Kumar naga (82 Ergebnisse)

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Soft cover. Zustand: New. Content: 1. Overview of Neural Networks. 2. Fundamentals of Neural Networks. 3. Feed forward Neural Networks. 4. Neural Networks Architectures. 5. Associative Memories. 6. Introduction to Fuzzy Sets: Basic Definitions and Relations. 7. Introduction to Fuzzy Logic. 8. Fuzzy Control and Stability. 8A. Advanced Process Control. 8B. Fuzzy Logic Application. This book gives a systemic account of major concepts, methodologies of artificial neural networks and to present a unified frame work that makes the subject more accessible to students and practitioners. The book emphasizes fundamental theoretical aspects of the computational capabilities and learning abilities of artificial neural networks. It integrates important theoretical results on artificial neural networks and uses them to explain a wide range of existing empirical observations and commonly used heuristics. The main audience of the book is undergraduate students in electrical engineering, computer science and engineering. It can also be used as a valuable resource for practical engineering computer scientists and others involved in research of artificial neural networks.…

A Textbook on Generic Product Development for B. Pharmacy Students
Kumar Perli Kranti Prasanthi R. Priya Pittu Vishnu Deepthi B. Aparna T. Naga
Verlag: Shashwat Publication
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Hardcover. Zustand: New. Water is a valuable natural resource that is essential to all aspects of life on Mother "Earth" In fact, our planet is covered by 70% of water, but only 3% of the total water is in the form of freshwater, and again two-thirds of that is in the form of glaciers or is unavailable for our use. Presently, 1.1 billion people globally lack access to good drinking water resources, and another 2.7 billion find water scarce for at least one month of the year. With growing urban population and land use changes, water scarcity will be exacerbated, and also with climate change and bio-energy demands amplify the complex relationship between world development and water demand. The chapters cover the topic of: Introduction to Remote Sensing and Its Applications Quantitative Evaluation of Geomorphology Using Geo-Spatial Techniques Insights into the Groundwater Resource Mapping Assessing Spatial Changes in Blue and Green Water Resources GIS Tools for Mapping the Spatio-Temporal Trends in Rainfall Distribution Geographic Information System (GIS): A Practical Guide Towards Data Visualization, Analysis and Map Preparation.…

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Sprache: Englisch
Verlag: CRC Press, 2026
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Sprache: Englisch
Verlag: CRC Press, 2026
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Hardcover. Zustand: New. Contents: Section 1: Basics of R Programming and its Importance in Water Resource Analysis 1 An R-Based Approach Toward Understanding the Changing Dynamics in Water Resources Naveena K., Ch.V. Naga Kumar K., Surendran U., Santhosh Onte and Manoj P. Samuel 2 An Introduction to R Programming for Water Resource Management Naveena K., Santosha Rathod and Ch.V Naga Kumar 3 Data Visualization Tools and Techniques for Analyzing Hydrological Data in R Naveena K. and Ch.V Naga Kumar Section 2: Development of Climate and Drought Indices 4 Computation of Potential, Actual, and Reference Evapotranspiration Using R Package Evapotranspiration Fathima Sona N., Naveena K., and Surendran U. 5 Comparison of Meteorological Drought Indices for Assessment of Drought Features Santhosh Onte, Naveena K., Devika Sajan, Surendran U, and Ch.V Naga Kumar 6 Computation of Weather Indices for Climate Change Analysis Venu Prasad H.D. and Nandhana S. Section 3: Statistical Time Series Analysis for Water Resource Management 7 Data Uncertainties in Water Resources Modelling: A Special Reference to Hydrology Venu Prasad H.D.and Nandhana S. 8 Trend Analysis For Studying Different Climate Change Scenarios Connecting To Water Resources Naveena K., Surendran U., Drissia T.K. and Ch.V Naga Kumar 9 A Time Series Forecasting of Water Resources Using Autoregressive Integrated Moving Average (ARIMA) Models Naveena K. and Santosha Rathod 10 Modeling Time-Varying Volatility of Drought Using ARIMAGARCH. Naveena K., Halagundegowda G.R. and Nagaraja M.S. Section 4: Machine Learning Approach for Water Resource Management 11 A Comparative Study of Machine Learning Techniques for Forecasting Effective Drought Index Rajeev R.K., Mrinmoy R., Kanchan S.and Singh K.N. 12 Rainfall Prediction Using Neural Networks Veershetty, Harish Nayak G.H., G. Avinash, Vinay H.T. and Moumita Baishya 13 Multivariate Time Series Analysis for Prediction of RainfallA Machine Learning Approach Harish Nayak G.H., G. Avinash, Veershetty, Moumita Baishya and Vinay H.T. 14 Drought Coping Mechanisms: An Investigation of Determinants of Adoption by Decision Learning Approach Halagundegowda G.R., Singh A., Naveena K.and Nagaraja M.S. 15 Classification of Farmers Based on Drought Coping Strategies Using Support Vector Machine (SVM) Halagundegowda G.R., Singh A., Naveena K.and Nagaraja M.S. Section 5: Hybrid Time Series Modeling for Water Resource Management 16 Revolutionizing Rainfall Prediction: Boosting Accuracy with a Hybrid Statistical and Deep Learning Approach G. Avinash, Veershetty, Harish Nayak G.H., Vinay H.T. and Moumitha Baishya 17 Leveraging the Potential of Artificial Intelligence Techniques for Time Series Analysis: A Case Study of Modeling Water Stress Santosha Rathod, Amuktamalyada Gorlapalli and Naveena K. 18 A Two-Stage Modeling Framework for Time-Series Analysis of Spatiotemporal Data Santosha Rathod, Gayatri Chitikela, Amit Saha, Naveena K., Bishal Gurung, Mrinmoy Ray and K.N. Singh. Index. "R Programming' is a well-developed, simple, and effective programming language and an integrated environment for statistical computing and data analysis. It provides a wide variety of statistical techniques (e.g., linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and raster data processing. The growth of R's usage in water science is reflected in the number of newly published packages connecting to water problems. In this book, we explore the usage of different R packages to solve water science issues connecting to rainfall, drought, evapotranspiration, stream flow analysis, etc., advanced statistical and machine learning models like Modified Trend analysis, Autoregressive Integrated Moving Average (ARIMA), Artificial Neural Network (ANN), hybrid models (ARIMA-ANN, ARIMASVR), Multivariate modeling, spatiotemporal time series modeling, count time series modeling for forecasting, in addition to understanding the Remote Sensing.…

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Sprache: Englisch
Verlag: Taylor & Francis Ltd, 2026
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Taschenbuch. Zustand: Neu. Development of Antifungal Ointment from Abutilon indicum Leaf Extract | FORMULATION AND EVALUTION OF ANTI FUNGAL OINTMENT CONTAINING ABUTILON INDICUM LEAF EXTRACT | Tulasi Naga Pavan Kumar Ravula (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209674990 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

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Verlag: Aayu Publications, 2023
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Hardcover. Zustand: New. When the Nations of the World are competing among themselves for 'development'whatever might that mean, there is a rat-race for development. Since the industrial revolution began, there is unhindered craze among nations for natural resource extraction,urban renewal, infrastructure development like highways, bridges, irrigation canals, construction of huge dams, etc. The natural consequence is forceful displacement of common people, whose number is post-independent India is estimated to be 60-65 million with an average of one million people displaced per annum. A recent estimate suggests that at least 55% of those displaced across India are tribal people. The argument over development and tribal displacement has gotten a lot more attention recently, thus,the present book is absolutely timely and urgent, looking at the problems of displaced populations, mostly tribals, due to the much controversial Polavaram Mega-Dam Project,otherwise named as Indira Sagar Project, in the State of Andhra Pradesh. The book's main focus is on the issues related to how compensation and resettlement are allocated in such projects. The book also emphasises the experiences of dam-induced displacement in India as examples. The discrimination that displaced persons had to endure in order to benefit from policies was also graphically described in the book. Additionally, the book highlighted vividly about the displaced people had to face discrimination of getting benefits of the policies. The book would be beneficial and useful for academics, social science students, UPSC candidates, administrators, NGOs and decision-makers in public policy. …

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Zustand: New. Dr. Sunil Kumar Chawla is working as Assistant Professor in the Department of Computer Science and Engineering, Chitkara University, Rajpura, Punjab, India. He has received his doctorate from IKG Punjab Technical University, Kapurthala, .

Sprache: Englisch
Verlag: CRC Press, 2026
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Zustand: New. Ranjit Panigrahi is an Assistant Professor at the Department of Computer Applications, Sikkim Manipal University. He has been actively involved in numerous conferences and serves as a member of the technical review committee for international journals pu.

Sprache: Englisch
Verlag: CRC Press, 2022
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Motion Estimation for Video Coding: Efficient Algorithms and Architectures (Studies in Computational Intelligence, 590)
Chakrabarti, Indrajit; Batta, Kota Naga Srinivasarao; Chatterjee, Sumit Kumar
Sprache: Englisch
Verlag: Springer, 2016
Serie: Buch 107 von 538 - Studies in Computational Intelligence
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Taschenbuch. Zustand: Neu. Synthesis of Macrolides and N-Heterocyclic Compounds | Synthetic Studies of Macrolides & Synthesis and Bioevaluation of Nitrogen Containing Heterocyclic Compounds | Chebolu Naga Sesha Sai Pavan Kumar | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659115554 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Motion Estimation for Video Coding: Efficient Algorithms and Architectures (Studies in Computational Intelligence, 590)
Chakrabarti, Indrajit; Batta, Kota Naga Srinivasarao; Chatterjee, Sumit Kumar
Sprache: Englisch
Verlag: Springer, 2015
Serie: Buch 107 von 538 - Studies in Computational Intelligence
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Zustand: New. In English.

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Taschenbuch. Zustand: Neu. Neuware - The industrial landscape is changing rapidly, and so is global society. This change is driven by the growing adoption of the Industrial Internet of Things (IIoT) and artificial intelligence (AI) technologies. IIoT and AI are transforming the way industrial engineering is done, enabling new levels of automation, productivity, and efficiency. However, as IIoT and AI become more pervasive in the industrial world, they also offer new security risks that must be addressed to ensure the reliability and safety of critical systems.Industrial Internet of Things Security: Protecting AI-Enabled Engineering Systems in Cloud and Edge Environments provides a comprehensive guide to IIoT security, covering topics such as network architecture, risk management, data security, and compliance. It addresses the unique security challenges that the cloud and edge environments pose, providing practical guidance for securing IIoT networks in these contexts. It includes numerous real-world case studies and examples, providing readers with practical insights into how IIoT security and AI-enabled industrial engineering are being implemented in various industries. Best practices are emphasized for the readers to ensure the reliability, safety, and security of their systems while also learning the latest developments in IIoT security for AI-enabled industrial engineering systems in this rapidly evolving field.By offering step-by-step guidance for the implantation process along with best practices, this book becomes a valuable resource for practitioners and engineers in the areas of industrial engineering, IT, computer engineering, and anyone looking to secure their IIoT network against cyber threats.…

Sprache: Englisch
Verlag: Taylor & Francis Ltd (Sales) Mai 2026, 2026
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Taschenbuch. Zustand: Neu. Neuware - An unfortunate outcome of the growth of the Internet and mobile technologies has been the challenge of countering cybercrime. This book introduces and explains the latest trends and techniques of edge artificial intelligence (EdgeAI) intended to help cyber security experts design robust cyber defense systems (CDS), including host-based and network-based intrusion detection system and digital forensic intelligence. This book discusses the direct confluence of EdgeAI with big data, as well as demonstrating detailed reviews of recent cyber threats and their countermeasure. It provides computational intelligence techniques and automated reasoning models capable of fast training and timely data processing of cyber security big data, in addition to other basic information related to network security. In addition, it provides a brief overview of modern cyber security threats and outlines the advantages of using EdgeAI to counter these threats, as well as exploring various cyber defense mechanisms (CDM) based on detection type and approaches. Specific challenging areas pertaining to cyber defense through EdgeAI, such as improving digital forensic intelligence, proactive and adaptive defense of network infrastructure, and bio-inspired CDM, are also discussed. This book is intended as a reference for academics and students in the field of network and cybersecurity, particularly on the topics of intrusion detection systems, smart grid, EdgeAI, and bio-inspired cyber defense principles. The front-line EdgeAI techniques discussed will also be of use to cybersecurity engineers in their work enhancing cyber defense systems.…