Hybrid model for classifying Indo Aryan and Tamil texts from historic manuscripts P. M. Dinesh, Dhanalakshmi Gopal, S. Vignesh, S. Sheeba Rani Scientific Reports, 2025 The ancient manuscripts, especially Indo-Aryan and Tamil texts have the complex linguistic structure in their manuscripts with historical differences. The present paper is a BERT-Li Scribe Hybrid Model of the historic Indo-Aryan and Tamil manuscript classification. The model combines the contextual embedding of BERT, which learns the semantic links in the text, and LiScribe, a specialized sequence model that learns features, and linguistic patterns of Indo-Aryan and Tamil scripts at a character level. The sample of 1,055 manuscripts of the Library of Congress and University of Hamburg is a perfect combination of Indo-Aryan and Tamil texts. The model that is offered provides the classification of two large groups, such as Indo-Aryan (Hindi, Bengali, Marathi, Gujarati) and Tamil, which guarantees the level of classification on a family level and specific scripts. Training is performed using categorical cross-entropy loss and Adam optimizer with learning rate scheduling with dropout layers used to avoid overfitting with noisy historical data. The model, which was coded in Python and deployed with the help of such libraries as TensorFlow and PyTorch, demonstrated a high overall classification accuracy of 97.61%, being able to distinguish between the Indo-Aryan and Tamil texts at the same time. The attention mechanism also increases the concentration on the important features by the model even in the degraded manuscripts. This mixed methodology proves the usefulness of the combination of deep learning and linguistic feature extraction to the correct classification of historical manuscripts.
Synthesis and characterization of aluminum-doped tin oxide nanoparticles for aerospace applications , S. Sharma, K. S. Yamuna, , S. Sheeba Rani, , B. Sangeetha, , S. Sivakumar, , B. Esther Bharathi, , L. Guru Prasad, and Digest Journal of Nanomaterials and Biostructures, 2025 Aluminium doped Tin Oxide (ATO) nanoparticles were synthesized using the sol-gel method and analysed for structural, morphological and optical properties. X-ray diffraction (XRD) confirmed the successful incorporation of Al3+ ions into the SnO2 lattice, retaining its tetragonal rutile structure. The shifts in diffraction peaks to higher 2θ values indicated lattice contraction due to the smaller ionic radius of Al3+ compared to Sn4+. Scanning electron microscopy (SEM) revealed a uniform particle distribution with reduced agglomeration. UV-Visible spectroscopy exhibited a hypsochromic shift in the absorption edge, attributed to bandgap widening caused by aluminium doping. Fourier Transform Infrared (FTIR) spectroscopy identified characteristic vibrational modes of functional groups, confirming chemical bonding. Photoluminescence (PL) studies showed enhanced emission intensities due to oxygen vacancies and electronic interactions between Al dopants and the SnO2 lattice, suggesting defect state creation. The tailored structural and optical properties enhance ATO’s potential in gas sensors utilised in aerospace engines.
IOT and Machine Learning-Powered Framework for Enhanced Alzheimer's Disease Care and Risk Management Sheeba Rani S, Gurusaktihvel V, Harish Iyappan K, Harish K K, Jayasuriya C 2025 3rd International Conference on Advancements in Electrical Electronics Communication Computing and Automation Icaeca 2025, 2025 Alzheimer's disease poses numerous challenges for both patients and caregivers, especially with regard to patient safety and well-being. In response, this research presents a state-of-the-art Internet of Things-based monitoring system specifically tailored for Alzheimer's patients. By using facial recognition and GPS tracking, the system provides real-time updates on the patient's location and health status. By incorporating person identification features for both known and unknown people, caregivers can be alerted when a patient meets someone they don't know, which increases safety measures. Additionally, the system updates a subset of web servers every hour with the precise location and health indicators of the patient, ensuring timely support and intervention. By combining cutting-edge IoT features with cutting-edge monitoring techniques, this system provides a thorough and useful approach to Alzheimer's patient care, promoting increased safety, peace of mind, and successful management of the condition.
Intelligent Energy Harvesting from Biodegradable Waste Using Wireless Sensor Networks and Machine Learning Techniques K Kannan, G S Jackulin Asha, G. Shobana, C Sharanya, D Beulah David, S Sheeba Rani 4th International Conference on Sentiment Analysis and Deep Learning Icsadl 2025 Proceedings, 2025 Lack of electricity and the management of waste continue to be challenges in developing countries such as India. This project aims to provide a sustainable solution by utilizing food waste to generate electricity. The goal of the project is to maximize the energy generation from the waste by optimizing the arrangements and electrode combinations. After the electricity has been generated, it will be stored in the batteries. The monitoring system, which is called the node microcontroller, will also send data to the Think speak platform for analysis. This project's design considers the various factors that affect the quality of life in developing countries. It includes safety, scalability, and cost-effectiveness. By waste, the system can provide electricity to those who need it most. It is also contributing to the reduction of greenhouse gas emissions.
Analysis and prediction of the usage of screen time to surmount COVID-19 using deep learning Digital Analytics Applications for Sustainable Training and Education, 2024
Advancing PV technology with ZnO/Ag+ nanocomposites V. Revathi, Savita Rani, M. Balamurugan, T. Manikumar, S. Sivakumar, et al. Digest Journal of Nanomaterials and Biostructures, 2024 This study focuses on the synthesis and characterization of hybrid zinc oxide/silver ion (ZnO/Ag+) nanocomposites tailored for PV cell applications. The nanocomposites are synthesized through a cost-effective method, leveraging the unique properties of both ZnO and Ag. Characterization techniques including X-ray diffraction (XRD), scanning electron microscopy (SEM) are employed to analyze the structural, morphological and optical properties of the nanocomposites. Moreover, the electrical properties and photoelectric performance of the PV solar cells are evaluated and compared with conventional PV devices. The results demonstrate the potential of ZnO/Ag+ nanocomposites in enhancing the overall performance of PV solar cells.
Reversible Vedic Direct Flag Divider in Key Generation of RSA Cryptography Journal of VLSI Circuits and Systems, 2024 This paper presents the design of a comparator with low power, low offset voltage, high resolution, and rapid speed.The designed comparator is built on 45 flip CMOS technology and runs 4.2 samples per second at nominal voltage.It is a custom-made comparator for a highly linear 4-bit Flash A/D Converter (ADC).The outlined design can operate on a nominal supply of 1.8 V.The comparator offset voltage was elevated because of this mismatch.To compensate for the offset voltage, we followed a decent approach to design the circuits.Therefore, the offset voltage is reduced to 250.The designed comparator has a unity gain bandwidth of 4.2 and a gain of 72 at nominal PVT, which gives us a considerable measure of authority.The dynamic power consumption of the comparator is 48.7.The layout of this designed comparator has been implemented, and the area of the comparator is 12.3 15.75 .The results of pre-and post-layout simulations in various process, voltage, and temperature corners are shown.
BoT-IoT based Denial of Service Detection with Deep Learning Lanitha. B, H. Azath, D. Beulah David, E. Chandra Blessie, A. Jayapradha, S. Sheeba Rani Proceedings of the 5th International Conference on I Smac Iot in Social Mobile Analytics and Cloud I Smac 2021, 2021
IoT enabled Framework for Wearable Medical Sensor Data C. Bazil Wilfred, A. Beno, Darwin Nesakumar A, E. Thenmozhi, S. Bagavathy, S. Sheeba Rani Proceedings of the 5th International Conference on I Smac Iot in Social Mobile Analytics and Cloud I Smac 2021, 2021
IoT Secure Framework for Wearable Sensor Data for E-health System Keerthika. N, Rajakumar S. Rai, Iyswariya. A, S. K. Indumathi, D. Pritima, S. Sheeba Rani Proceedings of the 5th International Conference on I Smac Iot in Social Mobile Analytics and Cloud I Smac 2021, 2021
Weather Monitoring System using Internet of Things R. Kavin, K. Lakshmi, S.Sheeba Rani, K. Rameshkumar 2020 6th International Conference on Advanced Computing and Communication Systems Icaccs 2020, 2020
Fuzzified control of deaerator system in power plant & comparative analysis with pid control scheme Journal of Advanced Research in Dynamical and Control Systems, 2019
Design and analysis of fractional PID controller for isolated bidirectional DC-DC converter International Journal of Engineering and Technology Uae, 2018
An adaptive analysis of standalone wind energy conversion system using trans Z source inverter Journal of Advanced Research in Dynamical and Control Systems, 2018
Design of programmable marine metal detector using UniFi controller Journal of Advanced Research in Dynamical and Control Systems, 2018
Effectiveness of pitch control scheme in load balance of WECS Journal of Advanced Research in Dynamical and Control Systems, 2018
Intelligent controller for efficiency improvement of maximum power point tracking in wind system Journal of Advanced Research in Dynamical and Control Systems, 2018
Performance study of piezo electric energy harvesting device Journal of Advanced Research in Dynamical and Control Systems, 2018
A two unit parallel system with waiting time of repairman and correlated failure and repair times International Journal of Agricultural and Statistical Sciences, 2014
Physicochemical characteristics of water in lower stream reaches of Periyar river in Kerala, India Ecology Environment and Conservation, 2013
Longitudinal distribution of benthic flora and fauna of Ithikkara river, Kerala Ecology Environment and Conservation, 2007
Longitudinal distribution of benthic flora and fauna of Ithikkara river, Kerala Ecology Environment and Conservation, 2006
Qualitative and quantitative study of zooplankton in Ithikkara River, Kerala Pollution Research, 2005
Qualitative and quantitative study of zooplankton in Ithikkara river, Kerala Ecology Environment and Conservation, 2004
Primary productivity of Paravur Canal - An analysis Ecology Environment and Conservation, 2003
RECENT SCHOLAR PUBLICATIONS
Advanced IoT-enabled embedded wearable system for continuous cardiovascular health monitoring using edge intelligence SS Rani, D Gopal, S Vignesh, PS Ramesh Biomedical Signal Processing and Control 111, 108362 , 2026 2026 Citations: 7
Synthesis, crystal structure, DNA studies, DFT calculation and luminescence properties of a new one dimensional copper (II) compound with 4, 4′-trimethylenedipyridine and 2, 2 … D Parthiban, S Baskaran, S Rani, MN Arumugham, R Kumar, S Kaviani Structural Chemistry 36 (3), 797-806 , 2025 2025 Citations: 4
Synthesis and characterization of aluminum-doped tin oxide nanoparticles for aerospace applications S Sharma, KS Yamuna, SS Rani, B Sangeetha, S Sivakumar, BE Bharathi, ... Digest Journal of Nanomaterials and Biostructures 20 (2), 585-594 , 2025 2025
Intelligent Energy Harvesting from Biodegradable Waste Using Wireless Sensor Networks and Machine Learning Techniques K Kannan, GSJ Asha, G Shobana, C Sharanya, DB David, SS Rani 2025 4th International Conference on Sentiment Analysis and Deep Learning … , 2025 2025
Automated laser machining and electro chemical honing of stellite alloy SS Rani, PV Kumar, E Mohan, R Praveena, JN Kamineni, GG Mahesh, ... Interactions 246 (1), 48 , 2025 2025 Citations: 1
Revolutionizing Employee Benefits Management Through Blockchain A Mohan, M Narayanan, S Rani, S Gakhreja, T Sirisha, ME Lourens Achieving Organizational Diversity, Equity, and Inclusion with AI, 337-352 , 2025 2025
Plate Tectonics Uncoiled: Deploying Advanced Algorithms for Earthquake Reading SS Rani, MM Yassen, S Sadhasivam, SK Jaganathan Exploring the Micro World of Robotics Through Insect Robots, 17-38 , 2025 2025
AN INSIGHT ON DESIGN OF DENDRIMERS AS POTENTIAL DRUG DELIVERY SYSTEM: A NOVEL APPROACH S Rani, B Anbarasan, P Neeraja, S Gopinath Studies in Science of Science| ISSN: 1003-2053 42 (12), 209-224 , 2024 2024
Predictive Correlation Frameworks for Optimized CPU Sensing and System Call Coordination SS Rani, P Vijaya, R Maheswari 2024 2nd International Conference on Recent Advances in Information … , 2024 2024
Analysis and prediction of the usage of screen time to surmount COVID-19 using deep learning A Mohan, R Maheswari, SS Rani Digital Analytics Applications for Sustainable Training and Education, 331-353 , 2024 2024 Citations: 1
Advancing PV technology with ZnO/Ag+ nanocomposites. V Revathi, SS Rani, M Balamurugan, T Manikumar, S Sivakumar, ... Digest Journal of Nanomaterials & Biostructures (DJNB) 19 (3) , 2024 2024 Citations: 4
A long-reach radio over free space optics (Ro-FSO) system using hybrid orthogonal frequency division multiplexing (OFDM)-multibeam concept with enhanced detection PG Kuppusamy, K Rajkumar, R Maheswar, S Sheeba Rani, IS Amiri Journal of Optical Communications 44 (s1), s77-s83 , 2024 2024 Citations: 8
A COMPARATIVE STUDY TO ASSESS THE NEEDS OF ELDERLY RESIDING IN GATED AND NON-GATED COMMUNITIES IN SELECTED AREAS OF DELHI S RANI CHETTINAD HEALTH CITY MEDICAL JOURNAL Учредители: Advanced Research … , 2024 2024
A STUDY TO ASSESS THE AWARENESS AND KNOWLEDGE RELATED TO BREAST CANCER AMONG FEMALES IN A SELECTED AREA OF DELHI S RANI CHETTINAD HEALTH CITY MEDICAL JOURNAL Учредители: Advanced Research … , 2024 2024
A Study to Evaluate The Effectiveness of Pelvic Floor Strengthening Exercises on Urinary Incontinence and Quality of life among women residing in selected area at Dharapuram N NIVETHA, CH MEKALA, JA SHARMILA, SH RANI International Journal of Advances in Nursing Management, 176-180 , 2024 2024
Chemical Physics Impact D Parthiban, S Baskaran, S Rani, MN Arumugham, R Kumar 2024 Citations: 1
Smart irrigation system based on the type of crop using iot U Kuttalingam, VN Alone, R Ramakrishnan, S Rani, R Maranan 2023 7th International Conference on I-SMAC (IoT in Social, Mobile … , 2023 2023 Citations: 1
Hybridized Dragonfly and Jaya algorithm for optimal sensor node location identification in mobile wireless sensor networks: AM Khedr et al. AM Khedr, SS Rani, M Saad The Journal of Supercomputing 79 (15), 16940-16962 , 2023 2023 Citations: 11
Improved buffalo optimized deep feed forward neural learning based multipath routing for energy efficient data aggregation in WSN SS Rani, KS Sankar Measurement: Sensors 27, 100662 , 2023 2023 Citations: 21
Renewable energy generation using a novel geothermal-solar hybrid power plant using RORC KC Ramya, SS Rani, S Sivaranjani, RV Kumar Materials and Technologies for a Green Environment, 1-31 , 2023 2023 Citations: 1
MOST CITED SCHOLAR PUBLICATIONS
An efficient Lightweight integrated Blockchain (ELIB) model for IoT security and privacy SN Mohanty, KC Ramya, SS Rani, D Gupta, K Shankar, ... Future Generation Computer Systems 102, 1027-1037 , 2020 2020 Citations: 336
An effect of big data technology with ant colony optimization based routing in vehicular ad hoc networks: Towards smart cities SK Lakshmanaprabu, K Shankar, SS Rani, E Abdulhay, N Arunkumar, ... Journal of cleaner production 217, 584-593 , 2019 2019 Citations: 128
Improved grey wolf optimization-based feature subset selection with fuzzy neural classifier for financial crisis prediction: S. Sankhwar et al. S Sankhwar, D Gupta, KC Ramya, S Sheeba Rani, K Shankar, ... Soft Computing 24 (1), 101-110 , 2020 2020 Citations: 114
An improved radial basis function neural network control strategy-based maximum power point tracking controller for wind power generation system R Sitharthan, T Parthasarathy, S Sheeba Rani, KC Ramya Transactions of the Institute of Measurement and Control 41 (11), 3158-3170 , 2019 2019 Citations: 94
RETRACTED ARTICLE: Optimal users based secure data transmission on the internet of healthcare things (IoHT) with lightweight block ciphers SS Rani, JA Alzubi, SK Lakshmanaprabu, D Gupta, R Manikandan Multimedia Tools and Applications 79 (47), 35405-35424 , 2020 2020 Citations: 76
Design and development of IoT based smart aquaculture system in a cloud environment S Balakrishnan, SS Rani, KC Ramya International Journal of Oceans and Oceanography 13 (1), 121-127 , 2019 2019 Citations: 61
Smart weather monitoring and real time alert system using IoT Y Rahut, R Afreen, D Kamini, SS Gnanamalar International Research Journal of Engineering and Technology 5 (10), 848-854 , 2018 2018 Citations: 60
Smart village: Solar based smart agriculture with IoT enabled for climatic change and fertilization of soil R Maheswari, H Azath, P Sharmila, SSR Gnanamalar 2019 IEEE 5th International Conference on Mechatronics System and Robots … , 2019 2019 Citations: 53
Analysis of IoT-enabled intelligent detection and prevention system for drunken and juvenile drive classification DRA Shirley, VK Sundari, TB Sheeba, SS Rani Automotive Embedded Systems: Key Technologies, Innovations, and Applications … , 2021 2021 Citations: 46
Internet of things and artificial intelligence-enabled secure autonomous vehicles for smart cities DA Janeera, SSR Gnanamalar, KC Ramya, AGA Kumar Automotive embedded systems: key technologies, innovations, and applications … , 2021 2021 Citations: 39
IoT based water level monitoring system for lake in a cloud environment SS Rani, S Balakrishnan, VK Sundari, KC Ramya International Journal of Lakes and Rivers 12 (1), 21-25 , 2019 2019 Citations: 39
RETRACTED: Optimal rough fuzzy clustering for user profile ontology based web page recommendation analysis SN Mohanty, J Rejina Parvin, K Vinoth Kumar, KC Ramya, ... Journal of Intelligent & Fuzzy Systems 37 (1), 205-216 , 2019 2019 Citations: 38
Kinematic joint descriptor and depth motion descriptor with convolutional neural networks for human action recognition SS Rani, GA Naidu, VU Shree Materials Today: Proceedings 37, 3164-3173 , 2021 2021 Citations: 37
Enrichment of material subtraction rate on Eglin steel using electrical discharge machining process through modification of electrical circuits SS Rani, VK Sundari, PSH Jose, S Sivaranjani, B Stalin, D Pritima Materials Today: Proceedings 33, 4428-4430 , 2020 2020 Citations: 33
IOT based fishery management system J Janet, S Balakrishnan, SS Rani International Journal of Oceans and Oceanography 13 (1), 147-152 , 2019 2019 Citations: 31
A novel approach based on modified cycle generative adversarial networks for image steganography PG Kuppusamy, KC Ramya, SS Rani, M Sivaram, V Dhasarathan Scalable Computing: Practice and Experience 21 (1), 63-72 , 2020 2020 Citations: 29
Response analysis on synthesized aluminium-scandium metal matrix composite using unconventional machining processes D Pritima, J Vairamuthu, PG Krishnan, S Marichamy, B Stalin, SS Rani Materials Today: Proceedings 33, 4431-4435 , 2020 2020 Citations: 28
Internet of medical things (iomt) enabled skin lesion detection and classification using optimal segmentation and restricted Boltzmann machines A Peter Soosai Anandaraj, V Gomathy, A Amali Angel Punitha, ... Cognitive internet of medical things for smart healthcare: services and … , 2020 2020 Citations: 24
An efficient and complete automatic system for detecting lung module S Balakrishnan, J Janet, K Sujatha, S Rani Indian Journal Of Science And Technology 11 (26) , 2018 2018 Citations: 22
Improved buffalo optimized deep feed forward neural learning based multipath routing for energy efficient data aggregation in WSN SS Rani, KS Sankar Measurement: Sensors 27, 100662 , 2023 2023 Citations: 21
