractive. The toughest part of animation is ensuring that the transitions among frames are smooth so that the motion seems natural and the style remains the identical from body to border. When the usage of old interpolation techniques, they don't usually keep the style's aesthetics, which could purpose visible artifacts or motion that doesn't look proper. We gift a new GAN-primarily based device that blends the fine functions of deep getting to know and inventive images to create frames in among current key frames. The way our version works makes use of both content switch and fashion transfer methods to ensure that interpolated frames hold the movement drift and suit the animation's model. Some of animation datasets are used to check the framework. The interpolation and smoothing are judged on how nicely they keep visible cohesion, temporal continuity, and artistic accuracy. The test results show that our GAN model does a much better job of keeping the quality and flow of animation than other interpolation methods. This method looks like it could work well for many things, like making animated movies, video game images, and virtual worlds. It provides a flexible way to make high-quality, stylized animation.
  • Single Image Dehazing Using CNN
    Samarth Bhadane, Ranjeet Vasant Bidwe, Bhushan Zope
    Lecture Notes in Electrical Engineering, 2024
  • An Extensive Comparative Analysis on Different Maze Generation Algorithms
    International Journal of Intelligent Systems and Applications in Engineering, 2024
  • Exercise Movement Detection Using Spearman Correlation-based Sliding Window Technique
    International Journal of Intelligent Systems and Applications in Engineering, 2024
  • IoT-Based Hybrid Ensemble Machine Learning Model for Efficient Diabetes Mellitus Prediction
    International Journal of Intelligent Systems and Applications in Engineering, 2023
  • Enhancing Biochemical Extraction with BFS-driven Knowledge Graph Embedding approach.
    Ceur Workshop Proceedings, 2023
  • A Study of Traffic Monitoring Systems for Smart City
    Ranjeet Vasant Bidwe, Shraddha Bidwe, Bhushan Zope
    2023 International Conference on Integration of Computational Intelligent System Icicis 2023, 2023
    The waste of energy and time in unnecessary traffic bottlenecks has become an issue across the world. Traffic congestion not only wastes fuel and time but also pollutes the environment due to the running of engines. A person who does not want to be delayed in traffic for extended periods. An intelligent transport surveillance system will certainly cut down on the amount of time spent in traffic. Video surveillance and monitoring technologies have been increasingly popular in traffic control in recent years. Estimating the road traffic density in advance is critical for traffic signal management, especially in smart cities. A video-based surveillance system can be used to estimate traffic density and classify vehicles. In this paper, we have proposed a general flow of Traffic Monitoring systems. This research examines many approaches for detecting, tracking, counting, and classifying vehicles.
  • DDA ∗ Algorithm for Path Planning
    Abhishek Dhanraj, Bhushan Zope, Syed Mujtaba Jafri, Amar Buchade
    2023 International Conference on Integration of Computational Intelligent System Icicis 2023, 2023
    Technology is emerging day by day, and the world is getting automated. Hence, robots play a vital role in this world, from serving in restaurants to working in industries. Still, the common problem related to robots is finding the optimal shortest path to reach its destination. For finding the shortest path, the traditional A* algorithm is used. Still, in some situations, there are issues with the path found by the traditional method that is not optimally shortest or does not give results in minimum time. In this paper, an improvised DDA* algorithm is introduced, which is influenced by the shortest line segment that connects source and destination. The obstacles that appear on the shortest line segment are tackled by use of the A* algorithm. This DDA* algorithm performs better than the traditional A* algorithm in certain situations.
  • A Comprehensive Methodology for Re-evaluation of Knowledge Graph Embedding Models
    Ceur Workshop Proceedings, 2023
  • A System for Language Translation using Sequence-to-sequence Learning based Encoder
    Sonia Sarode, Raghav Thatte, Kajal Toshniwal, Jatin Warade, Ranjeet Vasant Bidwe, Bhushan Zope
    2023 International Conference on Emerging Smart Computing and Informatics Esci 2023, 2023
    Hindi is the mother tongue of nearly 133 crore Indians. Along with India, it is spoken in Nepal, Fiji, and Bangladesh. Since good knowledge of English is not common, there is a good opportunity for machine translation from English to Hindi and vice versa. Language translation is one task in which machines lag behind human power [1]. One task where machines fall short of human ability is language translation. Rule-Based Translation (RBT) systems and Statistical Machine Translation (SMT) systems are the conventional systems used for language translation. Rule Based Translation requires in-depth knowledge of the language. RBT is a fairly complicated system that can and must include many rules in order to improve quality. SMT is one of the traditional approaches to the machine translation issue. This technique works well with pairs of languages with comparable grammatical structures and requires enormous data sets. This paper proposes a better approach - a neural network model that uses “Recurrent Neural Network” (RNN) and “Gated Recurrent Unit” (GRU). The system consists of an RNN-encoder and RNN-decoder architecture and an attention mechanism to deal with long sentences.
  • Identifying Factors in Congenital Heart Disease Transition using Fuzzy DEMATEL
    Raghavendra M Devadas, Vani Hiremani, Ranjeet Vasant Bidwe, Bhushan Zope, Veena Jadhav, Rohini Jadhav
    International Journal of Advanced Computer Science and Applications, 2023
  • Comparison of Regression and Classification Models for Prediction of the Retail Sales
    Prasanna Kulkarni, Prajjwal Dewangan, Rohi Bindal, Reha Dhawan, Kishan Patel, Sashikala Mishra, Bhushan Zope
    2023 International Conference on Integration of Computational Intelligent System Icicis 2023, 2023
  • Cryptocurrency Prediction and Analysis between Supervised and Unsupervised Learning with XAI
    Arayan Gupta, Durgesh Vyas, Pranav Nale, Harsh Jain, Sashikala Mishra, Ranjeet Vasant Bidwe, Bhushan Zope, Amar Buchade
    2023 IEEE International Conference on Blockchain and Distributed Systems Security Icbds 2023, 2023
  • 'Big News' Morgans: A Chatbot for F1 News Summarization
    Harsh Vardhan Guleria, Ali Mazhar Luqmani, Siddhi Deo, Kothari Harsh Devendra, Kartikay Sharma, Sashikala Mishra, Ranjeet Vasant Bidwe, Bhushan Zope, Amar Buchade
    2023 International Conference on Integration of Computational Intelligent System Icicis 2023, 2023
  • EffResUNet: Encoder Decoder Architecture for Cloud-Type Segmentation
    Sunveg Nalwar, Kunal Shah, Ranjeet Vasant Bidwe, Bhushan Zope, Deepak Mane, Veena Jadhav, Kailash Shaw
    Big Data and Cognitive Computing, 2022
  • Deep Learning Approaches for Video Compression: A Bibliometric Analysis
    Ranjeet Vasant Bidwe, Sashikala Mishra, Shruti Patil, Kailash Shaw, Deepali Rahul Vora, Ketan Kotecha, Bhushan Zope
    Big Data and Cognitive Computing, 2022
  • Traffic Density Classification for Multiclass Vehicles Using Customized Convolutional Neural Network for Smart City
    Deepak Mane, Ranjeet Bidwe, Bhusan Zope, Nihar Ranjan
    Lecture Notes in Networks and Systems, 2022
  • Best-Fit: Best Fit Employee Recommendation
    Sumit Raut, Aniket Rathod, Piyush Sharma, Pranil Bhosale, Bhushan Zope
    2022 IEEE Pune Section International Conference Punecon 2022, 2022
  • Question Answer System: A State-of-Art Representation of Quantitative and Qualitative Analysis
    Bhushan Zope, Sashikala Mishra, Kailash Shaw, Deepali Rahul Vora, Ketan Kotecha, Ranjeet Vasant Bidwe
    Big Data and Cognitive Computing, 2022

RECENT SCHOLAR PUBLICATIONS

  • Artificial Intelligence: Towards Sustainable Intelligence: Second International Conference, AI4S 2024, Alcala de Henares, Spain, October 3–4, 2024, Proceedings
    S Tiwari, F Ortiz-Rodriguez, MA Sicilia, TR Chhetri
    Springer Nature , 2025
    2025
    Citations: 2
  • Identifying Factors in Congenital Heart Disease Transition using Fuzzy DEMATEL.
    RM Devadas, V Hiremani, RV Bidwe, B Zope, V Jadhav, R Jadhav
    International Journal of Advanced Computer Science & Applications 14 (12) , 2023
    2023
    Citations: 10
  • Comparison of Regression and Classification Models for Prediction of the Retail Sales
    P Kulkarni, P Dewangan, R Bindal, R Dhawan, K Patel, S Mishra, B Zope
    2023 International Conference on Integration of Computational Intelligent … , 2023
    2023
    Citations: 3
  • A Study of Traffic Monitoring Systems for Smart City
    RV Bidwe, S Bidwe, B Zope
    2023 International Conference on Integration of Computational Intelligent … , 2023
    2023
    Citations: 1
  • DDA* Algorithm for Path Planning
    A Dhanraj, B Zope, SM Jafri, A Buchade
    2023 International Conference on Integration of Computational Intelligent … , 2023
    2023
    Citations: 1
  • ‘Big News’ Morgans: A Chatbot for F1 News Summarization
    HV Guleria, AM Luqmani, S Deo, KH Devendra, K Sharma, S Mishra, ...
    2023 International Conference on Integration of Computational Intelligent … , 2023
    2023
    Citations: 1
  • Exercise Movement Detection Using Spearman Correlation-based Sliding Window Technique
    BZ Anant Kaulage, Deepak Mane, Gopal Upadhye, Satpalsing D. Rajput, Satish Kale
    International Journal of INTELLIGENT SYSTEMS AND APPLICATIONS INENGINEERING … , 2023
    2023
  • Cryptocurrency prediction and analysis between supervised and unsupervised learning with XAI
    A Gupta, D Vyas, P Nale, H Jain, S Mishra, RV Bidwe, B Zope, A Buchade
    2023 IEEE International Conference on Blockchain and Distributed Systems … , 2023
    2023
    Citations: 7
  • A System for Language Translation using Sequence-to-sequence Learning based Encoder
    S Sarode, R Thatte, K Toshniwal, J Warade, RV Bidwe, B Zope
    2023 International Conference on Emerging Smart Computing and Informatics … , 2023
    2023
    Citations: 7
  • An extensive comparative analysis on different maze generation algorithms
    D Mane, R Harne, T Pol, R Asthagi, S Shine, B Zope
    International Journal of Intelligent Systems and Applications in Engineering … , 2023
    2023
    Citations: 8
  • IoT-based hybrid ensemble machine learning model for efficient diabetes mellitus prediction
    R Ashtagi, P Dhumale, D Mane, HM Naveen, RV Bidwe, B Zope
    International Journal of Intelligent Systems and Applications in Engineering … , 2023
    2023
    Citations: 9
  • A Comprehensive Methodology for Re-evaluation of Knowledge Graph Embedding Models.
    B Zope, S Mishra, S Tiwari, DR Vora, K Kotecha
    TEXT2KG/BiKE@ ESWC, 70-89 , 2023
    2023
    Citations: 2
  • Enhancing Biochemical Extraction with BFS-driven Knowledge Graph Embedding approach.
    B Zope, S Mishra, S Tiwari
    TEXT2KG/BiKE@ ESWC, 235-243 , 2023
    2023
    Citations: 4
  • Best-fit: best fit employee recommendation
    S Raut, A Rathod, P Sharma, P Bhosale, B Zope
    2022 IEEE Pune Section International Conference (PuneCon), 1-6 , 2022
    2022
    Citations: 6
  • EffResUNet: encoder decoder architecture for cloud-type segmentation
    S Nalwar, K Shah, RV Bidwe, B Zope, D Mane, V Jadhav, K Shaw
    Big Data and Cognitive Computing 6 (4), 150 , 2022
    2022
    Citations: 12
  • Single Image Dehazing Using CNN
    S Bhadane, RV Bidwe, B Zope
    International Conference on Computational Intelligence in Machine Learning … , 2022
    2022
    Citations: 1
  • Question answer system: A state-of-art representation of quantitative and qualitative analysis
    B Zope, S Mishra, K Shaw, DR Vora, K Kotecha, RV Bidwe
    Big Data and Cognitive Computing 6 (4), 109 , 2022
    2022
    Citations: 26
  • Traffic density classification for multiclass vehicles using customized convolutional neural network for smart city
    D Mane, R Bidwe, B Zope, N Ranjan
    Communication and Intelligent Systems: Proceedings of ICCIS 2021, 1015-1030 , 2022
    2022
    Citations: 25
  • Deep learning approaches for video compression: a bibliometric analysis
    RV Bidwe, S Mishra, S Patil, K Shaw, DR Vora, K Kotecha, B Zope
    Big Data and Cognitive Computing 6 (2), 44 , 2022
    2022
    Citations: 88
  • Question Answer System: A State-of-Art Representation of Quantitative and Qualitative Analysis. Big Data and Cognitive Computing 6, 4 (2022)
    B Zope, S Mishra, K Shaw, DR Vora, K Kotecha, RV Bidwe
    2022
    Citations: 2

MOST CITED SCHOLAR PUBLICATIONS

  • Deep learning approaches for video compression: a bibliometric analysis
    RV Bidwe, S Mishra, S Patil, K Shaw, DR Vora, K Kotecha, B Zope
    Big Data and Cognitive Computing 6 (2), 44 , 2022
    2022.0
    Citations: 88
  • Question answer system: A state-of-art representation of quantitative and qualitative analysis
    B Zope, S Mishra, K Shaw, DR Vora, K Kotecha, RV Bidwe
    Big Data and Cognitive Computing 6 (4), 109 , 2022
    2022.0
    Citations: 26
  • Traffic density classification for multiclass vehicles using customized convolutional neural network for smart city
    D Mane, R Bidwe, B Zope, N Ranjan
    Communication and Intelligent Systems: Proceedings of ICCIS 2021, 1015-1030 , 2022
    2022.0
    Citations: 25
  • A survey of morphing techniques
    B Zope, SB Zope
    International Journal of Advanced Engineering, Management and Science 3 (2 … , 2017
    2017.0
    Citations: 18
  • EffResUNet: encoder decoder architecture for cloud-type segmentation
    S Nalwar, K Shah, RV Bidwe, B Zope, D Mane, V Jadhav, K Shaw
    Big Data and Cognitive Computing 6 (4), 150 , 2022
    2022.0
    Citations: 12
  • Identifying Factors in Congenital Heart Disease Transition using Fuzzy DEMATEL.
    RM Devadas, V Hiremani, RV Bidwe, B Zope, V Jadhav, R Jadhav
    International Journal of Advanced Computer Science & Applications 14 (12) , 2023
    2023.0
    Citations: 10
  • IoT-based hybrid ensemble machine learning model for efficient diabetes mellitus prediction
    R Ashtagi, P Dhumale, D Mane, HM Naveen, RV Bidwe, B Zope
    International Journal of Intelligent Systems and Applications in Engineering … , 2023
    2023.0
    Citations: 9
  • An extensive comparative analysis on different maze generation algorithms
    D Mane, R Harne, T Pol, R Asthagi, S Shine, B Zope
    International Journal of Intelligent Systems and Applications in Engineering … , 2023
    2023.0
    Citations: 8
  • Cryptocurrency prediction and analysis between supervised and unsupervised learning with XAI
    A Gupta, D Vyas, P Nale, H Jain, S Mishra, RV Bidwe, B Zope, A Buchade
    2023 IEEE International Conference on Blockchain and Distributed Systems … , 2023
    2023.0
    Citations: 7
  • A System for Language Translation using Sequence-to-sequence Learning based Encoder
    S Sarode, R Thatte, K Toshniwal, J Warade, RV Bidwe, B Zope
    2023 International Conference on Emerging Smart Computing and Informatics … , 2023
    2023.0
    Citations: 7
  • Best-fit: best fit employee recommendation
    S Raut, A Rathod, P Sharma, P Bhosale, B Zope
    2022 IEEE Pune Section International Conference (PuneCon), 1-6 , 2022
    2022.0
    Citations: 6
  • Deep learning approaches for video compression: a bibliometric analysis. Big Data and Cognitive Computing, 6 (2): 44
    RV Bidwe, S Mishra, S Patil, K Shaw, DR Vora, K Kotecha, B Zope
    2022.0
    Citations: 6
  • Deep learning approaches for video compression: a bibliometric analysis. Big Data Cogn. Comput. 6 (2), 44 (2022)
    RV Bidwe, S Mishra, S Patil, K Shaw, DR Vora, K Kotecha, B Zope
    Citations: 5
  • Deep learning approaches for video compression: a bibliometric analysis. Big Data Cogn. Comput. 6, 44 (2022)
    R Bidwe, S Mishra, S Patil, K Shaw, D Vora, K Kotecha, B Zope
    Citations: 5
  • Enhancing Biochemical Extraction with BFS-driven Knowledge Graph Embedding approach.
    B Zope, S Mishra, S Tiwari
    TEXT2KG/BiKE@ ESWC, 235-243 , 2023
    2023.0
    Citations: 4
  • Comparison of Regression and Classification Models for Prediction of the Retail Sales
    P Kulkarni, P Dewangan, R Bindal, R Dhawan, K Patel, S Mishra, B Zope
    2023 International Conference on Integration of Computational Intelligent … , 2023
    2023.0
    Citations: 3
  • Information hiding method based on stegnography and image morphing
    B Zope, S Patil
    Am. Int. J. Res. Sci. Technol. Eng. Math 12, 27-32 , 2015
    2015.0
    Citations: 3
  • Artificial Intelligence: Towards Sustainable Intelligence: Second International Conference, AI4S 2024, Alcala de Henares, Spain, October 3–4, 2024, Proceedings
    S Tiwari, F Ortiz-Rodriguez, MA Sicilia, TR Chhetri
    Springer Nature , 2025
    2025.0
    Citations: 2
  • A Comprehensive Methodology for Re-evaluation of Knowledge Graph Embedding Models.
    B Zope, S Mishra, S Tiwari, DR Vora, K Kotecha
    TEXT2KG/BiKE@ ESWC, 70-89 , 2023
    2023.0
    Citations: 2
  • Question Answer System: A State-of-Art Representation of Quantitative and Qualitative Analysis. Big Data and Cognitive Computing 6, 4 (2022)
    B Zope, S Mishra, K Shaw, DR Vora, K Kotecha, RV Bidwe
    2022.0
    Citations: 2