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EnSoft Suite 2024.03 [Size: 801 MB]: Developing and applying software solutions to complex engineering problems ... LPILE - Analyze response of piles and shafts in multi-layered soil media. + APILE - Analyze the axial capacity of driven piles in mutli-layered soils. + GROUP - Analyze response of pile groups in multi-layered soil media. + PYWall - Analyze flexible retaining walls in layered soils. + SHAFT - Study the response of drilled shafts under axial loading. + TZPILE - Analyze load-settlement relationships of vertically loaded piles with downdrag. + EnFEM - 2D finite element analysis with ability to perform soil-structure interaction and stage construction. + EnCPT - Process raw CPT data, generating and exporting soil layering and properties to LPILE. + DynaN - Determine the dynamic response of shallow and deep foundations. + DynaPile - Analyze the dynamic response of pile groups in horizontally layered elastic media. + DynaMat - Analyze the dynamic response of mat foundations under dynamic loading. + GeoMat - Analyze mat or structural slabs supported on soil media. + SETOFF - Software for computing foundation settlement. + STABLPRO - Software for computing the slope stability.

Contents: APILE 2023.10.5, APILE Offshore 2023.10.5, DynaMat 2018.3.2, DYNA-N v3.0.15, DynaPile 2016.3.2, EnCPT 2019.1.5, EnFEM 2019.1.1, GeoMat 2022.3.1, Group 2022.12.6, LPile 2022.12.10, PYWall 2022.7.7, SETOFF 2020.4.3, SHAFT 2023.9.3, StablPro 2015.4.5, TZPILE 2021.4.3.

Kameron Hussain; Frahaan Hussain ... 220 pages - Publisher: Independently Published; (January, 2024) - Language: English.


Dive into the world of MATLAB with "Mastering MATLAB: A Comprehensive Journey Through Coding and Analysis," a definitive guide designed for both beginners and experienced users. This book serves as an invaluable resource for engineers, scientists, and anyone interested in harnessing the power of MATLAB for numerical computation, data analysis, and algorithm development. Starting with the basics, the book introduces you to the MATLAB environment, guiding you through its user-friendly interface and powerful tools. You'll learn to write clean, efficient MATLAB code, with a focus on understanding syntax, functions, and the extensive libraries available. Each chapter builds upon the last, ensuring a gradual and solid grasp of concepts.

"Mastering MATLAB" is more than just a programming guide; it's a practical handbook for real-world applications. Delve into chapters dedicated to data visualization, matrix manipulations, and statistical analysis, all crucial for data-driven projects. You'll encounter detailed examples and exercises that demonstrate how MATLAB can solve complex problems in engineering, science, and mathematics. For advanced readers, the book delves into sophisticated topics such as GUI development, machine learning applications, and integrating MATLAB with other programming languages. This section is particularly beneficial for professionals seeking to elevate their coding prowess and integrate MATLAB into their workflow for more efficient problem-solving and research.

Every concept is explained in-depth, accompanied by illustrative examples, making complex ideas accessible. Whether you're a student needing a comprehensive academic resource, a professional aiming to enhance your technical skillset, or a hobbyist eager to explore computational mathematics, "Mastering MATLAB" is your go-to guide. Embrace the journey of mastering MATLAB and unlock a world of possibilities in coding and analysis.

Patanjali Kashyap ... 674 pages - Language: ‎English - Publisher: ‎Apress; 2nd edition (December, 2023).

This new and updated edition takes you through the details of machine learning to give you an understanding of cognitive computing, IoT, big data, AI, quantum computing, and more. The book explains how machine learning techniques are used to solve fundamental and complex societal and industry problems.This second edition builds upon the foundation of the first book, revises all of the chapters, and updates the research, case studies, and practical examples to bring the book up to date with changes that have occurred in machine learning. A new chapter on quantum computers and machine learning is included to prepare you for future challenges. Insights for decision makers will help you understand machine learning and associated technologies and make efficient, reliable, smart, and efficient business decisions. All aspects of machine learning are covered, ranging from algorithms to industry applications. Wherever possible, required practical guidelines and best practices related to machine learning and associated technologies are discussed. Also covered in this edition are hot-button topics such as ChatGPT, superposition, quantum machine learning, and reinforcement learning from human feedback (RLHF) technology. Upon completing this book, you will understand machine learning, IoT, and cognitive computing and be prepared to cope with future challenges related to machine learning.

What You Will Learn? Master the essentials of machine learning, AI, cloud, and the cognitive computing technology stack + Understand business and enterprise decision-making using machine learning + Become familiar with machine learning best practices + Gain knowledge of quantum computing and quantum machine learning.

Santo Banerjee, A. Gowrisankar, Komandla Mahipal Reddy ... 100 pages - Language:‎ English - Publisher: ‎Springer; (January, 2024).

This book presents the iterative beauty of fractals and fractal functions graphically with the aid of MATLAB programming. The fractal images generated using the MATLAB codes provide visual delight and highly encourage the fractal lovers for creative thinking. The book compiles five cutting-edge research chapters, each with state-of-the art fractal illustrations. It starts with the fundamental theory for the construction of fractal sets via the deterministic iteration algorithm. Incorporating the theoretical base, fractal illustrations of elementary fractal sets are provided with the explicit MATLAB code. The book gives examples of MATLAB codes to present the fractal surfaces.

This book is contributed to all the research beginners as well as the professionals on the field of fractal analysis. As it covers basic fractals like Sierpinski triangle to advanced fractal functions with explicit MATLAB code, the presented fractal illustrations hopefully benefit even the non-field readers. The book is a useful course to all the research beginners on the fractal and fractal-related fields.

Anitha S. Pillai, Roberto Tedesco ... 245 pages - Language: ‎English - Publisher: ‎CRC Press; (October, 2023).

Natural Language Processing (NLP) is a sub-field of Artificial Intelligence, linguistics, and computer science and is concerned with the generation, recognition, and understanding of human languages, both written and spoken. NLP systems examine the grammatical structure of sentences as well as the specific meanings of words, and then they utilize algorithms to extract meaning and produce results. Machine Learning and Deep Learning in Natural Language Processing aims at providing a review of current Neural Network techniques in the NLP field, in particular about Conversational Agents (chatbots), Text-to-Speech, management of non-literal content – like emotions, but also satirical expressions – and applications in the healthcare field.

NLP has the potential to be a disruptive technology in various healthcare fields, but so far little attention has been devoted to that goal. This book aims at providing some examples of NLP techniques that can, for example, restore speech, detect Parkinson’s disease, or help psychotherapists. This book is intended for a wide audience. Beginners will find useful chapters providing a general introduction to NLP techniques, while experienced professionals will appreciate the chapters about advanced management of emotion, empathy, and non-literal content.

Jie Zhang, Te Xiao, Jian Ji, Peng Zeng, Zijun Cao - 326 pages - Language: English - Publisher: Springer; (September, 2023).

This textbook systematically introduces the theories, methods, and algorithms for geotechnical reliability analysis. There are a lot of illustrative examples in the textbook such that readers can easily grasp the concepts and theories related to geotechnical reliability analysis. A unique feature of the textbook is that computer codes are also provided through carefully designed examples such that the methods and the algorithms described in the textbook can be easily understood. In addition, the computer codes are flexible and can be conveniently extended to analyze different types of realistic problems with little additional efforts.

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