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
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.
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