Bhagyashree Ambore

@rnsit.ac.in

Associate Professor and Computer Science and Engineering
RNS Institute of Technology

Bhagyashree Ambore


                              Download Compact PDF  
https://researchid.co/ambore.bhagyashree

EDUCATION

PhD in CSE

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition
10

Scopus Publications

52

Scholar Citations

3

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • Project Akshara: A Comparative Study of Deep Learning Architectures for Robust Kannada Handwritten Digit Classification
    Hemanth T, H A Charvi, Vaibhavi Shastri, Achyutha B Jagadeesh, Bhagyashree Ambore, et al.
    Proceedings of the 1st IEEE International Conference on Advances in Next Gen Computer Science Icancs 2025, 2025
  • Single Source Shortest Path Algorithm - Based on Reverse Tracking from Destination, using Dynamic Programming
    M Srihari, L Suresh, Bhagyashree Ambore, K Sunitha
    2024 International Conference on Knowledge Engineering and Communication Systems Ickecs 2024, 2024
    This research is conducted to design and develop a new algorithm for finding out the classic “Shortest Path” between every pair of vertices using an atypical approach. The approach follows the principle of optimality, and it is an enhanced version of traditional “Dijkstra’s and FloydWarshall” algorithms. Here, we begin with the “destination” node and backtrack to all the previous vertices. The core of the algorithm involves initializing data structures to track distances and paths, and then iteratively updating these values based on the shortest paths of the last visited vertices. By iteratively selecting the node with the minimum distance and considering its neighbours, the algorithm systematically constructs the shortest path. The result is a versatile and efficient technique for solving the shortest path problems for real-time applications. The algorithm’s adaptability and effectiveness make it a valuable addition to the toolkit of graph-related tasks, offering a unique perspective on finding the shortest path while accommodating applications in fields such as network routing, transportation, and logistics.
  • Detection of Stress over Social Interactions Using Machine Learning and Natural Language Processing
    Aishwarya G, Kavitha B, Purnima S Mittalakod, Sunitha K, Bhagyashree Ambore
    Proceedings of International Conference on Contemporary Computing and Informatics Ic3i 2023, 2023
    In the field of natural language processing, the investigation of stress is turning out to be increasingly critical. The advancement of recommender frameworks and computerized emotional well-being assessments can profit from the investigation of stress discovery for psychological wellness expectation, as per earlier examination. In this study, we enhance sentiment and emotion analysis to measure the stress levels of people by analyzing their social networking posts and comments. Using machine learning techniques and the deep learning sentiment analysis model BERT, we analyze sentiment using enormous datasets of tweets. We also used an unsupervised machine learning technique called Latent Dirichlet Allocation to scan a set of papers to find word and phrase patterns and create word groups and related phrases that most accurately represented the documents. This aids in predicting the subject that is connected to the textual information. We will be able to identify users' emotions online with the help of these models. Additionally, stress or depression can be studied using these feelings. In summary, the BERT model and ML models have very high detection rates. The benefits of this research can be shown in terms of mental wellness.
  • The Impact of Artificial Intelligence as Advanced Technologies on Bitcoin Industries
    Srinivas D, Bhagyashree Ambore, Sumit Chauhan, Abhijit Tarawade, Melanie Lourens, et al.
    2023 3rd International Conference on Advancement in Electronics and Communication Engineering Aece 2023, 2023
    Cryptocurrencies have become a leading kind of digital currency in recent years, and the financial system is also becoming a key factor. Some Artificial Intelligence techniques are needed to lower investing risk and anticipate price, trend, portfolio construction, and fraud detection. The most well-known cryptocurrency, Bitcoin, is discussed along with recent research on AI approaches for cryptocurrencies. The goal of this study is to examine how well machine learning (ML) and artificial intelligence (AI) techniques forecast the value of cryptocurrencies like bitcoin. With regard to Bitcoin, the largest decentralized digital currency in terms of market capitalization, we investigate the possibility of offering unusual risk-changed rewards using Support Vector Machines (SVM) and Artificial Neural Networks (ANN) assembled techniques. The outcomes demonstrate the way that trader can utilize SVM to create moderate profits from a risk changed premise, even subsequent to thinking about exchange costs. The exploration likewise suggests that ANN can outflank even buy and-hold procedures during delayed bull patterns by using transient educational shortcomings to create abnormal benefits.
  • A Conceptual Investigation on the Image Processing using Artificial Intelligence and Tensor Flow Models through Correlation Analysis
    Bhagyashree Ambore, Ayan Das Gupta, Shaik Mohammad Rafi, Sandeep Yadav, Kapil Joshi, et al.
    2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2022, 2022
    Artificial intelligence plays a vital role in image processing and tensor flow models. Due to increasing demand of generating data from image as well as to make distinction between images the necessity and relevance of these two topics are also growing. Image classification and processing is a recent trend where traffic lights and other objects are identified by Machine Learning (ML) and Deep Learning (DL) technologies. These technologies are further implemented inside self-driven vehicles for developing autonomous processing's and information transfer. However, an accuracy and speed of detection process is a concern in today's world. Thus, this study paper provides an insight into image processing accuracy by “single-stage object detection model” or SSD MobileNetV2 and “Regional-based Convolutional Neural Network” or RCNN. Pearson correlation analysis and mean was obtained using the input data. The output data were further analysed and discussed. Findings suggested that RCNN is 80.90% accurate when it is allowed to detect traffic lights present at 11.9 metres apart; whereas SSD MobileNet V2 has shown 71.8% of accuracy when the traffic light was detected present at the same distance. On average, the RCNN shows higher accuracy than SSD MobileNet V2. The discussion found that RCNN is more accurate and slower than SSD MobileNetV2.
  • Novel model for boosting security strength and energy efficiency in internet-of-things using multi-staged game
    Bhagyashree Ambore, Suresh L
    International Journal of Electrical and Computer Engineering, 2019
    Security as well as energy efficiency is one of the most inevitable and challenging problems when it comes it large scale network deployment like INternet-of-Things (IoT). After reviewing existing research work on IoT, it was found that there are discrete set of solution for security as well as for energy. However, there is little research work that has jointly investigated both the problems with respect to IoT. Apart from this, there are also various form of attacks that cost energy of sensors that constitutes core physical devices in IoT. Therefore, these manuscripts present a novel idea for identifying and resisting the security breach within an IoT system ensuring energy efficiency too. Harnessing the modelling capability of game-theory, the proposed system offers a joint solution towards these problems. The simulated outcome of the study is found to offer balance performance for better energy efficiency and robust threat mitigation capability when compared with existing approaches.
  • Integrated Model of Bandwidth Optimization and Energy Efficiency in Internet-of-Things
    Bhagyashree Ambore, L. Suresh
    Advances in Intelligent Systems and Computing, 2019
  • Game-Decision Model for Isolating Intruder and Bridging Tradeoff Between Energy and Security
    Bhagyashree Ambore, L. Suresh
    Advances in Intelligent Systems and Computing, 2019
  • Assessing trends of existing research contribution towards Internet-of-Things
    Bhagyashree Ambore, Suresh L
    International Journal of Advanced Computer Science and Applications, 2018
    With the growing demands of system automation, technology integration, and non-human intervention technique, Internet-of-Things (IoT) has evolved as a boon and value-added services over pervasive computing. IoT comprises a highly complex system that integrates ubiquitous computing with low-powered data capturing devices via a gateway. Along with various forms of unimaginable advantages, IoT is also associated with a huge list of ongoing problems. The prime objective of the paper is to gauge the effectiveness of existing works of literature being carried out towards mitigating the issues of IoT. The paper illustrates the most frequently explored research topic and less regularly explored topic in IoT for providing a true picture of existing research trends. The paper also idealizes some of the research gaps that have been extracted after reviewing the existing literature.
  • Optimal and robust framework for enhancing network lifetime using power efficient AODV in mobile Ad-hoc network
    Bhagyashree Ambore, R. Suma, Jitendranath Mungara
    Lecture Notes in Electrical Engineering, 2013

RECENT SCHOLAR PUBLICATIONS

  • TRANSFORMER-BASED MODELS FOR MULTILINGUAL SEXISM DETECTION IN SOCIAL NETWORKS: A BIAS-AWARE METHOD
    SU Bhagyashree Ambore1*, Aishwarya G, Sunitha K, Nivedita G Y
    SCIENTIFIC CULTURE 12 (1.1), pp. 4106-4113 , 2026
    2026
  • Green Shield Harvest (GSH): AI-Driven Sustainable Hydroponic System for Resource-Efficient Agriculture
    M Srihari, RS Suraj, B Ambore, S Tejas
    Applied Mathematics, Automation and Computing, 175-180 , 2026
    2026
  • Project Akshara: A Comparative Study of Deep Learning Architectures for Robust Kannada Handwritten Digit Classification
    T Hemanth, HA Charvi, V Shastri, AB Jagadeesh, B Ambore, ...
    2025 International Conference on Advances in Next-Gen Computer Science … , 2025
    2025
  • Hydroponics: Innovative Sustainable Technologies for Tomato Cultivation
    JS Bhagyashree Ambore, Priyanga P, Veena V Pattankar, Nivedita G Y, Sunitha K
    Journal of Information Systems Engineering and Management 10 (53), 11 , 2025
    2025
  • Early Detection and Symptoms of Diabetic Retinopathy in Children: A Deep Learning Approach
    BA Aishwarya G , Smitha BA, Nivedita G Y , Sunitha K
    Journal of Neonatal Surgery 14 (24s), 8 , 2025
    2025
  • Early Detection of Diabetic Retinopathy Using Transfer Learning with VGG16: A Deep Learning Approach for Retinal Fundus Analysis
    AG Priyanga P, Satish Kumar S, Bhagyashree Ambore, Sunitha K, Nivedita G Y
    JournalofNeonatalSurgery 14 (22), 651-660 , 2025
    2025
  • Hydroponics: Advancing Sustainable Technologies and Applications in Crop Production with a Focus on Lettuce Cultivation
    AG Bhagyashree Ambore , Smitha B A, Sunitha K, Priyanga P
    Journal of Information Systems Engineering and Management , 2024
    2024
    Citations: 3
  • Single Source Shortest Path Algorithm-Based on Reverse Tracking from Destination, using Dynamic Programming
    M Srihari, L Suresh, B Ambore, K Sunitha
    2024 International Conference on Knowledge Engineering and Communication … , 2024
    2024
  • Survey On: Smart Farming Solutions for Crop Recommendations and Disease Monitoring
    S M P, S G, U M, V Sarathy, DB Ambore
    IJISRT (International Journal of Innovative Science and Research Technology … , 2024
    2024
  • Automated Classroom Dynamics Analysis using YOLOv8-based Posture Detection for Enhanced Student Engagement
    SRSB Ambore
    Journal of Image Processing and Artificial Intelligence 10 (3), 8 , 2024
    2024
  • Automation Of Video Annotation Using Textual Description: A Comprehensive Survey
    SS Dr. Bhagyashree Ambore, 2Neha B A, 3Sujay Karanth, 4Ganesh Sharma
    International Journal for Research Trends and Innovation (www.ijrti.org) 9 … , 2024
    2024
  • CBD: An Efficient Time Series Segmentation Algorithm and its Potential Integration with Machine Learning Approaches
    JS Bhagyashree Ambore, Sunitha K, Aishwarya G
    Nanotechnology Perceptions 20 (1), 792-805 , 2024
    2024
  • OVERVIEW OF CHATGPT - AI TOOL
    AG Dr. Sunitha K, Dr. Bhagyashree Ambore
    SIPH 1, 120 , 2024
    2024
  • 2023 3rd International Conference on Advancement in Electronics & Communication Engineering (AECE) November 23-24, 2023 In Collaboration with ECE & CSE Department Raj Kumar …
    A MARIYAPPAN, A PATEL, A MISHRA, A BABBAR
    2023
  • The Impact of Artificial Intelligence as Advanced Technologies on Bitcoin Industries
    D Srinivas, B Ambore, S Chauhan, A Tarawade, M Lourens, M Tiwari
    2023 3rd International Conference on Advancement in Electronics … , 2023
    2023
  • Detection of stress over social interactions using machine learning and natural language processing
    G Aishwarya, B Kavitha, SM Purnima, K Sunitha
    2023 6th International Conference on Contemporary Computing and Informatics … , 2023
    2023
    Citations: 4
  • A conceptual investigation on the image processing using artificial intelligence and tensor flow models through correlation analysis
    B Ambore, AD Gupta, SM Rafi, S Yadav, K Joshi, RD Sivakumar
    2022 2nd International Conference on Advance Computing and Innovative … , 2022
    2022
    Citations: 27
  • Case study on Fraudulent Call Detection
    BA D Bhushan, Deeksha p
    International Journal of Communication and Networking System (IJCNES) 11 (1 … , 2022
    2022
  • Novel model for boosting security strength and energy efficiency in internet-of-things using multi-staged game
    B Ambore, L Suresh
    International Journal of Electrical and Computer Engineering 9 (5), 4326 , 2019
    2019
    Citations: 11
  • Integrated Model of Bandwidth Optimization and Energy Efficiency in Internet-of-Things
    B Ambore, L Suresh
    Proceedings of the Computational Methods in Systems and Software, 379-388 , 2019
    2019
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • A conceptual investigation on the image processing using artificial intelligence and tensor flow models through correlation analysis
    B Ambore, AD Gupta, SM Rafi, S Yadav, K Joshi, RD Sivakumar
    2022 2nd International Conference on Advance Computing and Innovative … , 2022
    2022
    Citations: 27
  • Novel model for boosting security strength and energy efficiency in internet-of-things using multi-staged game
    B Ambore, L Suresh
    International Journal of Electrical and Computer Engineering 9 (5), 4326 , 2019
    2019
    Citations: 11
  • Detection of stress over social interactions using machine learning and natural language processing
    G Aishwarya, B Kavitha, SM Purnima, K Sunitha
    2023 6th International Conference on Contemporary Computing and Informatics … , 2023
    2023
    Citations: 4
  • Hydroponics: Advancing Sustainable Technologies and Applications in Crop Production with a Focus on Lettuce Cultivation
    AG Bhagyashree Ambore , Smitha B A, Sunitha K, Priyanga P
    Journal of Information Systems Engineering and Management , 2024
    2024
    Citations: 3
  • Optimal and robust framework for enhancing network lifetime using power efficient AODV in mobile Ad-hoc network
    B Ambore, R Suma, J Mungara
    Proceedings of the Third international conference on trends in information … , 2012
    2012
    Citations: 3
  • Integrated Model of Bandwidth Optimization and Energy Efficiency in Internet-of-Things
    B Ambore, L Suresh
    Proceedings of the Computational Methods in Systems and Software, 379-388 , 2019
    2019
    Citations: 1
  • Cybernetics and Automation Control Theory Methods in Intelligent Algorithms: Proceedings of 8th Computer Science On-line Conference 2019, Vol. 3
    R Silhavy
    Springer , 2019
    2019
    Citations: 1
  • Game-Decision Model for Isolating Intruder and Bridging Tradeoff Between Energy and Security
    B Ambore, L Suresh
    Computer Science On-line Conference, 11-20 , 2019
    2019
    Citations: 1
  • Assessing trends of existing research contribution towards Internet-of-Things
    B Ambore, L Suresh
    International Journal of Advanced Computer Science and Applications 9 (9) , 2018
    2018
    Citations: 1
  • TRANSFORMER-BASED MODELS FOR MULTILINGUAL SEXISM DETECTION IN SOCIAL NETWORKS: A BIAS-AWARE METHOD
    SU Bhagyashree Ambore1*, Aishwarya G, Sunitha K, Nivedita G Y
    SCIENTIFIC CULTURE 12 (1.1), pp. 4106-4113 , 2026
    2026
  • Green Shield Harvest (GSH): AI-Driven Sustainable Hydroponic System for Resource-Efficient Agriculture
    M Srihari, RS Suraj, B Ambore, S Tejas
    Applied Mathematics, Automation and Computing, 175-180 , 2026
    2026
  • Project Akshara: A Comparative Study of Deep Learning Architectures for Robust Kannada Handwritten Digit Classification
    T Hemanth, HA Charvi, V Shastri, AB Jagadeesh, B Ambore, ...
    2025 International Conference on Advances in Next-Gen Computer Science … , 2025
    2025
  • Hydroponics: Innovative Sustainable Technologies for Tomato Cultivation
    JS Bhagyashree Ambore, Priyanga P, Veena V Pattankar, Nivedita G Y, Sunitha K
    Journal of Information Systems Engineering and Management 10 (53), 11 , 2025
    2025
  • Early Detection and Symptoms of Diabetic Retinopathy in Children: A Deep Learning Approach
    BA Aishwarya G , Smitha BA, Nivedita G Y , Sunitha K
    Journal of Neonatal Surgery 14 (24s), 8 , 2025
    2025
  • Early Detection of Diabetic Retinopathy Using Transfer Learning with VGG16: A Deep Learning Approach for Retinal Fundus Analysis
    AG Priyanga P, Satish Kumar S, Bhagyashree Ambore, Sunitha K, Nivedita G Y
    JournalofNeonatalSurgery 14 (22), 651-660 , 2025
    2025
  • Single Source Shortest Path Algorithm-Based on Reverse Tracking from Destination, using Dynamic Programming
    M Srihari, L Suresh, B Ambore, K Sunitha
    2024 International Conference on Knowledge Engineering and Communication … , 2024
    2024
  • Survey On: Smart Farming Solutions for Crop Recommendations and Disease Monitoring
    S M P, S G, U M, V Sarathy, DB Ambore
    IJISRT (International Journal of Innovative Science and Research Technology … , 2024
    2024
  • Automated Classroom Dynamics Analysis using YOLOv8-based Posture Detection for Enhanced Student Engagement
    SRSB Ambore
    Journal of Image Processing and Artificial Intelligence 10 (3), 8 , 2024
    2024
  • Automation Of Video Annotation Using Textual Description: A Comprehensive Survey
    SS Dr. Bhagyashree Ambore, 2Neha B A, 3Sujay Karanth, 4Ganesh Sharma
    International Journal for Research Trends and Innovation (www.ijrti.org) 9 … , 2024
    2024
  • CBD: An Efficient Time Series Segmentation Algorithm and its Potential Integration with Machine Learning Approaches
    JS Bhagyashree Ambore, Sunitha K, Aishwarya G
    Nanotechnology Perceptions 20 (1), 792-805 , 2024
    2024