The Nest of Students

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.

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.

Bentley Seequent GeoStudio v2024.2.1.28 [Size: 935 MB] ... GeoStudio's integrated products enable you to work across various engineering use cases. The integrated GeoStudio software suite enables you to combine multiple analyses using different products into a single modeling project. Use GeoStudio products together for an integrated modeling experience. Use this approach to model construction sequences, establish initial conditions, perform sensitivity analyses, model complex time sequences, or decompose a complex problem into several smaller, more manageable analyses. GeoStudio is an integrated software suite for modeling slope stability, ground deformation, and heat and mass transfer in soil and rock.

Overview of GEOSLOPE GeoStudio Features: GeoStudio provides many tools for defining the model domain, including coordinate import, geometric item copy-paste, length, angle feedback, region merge and split, and DWG / DXF file import. + GeoStudio runs each analysis solver in parallel, solving multiple analyses efficiently on computers with modern, multi-core processors. + GeoStudio provides powerful visualization tools, including graphing, contour plots, isolines, animations, interactive data queries, and data exports to spreadsheets for further analysis. + GeoStudio enables you to combine analyses using different products into a single modeling project, using the results from one as the starting point for another. GeoStudio Ultimate expands the capability of GeoStudio Advanced with functionality to analyse static and dynamic stress and deformation within soil or rock including coupled consolidation, finite element stress stability, and the ability to use finite element results in the limit equilibrium analysis.

QUAKE/W is a powerful finite element software product for modelling earthquake liquefaction and dynamic loading. QUAKE/W determines the motion and excess pore water pressures that arise due to earthquake shaking, blasts, or sudden impact loads. SEEP/W is a powerful finite element software product for modelling groundwater flow in porous media. SEEP/W can model simple saturated steady-state problems or sophisticated saturated/unsaturated transient analyses with atmospheric coupling at the ground surface. SIGMA/W is a powerful finite element software product for modelling stress and deformation in soil, rock, and structures. SIGMA/W analyses may range from simple linear elastic simulations to soil-structure interaction problems with nonlinear material models. SLOPE/W is the leading limit equilibrium slope stability software for soil and rock slopes, analysing both simple and complex problems for a variety of slip surface shapes, pore water pressure conditions, soil properties, and loading conditions.

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.

Plaxis 2D and 3D 2024 (v24.02.00.1144) (Size: 4.0 GB) ... The PLAXIS development team is pleased to announce the availability of PLAXIS 2D and 3D 2024. Perform advanced finite element or limit equilibrium analysis of soil and rock deformation and stability, as well as soil structure interaction, groundwater, and heat flow.

The latest releases of PLAXIS marks our definitive transition to becoming part of Seequent, The Bentley Subsurface Company, with some minor cosmetic changes and a change to the version numbering. Benefit from workflow enhancements for rock and mining engineers, a new material model and SoilTest options for users working with unsaturated soils. PLAXIS 2D enters the world of subsurface digital twins and PLAXIS Monopile Designer users can improve their designs with additional design criteria. PLAXIS 2D is a powerful and user friendly finite element package intended for two-dimensional analysis of deformation and stability in geotechnical engineering and rock mechanics. PLAXIS is used worldwide by top engineering companies and institutions in the civil and geotechnical engineering industry. Applications range from excavations, embankment and foundations to tunnelling, mining and reservoir geomechanics. PLAXIS is equipped with a broad range of advanced features to model a diverse range of geotechnical problems, all from within a single integrated software package. PLAXIS uses predefined structural elements and loading types in a CAD-like environment. This empowers the user with fast and efficient model creation, allowing more time to interpret the results.

Plaxis 3D is a software for analyzing the finite element stability and soil transformation in geotechnical engineering. The program, with its many features, fully analyzes geotechnical structures from different angles, and this analysis is based on the scientific and theoretical foundations that the researchers of this scientific branch have achieved. Plaxis 3D Foundation defines complex structures consisting of artificial structures and soil in separation modes, and separate work is possible on each mode. This user-friendly product is designed to be highly flexible in modeling and simulation, has a powerful processing core, and performs post-processing processes well. With its various features, this program is one of the best in the field of geotechnical engineering. plaxis is a company that specializes in geotechnical software and in addition to software, conferences and research seminars around the world. The banking software is based on a finite element analysis method that is used effectively in two-dimensional and three-dimensional products. The seminars held by Plexiglas are not about the software software training, but about the transfer of engineering knowledge among the members. Both to improve the quality of their products and to transfer the technical knowledge and achievements of the day among the researchers in this field.

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.

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.