G KALAIARASI

Scopus Publications

Tap2Pay: Introducing Secure Transactions by Means of NFC- Based Tokenization
Kesavan Vijay, Jabez Joshua, Yogitha. R, G. Kalaiarasi, M. Selvi
Proceedings of 8th International Conference on Intelligent Sustainable Systems Iciss 2026, 2026
In developing nations, billions of individuals are locked out by the use of digital payment systems as the network connection is not reliable. Billions of dollars of digital money are locked out of developing nations because of unreliable network connections even though many smart phones have enabled NFC. The given paper suggests the Tap2Pay as an innovative NFC-based offline peer-to-peer payment architecture, which utilizes inherent smartphone NFC UIDs as wallet addresses with no reliance on external hardware. The system ensures that there is a proper credit transfer between the devices and ensures that there is no double spending and overspending in harsh conditions. Transactional experimental testing yields 96.4 percent accuracy, 95.44 F1-score and 3-5s end-to-end latency, which is competitive with real-time NFC systems. In contrast to the smart card solutions that need extra hardware or sync conditions UPI Lite, Tap2Pay can provide real financial inclusion with the help of the infrastructure of smartphones only. Keywords: NFC communication, offline payment, eliminating the possibility of making a transaction twice, peer-to-peer transactions, cryptographic signature, blockchain reconciliation, smartphone wallets.
Solar and IoT based Smart Parking Platform for EV Wireless Charging
M. Selvi, Shanmugapriya S, Selestinasarvini R, G Kalaiarasi, Yogitha R
Proceedings of 6th International Conference on Expert Clouds and Applications Icoeca 2026, 2026
As the automotive industry rapidly transitions from internal combustion engine vehicles to electric vehicles (EVs), the demand for efficient, sustainable, and intelligent charging infrastructure has become increasingly critical. This project presents a Solar and IoT-Enabled Smart Parking Platform integrated with Wireless Power Transfer (WPT) technology to provide a seamless and eco-friendly Wireless EV charging solution. The system employs inductive coupling to wirelessly charge EVs in designated parking slots, eliminating the need for conventional cables. An IoT-based RFID authentication system ensures secure access, enabling automated slot reservation, charging initiation, and fee deduction. A web-based dashboard allows real-time monitoring, reservation management, and access to historical session data, which is stored on a cloud server for analytics and remote accessibility. Solar photovoltaic panels serve as the primary power source, reducing grid dependency and promoting renewable energy utilization. An ESP32 microcontroller manages real-time communication between hardware components and the cloud, ensuring efficient operation. This integrated solution enhances user convenience, operational efficiency, and sustainability, representing a forward-looking model for intelligent and smart Wireless EV charging infrastructure.
Blockchain-Enabled Healthcare Management System with Smart Contract Integration for Secure Medical Records and Prescription Storage
Jaya Shanmugam, Kalai Kavin, Joshila Grace L.K, G. Kalaiarasi, M. Selvi, Yogitha R
Proceedings of 6th International Conference on Expert Clouds and Applications Icoeca 2026, 2026
This research presents a decentralized medical data management system integrating a Flask-based backend, an SQLite relational database, and an Ethereum-compatible blockchain to enhance the security, integrity, and transparency of healthcare data. The system adopts a modular architecture using Flask Blueprints to manage authentication, hospital data retrieval, OTP verification, and prescription handling. Smart contracts developed with the Truffle framework ensure immutable and auditable storage of critical medical proofs, particularly prescription records, while Web3 enables secure interaction between the backend and the blockchain. Future improvements include replacing SQLite with cloud-native databases such as PostgreSQL or MongoDB for scalability, implementing advanced encryption with dynamic key rotation, and adopting decentralized identity (DID) for patient-centric access control. Additionally, integrating real-time analytics, AI-based anomaly detection, automated compliance auditing, and Layer-2 blockchain solutions can further enhance system performance, security, and efficiency.
FarmScope Agricultural Crop Recommendation With Chatbot using ML and DL
V Janakanandini, B Janani, G Kalaiarasi, M Selvi, R Yogitha, L K Joshila Grace
2026 1st International Electronics Packaging Design and Manufacturing Conference Bridging Skills and Innovation for India S Industry Epdmc 2026, 2026
One major part of the Indian economy is agriculture that suffers losses in crop yields due to inappropriate crops-soil interactions. The study has proposed the idea of precision agriculture based on the soil properties, crop history and yield data of crops to give out more reasonable suggestions. It also provides end to end crop control of the decision on crop, water, fertilizer and pest control. Machine learning (RF, kNN) enhances accuracy and training of changing soil. Agribot is an intelligent chatbot based upon neural networks and Natural Language Toolkit (NLTK) that can answer the questions asked by farmers and provide them with real-time advice based on data. The study presents predictive farming with machine learning (RF, kNN) and Agribot chatbot powered by a neural network to integrate soil, crop history and dynamic instructions such that the Indian commercial growers may maximize crop selection, irrigation, fertilizer, and pest management.
Leveraging Transfer Learning with MobileNetV2 for Robust Animal Detection in Challenging Environments
K. K. Thyagharajan, P. Saravanan, G. Kalaiarasi, S. D. Lalitha, T. Nivedha, T. Vignesh
Advances in Science Technology and Innovation, 2026
Travel sentinel: Empowering safe journeys with real-time accident updates, weather alerts
Cheedella Jaswanth Pavan Kumar, Chilla Jaya Sankar Naidu, G. Kalaiarasi, M. Selvi, R. Yogitha
Aip Conference Proceedings, 2025
Defending the digital domain: BERT-Powered deep learning for aggression detection in text stream
Gorantla Chandra Sekhar, Angalakurthi Brahmaiah, G. Kalaiarasi, M. Selvi, R. Yogitha, K. Dhanalakshmi
Aip Conference Proceedings, 2025
Machine Learning and Secure Image Transmission for Disease Forecasting
Angotu Saida, Mallareddy Adudhodla, Niladri Maiti, Krishna Murthy Inumula, G. Kalaiarasi, Lakshmi Chandrakanth Kasireddy
Advanced Secure Transmission of Telemedicine Based Bio Medical Images, 2025
The transformative potential of machine learning (ML) in disease forecasting is emphasizes how crucial secure transmission techniques are to maintaining the integrity of patient data. With the growing reliance of healthcare on sophisticated data analytics, machine learning (ML) models have become indispensable instruments for forecasting disease outbreaks and enhancing patient results. ML algorithms are able to detect patterns and trends that help with early detection and intervention in a variety of health conditions by examining large datasets that include clinical data, medical images, and environmental factors. But considering the increasing frequency of cyberattacks and data breaches in the healthcare industry, it is critical that this sensitive data be transmitted securely.
Enhancing waste classification accuracy with Channel and Spatial Attention-Based Multiblock Convolutional Network
Jithina Jose, Suja Cherukullapurath Mana, Keerthi Samhitha Babu, G. Kalaiarasi, M. Selvi
Environmental Monitoring and Assessment, 2025
A Survey on Fake News Detection Using Multivariate Feature Selection and Hybrid Deep Learning Approach
Aditya Kumar Dongre, G. Kalaiarasi
2025 1st International Conference on Aiml Applications for Engineering and Technology Icaet 2025, 2025
Fake news detection has emerged as a critical challenge in the digital age, where misinformation spreads rapidly across social media and news platforms. This survey explores the efficacy of using multivariate feature selection combined with hybrid deep learning approaches to enhance the accuracy and robustness of fake news detection systems. The paper reviews various feature selection techniques, including chi-square, information gain, and correlation-based methods, that help in identifying the most relevant features for detecting fake news. These techniques are crucial in reducing dimensionality, improving processing time, and enhancing the performance of deep learning models. Furthermore, the study examines hybrid deep learning frameworks, which integrate multiple architectures such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformers to capture both linguistic and contextual information from news data. This survey provides a comprehensive analysis of recent advancements, highlighting key research contributions, datasets, and evaluation metrics used in fake news detection. The integration of multivariate feature selection with hybrid deep learning models offers a promising approach to addressing the complexities of fake news identification. Finally, the paper outlines the challenges and future research directions in improving model generalization, handling adversarial content, and adapting to evolving patterns of misinformation.
Classification of Malarial Parasite Using EfficientNetV2S Optimized with Humboldt Squid Optimization Algorithm
Mamadi Kumar Vidhyalakshmi, Sekar Thaiyalnayaki, A.V. Allin Geo, G. Michael, G. Kalaiarasi
IETE Journal of Research, 2025
Leaf Disease Analysis and Crop Suggestion Based on Soil Classification
S. Thaiyalnayaki, Rakoth Kandan Sambandam, Divya Vetriveeran, J. Jenefa, G. Kalaiarasi
Smart Innovation Systems and Technologies, 2025
An Interoperable Ecosystem for Connecting Smart Devices
Ragesh M, Karthika R, M. Selvi, G. Kalaiarasi, Yogitha R
Proceedings of the 7th International Conference on Intelligent Sustainable Systems Iciss 2025, 2025
A Novel Decision Tree and LSTM Powered Intelligent Agent System for Early Detection of Vegetable Plant Diseases
Bolisetty Sreelatha, Rajasree Rajamohanan, G. Kalaiarasi, Rvs Praveen, Bhagya Prasad Bugge, Tegil J John
Proceedings of the 6th International Conference on Electronics and Sustainable Communication Systems Icesc 2025, 2025
Automatic Plant Watering System based on the Environmental Changes
16th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2025, 2025
Comparative Analysis of Deep Learning and Machine Learning Algorithm for Concrete Crack Detection
R. Padmavathy, G. Kalaiarasi, R. Venkatasubramanian, M. Devi, L. K. Joshila Grace
Aip Conference Proceedings, 2024
Study of Support Vector Machine for Classification of Brain Tumours
R. Padmavathy, G. Kalaiarasi, G. Durgadevi, R. Yogitha, G. M. Karpura Dheepan
Aip Conference Proceedings, 2024
Energy and Security Aware Hybrid Optimal Cluster-based Routing in Wireless Sensor Network
M. Selvi, G. Kalaiarasi, Suja Cherukullapurath Mana, R. Yogitha, R. Padmavathy
Wireless Personal Communications, 2024
Efficient segmentation and 1D-CNN model optimization for recognizing human actions with mobile sensors
K. K. Thyagharajan, G. Kalaiarasi, P. Saravanan, L. Balaji, T. Vignesh
Aip Conference Proceedings, 2024
IoT based Movable Smart Dustbin using Blynk IoT Application
B Pavithra, G. Kalaiarasi, M. Selvi, R. Yogitha
2024 11th International Conference on Reliability Infocom Technologies and Optimization Trends and Future Directions Icrito 2024, 2024
Tracking A Student Using Face Recognition
V. Harsith Tejas, S. Harshitha, Yogitha R, G. Kalaiarasi, M. Selvi
2024 International Conference on Intelligent Systems for Cybersecurity Iscs 2024, 2024
A Novel Way To Predict Commercial Stock Price Using Soft Computing Paradigm
N. Srinivasan, G. Kalaiarasi, T. Judgi, A. Pravin, T. Prem Jacob
2024 5th IEEE Global Conference for Advancement in Technology Gcat 2024, 2024
Revolutionizing neural network efficiency: introducing FPAC for filter pruning via attention consistency
Suja Cherukullapurath Mana, Sudha Rajesh, Kalaiarasi Governor, Hemalatha Chandrasekaran, Kanipriya Murugesan
Neural Computing and Applications, 2024
Designing an Ml-Powered Assistive Technology for People With Cognitive and Mental Disabilities
M.S. Roobini, B. Bhavani Asish, Sujeeth Challa, G Kalaiarasi, E. Srividhya
Proceedings of 9th International Conference on Science Technology Engineering and Mathematics the Role of Emerging Technologies in Digital Transformation Iconstem 2024, 2024
Personalized Travel Itinerary Generator System
Nithyasri Prabha. S, Nivash. V, Yogitha. R, G. Kalaiarasi, M. Selvi
2024 International Conference on Intelligent Systems for Cybersecurity Iscs 2024, 2024
Leveraging IoT & CNN-CBAM for Early Blight Detection and Optimal Fungicide Application in Potato and Tomato Crops
Mathur Nadarajan Kathiravan, Kalaiarasi G, Garaga Srilakshmi, Guntu Nooka Raju, D. Suganthi, Nisarg Gandhewar
International Conference on Distributed Systems Computer Networks and Cybersecurity Icdscnc 2024, 2024
Virtual Trial Room for Online Shopping
Am Kavin, T Jithesh, G. Kalaiarasi, M. Selvi, R. Yogitha, T.N. Suresh Babu
Proceedings of the 2024 10th International Conference on Communication and Signal Processing Iccsp 2024, 2024
Classification System on Diabetes Prediction using Deep Learning Approach
S. Thaiyalnayaki, G. Kalaiarasi, M. Nithya, R. Padmavathy
Aip Conference Proceedings, 2023
Near duplicate detection of images with area and proposed pixel-based feature extraction
Kalaiarasi Governor, Padmavathy Ramanujam, Suja Cherukullapurath Mana, Geetha Perumal
Concurrency and Computation Practice and Experience, 2023
Enabling Gesture-based Application Interaction on Head Mounted VR Display
K Rishi Kalis, V Rohith, G Kalaiarasi
Proceedings of the 7th International Conference on Intelligent Computing and Control Systems Iciccs 2023, 2023
Transforming Agriculture with AI: Automated Crop Insect Identification Using InceptionV3 Transfer Learning
Thyagharajan. K. K, Kalaiarasi G, Nirmala G, Saravanan P, Vignesh T, Makashkumar V
2023 1st International Conference on Advances in Electrical Electronics and Computational Intelligence Icaeeci 2023, 2023
Ship Detection Using High Resolution Remote Sensing Image
L. K. Joshila Grace, K. Rajashekar Reddy, K. Pavan Kalyan, P. Asha, G. Kalaiarasi
Aip Conference Proceedings, 2022
Analysis on Online Teaching Learning Methodology and Its Impact on Academics Amidst Pandemic
R. Yogitha, R. Aishwarya, G. Kalaiarasi, L. Lakshmanan
Lecture Notes in Networks and Systems, 2022
Application of Machine Learning in Healthcare: An Analysis
Suja Cherukullapurath Mana, G. Kalaiarasi, Yogitha R, L Suji Helen, R. Senthamil Selvi
3rd International Conference on Electronics and Sustainable Communication Systems Icesc 2022 Proceedings, 2022
Detection of Heart Disease Using Data Mining
G. Kalaiarasi, M. Maheswari, M. Selvi, R. Yogitha, Prathima Devadas
Smart Innovation Systems and Technologies, 2022
Classifying Indian medicinal leaf species using LCFN-BRNN model
I. K. Raji, K. Thyagharajan, T. Vignesh, G. Kalaiarasi
Ksii Transactions on Internet and Information Systems, 2021
Price Prediction of Bitcoin
Grace. LK. Joshila, Asha. P, D. Usha Nandini, G. Kalaiarasi
Proceedings of the 5th International Conference on Trends in Electronics and Informatics Icoei 2021, 2021
A Review on Near-Duplicate Detection of Images using Computer Vision Techniques
K. K. Thyagharajan, G. Kalaiarasi
Archives of Computational Methods in Engineering, 2021
Identifying and Detection of Advertisement Click Fraud Based on Machine Learning
Jaladi Guna Vardhan Amrutha Raj, Jagannath Patro Allupati, G. Kalaiarasi
Lecture Notes in Electrical Engineering, 2021
Implementation and Performance Analysis of Various Models of PCNN for Medical Image Segmentation
T. Vignesh, K. K. Thyagharajan, L. Balaji, G. Kalaiarasi
Lecture Notes in Networks and Systems, 2021
Underwater image and under exposed image enhancement using cnn
Journal of Green Engineering, 2020
Intensity based Image Registration on Brain MRI Images
Prathima Devadas, G. Kalaiarasi, M. Selvi
Proceedings of the 2nd International Conference on Inventive Research in Computing Applications Icirca 2020, 2020
Clustering of near duplicate images using bundled features
G. Kalaiarasi, K. K. Thyagharajan
Cluster Computing, 2019
Pulse Coupled Neural Network based Near- Duplicate Detection of images (PCNN - NDD)
K. K. THYAGHARAJAN, G. KALAIARASI
Advances in Electrical and Computer Engineering, 2018
Contextual image search with keyword and image input
M. Shiyamala, G. Kalaiarasi
2014 International Conference on Information Communication and Embedded Systems Icices 2014, 2015
Clustering of near duplicate images in the web search using affine transform and hybrid hierarchical K-means (HHK) algorithm
G. Kalaiarasi, K.K. Thyagharajan
Wit Transactions on Information and Communication Technologies, 2014
Visual content based clustering of near duplicate web search images
G. Kalaiarasi, K.K. Thyagharajan
Proceedings of the 2013 International Conference on Green Computing Communication and Conservation of Energy Icgce 2013, 2013

RECENT SCHOLAR PUBLICATIONS

Blockchain-Enabled Healthcare Management System with Smart Contract Integration for Secure Medical Records and Prescription Storage
J Shanmugam, K Kavin, JG LK, G Kalaiarasi, M Selvi
2026 6th International Conference on Expert Clouds and Applications (ICOECA … , 2026
2026
Solar and IoT based Smart Parking Platform for EV Wireless Charging
M Selvi, S Shanmugapriya, R Selestinasarvini, G Kalaiarasi, R Yogitha
2026 6th International Conference on Expert Clouds and Applications (ICOECA … , 2026
2026
Tap2Pay: Introducing Secure Transactions by Means of NFC-Based Tokenization
K Vijay, J Joshua, G Kalaiarasi, M Selvi
2026 8th International Conference on Intelligent Sustainable Systems (ICISS … , 2026
2026
FarmScope Agricultural Crop Recommendation With Chatbot using ML and DL
V Janakanandini, B Janani, G Kalaiarasi, M Selvi, R Yogitha, LKJ Grace
2026 1st International Electronics & Packaging Technologies Conference … , 2026
2026
Classification of Malarial Parasite Using EfficientNetV2S Optimized with Humboldt Squid Optimization Algorithm
MK Vidhyalakshmi, S Thaiyalnayaki, AV Allin Geo, G Michael, ...
IETE Journal of Research, 1-11 , 2025
2025
Travel sentinel: Empowering safe journeys with real-time accident updates, weather alerts
CJP Kumar, CJS Naidu, G Kalaiarasi, M Selvi, R Yogitha
AIP Conference Proceedings 3257 (1), 020131 , 2025
2025
Defending the digital domain: BERT-Powered deep learning for aggression detection in text stream
GC Sekhar, A Brahmaiah, G Kalaiarasi, M Selvi, R Yogitha, ...
AIP Conference Proceedings 3257 (1), 020138 , 2025
2025
Enhancing waste classification accuracy with channel and spatial attention-based multiblock convolutional network
J Jose, SC Mana, KS Babu, G Kalaiarasi, M Selvi
Environmental Monitoring and Assessment 197 (2), 198 , 2025
2025
Citations: 4
A Survey on Fake News Detection Using Multivariate Feature Selection and Hybrid Deep Learning Approach
AK Dongre, G Kalaiarasi
2025 1st International Conference on AIML-Applications for Engineering … , 2025
2025
Citations: 3
Advancing animal recognition through transfer learning: A novel approach to robust detection and classification
KK Thyagharajan, G Kalaiarasi, SD Lalitha, T Vignesh, T Nivedha, ...
Advances in Electrical and Computer Technologies, 509-514 , 2025
2025
Study of support vector machine for classification of brain tumours
R Padmavathy, G Kalaiarasi, G Durgadevi, R Yogitha, GMK Dheepan
AIP Conference Proceedings 3022 (1), 020008 , 2024
2024
Citations: 1
Comparative analysis of deep learning and machine learning algorithm for concrete crack detection
R Padmavathy, G Kalaiarasi, R Venkatasubramanian, M Devi, LKJ Grace
AIP Conference Proceedings 3022 (1), 020020 , 2024
2024
Citations: 1
Energy and security aware hybrid optimal cluster-based routing in wireless sensor network
M Selvi, G Kalaiarasi, SC Mana, R Yogitha, R Padmavathy
Wireless Personal Communications 137 (3), 1395-1422 , 2024
2024
Citations: 20
Leaf Disease Analysis and Crop Suggestion Based on Soil Classification
S Thaiyalnayaki, RK Sambandam, D Vetriveeran, J Jenefa, G Kalaiarasi
International Conference on Intelligent Manufacturing and Energy … , 2024
2024
Efficient segmentation and 1D-CNN model optimization for recognizing human actions with mobile sensors
KK Thyagharajan, G Kalaiarasi, P Saravanan, L Balaji, T Vignesh
AIP Conference Proceedings 3122 (1), 090002 , 2024
2024
Citations: 1
Personalized travel itinerary generator system
G Kalaiarasi, M Selvi
2024 International Conference on Intelligent Systems for Cybersecurity (ISCS … , 2024
2024
Citations: 9
Tracking A Student Using Face Recognition
VH Tejas, S Harshitha, G Kalaiarasi, M Selvi
2024 International Conference on Intelligent Systems for Cybersecurity (ISCS … , 2024
2024
Citations: 2
Virtual Trial Room for Online Shopping
A Kavin, T Jithesh, G Kalaiarasi, M Selvi, R Yogitha, TNS Babu
2024 10th International Conference on Communication and Signal Processing … , 2024
2024
Citations: 1
IoT based Movable Smart Dustbin using Blynk IoT Application
B Pavithra, G Kalaiarasi, M Selvi, R Yogitha
2024 11th International Conference on Reliability, Infocom Technologies and … , 2024
2024
Citations: 2
Leveraging Transfer Learning with MobileNetV2 for Robust Animal Detection in Challenging Environments
KK Thyagharajan, P Saravanan, G Kalaiarasi, SD Lalitha, T Nivedha, ...
International Conference on Intelligent Computing, Advanced Communication … , 2023
2023

MOST CITED SCHOLAR PUBLICATIONS

A Review on Near-Duplicate Detection of Images using Computer Vision Techniques: KK Thyagharajan, G. Kalaiarasi
KK Thyagharajan, G Kalaiarasi
Archives of Computational Methods in Engineering 28 (3), 897-916 , 2021
2021
Citations: 93
Pulse coupled neural network based near-duplicate detection of images (PCNN–NDD)
KK Thyagharajan, G Kalaiarasi
Advances in Electrical and Computer Engineering 18 (3), 87-96 , 2018
2018
Citations: 33
Application of machine learning in healthcare: an analysis
SC Mana, G Kalaiarasi, LS Helen, RS Selvi
2022 3rd International Conference on Electronics and Sustainable … , 2022
2022
Citations: 21
Energy and security aware hybrid optimal cluster-based routing in wireless sensor network
M Selvi, G Kalaiarasi, SC Mana, R Yogitha, R Padmavathy
Wireless Personal Communications 137 (3), 1395-1422 , 2024
2024
Citations: 20
Clustering of near duplicate images using bundled features
G Kalaiarasi, KK Thyagharajan
Cluster Computing 22 (Suppl 5), 11997-12007 , 2019
2019
Citations: 18
Classifying Indian Medicinal Leaf Species Using LCFN-BRNN Model.
T KK
KSII Transactions on Internet & Information Systems 15 (10) , 2021
2021
Citations: 15
Personalized travel itinerary generator system
G Kalaiarasi, M Selvi
2024 International Conference on Intelligent Systems for Cybersecurity (ISCS … , 2024
2024
Citations: 9
Price prediction of bitcoin
GLK Joshila, DU Nandini, G Kalaiarasi
2021 5th International Conference on Trends in Electronics and Informatics … , 2021
2021
Citations: 9
Intensity based image registration on brain MRI images
P Devadas, G Kalaiarasi, M Selvi
2020 Second International Conference on Inventive Research in Computing … , 2020
2020
Citations: 8
Visual content based clustering of near duplicate web search images
G Kalaiarasi, KK Thyagharajan
2013 International conference on green computing, communication and … , 2013
2013
Citations: 8
Classification system on diabetes prediction using deep learning approach
S Thaiyalnayaki, G Kalaiarasi, M Nithya, R Padmavathy
AIP Conference Proceedings 2523 (1), 020017 , 2023
2023
Citations: 7
Contextual image search with keyword and image input
M Shiyamala, G Kalaiarasi
International Conference on Information Communication and Embedded Systems … , 2014
2014
Citations: 5
Enhancing waste classification accuracy with channel and spatial attention-based multiblock convolutional network
J Jose, SC Mana, KS Babu, G Kalaiarasi, M Selvi
Environmental Monitoring and Assessment 197 (2), 198 , 2025
2025
Citations: 4
Near duplicate detection of images with area and proposed pixel‐based feature extraction
K Governor, P Ramanujam, SC Mana, G Perumal
Concurrency and Computation: Practice and Experience 35 (2), e7477 , 2023
2023
Citations: 4
Retrieval of near duplicate images using K means and PSO clustering
G Kalaiarasi, KK Thyagharajan
Indian Journal of Science and Technology 9 (1), 1-9 , 2016
2016
Citations: 4
Classification of near duplicate images by texture feature extraction and fuzzy SVM
G Kalaiarasi, KK Thyagharajan
Sixth International Joint Conference on Advances in Engineering and … , 2015
2015
Citations: 4
A Survey on Fake News Detection Using Multivariate Feature Selection and Hybrid Deep Learning Approach
AK Dongre, G Kalaiarasi
2025 1st International Conference on AIML-Applications for Engineering … , 2025
2025
Citations: 3
Transforming agriculture with ai: Automated crop insect identification using inceptionv3 transfer learning
G Kalaiarasi, G Nirmala, P Saravanan, T Vignesh, V Makashkumar
2023 First International Conference on Advances in Electrical, Electronics … , 2023
2023
Citations: 3
Clustering of near duplicate images in the web search using affine transform and hybrid hierarchical k-means (HHK) algorithm
G Kalaiarasi, KK Thyagharajan
International Conference on Communication Technology and Application … , 2014
2014
Citations: 3
Tracking A Student Using Face Recognition
VH Tejas, S Harshitha, G Kalaiarasi, M Selvi
2024 International Conference on Intelligent Systems for Cybersecurity (ISCS … , 2024
2024
Citations: 2

G KALAIARASI

RESEARCH, TEACHING, or OTHER INTERESTS

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS