Matlab Smart Analytics For Engineering
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MATLAB: Smart Analytics For Engineering
Author: Dr R N Sankhua
language: en
Publisher: Orange books publications
Release Date: 2025-05-13
MATLAB: Smart Analytics for Water Engineering is an advanced, application-centric volume designed to foster proficiency in MATLAB within the specialized field of civil engineering. Drawing on a "learn-by-doing" pedagogical approach, the book integrates foundational programming constructs—such as matrix manipulation, vectorization, and indexing—with advanced computational methodologies including linear algebra, optimization, and statistical analysis. A distinguishing feature is its comprehensive focus on intelligent systems, encompassing neural networks, fuzzy logic, and genetic algorithms. Further enriched by capabilities in image processing, Simulink-based modeling, and immersive virtual reality techniques, the book enables dynamic analytical engagement. Anchored in practical relevance, 13 case studies illustrate practical applications across diverse hydrological basin systems, thereby bridging theory with practice. Though not an exhaustive reference manual, the text offers a strategically curated, intellectually accessible resource for engineers, researchers, and academics. It empowers users to harness MATLAB’s multifaceted functionalities in solving complex, interdisciplinary problems in contemporary water engineering.
Measurement and Data Analysis for Engineering and Science
Measurement and Data Analysis for Engineering and Science, Fourth Edition, provides up-to-date coverage of experimentation methods in science and engineering. This edition adds five new "concept chapters" to introduce major areas of experimentation generally before the topics are treated in detail, to make the text more accessible for undergraduate students. These feature Measurement System Components, Assessing Measurement System Performance, Setting Signal Sampling Conditions, Analyzing Experimental Results, and Reporting Experimental Results. More practical examples, case studies, and a variety of homework problems have been added; and MATLAB and Simulink resources have been updated.
Big Data Analytics and Intelligent Applications for Smart and Secure Healthcare Services
The book provides a comprehensive discussion for utilizing computational models such as artificial neural networks, agent-based models, and decision field theory, for reliability engineering. It further presents optimization solutions for smart and secure healthcare services. The text showcases how to predict the failure and repair rates of healthcare subsystems using computational intelligence. This book: · Explores how data-driven methodologies and advanced computational intelligence are revolutionizing the healthcare industry, promoting efficiency, accessibility, and sustainability; · Highlights the pivotal role that big data analytics plays in harnessing vast amounts of patient records, clinical information, and real-time medical data to provide timely insights for healthcare professionals and policymakers; · Discusses the integration of artificial intelligence and machine learning techniques in healthcare, with a focus on revolutionizing disease detection, treatment planning, and resource allocation; · Lays the foundation for developing sustainable healthcare systems that are adaptable to long-term challenges, such as population growth, emerging diseases, and resource constraints; · Covers computational intelligence techniques, like fuzzy logic, neural networks, and evolutionary computations, emphasizing their role in solving complex, data-driven healthcare problems; · Includes topics like data management, visualization, protection, and complex adaptive systems, as well as hybrid computational intelligence techniques for synergistic problem-solving strategies. This volume will serve as an ideal text for senior undergraduates, graduate students, and academic researchers in fields including electrical engineering, electronics and communications engineering, computer engineering, and mathematics.