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Fuzzy difference Equations in diagnoses of Glaucoma from Retinal Images Using deep Learning

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 801-816页

作者： d.dorathy Prema kavitha L.Francis Raj Sandeep Kautish Abdulaziz S.Almazyad Karam M.Sallam Ali Wagdy Mohamed department of Mathematics Voorhees CollegeVelloreTamil NaduIndia Chandigarh Group of Colleges JhanjeriMohaliPunjabIndia department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia Faculty of Science and Technology School of IT and SystemsUniversity of CanberraCanberraAustralia Operations Research department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Applied Science Research Center Applied Science Private UniversityAmman11937Jordan

The intuitive fuzzy set has found important application in decision-making and machine *** enrich and utilize the intuitive fuzzy set,this study designed and developed a deep neural network-based glaucoma eye detection using fuzzy difference equations in the domain where the retinal images *** image detections are categorized as normal eye recognition,suspected glaucomatous eye recognition,and glaucomatous eye *** degrees associated with weighted values are calculated to determine the level of concentration between the fuzzy partition and the retinal *** proposed model was used to diagnose glaucoma using retinal images and involved utilizing the Convolutional Neural Network(CNN)and deep learning to identify the fuzzy weighted regularization between *** methodology was used to clarify the input images and make them adequate for the process of glaucoma *** objective of this study was to propose a novel approach to the early diagnosis of glaucoma using the Fuzzy Expert System(FES)and Fuzzy differential equation(FdE).The intensities of the different regions in the images and their respective peak levels were *** the peak regions were identified,the recurrence relationships among those peaks were then *** partitioning was done due to varying degrees of similar and dissimilar concentrations in the *** and dissimilar concentration levels and spatial frequency generated a threshold image from the combined fuzzy matrix and *** distinguished between a normal and abnormal eye condition,thus detecting patients with glaucomatous eyes.

关键词： Convolutional Neural Network(CNN) glaucomatous eyes fuzzy difference equation intuitive fuzzy sets image segmentation retinal images

Adaptive Window Based 3-d Feature Selection for Multispectral Image Classification Using Firefly Algorithm

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Computer Systems Science & Engineering 2023年第1期44卷 265-280页

作者： M.Rajakani R.J.kavitha A.Ramachandran Full Time Research Scholar Department of Electronics and Communication EngineeringUniversity College of EngineeringPanruti607106India department of Electronics and Communication Engineering University College of EngineeringPanruti607106India department of Computer Science and Engineering University College of EngineeringPanruti607106India

Feature extraction is the most critical step in classification of multispectral *** classification accuracy is mainly influenced by the feature sets that are selected to classify the *** the past,handcrafted feature sets are used which are not adaptive for different image *** overcome this,an evolu-tionary learning method is developed to automatically learn the spatial-spectral features for classification.A modified Firefly Algorithm(FA)which achieves maximum classification accuracy with reduced size of feature set is proposed to gain the interest of feature selection for this *** extracting the most effi-cient features from the data set,we have used 3-d discrete wavelet transform which decompose the multispectral image in all three *** selecting spatial and spectral features we have studied three different approaches namely overlapping window(OW-3dFS),non-overlapping window(NW-3dFS)adaptive window cube(AW-3dFS)and Pixel based *** Multiclass Support Vector Machine(MSVM)is used for classification *** con-ducted on Madurai LISS IV multispectral image exploited that the adaptive win-dow approach is used to increase the classification accuracy.

关键词： Multispectral image modifiedfireﬂy algorithm 3-d feature extraction feature selection multiclass support vector machine classification

Propagation of an electromagnetic soliton in an anisotropic biquadratic ferromagnetic medium

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Chinese Physics B 2013年第3期22卷 275-281页

作者： L.kavitha M.Saravanan d.Gopi department of Physics Periyar University The Abdus Salam International Centre for Theoretical Physics TriesteItaly Center for Nanoscience and Nanotechnology Periyar University department of Chemistry Periyar University

Information storage technology based on anisotropic ferromagnets with sufficiently high magneto-optical effects has received much attention in recent ***-optical recording combines the merits of magnetic and optical *** investigate the magneto-optical effects on a biquadratic ferromagnet and show that the dynamics of the system are governed by a perturbed nonlinear Schro¨dinger *** evolutions of amplitude and velocity of the soliton are found to be time independent,thereby admitting the lossless propagation of the electromagnetic soliton in the medium,which may have potential applications in soliton based optical communication *** also exploit the role of perturbation,which has a significant impact on the propagation of an electromagnetic soliton.

关键词： solitons classical spin models Maxwell equations nonlinear dynamics

Pervasive underwater passive target tracking for the computation of standard deviation solution in a 3d environment

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International Journal of Intelligent Computing and Cybernetics 2021年第4期14卷 580-597页

作者： M.kavitha Lakshmi S.Koteswara Rao Kodukula Subrahmanyam Computer Science and Engineering Koneru Lakshmaiah Education FoundationGunturIndia Electronics and Communications Engineering Koneru Lakshmaiah Education FoundationGunturIndiaand

Purpose-Nowadays advancement in acoustic technology can be explored with marine *** purpose of the paper is pervasive computing underwater target tracking has aroused military and civilian interest as a key component of ocean *** many pervasive techniques are currently found in the literature,there is little published research on the effectiveness of these paradigms in the target tracking ***/methodology/approach-The unscented Kalman filter(UKF)provides good results for bearing and elevation angles only *** methodology and mathematical modeling are carried out and used to analyze the performance of the filter based on the Monte Carlo ***-due to the intricacy of maritime surroundings,tracking underwater targets using acoustic signals,without knowing the range parameter is *** intention is to find out the solution in terms of standard deviation in a three-dimensional(3d)***/value-A new method is found for the acceptance criteria for range,course,speed and pitch based on the standard deviation for bearing and elevation 3d target tracking using the unscented Kalman filter covariance *** the Monte Carlo simulation,several scenarios are used and the results are shown.

关键词： Unscented Kalman filter Underwater target tracking Acceptance criteria Three-dimensional target tracking Standard deviation

Modulational instability of optically induced nematicon propagation

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Chinese Physics B 2013年第12期22卷 578-588页

作者： L. kavitha M. Venkatesh S. dhamayanthi d. Gopi department of Physics Periyar University The Abdus Salam International Center for Theoretical Physics Center for Nanoscience and Nanotechnology Periyar University department of Chemistry Periyar University

We report the modulational instability （MI） analysis for the modulation equations governing the propagation of coherent polarized light through a nematic liquid crystal （NLC） slab, in the limit of low light intensity and local material response. The linear stability analysis of the nonlinear plane wave solutions is performed by considering both the wave vectors （k,l） of the basic states and wave vectors （K,L） of the perturbations as free parameters. We compute the MI gain, and the MI gain peak is reduced and the stable bandwidth is widened with the increase of the strength of the applied electric field. Further, we invoke the extended homogeneous balance method and Exp-function method aided with symbolic computation and obtain a series of periodic solitonic humps of nematicon profiles admitting the propagation of laser light in the NLC medium.

关键词： solitons computational methods liquid crystals nonlinearity

The propagation of shape changing soliton in a nonuniform nonlocal media

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Chinese Physics B 2013年第8期22卷 462-480页

作者： L. kavitha C. Lavanya S. dhamayanthi N. Akila d. Gopi department of Physics Periyar UniversitySalem-636 011 India The Abdus Salam International Center for Theoretical Physics Trieste Italy Center for Nanoscience and Nanotechnology Periyar UniversitySalem-636 011 India department of Chemistry Periyar UniversitySalem-636 011 India

Magnetization dynamics in uniformly magnetized ferromagnetic media is studied by using Landau-Lifshitz-Gilbert equation. The nonlinear evolution equation is integrable with site-dependent and biquadratic exchange interaction by means of Landau-Lifshitz （LL） equation which is well understood. In the present work, we construct the exact solitary solutions of the nonlinear evolution equation, particularly, we employ the modified extended tangent hyperbolic function method. We show the shape changing property of solitons for the given integrable system in the presence of damping as well as inhomogeneities.

关键词： solitons classical spin models Maxwell equations nonlinear dynamics

Biochemical dissection of STAT3 signaling in amyotrophic lateral sclerosis

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Neural Regeneration Research 2025年第11期20卷 3229-3230页

作者： Savina Apolloni Nadia d’Ambrosi department of Biology University of Rome Tor VergataRomeItaly

Amyotrophic lateral sclerosis(ALS)is a progressive neurodegenerative disease characterized by the loss of upper and lower motor neurons,clinically marked by muscle atrophy and *** the clinical course is highly variable,the average time from the onset of symptoms to the need for respiratory support or death is 3-5 *** is the most prevalent motor neuron disease in adults,occurring at a rate of 2 per 100,000 individuals and affecting 5.4 per 100,000 individuals overall.

关键词： STAT3 dissection sclerosis

Oppositional Red Fox Optimization Based Task Scheduling Scheme for Cloud Environment

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Computer Systems Science & Engineering 2023年第4期45卷 483-495页

作者： B.Chellapraba d.Manohari K.Periyakaruppan M.S.kavitha department of Information Technology Karpagam Institute of TechnologyCoimbatore641032TamilnaduIndia department of Computer Science and Engineering St.Joseph’s Institute of TechnologyChennai600119India department of Computer Science&Engineering SNS College of EngineeringCoimbatore641107India department of Computer Science&Engineering SNS College of TechnologyCoimbatore641035India

Owing to massive technological developments in Internet of Things(IoT)and cloud environment,cloud computing(CC)offers a highly flexible heterogeneous resource pool over the network,and clients could exploit various resources on *** IoT-enabled models are restricted to resources and require crisp response,minimum latency,and maximum bandwidth,which are outside the *** was handled as a resource-rich solution to aforementioned *** high delay reduces the performance of the IoT enabled cloud platform,efficient utilization of task scheduling(TS)reduces the energy usage of the cloud infrastructure and increases the income of service provider via minimizing processing time of user ***,this article concentration on the design of an oppositional red fox optimization based task scheduling scheme(ORFOTSS)for IoT enabled cloud *** presented ORFO-TSS model resolves the problem of allocating resources from the IoT based cloud *** achieves the makespan by performing optimum TS procedures with various aspects of incoming *** designing of ORFO-TSS method includes the idea of oppositional based learning(OBL)as to traditional RFO approach in enhancing their efficiency.A wide-ranging experimental analysis was applied on the CloudSim *** experimental outcome highlighted the efficacy of the ORFO-TSS technique over existing approaches.

关键词： Metaheuristics task scheduling cloud computing internet of things makespan red fox optimizer

Efect of Varying dzyaloshinskii–Moriya Interaction on the Bistable Nano-Scale Soliton Switching

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Communications in Theoretical Physics 2013年第12期60卷 658-662页

作者： L.kavitha M.Saravanan V.Senthilkumar d.Gopi department of Physics Periyar University The Abdus Salam International Centre for Theoretical Physics Center for Nanoscience and Nanotechnology Periyar University department of Chemistry Periyar University

The effect of dzyaloshinskii-Moriya （d-M） interaction on the bistable nano-scale soliton switching offers the possiblity of developing a new innovative approach for data storage technology. The dynamics of Heisenberg ferromagnetic spin system is expressed in terms of generalized inhomogeneous higher order nonlinear Schr6dinger （NLS） equation. The bistable soliton switching in the ferromagnetic medium is established by solving the associated coupled evolution equations for amplitude and velocity of the soliton using the fourth order Runge-Kutta method numerically.

关键词： solitons magnetization reversal mechanisms perturbation theory exchange interactions