Hybrid Machine Learning Framework for Accurate Used Car Price Prediction Using Regression and Ensemble Models Koushik Sundar, R Vijayakumar, I Eugene Berna, M Vimalan, Y Arockia Raj IEEE International Conference on Electronic Systems and Intelligent Computing Icesic 2026 Proceedings, 2026 The rapid expansion of the secondary automobile market has created a strong demand for intelligent pricing mechanisms capable of estimating fair and competitive resale values. Accurate valuation of pre- owned vehicles is a complex regression problem influenced by multiple factors such as vehicle age, mileage, fuel type, transmission, engine capacity, and seller category. This study proposes a hybrid machine learning framework to predict used car prices using supervised regression algorithms. The dataset, obtained from a large-scale automobile marketplace, undergoes systematic preprocessing including missing value treatment, categorical encoding, feature scaling, and correlation analysis. Three prominent regression models-Linear Regression, Random Forest Regressor, and KNearest Neighbor (KNN)-are implemented and comparatively evaluated. Model performance is assessed using Mean Absolute Error (MAE), Mean Squared Error (MSE), and Coefficient of Determination ($\mathbf{R}^{\mathbf{2}}$). Experimental results demonstrate that ensemble-based approaches, particularly Random Forest, achieve superior predictive accuracy by effectively capturing nonlinear relationships among features. The study highlights the computational trade-offs between model complexity and prediction performance while identifying key determinants influencing resale value. The proposed framework provides a scalable and data-driven solution for online used-car marketplaces, supporting transparent pricing and informed decision-making for buyers and sellers.
Cold Chain Reserve Dashboard - A Real Time Dashboard to Visually Represent the Quantity of the Produced and Stored Goods Bhuvaneswaran B, Priya Vijay, Vijayakumar R, Ujjain S Proceedings of the 2025 11th International Conference on Communication and Signal Processing Iccsp 2025, 2025 Due to insufficient logistical support and a shortage of refrigerated storage, 25 to 30 percent of India's produce—which ranks second in the world—goes to waste. Even if stored in cold storages, certain items have a very short expiration time before which it needs to be used or consumed. If not, it might lead to wastages. It is possible to maintain a constant temperature along a cold chain. Use it for production, storage, and distribution that require a controlled environment with a low temperature range to keep products fresh. Proposed solution is to provide a real time dashboard for cold chain operators or owners to visually present them with information about produced or required goods based on demand and location. Moreover, we can forecast the expected demand and the sales so that we can plan accordingly. Having the correct quantity of inventory on hand at any given moment can be extremely challenging in the absence of reliable demand forecasting procedures. Because of the high volume of perishable raw materials handled by a cold storage unit, precise daily and weekly demand forecasting is of the utmost importance for this type of facility.
Industry 4.0: Linking With Different Technologies – IoT, Big Data, AR and VR, and Blockchain K. Vijay, S. Gnanavel, K. R Sowmia, R. Vijayakumar, Mahmoud Elsisi Emerging Technologies and Security in Cloud Computing, 2024 As the present, fourth generation of production, “Industry 4.0” describes the state of the art. Under this general term, you'll find a number of manufacturing, data-sharing, and automation technologies. Industry 4.0 is driving significant transformation across many different business sectors by focusing on improving process, resource utilisation, and efficiency. The internet revolution has had a dramatic impact on several B2C industries, including media, retail, and finance. The industrial sector, which includes manufacturing, energy, agriculture, transportation, and others, accounts for over two-thirds of global GDP. These sectors will be profoundly impacted by digital transformation initiatives during the next decade. The World Economic Forum predicts that the digital revolution, often known as the fourth industrial revolution, will have far-reaching consequences for our personal lives, professional life, and social connections.
Advanced Traffic monitoring:Precise vehicle counting,speed estimation,color recognition and Type classification utilizing ROC curve analysis R Vishal Anand, R VijayaKumar, M Rajesh Proceedings of the 2024 10th International Conference on Communication and Signal Processing Iccsp 2024, 2024 The vehicle detection and counting project aims to develop a robust and efficient system to automatically detect and count vehicles in a given video stream using TensorFlow, a popular deep learning framework. The project utilizes the SSD with Mobilenet model,a state-of-the-art object detection architecture, to achieve real-time vehicle detection. The system processes each frame of the input video and identifies vehicles, providing information such as the number of vehicles detected, color of the vehicle, their movement direction, and estimated speed in lilometers per hour. The implementation involves loading a pre-trained frozen detection graph for the SSD with Mobilenet model, and then feeding each frame of the video to the model for detection. The detection results are visualized on the video frames with bounding boxes and corresponding class labels. The system also includes a region of interest (ROI) line to count the number of vehicles passing over it,thereby leeping track of the total number of vehicles passing through the scene.
Implications of Virtual Reality on Environmental Sustainability in Restaurants based on AI C Adithya Narayanan, E Bharath, R Vijayakumar Proceedings of the 2024 10th International Conference on Communication and Signal Processing Iccsp 2024, 2024 This talks about the various ways that augmented reality (AR) affects environmental sustainability in the restaurant business. When combined with artificial intelligence (AI), augmented reality has the power to completely change the restaurant industry by improving eco-friendly operations and changing many facets of their operations. This article examines how AR and AI might help restaurants become more environmentally sustainable. It focuses on important topics including menu design, waste management, customer interaction, and operational efficiency. Easy access to menus and simplicity are two important elements that make restaurant food ordering simpler. The eating experience for customers is entirely revolutionized by the HOLOGRAM menu. Current programs offer an application that eateries can utilize to include their menus into tablets with CONTROL & HOLOGRAM functionality, making it simpler for customers to swipe, swipe, and tap through menus. The objective of this project is to give the restaurants a tablet menu that suggests items using a novel recommendation algorithm. We store the database on a cloud-based server, which is safe & affordable.
Tracing Ip Addresses behind Vpn/Proxy Servers T Nithesh Aravind, A Mukundh, R Vijayakumar Proceedings of the 1st IEEE International Conference on Networking and Communications 2023 Icnwc 2023, 2023
Automated System for Early Detection of Skin Cancer Using CNN R Vijayakumar, K Ragavi, V Karthikeyan Proceedings of International Conference on Communication and Computational … , 2026 2026
Hybrid Machine Learning Framework for Accurate Used Car Price Prediction Using Regression and Ensemble Models K Sundar, R Vijayakumar, IE Berna, M Vimalan, YA Raj 2026 International Conference on Electronic Systems and Intelligent … , 2026 2026
MetaCampus: An AI-Powered Virtual Reality System for Interactive Campus Tours and Learning Environments PG Adhithya, DK Charan Raj, P Revathy, R Vijayakumar International Conference on Information and Communication Technology for … , 2025 2025
Cold Chain Reserve Dashboard-a Real Time Dashboard to Visually Represent the Quantity of the Produced and Stored Goods B Bhuvaneswaran, P Vijay, R Vijayakumar, S Ujjain 2025 11th International Conference on Communication and Signal Processing … , 2025 2025
Smart Learn—Global Learning Hub R Vijayakumar, R Dhuvaraka, M Madhumitha International Conference on Web Intelligence and Human-Machine Interaction … , 2025 2025 Citations: 1
Automated System for Early Detection of Skin Cancer Using CNN and CatBoost: A Hybrid Approach R Vijayakumar, K Ragavi, V Karthikeyan International Conference on Communication and Computational Technologies, 17-27 , 2025 2025
A Comprehensive Survey on AI-Based System for Detecting Package Damage and Food Packet Spillage P Revathy, A Rakshana, AV Tinu, R Vijayakumar International Conference on Smart Trends for Information Technology and … , 2025 2025
Document analysis using adaptive hybrid deep learning techniques K Sundar, M Bhavani, M Jaeyalakshmi, R Vijayakumar 2024 International Conference on Electronic Systems and Intelligent … , 2024 2024 Citations: 2
Investigating Youtube’s Educational Videos: Patterns, User Conduct and Suggestion Techniques K Sundar, E Berna, VDA Kumar 2024 International Conference on Electronic Systems and Intelligent … , 2024 2024
Abnormal behaviour detection in surveillance videos using post estimation method–A deep dive R Vijayakumar, K Vijay, C Hemanathan, MH Rajaa, B Logeswaran AIP Conference Proceedings 3075 (1), 020006 , 2024 2024
Advanced Traffic monitoring: Precise vehicle counting, speed estimation, color recognition and Type classification utilizing ROC curve analysis RV Anand, R VijayaKumar, M Rajesh 2024 10th International Conference on Communication and Signal Processing … , 2024 2024 Citations: 3
Implications of Virtual Reality on Environmental Sustainability in Restaurants based on AI CA Narayanan, E Bharath, R Vijayakumar 2024 10th International Conference on Communication and Signal Processing … , 2024 2024 Citations: 3
Industry 4.0: Linking With Different Technologies–IoT, Big Data, AR and VR, and Blockchain K Vijay, S Gnanavel, KR Sowmia, R Vijayakumar, M Elsisi Emerging Technologies and Security in Cloud Computing, 395-421 , 2024 2024 Citations: 7
Abnormal Behaviour Detection in Surveillance Videos R Vijayakumar, DS Shanthi, B Bhuvaneswaran, M Pragadeesh International Conference on Advances in Artificial Intelligence and Machine … , 2023 2023
Video surveillance for intruder detection and tracking R Vijayakumar, K Vijay, S Muruganandam, S Ravikumar, G Kirubasri Recent Trends in Computational Intelligence and Its Application, 409-414 , 2023 2023 Citations: 7
Tracing IP addresses behind Vpn/Proxy servers TN Aravind, A Mukundh, R Vijayakumar 2023 International Conference on Networking and Communications (ICNWC), 1-10 , 2023 2023 Citations: 8
Integrated Communal Attentive & Warning System via Cellular Systems R Vijavakumar, S Ravikumar, K Vijay, P Sivaranjani 2022 International Conference on Electronic Systems and Intelligent … , 2022 2022 Citations: 8
Forecasting methods and computational complexity for the sport result prediction K Vijay, K Jayashree, R Vijayakumar, B Rajendiran 2022 International Conference on Electronic Systems and Intelligent … , 2022 2022 Citations: 18
Detection of network attacks based on multiprocessing and trace back methods R Vijayakumar, K Vijay, P Sivaranjani, V Priya Smart Intelligent Computing and Communication Technology, 608-613 , 2021 2021 Citations: 10
An efficient data hiding approach on digital color image S Sreesubha, R Babu, R Vijayakumar, K Vijay Adv. Parallel Comput 37, 552-557 , 2020 2020 Citations: 9
MOST CITED SCHOLAR PUBLICATIONS
AI based student bot for academic information system using machine learning R Vijayakumar, B Bhuvaneshwari, S Adith, M Deepika International Journal of Scientific Research in Computer Science … , 2019 2019 Citations: 32
Prevention of multiple spoofing attacks with dynamic MAC address allocation for wireless networks R Vijayakumar, K Selvakumar, K Kulothungan, A Kannan 2014 International Conference on Communication and Signal Processing, 1635-1639 , 2014 2014 Citations: 25
Forecasting methods and computational complexity for the sport result prediction K Vijay, K Jayashree, R Vijayakumar, B Rajendiran 2022 International Conference on Electronic Systems and Intelligent … , 2022 2022 Citations: 18
Scratch detection in cars using mask region convolution neural networks K Vijay, R Vijayakumar, P Sivaranjani, R Logeshwari Adv. Parallel Comput 37, 575-581 , 2020 2020 Citations: 18
Efficient Data Migration Method in Distributed Systems Environment R Vijayakumar, VK Natheeswari N, Sivaranjani P IOS Press, 533-537 , 2020 2020 Citations: 14
A proteomics approach to identify the differential protein level in cardiac muscle of diabetic rat. D Karthik, R Vijayakumar, K Pazhanichamy, S Ravikumar Acta Biochimica Polonica 61 (2) , 2014 2014 Citations: 14
Detection of network attacks based on multiprocessing and trace back methods R Vijayakumar, K Vijay, P Sivaranjani, V Priya Smart Intelligent Computing and Communication Technology, 608-613 , 2021 2021 Citations: 10
Separable reversible data hiding in encrypted image using dual data embedding with histogram shifting S Anusha, N Elakkiya, R Vijayakumar 2020 Citations: 10
An efficient data hiding approach on digital color image S Sreesubha, R Babu, R Vijayakumar, K Vijay Adv. Parallel Comput 37, 552-557 , 2020 2020 Citations: 9
Tracing IP addresses behind Vpn/Proxy servers TN Aravind, A Mukundh, R Vijayakumar 2023 International Conference on Networking and Communications (ICNWC), 1-10 , 2023 2023 Citations: 8
Integrated Communal Attentive & Warning System via Cellular Systems R Vijavakumar, S Ravikumar, K Vijay, P Sivaranjani 2022 International Conference on Electronic Systems and Intelligent … , 2022 2022 Citations: 8
Industry 4.0: Linking With Different Technologies–IoT, Big Data, AR and VR, and Blockchain K Vijay, S Gnanavel, KR Sowmia, R Vijayakumar, M Elsisi Emerging Technologies and Security in Cloud Computing, 395-421 , 2024 2024 Citations: 7
Video surveillance for intruder detection and tracking R Vijayakumar, K Vijay, S Muruganandam, S Ravikumar, G Kirubasri Recent Trends in Computational Intelligence and Its Application, 409-414 , 2023 2023 Citations: 7
Integration of internet of things to reduce various losses of jatropha seed supply chain SP Srinivasan, J Anitha, R Vijayakumar IOP Conference Series: Materials Science and Engineering 211 (1), 012007 , 2017 2017 Citations: 7
Advanced Traffic monitoring: Precise vehicle counting, speed estimation, color recognition and Type classification utilizing ROC curve analysis RV Anand, R VijayaKumar, M Rajesh 2024 10th International Conference on Communication and Signal Processing … , 2024 2024 Citations: 3
Implications of Virtual Reality on Environmental Sustainability in Restaurants based on AI CA Narayanan, E Bharath, R Vijayakumar 2024 10th International Conference on Communication and Signal Processing … , 2024 2024 Citations: 3
Document analysis using adaptive hybrid deep learning techniques K Sundar, M Bhavani, M Jaeyalakshmi, R Vijayakumar 2024 International Conference on Electronic Systems and Intelligent … , 2024 2024 Citations: 2
Smart Learn—Global Learning Hub R Vijayakumar, R Dhuvaraka, M Madhumitha International Conference on Web Intelligence and Human-Machine Interaction … , 2025 2025 Citations: 1
Automated System for Early Detection of Skin Cancer Using CNN R Vijayakumar, K Ragavi, V Karthikeyan Proceedings of International Conference on Communication and Computational … , 2026 2026
Hybrid Machine Learning Framework for Accurate Used Car Price Prediction Using Regression and Ensemble Models K Sundar, R Vijayakumar, IE Berna, M Vimalan, YA Raj 2026 International Conference on Electronic Systems and Intelligent … , 2026 2026
