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17 articles for “V. Sridhar”
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Research ArticleOpen accessIn the author namesA Novel Approach for Differentiating AI-Generated and Real Images Using Gabor and Color Layout Filters (GF and CLF)G. Ayyappan, A. Thankaraj, S. Surendran et al.The emergence of generative AI images has profoundly upended the art world. Distinguishing AI-generated images from human-created artwork is increasingly challenging. If this issue remains unresolved, dishonest individuals may exploit those who are willing to pay more for original artwork and businesses whose stated policies exclude AI graphics. There are a number of methods for differentiating AI photos from human … …Journal of Computer Science, Vol. 22, Issue 2 · 3 Mar 2026 · 1,751 accessesView PDFCite
Research ArticleOpen accessIn the author namesHARDWARE REALIZATION OF HIGH SPEED ELLIPTIC CURVE POINT MULTIPLICATION USING PRECOMPUTATION OVER GF(P)N. Shylashree, V. SridharTwo new theoretical approaches for the hardware realization of high speed elliptic curve point multiplication over a prime field (GF(p)) are presented. These hardware implementations use multiple units of elliptic curve point doublers, point adders and multiplexers. The modular hardware approach used here provides high speed and scalability. …Journal of Computer Science, Vol. 10, Issue 7 · 4 Feb 2014 · 6,611 accessesView PDFCite
Research ArticleOpen accessIn the author namesSLOPE STABILITY ANALYSIS OF KALLAR-COONOOR HILL ROAD STRETCH OF THE NILGIRISP. Nalina, T. Meenambal, R. Sathyanarayan SridharThe stability of slopes is always under severe threats in many parts of Western Ghats, especially in Kallar-Coonoor hill road stretch, causing disruption, loss of human life and economy. To minimize the instability of soil slope in between Kallar-Coonoor, a critical evaluation of roads is required. The stability of slopes depends on the soil shear strength parameters such as Cohesion, … …Journal of Computer Science, Vol. 10, Issue 7 · 4 Feb 2014 · 7,402 accessesView PDFCite
Research ArticleOpen accessIn the author namesFINDING A RESIDENCE WITH ALL FACILITIES USING NEAREST NEIGHBOR SEARCHK. Padmapriya, Dr. S. SridharNearest neighbor search is one of the most widely-used techniques and its applications including mobile communication, Geographic information systems, bioinformatics, computer vision and marketing. For example, four friends want to rent an apartment which should be nearer to their working places. Our paper discussed about the problems on finding the most appropriate location among a set of available places. The … …Journal of Computer Science, Vol. 10, Issue 6 · 1 Feb 2014 · 6,803 accessesView PDFCite
Research ArticleOpen accessIn the author namesLAND USE LAND COVER DYNAMICS OF NILGIRIS DISTRICT, INDIA INFERRED FROM SATELLITE IMAGERIESP. Nalina, T. Meenambal, R. Sathyanarayan SridharLand use Land cover changes are critical components in managing natural resources especially in hilly region as they trigger the erosion of soil and thus making the zone highly vulnerable to landslides. The Nilgiris district of Tamilnadu state in India is the first biosphere in Western Ghats region with rare species of flora and fauna and often suffered by frequent … …American Journal of Applied Sciences, Vol. 11, Issue 3 · 13 Jan 2014 · 7,857 accessesView PDFCite
Research ArticleOpen accessIn the author namesDECISION TREE BASED OCCLUSION DETECTION IN FACE RECOGNITION AND ESTIMATION OF HUMAN AGE USING BACK PROPAGATION NEURAL NETWORKP. Karthigayani, S. SridharOcclusion detection in face verification is an essential problem that has not widely addressed. In this study the research is deals about occlusion detection in face recognition and estimation of human age using image processing. The objects hide from another object is called as occlusion. Occlusion conditions may vary from face wearing sunglasses, wearing of scarf in the eyes and … …Journal of Computer Science, Vol. 10, Issue 1 · 12 Nov 2013 · 6,770 accessesView PDFCite
Research ArticleOpen accessIn the author namesSegmentation of Ureteric and Bladder Calculi in Ultrasound ImagesS. SridharProblem statement: The framework for segmenting calculi in ureter and bladder using ultrasound images is proposed in this study. Calculi are due to abnormal collection of certain chemicals like oxalate, phosphate and uric acid. These calculi can be present in kidney, urethra or in urinary bladder. The extraction of calculi in medical images is a difficult task as no standard … …Journal of Computer Science, Vol. 8, Issue 5 · 27 Feb 2012 · 6,917 accessesView PDFCite
Research ArticleOpen accessIn the author namesDetection of Aberrant Data Points for an effective Effort Estimation using an Enhanced Algorithm with Adaptive FeaturesS. Malathi, S. SridharProblem statement: The spiraling growth of IT industry has witnessed an unprecedented change in the software development paradigm, from algorithmic models to machine learning techniques. At present, there are no standard methods to predict the accuracy of software cost estimation, which is an important goal of the software community. Approach: This study proposes a simple and systematic algorithmic procedure for … …Journal of Computer Science, Vol. 8, Issue 2 · 21 Nov 2011 · 7,094 accessesView PDFCite
Research ArticleOpen accessIn the author namesLatent Dirichlet Allocation Model for Raga Identification of Carnatic MusicRajeswari Sridhar, Manasa Subramanian, B. M. Lavanya et al.Problem statement: In this study the Raga of South Indian Carnatic music is determined by constructing a model. Raga is a pre-determined arrangement of notes, which is characterized by an Arohana and Avarohana, which is the ascending and descending arrangement of notes and Raga lakshana. Approach: In this study a Latent Dirichlet Allocation (LDA) model is constructed to identify the … …Journal of Computer Science, Vol. 7, Issue 11 · 30 Aug 2011 · 7,734 accessesView PDFCite
Research ArticleOpen accessIn the author namesSingle Pass Seed Selection Algorithm for k-MeansK. Karteeka Pavan, Allam Appa Rao, A.V. Dattatreya Rao, G. R. SridharProblem statement: The k-means method is one of the most widely used clustering techniques for various applications. However, the k-means often converges to local optimum and the result depends on the initial seeds. Inappropriate choice of initial seeds may yield poor results. k-means++ is a way of initializing k-means by choosing initial seeds with specific probabilities. Due to the random … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Jan 2010 · 7,541 accessesView PDFCite