Professor, Dept. of Mathematics,
VELS Institute of Science, Technology and
Advanced Studies, Pallavaram, Chennai.
Mobile :99944 89925
Email: ragaji94@, g.
EDUCATION [1983 – 1986] Avinashilingam Home Science College Coimbatore
B.Sc., Maths, Physics, & Chemistry
[ 1992 ] Annamalai University Chidambaram
M.Sc., Mathematics
[ 2004 ] Alagappa University Karaikudi
M.Phil., Mathematics
24th March 2011 Ph.D in Mathematics
Title: MATHEMATICAL MODELING
IN BIOLOGY USING FRACTALS
Sri Chandrasekarendra Saraswathi
Viswa Mahavidhyalaya,
Deemed University,
Kanchipuram
Creation of Bacteria in Tongue Diagnosis Based on Fractal Methods S. Pavithra, G. Jayalalitha Baghdad Science Journal, 2025 Bacteria play a vital role in helping with digestion and protecting against harmful infections. However, the Gram-negative bacteria in Tongue will have some disadvantages in the human body. These can be diagnosed by employing the fractal concept. Bacteria's irregular shape and Complex nature can be quantified using fractal dimensions that exhibit self-similarity at different scales. The fractal measurement procedure deliberates the dissimilarity and surface complexity of the tongue-inclusive spot on the tongue. An image of the tongue is analyzed by the HarFa Fractal Method. The Sobel improved Box counting Method is employed to enumerate the outgrowth of Bacteria in Tongue. Lacunarity is to examine the interlude present in the tongue. The escalating lacunarity value implies an extreme degree of heterogeneity. It undergoes a professional design of proportions that contain opinions about a dimension of how an entity tops up capacity. Additionally, an elevated crash on the skin deepens , the growth of spots that enfold the tongue via numerous configurations, hence modifying the common tongue to a malformation. To scrutinize the affected area in the tongue and estimate its measurement, employ the arithmetical process of rescue measures along with increasing the nature of the diagnosis.
ANALYSIS OF NEUTROSOPHIC SETS AND INTUITIONISTIC NEUTROSOPHIC SETS, COMPLEXITY IN MEDICAL DIAGNOSIS Palestine Journal of Mathematics, 2025
Enhancing Educational Systems with Fuzzy Logic-Based Decision-Making Frameworks P Sweetlin, G Jayalalitha 2025 International Conference on Networks and Cryptology Netcrypt 2025, 2025 The development of education demands a paradigm change toward learning systems that are tailored and flexible and that satisfy the several needs of students. Conventional methods typically lack the adaptability to handle different learning speeds, cognitive skills, and customized support. This limit also affects general performance and satisfaction as well. Fuzzy logic offers a new way to solve these problems by letting systems handle uncertain and imprecise data, so simulating human decision-making. This paper attempts to introduce a fuzzy logic based on framework for decision-making proposal to enhance educational systems. This framework creates adaptive recommendations by combining elements in a range that include student involvement, performance, learning preferences, and feedback. Examining real-time student data with fuzzy rules and membership functions, the model produces forecasts about outcomes and recommendations for tailored interventions. The method employs the evolution of fuzzy inference systems, the simulation of several learning environments, and the validation of the methodology using a dataset comprising of 1500 student records obtained by means of academic performance measures and surveys. The proposed fuzzy logic framework increases satisfaction by 30 % and improves prediction accuracy for student performance by 95 % when compared to the conventional approaches, preliminary results show. The system's adaptability lets one create personalized learning paths, so creating an inclusive environment where students could realize their own potential. Reducing the work teachers have to do, the framework also automates routine tasks including performance analysis and feedback generation.
Neutrosophic Soft Sets in One And Two-Dimensions Using Iteration Method M.N.Bharathi, G.Jayalalitha Neutrosophic Sets and Systems, 2025 This paper introduces a different perspective of Neutrosophic Fractals and Neutrosophic Soft Fractals, merging the principles of Neutrosophic Logic, Soft set theory, and Fractal Geometry to address indeterminacy in complex, self-similar structures specifically the Von Koch curve and the Sierpinski triangle. It sightsees the complex qualities of Neutrosophic soft sets by incorporating attributes of falsification, indefiniteness, and truth into union and intersection operations. The research elucidates the interplay between Neutrosophic Logic and fractal geometry, leading to more precise modeling of complex systems. Proving theorems and providing examples examine the intricate interactions between membership characteristics in these fractal structures, demonstrating self-similarity. Fractal geometry is applied innovatively to improve the representation of uncertainty, indeterminacy, and falsity in Neutrosophic Logic, enhancing mathematical modeling techniques. Results show that the Sierpinski triangle provides a better representation than the Koch curve.
Analysis of Topological Indices and Fractals in Amoxicillin Letters in Applied Nanobioscience, 2024 Antibiotics are essential for curing diseases. Amoxicillin is indeed one of the antibiotics used to treat bacterial infections. Topological indices are mathematical values used to analyze and explore certain physicochemical properties of molecules. In this paper, various topological indices are computed based on the degree of the studied molecular graph. Topological indices values are utilized in drug design analysis to guide patient treatment strategies. The complexity derived from topological values can be further analyzed using mathematical concepts like Julia sets.
Advanced fractal graph theory and applications P. Tharaniya, G. Jayalalitha, Pethuru Raj, B. Sundaravadivazhagan Advanced Fractal Graph Theory and Applications, 2024 This book explores the dynamic interplay between fractals and graph theory, two powerful mathematical tools with vast applications. It presents a strategic combination and the synergistic use of these disciplines to address real-world problems and challenges. The book begins with an introduction to the basic concepts of fractals and graph theory and goes on to explore the applications in various domains, including natural phenomena modeling, scheduling, and network optimisation. This book: Illustrates the innovative ways fractals and graph theory can be combined, laying the groundwork for future applications across various industries Introduces the fundamental concepts and principles of both fractals and graph theory in detail, making it accessible to a broad audience, including those new to these topics Explores practical applications in image processing, network optimisation, social network analysis, and more, demonstrating the real-world impact of these mathematical tools Analyses advanced techniques in graph theory, such as matching, domination, and colouring, with practical examples and case studies Highlights the latest research advancements in fractal graph theory, showcasing its potential for future developments and applications This book is for students, researchers, and professionals in mathematics, computer science, engineering, and related fields.
Enhanced Security in Public Key Cryptography: A Novel Approach Combining Gaussian Graceful Labeling and NTRU Public Key Cryptosystem S Kavitha, G Jayalalitha, K Sivaranjani Eai Endorsed Transactions on Internet of Things, 2024 This research explores an encryption system that combines the Nth-degree Truncated Polynomial Ring Unit (NTRU) public key cryptosystem with Gaussian Graceful Labeling. This process assigns distinct labels to a graph's vertices, resulting in successive Gaussian integers. The NTRU method offers enhanced security and efficient key exchange. The communication encryption process depends on integers P, a, and b, with P being the largest prime number in the vertex labeling. The original receivers are the vertex labeling with the largest prime number coefficient, while all other receivers receive messages from the sender. A polynomial algebraic mixing system and a clustering principle based on the abecedarian probability proposition are used in NTRU encryption and decryption. The choice of relatively prime integers p and q in NTRU plays a role in the construction of polynomial rings used for encryption and decryption, with specific choices and properties designed to ensure scheme security.
Analysis of Bacillus Thuringiensis Bacteria Applying Multifractals S. Pavithra, G. Jayalalitha Proceedings of 9th International Conference on Science Technology Engineering and Mathematics the Role of Emerging Technologies in Digital Transformation Iconstem 2024, 2024
Estimating the skin cancer using fractals V. Vasantha, D. Manimegalai Proceedings International Conference on Computational Intelligence and Multimedia Applications Iccima 2007, 2008
Enhancing AI with fractal geometry for advanced data compression S Kavitha, G Jayalalitha AIP Conference Proceedings 3348 (1), 030011 , 2026 2026
Minimum Connected Dominating Energy of Graphs in Alkane GT Fathima, G Jayalalitha, RM Arfayeen Advanced Pathways in Electrical, Communication, and Automation, 421-426 , 2026 2026
Spectral Analysis of the Similarity of Shampoo Ingredients Via Graph Theory T Greeta, G Jayalalitha Advanced Pathways in Electrical, Communication, and Automation, 383-388 , 2026 2026
Creation of Bacteria in Tongue Diagnosis Based on Fractal Methods. S Pavithra, G Jayalalitha Baghdad Science Journal 22 (7) , 2025 2025
The study on Schizophrenia using Brownian motion and network analysis K Suspritha, G Jayalalitha AIP Conference Proceedings 3306 (1), 020016 , 2025 2025
Enhancing Educational Systems with Fuzzy Logic-Based Decision-Making Frameworks P Sweetlin, G Jayalalitha 2025 International Conference on Networks and Cryptology (NETCRYPT), 422-426 , 2025 2025
ANALYSIS OF NEUTROSOPHIC SETS AND INTUITIONISTIC NEUTROSOPHIC SETS, COMPLEXITY IN MEDICAL DIAGNOSIS MN Bharathi, G Jayalalitha Palestine Journal of Mathematics 14 , 2025 2025
Neutrosophic Fuzzy Sets of Interval Analysis in Parachute Dive Using Alpha-Cut and Harfa Fractals MN Bharathi, G Jayalalitha Volume IV, 95-102 , 2025 2025
Tracing the gesture of bacteria using DLA method S Pavithra, G Jayalalitha Hybrid and Advanced Technologies, 635-640 , 2025 2025
Neutrosophic soft sets in one and two-dimensions using iteration method MN Bharathi, G Jayalalitha Neutrosophic Sets and Systems 79, 330-341 , 2025 2025 Citations: 1
Advanced fractal graph theory and applications P Tharaniya, G Jayalalitha, P Raj, B Sundaravadivazhagan Chapman and Hall/CRC , 2024 2024 Citations: 5
Analysis Of Neutrosophic Set, Julia Set In Aircraft Crash MN Bharathi, G Jayalalitha Neutrosophic Sets and Systems, 218 , 2024 2024 Citations: 1
Analysis of Bacillus Thuringiensis Bacteria Applying Multifractals S Pavithra, G Jayalalitha 2024 Ninth International Conference on Science Technology Engineering and … , 2024 2024
AN INVESTIGATION ON THE INTER RELATIONS BETWEEN FUZZY ROUGH UTRA TM CONNECTED SYSTEM AND OTHER FUZZY ROUGH ALGEBRAIC TM SYSTEM M SRIVIDYA, G JAYALALITHA 2024
Inter relations between algebraic boundary and other boundary M Srividya, G Jayalalitha 2024
A STUDY ON QUASI UNIFORM DYNAMICAL SYSTEM M Srividya, D Vidhya, G Jayalalitha International Journal of Scientific Research in Modern Science and … , 2023 2023
A CONTRIBUTION TO THE STUDY ON CHAOS SPACE IN FUZZY ROUGH ALGEBRAIC TM SYSTEM M Srividya, G Jayalalitha International Journal of Scientific Research in Modern Science and … , 2023 2023
Enhanced Security in Public Key Cryptography: A Novel Approach Combining Gaussian Graceful Labeling and NTRU Public Key Cryptosystem S Kavitha, G Jayalalitha, K Sivaranjani EAI Endorsed Transactions on Internet of Things 10 , 2023 2023 Citations: 2
Brownian Motion in Shares of Bank K Suganthi, G Jayalalitha Mathematical and Computational Intelligence to Socio-scientific Analytics … , 2023 2023
A STUDY ON FUZZY ROUGH ALGEBRAIC BORDER AND EXTERIOR M SRIVIDYA, G JAYALALITHA 2023
MOST CITED SCHOLAR PUBLICATIONS
Fractal model for blood flow in cardiovascular system G Jayalalitha, VS Deviha, R Uthayakumar Computers in Biology and Medicine 38 (6), 684-693 , 2008 2008 Citations: 53
Geometric brownian motion in stock prices K Suganthi, G Jayalalitha Journal of Physics: Conference Series 1377 (1), 012016 , 2019 2019 Citations: 39
Fuzzy triangular numbers in-Sierpinski triangle and right angle triangle T Sudha, G Jayalalitha Journal of Physics: Conference Series 1597 (1), 012022 , 2020 2020 Citations: 14
Recognition of Cervical cancer based on Fractal Dimension G Jayalalitha, R Uthayakumar 2009 International Conference on Advances in Recent Technologies in … , 2009 2009 Citations: 14
Border detection of skin cancer cells with fractal dimension R Uthayakumar, G Jayalalitha Fractals 17 (02), 171-180 , 2009 2009 Citations: 14
Estimating the skin Cancer using fractals G Jayalalitha, R Uthayakumar International Conference on Computational Intelligence and Multimedia … , 2007 2007 Citations: 14
Degree based in Molecular Graph of Organic compounds on Domination S Vijayalakshmi, M Raji, G Jayalalitha Journal of Advanced Research in Dynamical and Control Systems 10 (6), 962-66 , 2018 2018 Citations: 12
Fractal approach to identify the grade of cervical cancer G Jayalalitha, R Uthayakumar Fractals 19 (01), 125-139 , 2011 2011 Citations: 12
Schultz polynomial, modified Schultz polynomial and indices of molecular graph of anthracene based on domination G Jayalalitha, M Raji International Journal of Research in Advent Technology 7 (1), 136-140 , 2019 2019 Citations: 11
Complex patterns in financial time series through Higuchi’s fractal dimension TG Grace Elizabeth Rani, G Jayalalitha Fractals 24 (04), 1650048 , 2016 2016 Citations: 9
Hyper wiener index of molecular graph of naphthalene using domination G Jayalalitha, M Raji, S Senthil Int. J. Analyt. Exper. Modal Anal.(IJAEMA). XI 10, 126-129 , 2019 2019 Citations: 8
Fractal model of the blood vessel in cardiovascular system G Jayalalitha, VS Deviha, R Uthayakumar 15th International Conference on Advanced Computing and Communications … , 2007 2007 Citations: 8
A comparison of fractal dimension algorithms by Hurst exponent using gold price time series P Uthayakumar, G Jayalalitha International Journal for Research in Applied Science & Engineering … , 2014 2014 Citations: 7
Advanced fractal graph theory and applications P Tharaniya, G Jayalalitha, P Raj, B Sundaravadivazhagan Chapman and Hall/CRC , 2024 2024 Citations: 5
Analyzation of Maximum Matching and Maximal Matching in Various Graphs A Anitha, P Tharaniya, S Senthil, G Jayalalitha International Journal of Pharmaceutical Research 12 (3), 778-782 , 2020 2020 Citations: 5
Single Server FiniteCapacity Markovian Queuing Model withEncouragement Arrival M Ahmad, G Jayalalitha Nat. Volatiles &Esent. Oils 8 (5), 9417-9424 , 2021 2021 Citations: 4
Equitable Domination in Chemical Structural Graph EA Gnanasoundari, M Raji, G Jayalalitha European Journal of Molecular & Clinical Medicine 7 (2), 5246-5249 , 2020 2020 Citations: 4
Spectral decimation functions and forbidden eigen values in the graph of level sierpinski triangles P Uthayakumar, G Jayalalitha South Asian Journal of Engineering and Technology 2 (14), 47-57 , 2016 2016 Citations: 4
Molecular graph of linear benzenoid compounds as fractals M Raji, G Jayalalitha Elem. Educ. Online 20 (4), 2146-2146 , 2021 2021 Citations: 3
Applying Queuing Theory to Enhance the Service Provided by A Restaurant LK Bhavani, G Jayalalitha Annals of the Romanian Society for Cell Biology 25 (6), 4479-4484 , 2021 2021 Citations: 3