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5D Building Information Modeling : Data–Driven Construction Supply Chain Integration
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Computational Modeling and Simulation of Advanced Wireless Communication Systems
The book covers the exploitation of computational models for effectively developing and managing large-scale wireless communication systems.The goal is to create and establish computational models for seamless human interaction and efficient decision-making in beyond 5G wireless systems. Computational Modeling and Simulation of Advanced Wireless Communication Systems looks to create and establish computational models for seamless human interaction and efficient decision-making in the beyond 5G wireless systems.This book presents the design and development of several computational modeling techniques and their applications in wireless communication systems.It examines shortcomings and limitations of the existing computational models and offers solutions to revamp the traditional architecture toward addressing the vast network issues in wireless systems.The book addresses the need to design efficient computational and simulation models to address several issues in wireless communication systems, such as interference, pathloss, delay, traffic outage, and so forth.It discusses how theoretical, mathematical, and experimental results are integrated for optimal system performance to enhance the quality of service for mobile subscribers. Further, the book is intended for industry and academic researchers, scientists, and engineers in the fields of wireless communications and ICTs.It is structured to present a practical guide to wireless communication engineers, IT practitioners, researchers, students, and other professionals.
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Computational and Network Modeling of Neuroimaging Data
Computational and Network Modeling of Neuroimaging Data provides an authoritative and comprehensive overview of the many diverse modeling approaches that have been fruitfully applied to neuroimaging data.As neuroimaging is witnessing a massive increase in the quality and quantity of data being acquired, this book gives an accessible foundation to the field of computational neuroimaging, suitable for graduate students, academic researchers, and industry practitioners who are interested in adopting or applying model-based approaches in neuroimaging. It is widely recognized that effective interpretation and extraction of information from complex data requires quantitative modeling.However, modeling the brain comes in many diverse forms, with different research communities tackling different brain systems, different spatial and temporal scales, and different aspects of brain structure and function.This book takes a critical step towards synthesizing and integrating across different modeling approaches.
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Communication Systems Modeling and Simulation using MATLAB and Simulink
This is probably the first book that employs the technique of simulation experiments as a means of reinforcing the basic concepts of communication theory.Undergraduate students are generally exposed to a mathematically rigorous treatment of communications theory but seldom have the benefit of a practical-orientated approach employing modelling and simulation for a thorough assimilation of the subject.This book can supplement any standard textbook to cover this significant lacuna in the existing learning methodology.It uses MATLAB®, the language of the technical computing fraternity, for the purpose.The introductory chapters provide an overview of computer simulation and MATLAB programming concepts.Thereafter, communications concepts are presented in the traditional manner but followed up with appropriate simulations in MATLAB/Simulink®.Relevant MATLAB source code is given whenever it is used to illustrate a point.All the source code given in the text has been tested on MATLAB kernel version 7.10 (Release R2010a) and is provided in the accompanying CD.
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What is modeling?
Modeling is the process of creating a simplified representation of a real-world system in order to understand, analyze, and make predictions about its behavior. It involves using mathematical, statistical, or computational techniques to capture the essential features of the system and simulate its dynamics. Models can be used in various fields such as science, engineering, economics, and social sciences to study complex phenomena and make informed decisions. The goal of modeling is to gain insights into the underlying mechanisms of a system and to test different scenarios or hypotheses.
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Is modeling clay waterproof?
Modeling clay is not inherently waterproof, as it is typically made from water-based materials such as clay, water, and other additives. However, some modeling clays may become water-resistant or waterproof after they have been baked or cured. It is important to check the specific instructions and properties of the modeling clay you are using to determine its waterproof capabilities. If waterproofing is necessary, a sealant or waterproofing spray can be applied to the finished clay project.
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What is teenage modeling?
Teenage modeling refers to the practice of young individuals, typically between the ages of 13 to 19, modeling clothing, accessories, or other products for various fashion brands, magazines, or advertisements. Teenage models are often scouted for their youthful appearance and ability to appeal to a younger demographic. This type of modeling can provide teenagers with opportunities to gain experience in the fashion industry, build their portfolios, and potentially launch a career in modeling. However, it is important for teenagers involved in modeling to have proper support and guidance to ensure their well-being and safety.
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Is the modeling agency reputable?
It is difficult to determine the reputation of the modeling agency without more specific information. Factors to consider when evaluating the reputation of a modeling agency include their track record of successful placements, the treatment of their models, and any reviews or feedback from previous clients and models. It is important to conduct thorough research and possibly seek out personal recommendations before making a decision about working with a modeling agency.
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Magnetic modeling clay 1 magnetic modeling clay
This is a toy that will interest young and old. It's an amazing magnetic dough that can stretch, bounce and mold at the same time. She looks like playdough. Give it as a gift to a loved one who is often stre* Magnetic * Kneads, stretches and bounces * Paste color : random * Dimensions of the round box : 8 x 8 x 2.5 cm * Recommended minimum age : 12 years * Do not ingest Functions : magnetic paste Contents : 1 metal box, 1 magnetic modeling clay* Magnetic * Kneads, stretches and bounces * Paste color : random * Dimensions of the round box : 8 x 8 x 2.5 cm * Recommended minimum age : 12 years * Do not ingest Functions : magnetic paste Contents : 1 metal box, 1 magnetic modeling clay
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Black Microwave Oven Intelligent Household Light Wave Mini Flat Roaster Integration Exquisite Modeling
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Innovative Data Integration and Conceptual Space Modeling for COVID, Cancer, and Cardiac Care
In recent years, scientific research and translation medicine have placed increased emphasis on computational methodology and data curation across many disciplines, both to advance underlying science and to instantiate precision-medicine protocols in the lab and in clinical practice.The nexus of concerns related to oncology, cardiology, and virology (SARS-CoV-2) presents a fortuitous context within which to examine the theory and practice of biomedical data curation. Innovative Data Integration and Conceptual Space Modeling for COVID, Cancer, and Cardiac Care argues that a well-rounded approach to data modeling should optimally embrace multiple perspectives inasmuch as data-modeling is neither a purely formal nor a purely conceptual discipline, but rather a hybrid of both.On the one hand, data models are designed for use by computer software components, and are, consequently, constrained by the mechanistic demands of software environments; data modeling strategies must accept the formal rigors imposed by unambiguous data-sharing and query-evaluation logic.In particular, data models are not well-suited for software-level deployment if such models do not translate seamlessly to clear strategies for querying data and ensuring data integrity as information is moved across multiple points.On the other hand, data modeling is, likewise, constrained by human conceptual tendencies, because the information which is managed by databases and data networks is ultimately intended to be visualized/utilized by humans as the end-user. Thus, at the intersection of both formal and humanistic methodology, data modeling takes on elements of both logico-mathematical frameworks (e.g., type systems and graph theory) and conceptual/philosophical paradigms (e.g., linguistics and cognitive science).The authors embrace this two-sided aspect of data models by seeking non-reductionistic points of convergence between formal and humanistic/conceptual viewpoints, and by leveraging biomedical contexts (viz., COVID, Cancer, and Cardiac Care) so as to provide motivating examples and case-studies in this volume.
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Multilevel Modeling
Multilevel Modeling is a concise, practical guide to building models for multilevel and longitudinal data.Author Douglas A. Luke begins by providing a rationale for multilevel models; outlines the basic approach to estimating and evaluating a two-level model; discusses the major extensions to mixed-effects models; and provides advice for where to go for instruction in more advanced techniques.Rich with examples, the Second Edition expands coverage of longitudinal methods, diagnostic procedures, models of counts (Poisson), power analysis, cross-classified models, and adds a new section added on presenting modeling results.A website for the book includes the data and the statistical code (both R and Stata) used for all of the presented analyses.
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How difficult is 3D modeling?
3D modeling can be challenging for beginners due to the technical skills and software knowledge required. It involves understanding complex tools and techniques to create realistic and detailed 3D models. However, with practice, dedication, and patience, individuals can improve their skills and create impressive 3D models. There are also various resources available online, such as tutorials and courses, to help individuals learn and master 3D modeling.
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When should one start modeling?
One should start modeling when they are physically and mentally prepared for the demands of the industry. This typically means being at least 16 years old, as most agencies require models to be at least this age. It is also important to have a strong sense of self-confidence and a healthy body image before pursuing a career in modeling. Ultimately, the right time to start modeling will vary for each individual based on their personal readiness and goals.
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What is a toenail modeling?
Toenail modeling is a type of nail art that involves creating intricate designs and patterns on the toenails using nail polish, nail art tools, and sometimes even small embellishments like rhinestones or stickers. It is a popular way to add a unique and creative touch to your pedicure, allowing you to express your personal style and creativity through your nail art. Toenail modeling can range from simple designs like stripes or polka dots to more elaborate and detailed designs like floral patterns or geometric shapes.
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Who has experience in modeling?
Individuals who have worked as professional models, participated in fashion shows, photo shoots, or have been represented by modeling agencies typically have experience in modeling. They have developed skills in posing, walking on the runway, and understanding how to work with photographers and stylists. Additionally, those who have received formal training or attended modeling schools may also have experience in modeling techniques and industry standards.
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