A Study On Flood Forecasting At Sungai Lembing Using Artificial Neural Network
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A Study On Flood Forecasting At Sungai Lembing Using Artificial Neural Network
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Author : Siti Noor Alina Mohd Zulkaply
language : en
Publisher:
Release Date : 2014
A Study On Flood Forecasting At Sungai Lembing Using Artificial Neural Network written by Siti Noor Alina Mohd Zulkaply and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Flood forecasting categories.
Transmission Line Design Handbook
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Author : Brian C. Wadell
language : en
Publisher: Artech House Microwave Library
Release Date : 1991
Transmission Line Design Handbook written by Brian C. Wadell and has been published by Artech House Microwave Library this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Technology & Engineering categories.
The Transmission Line Design Handbook consolidates and distills key design data from over 600 original sources. It features 800 equations, 220 illustrations, and 610 references.
Proceedings Of The 12th National Technical Seminar On Unmanned System Technology 2020
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Author : Khalid Isa
language : ms
Publisher: Springer
Release Date : 2021-09-25
Proceedings Of The 12th National Technical Seminar On Unmanned System Technology 2020 written by Khalid Isa and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-25 with Technology & Engineering categories.
This book comprises the proceedings of the 12th National Technical Symposium on Unmanned System Technology 2020 (NUSYS’20) held on October 27–28, 2020. It covers a number of topics, including intelligent robotics, novel sensor technology, control algorithms, acoustics signal processing, imaging techniques, biomimetic robots, green energy sources, and underwater communication backbones and protocols, and it appeals to researchers developing marine technology solutions and policy-makers interested in technologies to facilitate the exploration of coastal and oceanic regions.
Watershed Hydrology
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Author : Vijay P. Singh
language : en
Publisher: Allied Publishers
Release Date : 2003
Watershed Hydrology written by Vijay P. Singh and has been published by Allied Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Groundwater categories.
Multiple Attribute Decision Making
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Author : Ching-Lai Hwang
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Multiple Attribute Decision Making written by Ching-Lai Hwang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Business & Economics categories.
This mono graph is intended for an advanced undergraduate or graduate course as weIl as for the researchers who want a compilation of developments in this rapidly growing field of operations research. This is a sequel to our previous work entitled "Multiple Objective Decision Making--Methods and Applications: A State-of-the-Art Survey," (No. 164 of the Lecture Notes). The literature on methods and applications of Multiple Attribute Decision Making (MADM) has been reviewed and classified systematically. This study provides readers with a capsule look into the existing methods, their char acteristics, and applicability to analysis of MADM problems. The basic MADM concepts are defined and a standard notation is introduced in Part 11. Also introduced are foundations such as models for MADM, trans formation of attributes, fuzzy decision rules, and methods for assessing weight. A system of classifying seventeen major MADM methods is presented. These methods have been proposed by researchers in diversified disciplines; half of them are classical ones, but the other half have appeared recently. The basic concept, the computational procedure, and the characteristics of each of these methods are presented concisely in Part 111. The computational procedure of each method is illustrated by solving a simple numerical example. Part IV of the survey deals with the applications of these MADM methods.
Compositional Data Analysis
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Author : Vera Pawlowsky-Glahn
language : en
Publisher: John Wiley & Sons
Release Date : 2011-09-19
Compositional Data Analysis written by Vera Pawlowsky-Glahn and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-19 with Mathematics categories.
It is difficult to imagine that the statistical analysis of compositional data has been a major issue of concern for more than 100 years. It is even more difficult to realize that so many statisticians and users of statistics are unaware of the particular problems affecting compositional data, as well as their solutions. The issue of ``spurious correlation'', as the situation was phrased by Karl Pearson back in 1897, affects all data that measures parts of some whole, such as percentages, proportions, ppm and ppb. Such measurements are present in all fields of science, ranging from geology, biology, environmental sciences, forensic sciences, medicine and hydrology. This book presents the history and development of compositional data analysis along with Aitchison's log-ratio approach. Compositional Data Analysis describes the state of the art both in theoretical fields as well as applications in the different fields of science. Key Features: Reflects the state-of-the-art in compositional data analysis. Gives an overview of the historical development of compositional data analysis, as well as basic concepts and procedures. Looks at advances in algebra and calculus on the simplex. Presents applications in different fields of science, including, genomics, ecology, biology, geochemistry, planetology, chemistry and economics. Explores connections to correspondence analysis and the Dirichlet distribution. Presents a summary of three available software packages for compositional data analysis. Supported by an accompanying website featuring R code. Applied scientists working on compositional data analysis in any field of science, both in academia and professionals will benefit from this book, along with graduate students in any field of science working with compositional data.
Internship Journal
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Author : Mr. Rohit Manglik
language : en
Publisher: EduGorilla Publication
Release Date : 2023-09-23
Internship Journal written by Mr. Rohit Manglik and has been published by EduGorilla Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-23 with Business & Economics categories.
In this book, we will study about the subject of 'Internship Journal', exploring its key themes, developments, and importance in the broader context of the discipline. The book offers foundational and in-depth understanding tailored to build academic insight and critical thought.
Flood Forecasting Using Artificial Neural Network Ann In Maran Pahang
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Author : Nur Atiyah Dinie Mat Arifin
language : en
Publisher:
Release Date : 2014
Flood Forecasting Using Artificial Neural Network Ann In Maran Pahang written by Nur Atiyah Dinie Mat Arifin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Flood forecasting categories.
Flood Forecasting Using Artificial Neural Networks
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Author : P. Varoonchotikul
language : en
Publisher: CRC Press
Release Date : 2017-10-02
Flood Forecasting Using Artificial Neural Networks written by P. Varoonchotikul and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-02 with categories.
This dissertation considers various questions with respect to the effects of salinity on nutrification: what are the main inhibiting factors causing the effects, do all salts have similar effects, what is the maximum acceptable salt level, are ammonia oxidisers or nitrite oxidizers most sensitive to salt stress, can nitrifiers adapt to long term salt stress and are some specific nitrifiers more resistant to salt stress than others? Research was carried out at laboratory scale and in full-scale plants and modelling was employed in both phases to provide a mathematical description for salt inhibition on nitrification and to facilitate the comparison. The result has led to an improved understanding of the effect of salinity on nitrification. The results can be used to improve the sustainability of the exisisting wastewater treatment plants operated under salt stress.
Flood Forecasting Using Machine Learning Methods
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Author : Fi-John Chang
language : en
Publisher: MDPI
Release Date : 2019-02-28
Flood Forecasting Using Machine Learning Methods written by Fi-John Chang and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-28 with Technology & Engineering categories.
Nowadays, the degree and scale of flood hazards has been massively increasing as a result of the changing climate, and large-scale floods jeopardize lives and properties, causing great economic losses, in the inundation-prone areas of the world. Early flood warning systems are promising countermeasures against flood hazards and losses. A collaborative assessment according to multiple disciplines, comprising hydrology, remote sensing, and meteorology, of the magnitude and impacts of flood hazards on inundation areas significantly contributes to model the integrity and precision of flood forecasting. Methodologically oriented countermeasures against flood hazards may involve the forecasting of reservoir inflows, river flows, tropical cyclone tracks, and flooding at different lead times and/or scales. Analyses of impacts, risks, uncertainty, resilience, and scenarios coupled with policy-oriented suggestions will give information for flood hazard mitigation. Emerging advances in computing technologies coupled with big-data mining have boosted data-driven applications, among which Machine Learning technology, with its flexibility and scalability in pattern extraction, has modernized not only scientific thinking but also predictive applications. This book explores recent Machine Learning advances on flood forecast and management in a timely manner and presents interdisciplinary approaches to modelling the complexity of flood hazards-related issues, with contributions to integrative solutions from a local, regional or global perspective.