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The aim of this study is to examine the impact of corporate characteristics on voluntary disclosures of management discussion and analysis (MD&A) reports in India. Using a formal tone, the data was extracted from the annual reports of the top 100 listed firms available on the CMIE Prowess...
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Reshaping has become a key phenomenon in all the spheres of business. The market, marketing strategies and market structure were simple to understand. With growing complexity, variety and emergence of new techniques at very short intervals resulted to increase the vibrancy in the overall...
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This book provides a unique synthesis of concepts and tools to examine natural resource, socio-economic, legal, policy and institutional issues that are important for managing urban growth into the future. The book will particularly help the reader to understand the current issues and challenges...
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Environmental flow methodologies based on hydrological indices have increasingly evolved, because they play an important role in a riverine ecosystem management. Moreover, human activities, such as dams, in many basins have altered their natural hydrologic processes and they also change habitat...
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The objective of this study is to develop soft computing and data reconstruction techniques for modeling monthly California Irrigation Management Information System (CIMIS) evapotranspiration (ET<Subscript>o</Subscript>) at two stations, U.C. Riverside and Durham, in California. The nonlinear dynamics of monthly CIMIS...</subscript>
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This study employed four methods—non-linear regression, fuzzy logic (FL), artificial neural networks (ANNs), and genetic algorithm (GA)-based nonlinear equation—for predicting mean discharge and bank-full discharge from cross-sectional area. The data compiled from the literature were...
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This paper discusses the use of artificial neural network (ANN) models for predicting daily flows from Khosrow Shirin watershed located in the northwest part of Fars province in Iran. A Multi-Layer Perceptron (MLP) neural network was developed using five input vectors leading to five ANN models:...
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