Articles by "Books"

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Sunday, February 16, 2025 , , ,
Abhishek Kumar Pandey, Pramod Singh Rathore, Dr S Balamurugan ... 280 pages - Language: ‎English - Publisher: ‎BPB Publications; (June, 2019).

Machine learning is mostly sought in the research field and has become an integral part of many research projects nowadays including commercial applications, as well as academic research. Application of machine learning ranges from finding friends on social networking sites to medical diagnosis and even satellite processing. In this book, we have made an honest effort to make the concepts of machine learning easy and give basic programs in MATLAB right from the installation part. Although the real-time application of machine learning is endless, however, the basic concepts and algorithms are discussed using MATLAB language so that not only graduation students but also researchers are benefitted from it.

What you will learn: Pre-requisites to machine learning + Finding natural patterns in data + Building classification methods + Data pre-processing in Python + Building regression models + Creating neural networks + Deep learning.

Who This Book is for: The book is basically meant for graduate and research students who find the algorithms of machine learning difficult to implement. We have touched all basic algorithms of machine learning in detail with a practical approach. Primarily, beginners will find this book more effective as the chapters are subdivided in a manner that they find the building and implementation of algorithms in MATLAB interesting and easy at the same time.
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Thursday, February 13, 2025 , ,
Allan Ludman, Stephen Marshak ... 528 pages - Publisher: W.W. Norton; 4th edition (July, 2019) ... Language: English - ISBN-13: 978-0393617528.

Engaging, hands-on, and visual―the geology manual that helps your students think like a geologist: The Third Edition has been thoroughly updated to help make your geology lab more active and engaging. This edition features new “What Do You Think” mini-cases that promote critical thinking, new and vastly-improved topographic maps, and updated, detailed reference figures in every chapter. With low prices and package deals available with all Marshak texts, the Laboratory Manual for Introductory Geology, Third Edition, is truly the best choice for your lab.
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Saturday, February 08, 2025 ,
Stephen Marshak ... 720 pages - Language: ‎English - Publisher: W.W. Norton; 7th edition (July, 2022).

The gold standard text for helping students visualize and understand geologic processes makes hands-on and real-world exploration easier and more impactful than ever, in any course setting. New 3D specimen and digital elevation models, with corresponding Smartwork exercises, allow students to examine specimens and sites as if they were in the field or lab. And new highly visual “Practice What You Know” and “What Can You See?” activities at the end of each chapter and in Smartwork help students synthesize and apply important concepts like a geologist. Thoroughly updated with current events and essential data, the Seventh Edition also reveals the dynamism of geology and how it impacts our lives
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Sunday, February 02, 2025 ,
Santanu Bhanja ... Language: ‎English - Publisher: ‎CRC Press; (June, 2024).

Reinforced Concrete Design (RC) is performed mostly by the limit state method throughout the world. This book covers the fundamental concepts and principles of RC design developing the topics from the basic theories and assumptions. Building upon the possible revisions to the mother code of concrete in India, IS:456-2000, it explains the RC design provisions of IRC:112-2020, which are in line with international standards. In addition to strength design, serviceability and ductility design are also covered.

Features: Highlights the basic philosophy of RC design and behaviour of the sections up to and beyond limit state. + Clarifies limit state theory from the basic assumptions provided in relevant Indian and international standards, IS:456, IRC:112 and Eurocode:2. + Includes design aids or tools for standard and high strength concrete up to M90 grade as per different codes of practice. + Explains the concept of ductility of reinforced concrete sections subjected to flexure with or without axial loads from fundamental principles. + Covers fundamentals on serviceability requirements in reinforced concrete structures. + Illustrates the design methodology of shear walls and includes design aids developed using basic principles as per relevant codes of practice. + Explains reinforced concrete design provisions as per latest national and international standards and these are expected to be in line with those to be included in the forthcoming revision of IS:456. This book is aimed at graduate students, researchers and professionals in civil engineering, construction engineering and concrete.
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Saturday, January 25, 2025 , ,
Georgios Gaganelis, Peter Mark, Patrick Forman ... 198 pages - Language: ‎English - Publisher: Ernst & Sohn; (January, 2022).

Concrete is the most used building material. Its main component, cement, however, accounts production- related for up to 10 % of global CO2 emissions and is therefore a major contributor to human-induced climate change. Due to its low tensile strength, concrete must be further enhanced in tension with adequate reinforcement, such as steel. Producing the latter therefore additionally impacts the environment. Consequently, reducing the material amount for design and construction of structures, thus lowering material- and transport-induced emissions, represents a key element to climate protection. In this context, meeting the essential requirements, sustainability, serviceability, durability is yet indispensable.The book presents innovative optimization aided design methods for concrete structures. Mathematical optimization is applied to practical problems of structural concrete at each level: from external, through internal structure identification to cross-section design. It is shown how to design resource-efficient structures following the flux of forces, how to optimally adapt reinforcement layouts to the internal force flow, and how to efficiently cope with demanding cross-sectional design tasks such as biaxial bending.

The optimization aided design methods are discussed in detail and described vividly. They are independent of standards, concrete material (normal to ultra-high performance) and reinforcement type (steel fibers to carbon bars), thus universally applicable. The book illustrates the different approaches with numerous figures and calculation examples. Existing applications in structural engineering are presented to demonstrate the potential of optimization aided design concepts, including ultra-lightweight hybrid beams, thin concrete solar collectors, and improved reinforcement layouts for tunnel lining segments.
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Friday, January 17, 2025 , ,
P. Purushothama Raj ... Language: ‎ English - Publisher: ‎ Pearson India; (January, 2016) - ISBN-10: 9332544794 - ISBN-13: ‎ 978-9332544796.

Building Construction Materials and Techniques follows a unique approach to the subject by including both materials and construction techniques in a combined text as per the latest trends in university curriculums. It also caters to the needs of the universities where these subjects are offered across two semesters as well. Of the 32 chapters in this book, 13 are dedicated to building construction materials while the remaining 19 focus on conventional as well as modern techniques in construction. The chapters are supplemented by a plethora of self-explanatory illustrations for easy comprehension. Relevant references to IS codes and standards make this text ideal for extended learning.
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Sunday, January 12, 2025 , ,

Hongjian Liao, Hangzhou Li, Zongyuan Ma ... 266 pages - Language: ‎ English - Publisher: World Scientific; (September, 2020).

This book also doubles as a textbook with an explanation of basic theory, knowledge, and skills in soil mechanics as well as the most updated codes and standards in China. Also included are guidelines at the beginning of each chapter and English-Chinese-Japanese translations of frequently-used words and expressions in the Appendix. It aims to be a reference book for students and technical staff in civil engineering, hydraulic engineering, mining engineering, and transportation engineering.

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Thursday, January 09, 2025 , ,
Zhuo Zhuang, Zhanli Liu, Binbin Cheng, Jianhui Liao ... 286 pages - Publisher: Academic Press; (April, 2014) ... Language: English - ISBN-10: 012407717X - ISBN-13: 978-0124077171. 

Extended Finite Element Method provides an introduction to the extended finite element method (XFEM), a novel computational method which has been proposed to solve complex crack propagation problems. The book helps readers understand the method and make effective use of the XFEM code and software plugins now available to model and simulate these complex problems. The book explores the governing equation behind XFEM, including level set method and enrichment shape function. The authors outline a new XFEM algorithm based on the continuum-based shell and consider numerous practical problems, including planar discontinuities, arbitrary crack propagation in shells and dynamic response in 3D composite materials. Authored by an expert team from one of China's leading academic and research institutions. + Offers complete coverage of XFEM, from fundamentals to applications, with numerous examples + Provides the understanding needed to effectively use the latest XFEM code and software tools to model and simulate dynamic crack problems.
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Friday, January 03, 2025 , ,
Tanvir Mustafy, Tauhid Rahman, Nafisa Siddiqui ... 890 pages - Language: ‎ English  - Publisher: ‎CRC Press; (December, 2024) - ISBN-10: ‎ 103250658X - ISBN-13: ‎ 978-1032506586.

This book provides a concise overview of a variety of techniques for analyzing statistical, scientific, and financial data, using MATLAB® to integrate several approaches to data analysis and statistics.

The chapters offer a broad review of computational data analysis, illustrated with many examples and applications. Topics range from the basics of data and statistical analysis to more advanced subjects such as probability distributions, descriptive and inferential statistics, parametric and non-parametric tests, correlation, and regression analysis. Each chapter combines theoretical concepts with practical MATLAB® applications and includes practice exercises, ensuring a comprehensive understanding of the material. With coverage of both basic and more complex ideas in applied statistics, the book has broad appeal for undergraduate students up to practicing engineers.
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Sunday, December 29, 2024 , ,
Steven L. Kramer, Jonathan P. Stewart ... 1042 pages - Language: English - Publisher: CRC Press; 2nd edition (November, 2024) - ISBN-10: ‎1032842741 - ISBN-13:‎ 978-1032842745.

This fully updated second edition provides an introduction to geotechnical earthquake engineering for first-year graduate students in geotechnical or earthquake engineering graduate programs with a level of detail that will also be useful for more advanced students as well as researchers and practitioners. It begins with an introduction to seismology and earthquake ground motions, then presents seismic hazard analysis and performance-based earthquake engineering (PBEE) principles. Dynamic soil properties pertinent to earthquake engineering applications are examined, both to facilitate understanding of soil response to seismic loads and to describe their practical measurement as part of site characterization. These topics are followed by site response and its analysis and soil–structure interaction. Ground failure in the form of soil liquefaction, cyclic softening, surface fault rupture, and seismically induced landslides are also addressed, and the book closes with a chapter on soil improvement and hazard mitigation. The first edition has been widely used around the world by geotechnical engineers as well as many seismologists and structural engineers.

The main text of this book and the four appendices: Cover fundamental concepts in applied seismology, geotechnical engineering, and structural dynamics + Contain numerous references for further reading, allowing for detailed exploration of background or more advanced material + Present worked example problems that illustrate the application of key concepts emphasized in the text + Include chapter summaries that emphasize the most important points + Present concepts of performance-based earthquake engineering with an emphasis on uncertainty and the types of probabilistic analyses needed to implement PBEE in practice + Present a broad, interdisciplinary narrative, drawing from the fields of seismology, geotechnical engineering, and structural engineering to facilitate holistic understanding of how geotechnical earthquake engineering is applied in seismic hazard and risk analyses and in seismic design
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Sunday, December 15, 2024 , ,
Lester W. Schmerr Jr. ... 432 pages - Language:‎ English - Publisher:‎ CRC Press; (March, 2024).

This text makes use of symbolic algebra and vector-matrix algebra to demonstrate a new approach to learning statics. Symbolic solutions are obtained, together with the types of solutions covered in other texts, so that students can see the advantages of this new approach.

This innovative text is an extension of second-generation vector Statics courses to a new, third-generation matrix-vector Statics course, a course that addresses deformable as well as rigid bodies and employs MATLAB®.

MATLAB® is used as a “calculator” whose built-in functions are used to solve statics problems. This text uses vectors and matrices to solve both statically determinate rigid body problems and statically indeterminate problems for deformable bodies.

The inclusion of statically indeterminate problems is unique to this text. It is made possible by using symbolic algebra and a new, simplified vector-matrix formulation that combines the equations of equilibrium, the homogeneous solutions to those equations, and a description of the flexibilities found in the deformable elements of a structure to solve directly for the unknown forces/moments.
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Saturday, October 19, 2024 , ,
Kamal I. M. Al-Malah ... 592 pages - Language: ‎English - Publisher: ‎Wiley; (October, 2023) - ISBN-10: ‎1394209088 - ISBN-13:‎ 978-1394209088.

Machine and Deep Learning Using MATLAB introduces early career professionals to the power of MATLAB to explore machine and deep learning applications by explaining the relevant MATLAB tool or app and how it is used for a given method or a collection of methods. Its properties, in terms of input and output arguments, are explained, the limitations or applicability is indicated via an accompanied text or a table, and a complete running example is shown with all needed MATLAB command prompt code. The text also presents the results, in the form of figures or tables, in parallel with the given MATLAB code, and the MATLAB written code can be later used as a template for trying to solve new cases or datasets. Throughout, the text features worked examples in each chapter for self-study with an accompanying website providing solutions and coding samples. Highlighted notes draw the attention of the user to critical points or issues.

Readers will also find information on: Numeric data acquisition and analysis in the form of applying computational algorithms to predict the numeric data patterns (clustering or unsupervised learning) + Relationships between predictors and response variable (supervised), categorically sub-divided into classification (discrete response) and regression (continuous response) + Image acquisition and analysis in the form of applying one of neural networks, and estimating net accuracy, net loss, and/or RMSE for the successive training, validation, and testing steps + Retraining and creation for image labeling, object identification, regression classification, and text recognition. Machine and Deep Learning Using MATLAB is a useful and highly comprehensive resource on the subject for professionals, advanced students, and researchers who have some familiarity with MATLAB and are situated in engineering and scientific fields, who wish to gain mastery over the software and its numerous applications.
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Saturday, October 12, 2024 ,
Pijush Samui, Sunita Kumari, Vladimir Makarov, Pradeep Kurup ... 846 pages - Publisher: ‎Academic Press; (December, 2020) - Language: ‎English.

Modeling in Geotechnical Engineering is a one stop reference for a range of computational models, the theory explaining how they work, and case studies describing how to apply them. Drawing on the expertise of contributors from a range of disciplines including geomechanics, optimization, and computational engineering, this book provides an interdisciplinary guide to this subject which is suitable for readers from a range of backgrounds.

Before tackling the computational approaches, a theoretical understanding of the physical systems is provided that helps readers to fully grasp the significance of the numerical methods. The various models are presented in detail, and advice is provided on how to select the correct model for your application.

Provides detailed descriptions of different computational modelling methods for geotechnical applications, including the finite element method, the finite difference method, and the boundary element method + Gives readers the latest advice on the use of big data analytics and artificial intelligence in geotechnical engineering + Includes case studies to help readers apply the methods described in their own work.
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Thursday, October 10, 2024 , ,
Antonio Marco ... 160 pages - Language: ‎English - Publisher: Chapman and Hall/CRC; (December, 2023).

Statistics is central in the biosciences, social sciences and other disciplines, yet many students often struggle to learn how to perform statistical tests, and to understand how and why statistical tests work. Although there are many approaches to teaching statistics, a common framework exists between them: starting with probability and distributions, then sampling from distribution and descriptive statistics and later introducing both simple and complex statistical tests, typically ending with regression analysis (linear models).

This book proposes to reverse the way statistics is taught, by starting with the introduction of linear models. Today, many statisticians know that the one unifying principle of statistical tests is that most of them are instances of linear models. This teaching method has two advantages: all statistical tests in a course can be presented under the same unifying framework, simplifying things; second, linear models can be expressed as lines over squared paper, replacing any equation with a drawing.

This book explains how and why statistics works without using a single equation, just lines and squares over grid paper. The reader will have the opportunity to work through the examples and compute sums of squares by just drawing and counting, and finally evaluating whether observed differences are statistically significant by using the tables provided. Intended for students, scientists and those with little prior knowledge of statistics, this book is for all with simple and clear examples, computations and drawings helping the reader to not only do statistical tests but also understand statistics.
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Saturday, October 05, 2024 , ,
Charles W.W. Ng, Chao Zhou, Junjun Ni ... Language: ‎English - Publisher: CRC Press; 2nd edition (October, 2024).

Unsaturated soil is a three-phase material that is ubiquitous on the Earth’s surface and exhibits complex behaviour, which becomes more complex in response to the Earth’s changing climate and increasing engineering activities. This is because the former affects its moisture and temperature conditions significantly and the latter governs its stress state and suction condition. This book is designed to meet the increasing challenges of climate change and engineering activities by covering the mechanics and engineering of unsaturated soil in a logical manner.

It comprises four major parts: Water retention and flow characteristics + Shear strength and stiffness at various temperatures + State-dependent elasto-plastic constitutive modelling + Field monitoring and engineering applications.

This second edition uniquely covers fundamental topics on unsaturated soil that are not covered in other similar books, including: the state- dependency of soil- water retention behaviour and water permeability functions, such as dependence on engineering activities + small strain stiffness considering the influence of wetting- drying cycles and recent suction history, such as that due to climate change suction effects on dilatancy and peak shear strength cyclic thermal effects on soil behaviour + state- dependent elastoplastic constitutive modelling of monotonic and cyclic behaviour + engineering applications such as the South-to-North Water Transfer Project; an earthen landfill cover system devoid of geomembrane in the Xiaping landfill, Shenzhen; and a 15-m-deep multi- propped excavation in Tianjin, China.
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Monday, September 30, 2024 , ,
Jianye Ching ... 188 pages - Language: ‎English - Publisher: CRC Press; (August, 2024).

Bayesian data analysis and modelling linked with machine learning offers a new tool for handling geotechnical data. This book presents recent advancements made by the author in the area of probabilistic geotechnical site characterization.

Two types of correlation play central roles in geotechnical site characterization: cross-correlation among soil properties and spatial-correlation in the underground space. The book starts with the introduction of Bayesian notion of probability “degree of belief”, showing that well-known probability axioms can be obtained by Boolean logic and the definition of plausibility function without the use of the notion “relative frequency”. It then reviews probability theories and useful probability models for cross-correlation and spatial correlation. Methods for Bayesian parameter estimation and prediction are also presented, and the use of these methods demonstrated with geotechnical site characterization examples.
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Saturday, September 21, 2024 , ,
Wengang Zhang, Yanmei Zhang, Runhong Zhang, Yongqin Li, Li Hong, Yuntao Yuan ... 770 pages - Language: English - Publisher: Elsevier; (May, 2024).

Design of Deep Braced Excavation in Urban Geotechnical Environments presents the design and calculation of deep braced excavation in urban geotechnical environments considering the soil characteristics of spatial variability and anisotropy, as well as excavation responses of urban adjacent utilities such as pipelines, tunnels, foundation piles and buildings. With economic development and further urbanization, excavation goes deeper, longer, and larger in scale. These conditions require advanced analysis and design methods.

The text begins with coverage of overall stability, earth pressure and strut force, retaining wall responses, and ground movements. Numerical modeling and computer codes are outlined in detail. The authors then take a close look at the design of jet grouting for deformation control, instrumentation and back analysis for excavation, and the characteristics of deep braced excavation in complex geological environment. The final chapters conclude with an examination of the determination of excavation responses of urban adjacent utilities and failure analysis based on several case histories.

This book provides the latest knowledge in both theory and practical application for geotechnical design engineers working on deep excavation problems. Presents the latest theory and knowledge surrounding deep braced excavations + Systematically outlines theory, field reports, calculations, and back analysis, making it much easier to master the work relevant with deep braced excavations + Provides detailed visual elements and hyperlinks to additional images and video for case excavations to enhance understanding.
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Sunday, September 15, 2024 , ,
Brij B. Gupta, Mamta ... 369 pages - Language: ‎English - Publisher: ‎World Scientific Publishing Company; (December, 2023).

With the proliferation of information, big data management and analysis have become an indispensable part of any system to handle such amounts of data. The amount of data generated by the multitude of interconnected devices increases exponentially, making the storage and processing of these data a real challenge.

Big data management and analytics have gained momentum in almost every industry, ranging from finance or healthcare. Big data can reveal key insights if handled and analyzed properly; it has great application potential to improve the working of any industry. This book covers the spectrum aspects of big data; from the preliminary level to specific case studies. It will help readers gain knowledge of the big data landscape.

Highlights of the topics covered include description of the Big Data ecosystem; real-world instances of big data issues; how the Vs of Big Data (volume, velocity, variety, veracity, valence, and value) affect data collection, monitoring, storage, analysis, and reporting; structural process to get value out of Big Data and recognize the differences between a standard database management system and a big data management system.

Readers will gain insights into choice of data models, data extraction, data integration to solve large data problems, data modelling using machine learning techniques, Spark's scalable machine learning techniques, modeling a big data problem into a graph database and performing scalable analytical operations over the graph and different tools and techniques for processing big data and its applications including in healthcare and finance.
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Saturday, September 07, 2024 , , ,
Jeffrey Paul Wheeler ... 474 pages - Language: English - Publisher: ‎Chapman and Hall/CRC; (December, 2023).

The primary goal of this text is a practical one. Equipping students with enough knowledge and creating an independent research platform, the author strives to prepare students for professional careers. Providing students with a marketable skill set requires topics from many areas of optimization. The initial goal of this text is to develop a marketable skill set for mathematics majors as well as for students of engineering, computer science, economics, statistics, and business. Optimization reaches into many different fields.

This text provides a balance where one is needed. Mathematics optimization books are often too heavy on theory without enough applications; texts aimed at business students are often strong on applications, but weak on math. The book represents an attempt at overcoming this imbalance for all students taking such a course.

The book contains many practical applications but also explains the mathematics behind the techniques, including stating definitions and proving theorems. Optimization techniques are at the heart of the first spam filters, are used in self-driving cars, play a great role in machine learning, and can be used in such places as determining a batting order in a Major League Baseball game. Additionally, optimization has seemingly limitless other applications in business and industry. In short, knowledge of this subject offers an individual both a very marketable skill set for a wealth of jobs as well as useful tools for research in many academic disciplines.

Many of the problems rely on using a computer. Microsoft’s Excel is most often used, as this is common in business, but Python and other languages are considered. The consideration of other programming languages permits experienced mathematics and engineering students to use MATLAB® or Mathematica, and the computer science students to write their own programs in Java or Python.
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Saturday, August 31, 2024 , ,
Tanvir Mustafy, T. Ur Rahman ... 281 pages - Language: ‎English - Publisher: ‎Springer; (January, 2024).

This textbook summarizes the different statistical, scientific, and financial data analysis methods for users ranging from a high school level to a professional level. It aims to combine the data analysis methods using three different programs—Microsoft Excel, SPSS, and MATLAB. The book combining the different data analysis tools is a unique approach. The book presents a variety of real-life problems in data analysis and machine learning, delivering the best solution. Analysis methods presented in this book include but are not limited to, performing various algebraic and trigonometric operations, regression modeling, and correlation, as well as plotting graphs and charts to represent the results. Fundamental concepts of applied statistics are also explained here, with illustrative examples. Thus, this book presents a pioneering solution to help a wide range of students, researchers, and professionals learn data processing, interpret different findings derived from the analyses,and apply them to their research or professional fields.

The book also includes worked examples of practical problems. The primary focus behind designing these examples is understanding the concepts of data analysis and how it can solve problems. The chapters include practice exercises to assist users in enhancing their skills to execute statistical analysis calculations using software instead of relying on tables for probabilities and percentiles in the present world.
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