Quantum Machine Learning for Secure Key Generation in Wireless Communication: Addressing Limitations of Classical Cryptographic Protocols National Journal of Antennas and Propagation, 2025 The many forms of wireless communication used these days have created a greater demand for strong and flexible cryptographic methods to protect from new security risks that can happen as quantum computing advances.Diffie-Hellman and RSA approaches have been basic to cryptography, but work on these can now be weakened by attack methods such as Shor's and Grover's algorithms following quantum developments which undermines many post-quantum schemes.In our research, we develop a plan using Quantum Machine Learning (QML) to help ensure the security of future wireless networks.As a result, this design pairs quantum theory with reinforcement learning to create strong keys that cannot be accessed by attackers.Value is drawn from quantum entanglement and random measurements of qubits to create key materials needed for physically unclonable keys and at the same time, reinforcement agents support optimizing agreement policies based on variations detected in the channel.Simulations were run using Rayleigh fading and multi-SNR using Qiskit and TensorFlow.The system achieved entropy greater than 95%, agreed on important issues more than 98% successfully and brought latency down to just 0.13 seconds, outshining both classical and post-quantum cryptography in performance, flexibility and safety from attacks.Moreover, the presented encryption solution managed to resist hackers, even if the environment was noisy.As a quantum-AI combination, it is well-positioned to serve as a platform to safely communicate over wireless networks.It builds the basis for examining embedded QML hardware versions of IoT, vehicle networks and smart grid communications, since fast security and reliable performance without high delay are required.
Pattern Pulse: Revolutionizing Sleep Technology with Intelligent Cushions M. Moorthi, Dhivakaran M, Thanveer Ahamed D, M. Vanithalakshmi, C.H.C Alexander Proceedings of the 2025 3rd International Conference on Cyber Physical Systems Power Electronics and Electric Vehicles Icpeev 2025, 2025 Increasing prevalence and awareness of the consequences of sleep disorders on global physical and mental health require innovative treatment solutions. “Pattern Pulse” a state-of-the-art sleep device that comprises intelligent cushions along with machine learning algorithms to monitor, analyze and consistently improve sleeping patterns. Transforming sleep with state-of-the-art sensor tech, AI, and personalized comfort. The intelligent cushion uses high-precision sensors to monitor heart rate and breathing patterns, as well as motion within an area of the body. These data points are detected by real-time machine learning algorithms to understand sleep phases, interruptions, and quality. This solution is nearly invisible in daily life but provides accurate and actionable sleep monitoring data, unlike standard devices. Pattern Pulse is biofeedback-enhanced active sleep improvement. When the cushion also detects pain or restlessness, it can adjust its firmness or temperature automatically, providing uninterrupted sleep. It offers customized lifestyle modifications, sleeping position recommendations, and relaxation techniques according to their sleep profiles. In addition to personal use, the program could even assist physicians in diagnosing and addressing sleep problems. “Pattern Pulse” targets sleep apnea, insomnia, and circadian rhythm but also seeks to promote sleep health. Empowering the masses with this unprecedented combination of technology and comfort aims to revolutionize sleep behavior and improve health.
Empirical Analysis of Sigmoid Calibration on Gaussian Naïve Bayes Performance for Guitar Chords Classification K. Rafeeq Ahmed, Anu Malhan, P.S. Prasad, Swati Sharma, M. Vanitha Lakshmi, Nipun Sharma Proceedings International Conference on Next Generation Communication and Information Processing Incip 2025, 2025 Music has been an age-old phenomenon and is cherished and enjoyed across the global boundaries and borders. One important aspect of music has been learning it. With the advent of technology music learning has become accessible to almost everyone with virtually little or no infrastructural requirements at all. Mobile applications specific to a musical instrument learning are developed and are continuously evolving for providing a learning experience as real as in person face to face learning. Guitar learning is one of the most popular instruments playing among all the age groups. Fundamentals of guitar playing and learning often includes the knowledge about guitar strings and chords etc. Going one step deeper, the domains like music recognition and music recommendation systems are evolving at a very fast pace.In this paper, we have worked on Guitar chord classification problem which has been explored and experimented in more than one dimension for music recognition and recommendation models. The preprocessing of guitar chords audio into numerical data is computationally extensive. During the preprocessing stage the harmonics are generated in large numbers and the effect of higher order harmonics is explored in some previous works. In this paper we have evaluated the Brier score losses of the Gaussian Naïve bayes algorithm for guitar chord classification problem for two sets of harmonics count. Further, the sigmoid calibration is done on the classification problem and the experimental results are obtained and presented in the results and discussion section.
Optimizing the Tensile and Flexural Properties of Flax/Sisal with SiO2 Nanocomposites Using Response Surface Methodology M. Vanitha Lakshmi, G. Aloy Anuja Mary, I. Chandra, E. Sivanantham, N. Bharatha Devi Journal of Environmental Nanotechnology, 2024 This study aimed to examine the impact of fiber orientation on the tensile and flexural strengths of composites composed of Flax and sisal fibers, particularly at orientations of 0, 45, and 90 degrees. Furthermore, the research sought to determine the most effective parameters for the treatment process. The researchers utilized Response Surface Methodology (RSM) in conjunction with Central Composite Designs (CCD) to develop and analyze their studies. The main objective was to enhance crucial variables such as fiber alignment and the proportions of flax and sisal fibers. Quadratic models were employed in this study to forecast the tensile and bending characteristics of the materials. The best tensile strength (TS) was reached by meticulously experimenting with the fiber orientation and altering the amounts of flax and sisal fibers. The most effective parameter was a fiber orientation of 0 degrees, with a combination of flax and sisal fibers at a concentration of 60 percent each. Under these circumstances, the composite exhibited a significant improvement of 35% in tensile strength and 26% in bending strength when compared to the lowest values achieved with RSM optimization. The notable enhancements demonstrate that aligning the fibers can effectively increase the tensile and flexural strength (FS) and strengthen the bonding between natural fibers and polymer matrix structures.
Blockchain Technology for Enhanced Transparency, Efficiency, and Security in Supply Chain Management Santhosh Krishna B V, M. Vanitha Lakshmi, S Sathyanarayanan, Balaji L, Harshith C M, S. Kaliappan 3rd International Conference on Automation Computing and Renewable Systems Icacrs 2024 Proceedings, 2024 Though innovation in barcodes, GPS, and IoT sensors has enhanced the scope of modern supply chains to track assets to a larger extent, it raises a critical challenge for centralized systems in terms of data breaches, unauthorized access, and manipulation. Blockchain technology serves as an optimum decentralized and tamper-proof solution for further improvement of data integrity, security, and transparency. This paper discusses the integration of blockchain into supply chains its benefits and challenges and its potential to change global supply chain operations at its very core. In a nutshell, the system proposed outlines a blockchain-based framework using IoT, GPS, and smart contracts that guarantee traceability, security, and efficiency throughout the supply chain in real time. The results are showing high improvement in transparency, security, and operational efficiency, which will certainly lead to its usage cases in varied sectors.
Experimental Analysis of an Efficient Dental Carries Prediction System Based on Improved Convolutional Neural Network (iCNN) Principle Ranjith S, Vanitha Lakshmi M, Sujatha V, Suresh Govindasamy, Pallavi Giri, Khaled Al-Qawasmi Proceedings of the 2024 International Conference on Innovative Computing Intelligent Communication and Smart Electrical Systems Icses 2024, 2024 Dental caries is a kind of infectious illness that weakens the structure of teeth, leading to cavities. Because of the discomfort and expense of treatment, studies on dental caries have focused on early diagnosis, as it is one of the most common oral health problems. Due to the high costs and lengthy research times associated with oral healthcare, artificial intelligence has recently been employed to create models that can forecast the likelihood of dental caries. The agony and expensive price of therapy have prompted this investigation toward early detection. Models that may forecast the possibility of dental caries have recently been developed using artificial intelligence. This is in response to the high expenditures and significant time commitments connected with medical research in oral healthcare. In this study, a new method for efficiently identifying dental caries is presented using an Improved Convolutional Neural Network (iCNN). To test how well the suggested scheme works, it is cross-validated with the standard method called Support Vector Machine (SVM). This paper's suggested method, iCNN, demonstrates that dental practitioners may greatly benefit from deep learning to aid in the early diagnosis and treatment of dental caries.
Intraocular Pressure Monitoring Using IoT M. Moorthi, H.S. Dhanush, A. Ashok, Sathish Kumar. S, Vanitha Lakshmi. M, Chee Yong Lau, Alexander. C.H.C 2nd International Conference on Emerging Trends in Information Technology and Engineering Ic Etite 2024, 2024
The Secure Agents in Hybrid Cloud Cybersecurity Megha Pandeya, Vanithalakshmi M, Sukumar R 2023 International Conference on Power Energy Environment and Intelligent Control Peeic 2023, 2023
Revolutionizing Patient Monitoring In HealthcareWith IoTUsing WSN And Li-Fi Technology P Subhashini, BA Vijayalakshmi, M VanithaLakshmi, VJ Ramya Journal of Optics 55 (2), 1203-1211 , 2026 2026 Citations: 3
Mechanistic insights and emerging applications of human metapneumovirus (HMPV) treatment: From molecular design to translational immunity Q Abuhassan, A Aldulaimi, OS Waleed, S Ganesan, V Kavitha, ... Folia Microbiologica, 1-36 , 2026 2026
Introducing an ultrasensitive glutathione nanozymatic biosensor developed by a novel MOF-nanozyme with intrinsic peroxidase-like activity M Dehghanipour, MK Abosaoda, AK Bishoyi, MM Rekha, M Kundlas, ... Journal of Inorganic Biochemistry, 113310 , 2026 2026
Engineering photoluminescence in MXene quantum dots: interplay of surface states, quantum confinement, and defect chemistry for optoelectronic applications E Daoud, TM Saleh, R Roopashree, S Ray, BM Yaseen, V Kavitha, ... Chemical Papers, 1-19 , 2026 2026
Integrating histopathology and immune marker analysis for machine learning-based colorectal cancer prognostics MJ Saadh, TN Saeed, KH Alfarttoosi, S Ballal, PP Nayak, A Singh, ... Diagnostic Pathology , 2026 2026
Social Determinants of Anaemia among Pregnant Women in Rural Primary Health Settings: Evidence from a Gender-Sensitive Analysis V Kavitha, H Devi National Journal of Community Medicine 17 (02), 157-161 , 2026 2026
Advanced Luminescence Engineering of Inorganic Halide Perovskite Quantum Dots: Stability Enhancement, Lead‐Free Design, and Optoelectronic Applications FMA Altalbawy, EAM Saleh, MM Moharam, FF Seed, S Ballal, A Singh, ... Luminescence 41 (2), e70424 , 2026 2026
Evaluation of graphene like SiC2 as an electrode material for Ca-ion batteries: A DFT study A Ali, NS Sawaran Singh, S Ganesan, V Kavitha, L Maharana, R Sharma, ... Silicon, 1-10 , 2026 2026
Optimizing Bisphenol A Removal Using Fe 3 O 4 @SiO 2 –EN Doped Zn–Al–Layered Double Hydroxides Nanocomposites: A Central Composite Design Approach … M Rezaei, FMA Altalbawy, MK Abosaoda, V Kavitha, S Ray, M Yilmaz, ... Water and Environment Journal , 2026 2026
Lipid nanoparticle–based mRNA platforms for mucosal HIV vaccines: formulation advances, immune mechanisms, and translational pathways NS Sawaran Singh, IS Gataa, LH Saleh, S Ganesan, V Kavitha, ... Archives of Microbiology 208 (1), 68 , 2026 2026 Citations: 1
Adaptive Machine Learning Models for Congestion Prediction Across Urban and Suburban Road Networks D Subitha 2025 IEEE 9th International Conference on Information and Communication … , 2025 2025
Emerging threats of nanoparticles in marine and terrestrial environments: Toxicity mechanisms and risk management A Gacem, Z Khan, MA Alreshidi, KK Yadav, K Muzammil, N Almulla, ... Marine Pollution Bulletin 221, 118491 , 2025 2025 Citations: 3
Efficient Synthesis of O-Aryl Esters Using a Recyclable MWCNTs-MNPs/Met-NiCl 2 Nanocatalyst in Ionic Liquid R Mohammadi, SV Mayani, A Kumar, S Ballal, A Singh, V Kavitha, ... Journal of Inorganic and Organometallic Polymers and Materials 35 (11), 9029 … , 2025 2025 Citations: 3
RETRACTED: Learning model predictive controller for wheeled mobile robot with less time delay M Jalalnezhad, MK Sharma, S Mansouri, S Velmurugan, S Askar, ... Proceedings of the Institution of Mechanical Engineers, Part C: Journal of … , 2025 2025 Citations: 6
Efficient adsorption of bisphenol A using magnetically recyclable nanocomposites with Box Behnken optimization CY Hsu, EAM Saleh, NMM Alshik, M Asiri, S Singh, A Singh, V Kavitha, ... Scientific Reports 15 (1), 38085 , 2025 2025 Citations: 5
A comparative DFT study of the delivery performance of Au cluster decorated MoSe2 and WSe2 nanosheets for hydroxyurea and nitrosourea anticancer drugs FMA Altalbawy, MK Abosaoda, SV Mayani, A Kumar, G Padmapriya, ... Materials Chemistry and Physics 344, 131061 , 2025 2025 Citations: 1
Electrocatalytic CO 2 reduction: surface dynamic effects on conversion efficiency AK Kareem, AT Ahmed, EAM Saleh, NMM Alshik, HRAK Al-Hetty, A Singh, ... Ionics 31 (10), 10033-10052 , 2025 2025 Citations: 2
Revolutionizing cancer diagnostics: The promise of exosome-based biosensors MJ Saadh, TN Saeed, AF Al-Hussainy, AK Bishoyi, S Ballal, A Singh, ... Analytical Biochemistry 705, 115912 , 2025 2025 Citations: 2
Circular RNAs: driving forces behind chemoresistance and immune evasion in bladder cancer MJ Saadh, WS Hussein, AF Al-Hussainy, AK Bishoyi, MM Rekha, ... Naunyn-Schmiedeberg's Archives of Pharmacology 398 (9), 11161-11178 , 2025 2025 Citations: 1
VLC system using LEDs for transmitting underwater information BA Vijayalakshmi, S Lekashri, M Gomathi, R Ashwini, B Arunsundar, ... Journal of Optics 54 (4), 2187-2196 , 2025 2025 Citations: 12
MOST CITED SCHOLAR PUBLICATIONS
The role of ferrous ion in Fenton and photo-Fenton processes for the degradation of phenol V Kavitha, K Palanivelu Chemosphere 55 (9), 1235-1243 , 2004 2004 Citations: 795
Destruction of cresols by Fenton oxidation process V Kavitha, K Palanivelu Water research 39 (13), 3062-3072 , 2005 2005 Citations: 431
Degradation of nitrophenols by Fenton and photo-Fenton processes V Kavitha, K Palanivelu Journal of Photochemistry and Photobiology A: Chemistry 170 (1), 83-95 , 2005 2005 Citations: 296
Production of biodiesel from dairy waste scum using eggshell waste V Kavitha, V Geetha, PJ Jacqueline Process Safety and Environmental Protection 125, 279-287 , 2019 2019 Citations: 143
Degradation of 2-chlorophenol by Fenton and photo-Fenton processes—a comparative study V Kavitha, K Palanivelu Journal of Environmental science and health, Part A 38 (7), 1215-1231 , 2003 2003 Citations: 76
Prominent Rule Control-based Internet of Things: Poultry Farm Management System S Boopathi, SH Arigela, R Raman, C Indhumathi, V Kavitha, BC Bhatt 2022 International Conference on Power, Energy, Control and Transmission … , 2022 2022 Citations: 64
Augmented reality in education P Subhashini, R Siddiqua, A Keerthana, P Pavani Journal of Information Technology and Digital World 2 (04), 221-227 , 2020 2020 Citations: 54
E-waste management using hybrid optimization-enabled deep learning in IoT-cloud platform P Ramya, V Ramya Advances in Engineering Software 176, 103353 , 2023 2023 Citations: 52
Global prevalence and visible light mediated photodegradation of pharmaceuticals and personal care products (PPCPs)-a review V Kavitha Results in Engineering 14, 100469 , 2022 2022 Citations: 50
Prediction of LT4 replacement dose to achieve euthyroidism in subjects undergoing total thyroidectomy for benign thyroid disorders R Sukumar, A Agarwal, S Gupta, A Mishra, G Agarwal, AK Verma, ... World journal of surgery 34 (3), 527-531 , 2010 2010 Citations: 44
An efficient black widow optimization-based faster R-CNN for classification of COVID-19 from CT images S Vani, P Malathi, VJ Ramya, B Sriman, M Saravanan, R Srivel Multimedia Systems 30 (2), 108 , 2024 2024 Citations: 41
Design and implementation of visible light communication system in indoor environment K Sindhubala, B Vijayalakshmi ARPN Journal of Engineering and Applied sciences 10 (7), 2882-2886 , 2015 2015 Citations: 41
Balanced spider monkey optimization with Bi-LSTM for sustainable air quality prediction C Aarthi, VJ Ramya, P Falkowski-Gilski, PB Divakarachari Sustainability 15 (2), 1637 , 2023 2023 Citations: 39
Efficient heart disease prediction‐based on optimal feature selection using DFCSS and classification by improved Elman‐SFO J Wankhede, M Kumar, P Sambandam IET systems biology 14 (6), 380-390 , 2020 2020 Citations: 39
Simulation of VLC system under the influence of optical background noise using filtering technique K Sindhubala, B Vijayalakshmi Materials Today: Proceedings 4 (2), 4239-4250 , 2017 2017 Citations: 38
Design and performance analysis of visible light communication system through simulation K Sindhubala, B Vijayalakshmi 2015 international conference on computing and communications technologies … , 2015 2015 Citations: 37
Detection of melanoma skin cancer using digital camera images VJ Ramya, J Navarajan, R Prathipa, LA Kumar ARPN Journal of Engineering and Applied Sciences 10 (7), 3082-3085 , 2015 2015 Citations: 36
A comprehensive review on carbonylation reactions: catalysis by magnetic nanoparticle-supported transition metals I Ahmad, M Kedhim, Y Jadeja, G Sangwan, A Kashyap, S Shomurotova, ... Nanoscale Advances 7 (11), 3189-3209 , 2025 2025 Citations: 35
Degradation of phenol and trichlorophenol by heterogeneous photo-Fenton process using Granular Ferric Hydroxide ® : comparison with homogeneous system V Kavitha, K Palanivelu International journal of environmental science and technology 13 (3), 927-936 , 2016 2016 Citations: 35
Optimized deep learning-based e-waste management in IoT application via energy-aware routing P Ramya, V Ramya, M Babu Rao Cybernetics and Systems 55 (8), 2041-2070 , 2024 2024 Citations: 34
