Mathematical modeling of real world problems interdisciplinary studies in applied mathematics / Zafer Aslan, Funda Dökmen, Enrico Feoli and Abul H. Siddiqi, editors.

Format Electronic
Publication InfoNew York : Nova Science Publishers, [2019]
Descriptionviii, 313 pages : illustrations, maps ; 26 cm.
Supplemental ContentFull text available from Ebook Central - Academic Complete
Subjects

Other author/creatorAslan, Zafer.
Other author/creatorDökmen, Funda.
Other author/creatorFeoli, E.
Other author/creatorSiddiqi, A. H.
SeriesMathematics research developments
Contents Drought survey of basin of Büyük Menderes by SPI / A. Tokgözlü, E. Özkan, F. Dökmen and Z. Aslan -- An observational and numerical study of precipitation concentration and erosivity indices / Z.N. Çağlar, B. Oğuzhan, D.O. Demirci, S. Söğüt, N. Yeniçeri, A. Tokgözlü and Z. Aslan -- Shoreline extraction from cloud removed landsat image : case study Lake Erçek, Turkey / K. Kalkan, D. Maktav and B. Bayram -- The influence of two radiation schemes on the global daily solar irradiance using a regional climate model (RegCM4) / Samy A. Anwar and M.M. Abdel Wahab -- Nonlinear time series analysis of environment pollutants / R. Bhardwaj -- Assessment of water quality model using fuzzy logic system : a case study of surface water resources in Yalova of Turkey / F. Dökmen and N. Duru -- Sensitivity of RegCM4.2 convection schemes over Nile Basin Domain / Mahmoud Gaber Aly, Mohamed M. Abdel Wahab and Asharf S. Zaky -- Algorithmic approaches for ECG analysis / H. Kodal Sevindir, C. Yazici and Suleyman Çetinkaya -- Coordinates of neurosurgery in 3-dimensional cubic system : assessment of brain through the principles of geometry / İ. Doğan and T. Dündar -- Understanding the brain : computational neuroscience / A.S. Mutluer, I. Doğan and T.T. Dündar -- Brain tumors and future therapeutic options / T.T. Dündar, İ. Doğan and A.S. Mutluer -- A novel approach to neuro-fuzzy system algorithms : modelling for the classification of MS subgroups in MRI / Y. Karaca -- Wavelet transform with analyzed signals : detection of breast cancer with SVM kernels algorithms / Y. Karaca and Z. Noore -- Diagnosing Parkinson's disease by machine learning methods using force signals / Fatih Aydın and Zafer Aslan.
Abstract "Data mining provides avenues for proper understanding of real world problems. For researchers interested in data mining and new applications, this book is a multidisciplinary 'handbook' in data processes, engineering and medical applications. The authors from the different parts of the world discuss major issues of importance for integrated mathematical implementation and developing experiences. From the general spectrum, the individual spectra can be allowing for separate detection and monitoring of the problem by decomposing the space and time series into signal and noise components. It provides an up-front review of mathematical modeling of real world problems and interdisciplinary studies in applied mathematics that are not only for scientists, engineers, planners or, social scientists but because also everyone can read and understand the real world problems from environment to medicine and their interaction to mathematical implementation. Mathematical studies of the book are aimed to analyze and visualize real world problems in engineering and environmental studies like drought survey, precipitation and erosivity, cloud clarification, estimation of convection scheme and non-linear time series of air pollution, water management, water quality and river pollution and also in medical sciences like, ECG analyses, neurosurgery, computational neuroscience, brain disasters, Parkinson diseases, support vector machine, logic and mathematics. Authors recommend it to researchers with an interest in interaction of social, environmental, agricultural and medical scientists, engineers and planners who are applying wavelets and applied mathematics in their research"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2019041486
ISBN9781536162677 (hardcover)
ISBN(adobe pdf)

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