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Artificial Neural Network based Approach for Diagnosis of Respiratory System using Model based Parameters of Maximum Expiratory Flow-Volume Curve

C.SATHISH KUMAR, A. KANDASWAMY, RM.PL. RAMANATHAN
2002 International journal of biomedical soft computing and human sciences  
A novet method of diqgnosis ofrespiratory system basedon niodelparameters extracted]iom the MEFVcurve is presented in th is paper 71ie mode1 ts established using the lung pnessure-volume nelationship,  ...  Abstrzictt Mirzrimutn e{piratot:y.ftow-volume orEFrp curve convay vital in.fonnation about the condition qf nespirutot:I, system and can be usedfor assessing the degnee oflungjunction itupainnent.  ...  system and hence a thorough investigation of respiratory system is essential.  ... 
doi:10.24466/ijbschs.8.1_15 fatcat:hrmjhmd3qbdeleh2vau5h4rxe4

Bibliography of spiking neural P systems

Gheorghe Păun
2008 Natural Computing  
What follows is a bibliography of spiking neural P systems (SN P systems, for short), at the level of April 2009.  ...  The list which follows also includes the papers on SN P systems present in the present volume (with the indication "in the present volume"); the papers from the previous proceedings volumes of the Brainstorming  ...  Yokomori: Spiking neural P systems with an exhaustive use of rules. Intern. J. Unconventional Computing, 3, 2 (2007), 135-154. 32. M. Ionescu, D.  ... 
doi:10.1007/s11047-008-9080-1 fatcat:ybyfybe73bgnrh46lbh4wogpb4

COMPARISON OF NEURAL NETWORK NARMA-L2 MODEL REFERENCE AND PREDICTIVE CONTROLLERS FOR NONLINEAR QUARTER CAR ACTIVE SUSPENSION SYSTEM.pdf

Mustefa Jibril
2020 Figshare  
This paper offers the development of mathematical modelling anddesign of a neural network control approach.  ...  The paper will begin with a mathematical model designing primarilybased at the parameters of the active suspension system.  ...  Volume:02/Issue:03/March-2020 www.irjmets.com www.irjmets.com @International Research Journal of Modernization in Engineering, Technology and Science [181] International Research Journal of Modernization  ... 
doi:10.6084/m9.figshare.12235310 fatcat:xsngsusqrjddzoq2pb4jpwu53u

Prediction Stock Market in Iraq using Back-Propagation Neural Networks

Younis Kadthem Hameed, Hind Hussen Ali
2019 Zenodo  
Counterfeit neural systems in applied science and associated fields are process models stirred by the focal sensory systems of creatures (explicitly the cerebrum) equipped for AI and example acknowledgment  ...  The general target of the {information} mining technique is to remove data from a lot of data and to change it into an unmistakable structure for further use.  ...  CK Jha, Sandeep K Budhani (April 2012), "Application Of Neural Network In Analysis Of Stock Market Prediction", International Journal Of Computer science And Engineering Technology, Volume 3, Issue  ... 
doi:10.5281/zenodo.3571881 fatcat:3mlzrjr5ubgnlbdtkgvrmneov4

A New Robust Zero-watermarking Algorithm for Medical Volume Data

Baoru Han, Jingbing Li, Liang Zong
2013 International Journal of Signal Processing, Image Processing and Pattern Recognition  
The algorithm integrates hermite chaotic neural network and zero-watermarking technology, which is not confined to artificially selected region of interest.  ...  Fourier transform and hermite chaotic neural network .  ...  Acknowledgements This work was supported by the National Natural Science Foundation of China (No: 61263033) and the Natural Science Foundation of Hainan Province (No: 613166).  ... 
doi:10.14257/ijsip.2013.6.6.23 fatcat:ffp3uf5mgnh6nhnkasfa2uzxfe

Multispectral classification of Landsat-images using neural networks

H. Bischof, W. Schneider, A.J. Pinz
1992 IEEE Transactions on Geoscience and Remote Sensing  
Visualization methods for neural networks. In Proceedings of the 11.ICPR, volume II, pages 581-585. IEEE Computer Society, 1992. [8] Horst Bischof and Axel Pinz. Neural networks in image pyramids.  ...  In IJCNN International Conference on Neural Networks' 92, volume I, pages 737-742. IEEE, 1992. [11] Axel Pinz and Horst Bischof. Neural network 'surgery': Transplantation of hidden units.  ... 
doi:10.1109/36.142926 fatcat:oius7dd2sbh5lbgm77xltpkv3e

International Journal On Soft Computing ( Ijsc )

IJSC
2018 Zenodo  
The successful applications of soft computing and the rapid growth suggest that the impact of soft computing will be felt increasingly in coming years.  ...  This Open access peer-reviewed journal serves as a platform that fosters new applications for all scientists and engineers engaged in research and development in this fast growing field.  ...  KEYWORDS IRIS dataset, artificial neural networks, Back-propagation algorithm For More Details : http://airccse.org/journal/ijsc/papers/2112ijsc07.pdf Volume Link : http://airccse.org/journal/ijsc/current2012  ... 
doi:10.5281/zenodo.1314208 fatcat:3r5t5ztsgnbvjdr4cmfcty646m

Thyroid Volume Estimation Analysis with Neural and Fuzzy-Neuro Techniques - A Comparative Study

M. Balakarthikeyan, B. Chidambararajan
2013 International Journal of Computer Applications  
The Radial basis function neural network method, and by the hybrid structure of neural network and the fuzzy logic method.  ...  This paper presents a comparative study of various methods that used to identifies the thyroid volume from the ultrasound images.  ...  THYROID SEGMENTATION AND VOLUME ESTIMATION IN ULTRASOUND IMAGES, 2008, IEEE International Conference on Systems, Man and Cybernetics. [8] Eva N.K.Kollorz, Dieter A.Hahn, Rainer Linke, TmmeW.Goecke, Joachim  ... 
doi:10.5120/10012-4949 fatcat:w2lfztej2nc5fj4zsvi5ljbuty

Payload Based Internet Worm Disclosure using Neural Network

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
This paper displays an original thought of separating stream level highlights that can distinguish worms from clean projects utilizing information mining method, for example, neural system classifier.  ...  With the capacity of contaminating a huge number of hosts, worms speak to a noteworthy danger to the Internet. The identification against Internet worms is generally an open issue.  ...  ", International Journal Of Pure And Applied Mathematics, Volume 116 No. 8 2017, 327-333, Issn: 1314-3395 [19] M.S.  ... 
doi:10.35940/ijitee.i3228.0789s319 fatcat:tpc6lqhsczfa3kxgdmx5xvj46i

Data-driven Fault Diagnosis of Power Transformers using Dissolved Gas Analysis (DGA)

Arian Dhini, Akhmad Faqih, Benyamin Kusumoputro, Isti Surjandari, Andrew Kusiak
2020 International Journal of Technology  
Backpropagation neural networks (BPNN) and extreme learning machine-radial basis function (ELM-RBF), a recent Neural Networks (NN)-based method with extremely fast computation time, were compared to SVM  ...  This study proposed data-driven approaches for a fault diagnosis system based on DGA data using support vector machine (SVM).  ...  International Journal of Technology , Volume 8(7), pp. 1217–1228 Yang, Z., Tang, W., Shintemirov, A., Wu, Q., 2009.  ... 
doi:10.14716/ijtech.v11i2.3625 doaj:b86afe8988d04d28af421c1ae4b4880e fatcat:jozwnbipqzb5fmn42byi7qbm2q

DC MOTOR SPEED CONTROL WITH THE PRESENCE OF INPUT DISTURBANCE USING NEURAL NETWORK BASED MODEL REFERENCE AND PREDICTIVE CONTROLLERS.pdf

Mustefa Jibril
2020 Figshare  
In this paper we describe a technical system for DC motor speed control.  ...  The speed of DC motor is controlled usingNeural Network Based Model Reference and Predictive controllers with the use of Matlab/Simulink.  ...  Journal of Modernization in Engineering Technology and Science Volume: 02/Issue: 04/April-2020 www.irjmets.com www.irjmets.com @International Research Journal of Modernization in Engineering, Technology  ... 
doi:10.6084/m9.figshare.12235337 fatcat:lr4ylds5cjestaf2p44gjn5fiy

A CLASSIFIED REVIEW ON THE COMBINATION FUZZY LOGIC–GENETIC ALGORITHMS BIBLIOGRAPHY: 1989–1995 [chapter]

O. Cordón, F. Herrera, M. Lozano
1997 Advances in Fuzzy Systems — Applications and Theory  
International Journal of Approximate Reasoning 12(3): 293{315. 46. Hessburg T., Lee M.  ...  Japanese Journal of Fuzzy Theory and Systems 6(6): 673{ 685. 3.11 Fuzzy pattern recognition and image processing 1.  ... 
doi:10.1142/9789814261296_0012 fatcat:emq37i6lfjbi3pnp72fzr5wss4

NONLINEAR AUTOREGRESSIVE MOVING AVERAGE-L2 MODEL BASED ADAPTIVE CONTROL OF NONLINEAR ARM NERVE SIMULATOR SYSTEM.pdf

Mustefa Jibril
2020 Figshare  
This paper considers the trouble of the usage of approximate strategies for realizing the neural controllers fornonlinear SISO systems.  ...  Thecomparative simulation result shows the effectiveness of the system with a neural network controller with NARMAL2 model based model reference adaptive control system.  ...  : 2582-5208 International Research Journal of Modernization in Engineering Technology and Science Volume:02/Issue:03/March-2020 www.irjmets.com www.irjmets.com @International Research Journal of Modernization  ... 
doi:10.6084/m9.figshare.12235343 fatcat:vfit32i7erffjnogamm3m4d5kq

Rhythmic and sustained oscillations in metabolism and gene expression of Cyanothece sp. ATCC 51142 under constant light

Sandeep B. Gaudana, S. Krishnakumar, Swathi Alagesan, Madhuri G. Digmurti, Ganesh A. Viswanathan, Madhu Chetty, Pramod P. Wangikar
2013 Frontiers in Microbiology  
S, 2005, Fast Computation of the Fitness Function for Protein Folding Prediction in a 2D Hydrophilic-Hydrophobic Model, International Journal of Simulation: Systems, Science & Technology, vol 6, United  ...  On the Analysis of Time-delayed Interactions in Genetic Network using S-System Model, In Proc. 20th International Conference on Neural Information Processing (ICONIP), pp. 616-623, ERA A [32] Ahsan  ... 
doi:10.3389/fmicb.2013.00374 pmid:24367360 pmcid:PMC3854555 fatcat:lvjvebne2ja4tasxsc3a7r5znm

Classification and Detection of Brain Tumor by using GLCM Texture Feature and ANFIS

Pravin R. Kshirsagar, Arpit D. Yadav, Kirti A. Joshi, Pranav Chippalkatti, Rinali Y.Nerkar
2020 Zenodo  
In the proposed work Neural Network utilized for location and characterization of Brain tumor.  ...  Presently days the procedure or system which utilized is extremely tedious process and there might be odds of human blunder.  ...  hybridized neural network and optimization algorithms for Prediction& classification of International Journal of Computer Applications (0975-8887) Volume, 2016 XXV.  ... 
doi:10.5281/zenodo.3764673 fatcat:ewps3q4a5jez3hn2dyt3ht5rqq
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