S. Lakshmanaprabu

发表

Effective features to classify ovarian cancer data in internet of medical things

Ashutosh Kumar Singh, M. Elhoseny, Guibin Bian, 2018, Comput. Networks.

Adaptive multi-loop fractional order PID controller tuning using Bat colony optimization for Quadruple Tank process

S. Lakshmanaprabu, U. Sabura Banu, 2015, 2015 International Conference on Robotics, Automation, Control and Embedded Systems (RACE).

Optimal Model Based Control for Blood Glucose Insulin System Using Continuous Glucose Monitoring

S. Lakshmanaprabu, N. Sivaramakrishnan, M. Muvvala, 2017 .

Identification and characterisation of choroidal neovascularisation using e-Health data through an optimal classifier

G. Anitha, S. K. Lakshmanaprabu, Mohamed Ismail, 2020, Electron. Gov. an Int. J..

Multiloop Fractional Order PID Controller Tuned Using Cuckoo Algorithm for Two Interacting Conical Tank Process

S. K. Lakshmanaprabu, U. Sabura Banu, S. Lakshmanaprabu, 2015 .

Active Database System Approach and Rule Based in the Development of Academic Information System

Eswaran Perumal, Andino Maseleno, S. K. Lakshmanaprabu, 2018 .

Adaptive multi-loop IMC-based PID controller tuning using bat optimisation algorithm for two interacting conical tank process

S. K. Lakshmanaprabu, U. Sabura Banu, S. Lakshmanaprabu, 2019, Int. J. Adv. Intell. Paradigms.

Real time implementation of multivariable centralised FOPID controller for TITO process

S. K. Lakshmanaprabu, U. Sabura Banu, S. Lakshmanaprabu, 2018, Int. J. Reason. based Intell. Syst..

Formulation and evaluation of sustained release microspheres of rosin containing aceclofenac

S. Lakshmanaprabu, A. Shirwaikar, A. Kumar, 2009 .

Automation of two interacting Conical Tank Process with multiobjective optimization of fractional PID controller with a metaheuristic optimizer, the cuckoo search algorithm

S. Lakshmanaprabu, U. Banu, M. Hussain, 2017, 2017 Trends in Industrial Measurement and Automation (TIMA).

Design of Centralized Fractional order PI Controller for Two Interacting Conical Frustum Tank Level Process

S. Lakshmanaprabu, U. Banu, A. Nasir, 2017 .

Alzheimer detection using Group Grey Wolf Optimization based features with convolutional classifier

Kartik Shankar, Sudeep Tanwar, S. K. Lakshmanaprabu, 2019, Comput. Electr. Eng..

Biosynthesis of zinc oxide nanoparticle: a review on greener approach

S. Lakshmanaprabu, A. Umamaheswari, A. Puratchikody, 2018, MOJ Bioequivalence & Bioavailability.

Design of model predictive control for nonlinear process

U Sabura Banu, SK Lakshmanaprabu, D Najumnissa Jamal, 2018, 2018 International Conference on Recent Trends in Electrical, Control and Communication (RTECC).

Secret image sharing scheme with encrypted shadow images using optimal homomorphic encryption technique

Mohamed Elhoseny, Xiaohui Yuan, Kartik Shankar, 2018, Journal of Ambient Intelligence and Humanized Computing.

Secret image sharing scheme with encrypted shadow images using optimal homomorphic encryption technique

M. Elhoseny, S. Lakshmanaprabu, Xiaohui Yuan, 2018, Journal of Ambient Intelligence and Humanized Computing.

Effective Features to Classify Big Data Using Social Internet of Things

V. H. C. de Albuquerque, P. Pinheiro, J. Rodrigues, 2018, IEEE Access.

Optimal feature-based multi-kernel SVM approach for thyroid disease classification

Andino Maseleno, Deepak Gupta, Victor Hugo C. de Albuquerque, 2018, The Journal of Supercomputing.

Optimal deep learning model for classification of lung cancer on CT images

N. Arunkumar, Sachi Nandan Mohanty, S. K. Lakshmanaprabu, 2019, Future Gener. Comput. Syst..

Charismatic Document Clustering Through Novel K-Means Non-negative Matrix Factorization (KNMF) Algorithm Using Key Phrase Extraction

Andino Maseleno, K. Shankar, E. Laxmi Lydia, 2018, International Journal of Parallel Programming.

Simultaneous Determination of Gatifloxacin and Ambroxol Hydrochloride in a Tablet Formulation by Liquid Chromatography

S. Lakshmanaprabu, M. Srinivasan, L. Prabu, 2010 .

Optimal Tuning of Multivariable Centralized Fractional Order PID Controller Using Bat Optimization and Harmony Search Algorithms for Two Interacting Conical Tank Process

S. K. Lakshmanaprabu, U. Sabura Banu, S. Lakshmanaprabu, 2016 .

Multivariable centralized fractional order PID controller tuned using harmony search algorithm for two interacting conical tank process

S. K. Lakshmanaprabu, U. Sabura Banu, S. Lakshmanaprabu, 2015, 2015 SAI Intelligent Systems Conference (IntelliSys).

Improved grey wolf optimization-based feature subset selection with fuzzy neural classifier for financial crisis prediction

Shweta Sankhwar, Deepak Gupta, K. Shankar, 2019, Soft Computing.

Random forest for big data classification in the internet of things using optimal features

Kartik Shankar, M. Ilayaraja, Naveen Chilamkurti, 2019, Int. J. Mach. Learn. Cybern..

Closed Loop Control of Quadruple Tank Process using Fuzzy Logic PI Controller

S. K. Lakshmanaprabu, U. Sabura Banu, N. Sivaramakrishnan, 2014 .

Online clinical decision support system using optimal deep neural networks

Kartik Shankar, Sujatha Krishnamoorthy, Sachi Nandan Mohanty, 2019, Appl. Soft Comput..

Energy consumption analysis of Virtual Machine migration in cloud using hybrid swarm optimization (ABC–BA)

Mohamed Elhoseny, Gunasekaran Manogaran, K. Shankar, 2018, The Journal of Supercomputing.

Optimal users based secure data transmission on the internet of healthcare things (IoHT) with lightweight block ciphers

Deepak Gupta, Jafar A. Alzubi, S. K. Lakshmanaprabu, 2019, Multimedia Tools and Applications.

Optimal users based secure data transmission on the internet of healthcare things (IoHT) with lightweight block ciphers

S. Lakshmanaprabu, J. Alzubi, S. Rani, 2019, Multimedia Tools and Applications.

Automated detection and classification of fundus diabetic retinopathy images using synergic deep learning model

Deepak Gupta, Ashish Khanna, Hari Mohan Pandey, 2020, Pattern Recognit. Lett..

Hybrid optimization with cryptography encryption for medical image security in Internet of Things

Mohamed Elhoseny, N. Arunkumar, Andino Maseleno, 2018, Neural Computing and Applications.

An efficient Lightweight integrated Blockchain (ELIB) model for IoT security and privacy

Deepak Gupta, Ashish Khanna, Sachi Nandan Mohanty, 2020, Future Gener. Comput. Syst..

Multiloop FOPID Controller Design for TITO Process Using Evolutionary Algorithm

S. K. Lakshmanaprabu, D. N. Jamal, D Najumnissa Jamal, 2019, International Journal of Energy Optimization and Engineering.

Automation of two interacting conical tank process with multiobjective optimization of fractional PID controller with a metaheuristic optimizer, the cuckoo search algorithm

S. K. Lakshmanaprabu, U. Sabura Banu, Mohammed Hussain, 2017, 2017 Trends in Industrial Measurement and Automation (TIMA).

Intelligent hybrid model for financial crisis prediction using machine learning techniques

J. Uthayakumar, S. Lakshmanaprabu, N. Metawa, 2018, Information Systems and e-Business Management.

Intelligent hybrid model for financial crisis prediction using machine learning techniques

S. K. Lakshmanaprabu, J. Uthayakumar, Kartik Shankar, 2018, Information Systems and e-Business Management.

An Efficient Optimal Key Based Chaos Function for Medical Image Security

Mohamed Elhoseny, Wanqing Wu, S. K. Lakshmanaprabu, 2018, IEEE Access.

Adaptive optimal multi key based encryption for digital image security

Ashish Khanna, Victor Hugo C. de Albuquerque, Deepak Gupta, 2020, Concurr. Comput. Pract. Exp..

Efficient artificial fish swarm based clustering approach on mobility aware energy‐efficient for MANET

Joel J. P. C. Rodrigues, Kartik Shankar, Ashish Khanna, 2018, Trans. Emerg. Telecommun. Technol..

Financial crisis prediction model using ant colony optimization

S. K. Lakshmanaprabu, J. Uthayakumar, Kartik Shankar, 2020, Int. J. Inf. Manag..

An effect of big data technology with ant colony optimization based routing in vehicular ad hoc networks: Towards smart cities

Kartik Shankar, S. K. Lakshmanaprabu, S. Sheeba Rani, 2019, Journal of Cleaner Production.

Optimal tuning of decentralized fractional order PID controllers for TITO process using equivalent transfer function

Mohamed Elhoseny, S. K. Lakshmanaprabu, K. Shankar, 2019, Cognitive Systems Research.

Optimal feature-based multi-kernel SVM approach for thyroid disease classification

V. H. C. de Albuquerque, S. Lakshmanaprabu, K. Shankar, 2018, The Journal of Supercomputing.

Optimal feature level fusion based ANFIS classifier for brain MRI image classification

Mohamed Elhoseny, M. Ilayaraja, K. Shankar, 2018, Concurr. Comput. Pract. Exp..

Identification of the Fractional Order First Order Plus Dead Time Parameters of Two Interacting Conical Tank Process Using Bee Colony Optimization Technique Minimizing Root Mean Square Error

S. K. Lakshmanaprabu, U. Sabura Banu, N. Sivaramakrishnan, 2015 .

Design of Smith Predictor Based Fractional Controller for Higher Order Time Delay Process

S. Lakshmanaprabu, P. Hemavathy, Y. Shuaib, 2019 .

Ranking Analysis for Online Customer Reviews of Products Using Opinion Mining with Clustering

Joel J. P. C. Rodrigues, Plácido Rogério Pinheiro, Deepak Gupta, 2018, Complex..

Medical Image Security Using Dual Encryption with Oppositional Based Optimization Algorithm

R. Balasubramanian, S. K. Lakshmanaprabu, T. Avudaiappan, 2018, Journal of Medical Systems.

Bee colony based auto tuning of multiloop fractional order PID controller for two interacting conical tank process

S. K. Lakshmanaprabu, U. Sabura Banu, S. Lakshmanaprabu, 2015, 2015 International Conference on Computing and Communications Technologies (ICCCT).

Multiobjective Optimization of Multiloop Fractional Order PID Controller Tuned Using Bat Algorithm for Two Interacting Conical Tank Process

U. Sabura Banu, S.K. Lakshmanaprabu, S. Lakshmanaprabu, 2014 .

Real-time implementation of multi-loop internal model controller for two interacting conical tank process

S. K. Lakshmanaprabu, D. Karthik, Sabura Banu, 2015, 2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS).

Hybrid optimization with cryptography encryption for medical image security in Internet of Things

M. Elhoseny, S. Lakshmanaprabu, K. Shankar, 2018, Neural Computing and Applications.

Energy consumption analysis of Virtual Machine migration in cloud using hybrid swarm optimization (ABC–BA)

M. Elhoseny, S. Lakshmanaprabu, Gunasekaran Manogaran, 2018, The Journal of Supercomputing.