الصفحة 9
الصفحة 9
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Concrete Structures : Design and Residual Capacity Assessment

Based primarily on Eurocode 2, this book offers a comprehensive exploration of theory alongside a substantial collection of solved examples. Intended for students and professionals specializing in structural engineering, the content delves into the fundamental aspects of designing and evaluating concrete structures. Discover a unique focus on both theoretical and practical aspects, empowering engineers to unearth solutions that minimize steel usage.

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Concrete segmental bridges : Theory, design, and construction to AASHTO LRFD specifications

Presents comprehensive theory, design and key construction methods, with a simple design example based on the AASHTO LRFD Design Specifications for each of the main bridge types. It outlines design techniques and relationships between analytical methods, specifications, theory, design, construction and practice. It combines mathematics and engineering mechanics with the authors’ design and teaching experience.

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Concrete permeability and durability performance: from theory to field applications

Durability and service life design of concrete constructions have considerable socio-economic and environmental consequences, in which the permeability of concrete to aggressive intruders plays a vital role.Concrete Permeability and Durability Performance provides deep insight into the permeability of concrete, moving from theory to practice, and presents over 20 real cases.

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Concrete materials and technology : A practical guide

Demands an underlying knowledge of concrete fundamentals as well as its constituent materials, and in various formulations. Starting with the basics, Concrete Materials and Technology: A Practical Guide examines the production and chemistry of cement, as well as the different types and their applications. Quality control processes and numerous methods for testing are presented and explained in detail.

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Concrete gravity and arch dams on rock foundation

Presents and analyzes the designs of erected concrete dams, which allows for a better understanding of the approaches and decision-making principles for designing dams, taking into account the specifics of natural, construction, and other conditions, and also analyzes a number of new solutions that reflect the various ways that engineering theory and practice has sought further improvement of concrete dams.

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Computer-Aided Highway Engineering

Aimed at developing professional knowledge in the field of highway engineering with adequate skills in planning, designing and implementation of the highway project with an exposure of hands on training of computer software in designing the worldwide road infrastructures. It discusses Digital Terrain Model (DTM) using satellite data including highway geometric, pavement and tunnel design, supported by relevant tutorials. Quantity estimation, cost estimation and production of various types of construction drawings are described in detail with theory and tutorials backed by real project data. Recognizes the role of information and computer technology in various aspects of highway design. Reviews different tasks for feasibility studies and DPR with software applications. Explores topographic survey, Digital Terrain Model (DTM) and highway geometrics and, pavement and drainage design. Discusses project estimations for various revisions of the engineering work. Includes HEADS Pro along with chapter wise tutorials containing design and field data, tutorial guides and various tutorial videos.

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Computational Modelling of Concrete and Concrete Structures

Serves as an important reference for both academics and professionals, stimulating new research directions in the field of computational modelling of concrete and its application to the analysis of concrete structures.

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Coded Leadership : Developing Scalable Management in an AI-induced Quantum World

Introduces the necessary background to understand the challenges in today’s organizational leadership and how artificial intelligence enables learning to be viewed from a probabilistic framework. Introduction to Quantum Natural Language Processing. Overview of Leadership and AI. The Age of Quantum Superiority. Challenges to Today’s Leadership. AI-induced Strategic Implementation and Organizational Performance.

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Cloud Computing Enabled Big-Data Analytics in Wireless Ad-hoc Networks

Discusses intelligent computing through the Internet of Things (IoT) and Big-Data in vehicular environments in a single volume. It covers important topics, such as topology-based routing protocols, heterogeneous wireless networks, security risks, software-defined vehicular ad-hoc networks, vehicular delay tolerant networks, and energy harvesting for WSNs using rectenna.

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Mathematical Modeling of Concrete Mixture Proportioning

It puts together an understanding of the appropriate principles of ensuring performance and sustainability of concrete. Broadly subdivided into three parts, first part contains the fundamental aspects introducing the constituent materials, the concepts of concrete mixture designs and the mathematical formulations of the various parameters involved in these designs. The second part is dedicated to discussing approaches and recommendations of American, British and European bodies related to mathematical modelling. Lastly, it discusses perceptions and prescriptions towards both the performance assessment and insurance of the resulting concrete compositions.

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Materials for medical applications : Principles and practices

Discusses advanced knowledge about the synthesis and application of materials in the medical field for diagnostic and therapeutic conditions. These materials have been extensively used in various biological and medical applications, especially in drug delivery, tumor screening, bioimaging, diagnosis, and therapies. Materials for Medical Applications provides comprehensive but concise information about materials and their medical applications. The readers will get information about the trends in materials and their medical applications, as well as current material-based products that are used in the medical field. The book also discusses how materials are tested in research laboratories, preclinical (animal) trials, and clinical (human) trials, and how material-based products go through various regulatory and safety phases before reaching patients. It also discusses topics such as materials delivery, imaging, and treatments for various diseases. It includes a chapter dedicated to regulatory guidelines and policies in the application of nanomaterials and will include current clinical trial information on the materials. Finally, the book has topics such as health safety, toxicity, dosages, and long-term implications of materials.

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Material Modeling in Finite Element Analysis

Presents some specific problems including the metal-forming process, combustion room, Mullins effect of rubber tires, viscoelasticity of liver soft tissues, small punch test, tunnel excavation, slope stability, concrete slump test, orthodontic wire, and piezoelectric microaccelerometer.

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Marketing analytics : A machine learning approach

Gives a comprehensive overview of marketing analytics, incorporating machine learning methods of data analysis that automates analytical model building. The volume covers the important aspects of marketing analytics, including segmentation and targeting analysis, statistics for marketing, marketing metrics, consumer buying behavior, neuromarketing techniques for consumer analytics, new product development, forecasting sales and price, web and social media analytics, and much more.

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Managing the Digital Transformation : Aligning Technologies, Business Models, and Operations

Provides the key technologies involved in an organization’s digital transformation. It offers a deep understanding of the key technologies (Blockchain, AI, Big Data, IoT, etc.) involved and details the impact, the decision-making process, and the interplay between technologies, business models, and operations.

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Managing Business Projects : The Essentials

Strong emphasis is placed on things that happen before, around, and after the project itself. So, while the basic disciplines like engaging with stakeholders, managing scope, schedules, costs, risks, issues, changes, and communication, are thoroughly explained, other important aspects are covered. These include: governance of a project and of a portfolio of projects, project selection with its financial and non-financial aspects, effective use of the business case through to benefits realization, procurement, outsourcing and partnership, and also the agile mindset that is valuable beyond Agile projects.

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Making with data : Physical design and craft in a data-driven world

Making with Data: Physical Design and Craft in a Data-Driven World provides a snapshot of the diverse practices contemporary creators are using to produce objects, spaces, and experiences imbued with data. Across 25+ beautifully-illustrated chapters, international artists, designers, and scientists each explain the process of creating a specific data-driven piece—illustrating their practice with candid sketches, photos, and design artifacts from their own studios. Featuring influential voices in computer science, data science, graphic design, art, craft, and architecture, Making with Data is accessible and inspiring for enthusiasts and experts alike.

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Maintenance, safety, risk, management and life-cycle performance of bridges ; Proceedings of the ninth international conference on bridge maintenance, safety and management (IABMAS 2018), 9-13 July 2018, Melbourne, Australia

Provides both an up-to-date overview of the field of bridge engineering and significant contributions to the process of more rational decision-making on bridge maintenance, safety, risk, management and life-cycle performance of bridges for the purpose of enhancing the welfare of society. The Editors hope that these Proceedings will serve as a valuable reference to all concerned with bridge structure and infrastructure systems, including students, researchers and engineers from all areas of bridge engineering.

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Maintenance of brick and stone masonry structures

Deals with all the tasks related to brick and stone masonry structures, from the initial identification of defects and their diagnosis to their treatment and monitoring of its cost-effectiveness.

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Machine learning in healthcare : Fundamentals and recent applications

Discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. Healthcare applications of AI are innumerable: medical data analysis, early detection and diagnosis of disease, providing objective-based evidence to reduce human errors, curtailing inter- and intra-observer errors, risk identification and interventions for healthcare management, real-time health monitoring, assisting clinicians and patients for selecting appropriate medications, and evaluating drug responses. Extensive demonstrations and discussion on the various principles of machine learning and its application in healthcare is provided, along with solved examples and exercises.

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Machine learning for neurodegenerative disorders : advancements and applications

Explores the application of machine learning to the understanding, early diagnosis, and management of neurodegenerative disorders. With a specific focus on its role in ongoing clinical trials, the book covers essential topics such as data collection, pre-processing, feature extraction, model development, and validation techniques. It delves into the applications of neuroimaging techniques like magnetic resonance imaging (MRI), computed tomography (CT), and positron emission tomography (PET) in the diagnosis and understanding of neurodegenerative disorders. Additionally, the book examines various machine-learning algorithms employed for biomarker discovery in neurodegenerative disorders. It highlights the role of neuroinformatics and big data analysis in advancing the understanding and management of neurodegenerative disorders. Furthermore, the book reviews future prospects and presents the ethical considerations and regulatory challenges associated with implementing machine learning approaches in the diagnosis, treatment, and prevention of neurodegenerative disorders.

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