SimCities Reimagined: A Digital Twin Technology Empowering Smart Urbanism Sampada K S, Sakshitha A, Srushti M S, Surabhi S V Proceedings of IEEE International Conference for Women in Innovation Technology and Entrepreneurship Icwite 2025, 2025 SimCities Reimagined is a virtual reflection of the physical city, built not just to mirror reality, but to understand and improve it. It integrates machine learning, predictive modeling, and geospatial simulation to create a dynamic environment where city planners, researchers, and citizens can visualize future possibilities and evaluate their outcomes. It empowers users to explore the “what ifs” of urban growth: What if a flyover is built here? What happens to traffic if this road is closed? Can we reduce emissions? The Digital Twin does not merely provide answers-it offers clarity. Unlike traditional urban models, this platform functions as a non-real-time strategic simulation tool, designed to guide longterm decisions. It forecasts traffic behavior, estimates renewable energy output, and simulates environmental shifts-offering a comprehensive view of how the city evolves with each choice made. Through this, it transforms cold data into meaningful insights, allowing stakeholders to build not just a smarter city, but a kinder, more livable one. SimCities is not just a technological leap-it's a step toward sustainable innovation that serves people while preserving the city's essence.
Understanding Deepfake Detection: Advances, Limitations, and Security Concerns Sampada K S, Manushree N, Prathibha, Panuganti Mugdha, Prisha Mehta 2025 IEEE 4th International Conference for Advancement in Technology Iconat 2025, 2025 The rapid-fire advancement of artificial intelligence (AI) has led to the emergence of deepfake technology, posing serious challenges to information authenticity, security, and public trust. As synthetic media becomes decreasingly realistic, the need for dependable deepfake discovery systems has boosted across colorful sectors. Contemporary discovery styles primarily grounded on convolutional neural networks(CNNs), vision mills, and cold-blooded AI ways have achieved high delicacy in controlled laboratory settings. still, their effectiveness frequently diminishes significantly in real- world surroundings, especially when encountering new or inimical manipulations. likewise, the reliance on large training datasets introduces critical enterprises regarding stoner sequestration and data security. This check explores recent developments in deepfake discovery, including multimodal approaches, allied literacy, and blockchain- grounded verification. It identifies major specialized and ethical challenges while proposing exploration directions to develop more robust, sequestration- conserving, and interpretable discovery fabrics.
Intelligent Based System to Identify Malpractice in Assignment/Internals Using Document Comparison Technique Kiran P, Anjan Kumar K N, Hemanth S, Sampada K S 7th IEEE International Conference on Computational Systems and Information Technology for Sustainable Solutions Csitss 2023 Proceedings, 2023 Documents are usually collected for evaluation from students. These documents require extensive scrutiny from instructor in assigning the marks. Document similarity technique can be used for identifying the initial level of malpractice. Proposed model uses three algorithms Jaccard index, TF -IDF and Doc2Vec for identification. Doc2Vec proves to be more accurate that the other two. There is a tradeoff between execution time and similarity index. Results indicate that based on the requirement all the three algorithms can be used. In this paper we have also mentioned the threshold that can be used for identifying malpractice.
CNN EYE-An outlook for the visually impaired P. Kiran, K. S. Sampada, S. Hemanth, N. Anjan Kumar Iet Conference Proceedings, 2023 In an era of advancing technology, there remains a pressing need to address the challenges faced by visually impaired individuals, particularly in the realm of object recognition. This paper presents a comprehensive model aimed at developing an innovative and cost-effective solution for fruit and vegetable recognition, catering specifically to the visually impaired community. The proposed system integrates computer vision technology, leveraging the YOLOv5 algorithm, to enable real-time detection and identification of various fruits. The paper begins with a problem statement highlighting the difficulties faced by visually impaired individuals in identifying objects accurately. It introduces the concept of using machine learning, particularly convolutional neural networks (CNNs), for object recognition and highlights the significance of real-time detection. The YOLOv5 algorithm is chosen as the core technology due to its efficiency and ability to operate locally without relying on cloud resources. The proposed architecture is described, emphasizing the use of YOLOv5 as the one-stage object detection model. The paper outlines the steps to obtain results, starting with the installation of necessary dependencies, dataset preparation, and model training. Additionally, the hardware and software requirements are detailed, including the use of Raspberry Pi for real-time processing and a speaker for auditory feedback. The results indicate practical application of the YOLOv5 model, providing snapshots of the system's ability to detect and identify fruits, such as apples. These visual outputs are coupled with voice-based feedback for user accessibility. The proposed model underlines the affordability and accessibility, making it a promising tool to empower the visually impaired community.
Fruit Grading to Assist Selection of Fresh Fruits Vibha V, Vinamra, Sampada K S 2021 International Conference on Circuits Controls and Communications Ccube 2021, 2021 India produces annually 10.9 % of the total fruit production in the world accounting for the second largest fruit producer in the world. But due to sudden weather changes and various other factors, the produced fruits end up reaching customers in a damaged state. In order for the customers to buy fresh fruits without physically handling them and in order to help a section of people in particular, image classification paves a way by identifying fruits as fresh and rotten based on their physical appearance.
Efficient keyword query routing in Linked Data K S Sampada, N P Kavya 2016 International Conference on Computation System and Information Technology for Sustainable Solutions Csitss 2016, 2016 The emerge of social media and other networking sites creates huge amount of data every day. These data are associated with further sources and distributed as Linked Data by transforming into Resource Description Framework [RDF]. To find the precise information, we need to have a fast and an effective access to data. Structured Query Language [SQL] is not convenient to exploit the associated data for a usual web user. To overcome the above problem, searching through keyword has proven to be instinctive. It uses the keyword relationships collected individually for single database to capture elements at data level. With increase in the amount of sources and links connecting them to database the potential results may also exponentially increased.
Enhancing Conceptual Understanding through Reflective Learning Journals with LLMs: A Case Study in Automata Theory KS Sampada, S Deepa, BN Yashasvi 2025 IEEE International Conference on Teaching, Assessment, and Learning for … , 2025 2025
MarketSafe AI: A Privacy-Preserving Framework for Digital Marketing G Patil, C Hurkadli, D MP, AM Danagoud, S KS 2025 2nd International Conference on Software, Systems and Information … , 2025 2025
SimCities Reimagined: A Digital Twin Technology Empowering Smart Urbanism KS Sampada, A Sakshitha, MS Srushti, SV Surabhi 2025 IEEE International Conference for Women in Innovation, Technology … , 2025 2025
Understanding Deepfake Detection: Advances, Limitations, and Security Concerns KS Sampada, N Manushree 2025 IEEE 4th International Conference for Advancement in Technology (ICONAT … , 2025 2025
Algorithmic Orchestration: Deep Learning Techniques in Music Generation PKM Sampada K S, Deepa S Power System Technology 49 (1), 803-813 , 2025 2025
Cervical Cancer Binary Classification DS KS 2024
CNN EYE-an outlook for the visually impaired P Kiran, KS Sampada, S Hemanth, N Anjan Kumar IET Conference Proceedings CP860 2023 (22), 79-83 , 2023 2023
Intelligent Based System to Identify Malpractice in Assignment/Internals Using Document Comparison Technique P Kiran, AK KN, S Hemanth, KS Sampada 2023 7th International Conference on Computation System and Information … , 2023 2023 Citations: 1
Privacy Preserving Keyword Search Over Hash Encrypted Data in Distributed Environment KS Sampada, NP Kavya Information Systems for Intelligent Systems: Proceedings of ISBM 2022, 637-650 , 2023 2023
Fruit grading to assist selection of fresh fruits V Vibha, KS Sampada 2021 international conference on circuits, controls and communications … , 2021 2021 Citations: 1
Comparative analysis of Consensus Algorithms in Blockchain Technologies P Ridha, V Bagaria, KS Sampada International Journal of Computer Applications 183 (16), 35-41 , 2021 2021
Automated Essay Evaluation using Chart Parser KS Sampada, S Anusha, KN Vignesh International Journal of Computer Applications 183 (7), 15-18 , 2021 2021
Privacy Preserving Keyword Search by Index Confidentiality KS Sampada, NP Kavya International Journal of Engineering Research in Computer Science and … , 2021 2021
Comparitive Analysis of Data Encoding Techniques P Niharika, B Varnika, KS Sampada International Journal of Computer Science Engineering and Technology (IJCSET … , 2021 2021
Approximate Keyword Search Using Content Modelling KS Sampada, NP Kavya Solid State Technology 63 (4), 1699-1706 , 2020 2020
Machine learning methods for keyword extraction and indexing NPK Sampada K S International Journal of Innovative Technology and Exploring Engineering 9 … , 2019 2019
Comparative Study on Voice Based Chat Bots KS Sampada, S Anusha, KN Vignesh International Journal of Computer Sciences and Engineering 6 (12), 172-175 , 2018 2018 Citations: 4
Location Aware Audio Tour using nRF KS Sampada International Journal of Computer Sciences and Engineering 6 (7), 1006-1009 , 2018 2018
A STUDY FOR DECRYPTING THE INFORMATION ENCRYPTED WITH VISUAL CRYPTOGRAPHY USING AUGMENTED REALITY DEVICES V Ravindraa, S Hegde, S K S JASC: JOURNAL OF APPLIED SCIENCE AND COMPUTATIONS 5 (6), 1-7 , 2018 2018
Performance Analysis of Multidimensional Indexing in Keyword Search KS Sampada, L Adithya, NP Kavya Proceedings of International Conference on Recent Advancement on Computer … , 2018 2018 Citations: 1
MOST CITED SCHOLAR PUBLICATIONS
Integrating cloud-WSN to analyze weather data and notify SaaS user alerts during weather disasters DS Arjun, A Bala, V Dwarakanath, KS Sampada, PR BB, H Pasupuleti 2015 IEEE international advance computing conference (IACC), 899-904 , 2015 2015 Citations: 23
Comparative Study on Voice Based Chat Bots KS Sampada, S Anusha, KN Vignesh International Journal of Computer Sciences and Engineering 6 (12), 172-175 , 2018 2018 Citations: 4
Intelligent Based System to Identify Malpractice in Assignment/Internals Using Document Comparison Technique P Kiran, AK KN, S Hemanth, KS Sampada 2023 7th International Conference on Computation System and Information … , 2023 2023 Citations: 1
Fruit grading to assist selection of fresh fruits V Vibha, KS Sampada 2021 international conference on circuits, controls and communications … , 2021 2021 Citations: 1
Performance Analysis of Multidimensional Indexing in Keyword Search KS Sampada, L Adithya, NP Kavya Proceedings of International Conference on Recent Advancement on Computer … , 2018 2018 Citations: 1
Segmented File Transfer L Adithya, KS Sampada International Journal of Computer Science Engineering and Technology 6 (12 … , 2016 2016 Citations: 1
Efficient Keyword Query Routing In Linked Data KS Sampada, NP Kavya 2016 International Conference on Computational Systems and Information … , 2016 2016 Citations: 1
A Survey on Different Approaches for Keyword Query Routing KS Sampada, D S, NP Kavya International Journal of Applied Engineering Research 10 (No.86), 338-342 , 2015 2015 Citations: 1
Enhancing Conceptual Understanding through Reflective Learning Journals with LLMs: A Case Study in Automata Theory KS Sampada, S Deepa, BN Yashasvi 2025 IEEE International Conference on Teaching, Assessment, and Learning for … , 2025 2025
MarketSafe AI: A Privacy-Preserving Framework for Digital Marketing G Patil, C Hurkadli, D MP, AM Danagoud, S KS 2025 2nd International Conference on Software, Systems and Information … , 2025 2025
SimCities Reimagined: A Digital Twin Technology Empowering Smart Urbanism KS Sampada, A Sakshitha, MS Srushti, SV Surabhi 2025 IEEE International Conference for Women in Innovation, Technology … , 2025 2025
Understanding Deepfake Detection: Advances, Limitations, and Security Concerns KS Sampada, N Manushree 2025 IEEE 4th International Conference for Advancement in Technology (ICONAT … , 2025 2025
Algorithmic Orchestration: Deep Learning Techniques in Music Generation PKM Sampada K S, Deepa S Power System Technology 49 (1), 803-813 , 2025 2025
Cervical Cancer Binary Classification DS KS 2024
CNN EYE-an outlook for the visually impaired P Kiran, KS Sampada, S Hemanth, N Anjan Kumar IET Conference Proceedings CP860 2023 (22), 79-83 , 2023 2023
Privacy Preserving Keyword Search Over Hash Encrypted Data in Distributed Environment KS Sampada, NP Kavya Information Systems for Intelligent Systems: Proceedings of ISBM 2022, 637-650 , 2023 2023
Comparative analysis of Consensus Algorithms in Blockchain Technologies P Ridha, V Bagaria, KS Sampada International Journal of Computer Applications 183 (16), 35-41 , 2021 2021
Automated Essay Evaluation using Chart Parser KS Sampada, S Anusha, KN Vignesh International Journal of Computer Applications 183 (7), 15-18 , 2021 2021
Privacy Preserving Keyword Search by Index Confidentiality KS Sampada, NP Kavya International Journal of Engineering Research in Computer Science and … , 2021 2021
Comparitive Analysis of Data Encoding Techniques P Niharika, B Varnika, KS Sampada International Journal of Computer Science Engineering and Technology (IJCSET … , 2021 2021