الصفحة 7
الصفحة 7
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Advanced Nanomaterials

Covers synthesis, characterization, and applications of diverse types of nanomaterials. Specifically, it describes carbon, graphene, and graphene oxide-based nanomaterials and their use for environmental remediation. Nanomaterials for concrete coating applications and advances in the processing of high-entropy alloys by means of mechanical alloying are also covered. Subsequently, the use of nanomaterials in endodontics and the use of nanotechnology strategies to enhance restorative resin-based dental nanomaterials are reported.

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Advanced bioceramics : Properties, processing, and applications

Offers a comprehensive view of properties and processing of bioceramics. Highlights applications in dentistry, orthopaedic and maxillofacial implants, and regenerative and tissue engineering. Covers ISO/ASTM specifications such as processing, clinical applications, recycling/reuse and disposal standards.

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3D Printing in Oral Health Science : Applications and Future Directions

Equips readers with a sound understanding of contemporary clinical applications in all fields of dentistry and their future directions. In the last few years, the development of 3D printing for medical and dental applications has increased tremendously. Advancements in 3D printing create the possibility of customized products, savings on small-scale productions, ease of sharing and processing of patient image data, and educational up-gradation. Looking at the dental specialties, it is evident that 3D printing has applications in all aspects of oral health science including prosthodontics, oral surgery, periodontics, endodontics, and orthodontics. This book will cover all major fields in dentistry and will help the practitioner in the process of decision-making and apply concepts in clinical or laboratory practice. It is based on current scientific evidence to provide readers with an up-to-date contemporary underst

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3D imaging in endodontics : A new era in diagnosis and treatment

Provides readers with a full understanding of the role of cone beam computed tomography (CBCT) in helping to solve many of the most challenging problems in endodontics. It will shorten the learning curve in application of this exciting imaging technique in a variety of contexts: difficult diagnostic cases, treatment planning, evaluation of internal tooth anatomy prior to root canal therapy, nonsurgical and surgical treatments, early detection and treatment of resorptive defects, and outcomes assessment.

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Materials & sustainability building a circular future

Examines sustainable manufacturing, from the extraction of materials to processing, use, and disposal, and argues that significant changes in all of the above are needed for the world to progress toward a more circular economy. Materials and processing methods are usually chosen with performance as the key metric.

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Machine learning for civil and environmental engineers : A practical approach to data-driven analysis, explainability, and causality

Introduces engineers and engineering students to the applications of artificial intelligence (AI), machine learning (ML), and machine intelligence (MI) in relation to civil and environmental engineering projects and problems, presenting state-of-the-art methodologies and techniques to develop and implement algorithms in the engineering domain.

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Machine Learning Applications in Civil Engineering

Discusses machine learning and deep learning models for different civil engineering applications. These models work for stochastic methods wherein internal processing is done using randomized prototypes. The book explains various machine learning model designs that will assist researchers to design multi domain systems with maximum efficiency. It introduces Machine Learning and its applications to different Civil Engineering tasks, including Basic Machine Learning Models for data pre-processing, models for data representation, classification models for Civil Engineering Applications, Bioinspired Computing models for Civil Engineering, and their case studies.

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Assessing Recent Soil Erosion Rates through the Use of Beryllium-7 (Be-7)

This book is the first comprehensive guideline for the beryllium-7 (Be-7) technique that can be applied to evaluate short-term patterns and budgets of soil redistribution in agricultural landscapes. While covering the fundamental and basic concepts of the approach, this book distinguishes itself from other publications by offering step-by-step instructions on how to use this isotopic technique effectively. It covers experimental design considerations and clear instruction is given on data processing. As accurate laboratory measurement is crucial to ensure successful use of Be-7 to investigate soil erosion, a full chapter is devoted to its specific determination by gamma spectrometry.

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Artificial intelligence and machine learning techniques for civil engineering

Offers state-of-the-art contributions in the area of AI and its applications in the field of civil engineering presenting methods and implementation of AI and machine learning in multiple facets of civil engineering

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Application of numerical methods in engineering problems using MATLAB

Presents an analysis of structures using numerical methods and mathematical modeling. This structural analysis also includes beam, plate, and pipe elements, and examines deflection and frequency or buckling loads. The various engineering theories of beams/plates/shells are comprehensively presented, and the relationships between stress and strain, and the governing equations of the structure are extracted. To solve governing equations with numerical methods, there are two general types, including methods based on derivatives or integrals. Derivative-based methods have the advantage of flexibility in modeling boundary conditions, low analysis time, and a very high degree of accuracy.

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An introduction to cable roof structures ; 2nd ed.

Provides structural engineers with a concise introduction to the architectural, structural and technological aspects of cable roofs, and supplies sufficient information for engineers to carry out their own designs. The improved methods for generating wind and earthquake histories have been included as the trend in modern design codes seem increasingly to require that dynamic response of other forms of non-linear structures such as guyed masts is considered at the design stage.

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Advances in Control, Signal Processing and Energy Systems : Select Proceedings of CSPES 2018

Covers topics on both theoretical control systems and their applications across engineering domains such as automatic control, robotics, and adaptive controller design. It discusses several signal processing domains such as image, speech, biomedical signal processing and their applications in IOT, control, robotics, power and energy systems. The book emphasizes both conventional and non-conventional energy, environment, and green processes as related to energy and power systems engineering.

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Active Rheology Control of Cementitious Materials

The research presented here develops a new method of actively controlling the rheology of fresh concrete during casting operations by incorporating specially designed responsive components. This results in real-time changes to the rheological behaviour of the cementitious material, allowing the user to intervene actively after the cementitious material has left the mixing phase. This newly gained agility contributes to increased processing speed and placement reliability in the case of traditional casting methods and can also facilitate advanced 3D concrete printing. The different routes followed to achieve this Active Rheology Control are explained within.

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Marketing metrics : Leverage analytics and data to optimize marketing strategies

Featuring examples from a range of organizations including Coca-Cola and Mercedes-Benz, it shows how to create a strategy which leverages consumer data for customer-centric marketing, establishes the ROI of channels and campaigns, strengthens brands and creates data-driven product strategies. Covering the range of new global laws that impact consumer privacy and data collection and usage, Marketing Metrics shows how to use data in a non-invasive, secure and ethical way.

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Bio-inspired credit risk analysis : Computational intelligence with support vector machines

Credit risk analysis is one of the most important topics in the field of financial risk management. Due to recent financial crises and regulatory concern of Basel II, credit risk analysis has been the major focus of financial and banking industry. Especially for some credit-granting institutions such as commercial banks and credit companies, the ability to discriminate good customers from bad ones is crucial. The need for reliable quantitative models that predict defaults accurately is imperative so that the interested parties can take either preventive or corrective action. Hence credit risk analysis becomes very important for sustainability and profit of enterprises. In such backgrounds, this book tries to integrate recent emerging support vector machines and other computational intelligence techniques that replicate the principles of bio-inspired information processing to create some innovative methodologies for credit risk analysis and to provide decision support information for interested parties.

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Big Data Science in Finance

Explains the mathematics, theory, and methods of Big Data as applied to finance and investing Examines the mathematics, theory, and practical use of the revolutionary techniques that are transforming the industry. Designed for mathematically-advanced students and discerning financial practitioners alike, this energizing book presents new, cutting-edge content based on world-class research taught in the leading Financial Mathematics and Engineering programs in the world. Marco Avellaneda, a leader in quantitative finance, and quantitative methodology author Irene Aldridge help readers harness the power of Big Data. Provides a complete account of Big Data that includes proofs, step-by-step applications, and code samples Explains the difference between Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) Covers vital topics in the field in a clear, straightforward manner Compares, contrasts, and discusses Big Data and Small Data Includes Cornell University-tested educational materials such as lesson plans, end-of-chapter questions, and downloadable lecture slides

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Artificial intelligence for marketing management

Artificial intelligence (AI) has driven businesses to adopt new business practices rapidly, enhance product development and services, has helped to power AI-based market intelligence and customer insights, and improve customer relationship management. This timely book addresses the use of AI in marketing.

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Artificial intelligence for business : A roadmap for getting started with AI

Artificial Intelligence for Business: A Roadmap for Getting Started with AI will provide the reader with an easy to understand roadmap for how to take an organization through the adoption of AI technology. It will first help with the identification of which business problems and opportunities are right for AI and how to prioritize them to maximize the likelihood of success. Specific methodologies are introduced to help with finding critical training data within an organization and how to fill data gaps if they exist.

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Agricultural value chains in India : Ensuring competitiveness, inclusiveness, sustainability, scalability, and improved finance

This book provides a clear holistic conceptual framework of CISS-F (competitiveness, inclusiveness, sustainability, scalability and access to finance) to analyse the efficiency of value chains of high value agricultural commodities in India. It is based on the understanding that agriculture is an integrated system that connects farming with logistics, processing and marketing. Farmer’s welfare being central to any agricultural policy makes it very pertinent to study how a value chain works and can be strengthened further to realize this policy goal.

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Advanced Trends in ICT for Innovative Business Management

Contains a collection of scientific chapters addressing the emerging trends in IT and telecommunications, as well as the issues that accompany them in business. It addresses issues in cyber applications, ICT solutions and innovative cyber know-how, and demonstrates how high-tech IT communications resources can be used to improve business production, sales and service strategies, supply chains and logistics.

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