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Industrial Strategies and Solutions for 3D Printing : Applications and Optimization
INDUSTRIAL STRATEGIES AND SOLUTIONS FOR 3D PRINTING Multidisciplinary, up-to-date reference on 3D printing from A to Z, including material selection, in-process monitoring, process optimization, and machine learning Industrial Strategies and Solutions for 3D Printing: Applications and Optimization offers a comprehensive overview of the 3D printing process, covering relevant materials, control factors, cutting-edge concepts, and applications across various industries such as architecture, engineering, medical, jewelry, footwear, and industrial design. While many published books and review papers have explored various aspects of 3D printing, they often approach the topic from a specific perspective.This book instead views 3D printing as a multidisciplinary field, extending beyond its rapid growth into emerging areas like data science and artificial intelligence. Written by three highly qualified academics with significant research experience in related fields, Industrial Strategies and Solutions for 3D Printing: Applications and Optimization includes information on: Role of various 3D printing features in optimization and how machine learning can be used to further enhance optimization processes Specific optimization techniques including physico-chemical, mechanical, thermal, and rheological characteristics Steps for transitioning of 3D printing from the laboratory scale to industrial applications in fields such as biology, turbomachinery, automotive, and aerospace Challenges related to the controlling factors for in the optimization purpose, along with in-process monitoring of 3D printing for optimal results and output Industrial Strategies and Solutions for 3D Printing: Applications and Optimization is a valuable and up-to-date reference on the subject for researchers, scholars, and professionals in biomedical, chemical, and mechanical engineering seeking to understand foundational concepts related to the free-form fabrication approach and how to achieve optimal results.
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Optimization : Algorithms and Applications
Choose the Correct Solution Method for Your Optimization ProblemOptimization: Algorithms and Applications presents a variety of solution techniques for optimization problems, emphasizing concepts rather than rigorous mathematical details and proofs.The book covers both gradient and stochastic methods as solution techniques for unconstrained and constrained optimization problems.It discusses the conjugate gradient method, Broyden–Fletcher–Goldfarb–Shanno algorithm, Powell method, penalty function, augmented Lagrange multiplier method, sequential quadratic programming, method of feasible directions, genetic algorithms, particle swarm optimization (PSO), simulated annealing, ant colony optimization, and tabu search methods.The author shows how to solve non-convex multi-objective optimization problems using simple modifications of the basic PSO code.The book also introduces multidisciplinary design optimization (MDO) architectures—one of the first optimization books to do so—and develops software codes for the simplex method and affine-scaling interior point method for solving linear programming problems.In addition, it examines Gomory’s cutting plane method, the branch-and-bound method, and Balas’ algorithm for integer programming problems. The author follows a step-by-step approach to developing the MATLAB® codes from the algorithms.He then applies the codes to solve both standard functions taken from the literature and real-world applications, including a complex trajectory design problem of a robot, a portfolio optimization problem, and a multi-objective shape optimization problem of a reentry body.This hands-on approach improves your understanding and confidence in handling different solution methods.The MATLAB codes are available on the book’s CRC Press web page.
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Artificial Intelligence Business Applications : Artificial Intelligence Marketing and Sales Applications
If you want to scale your business using Artificial Intelligence tools and applications, then read belowArtificial Intelligence is the tech of the future. But if you're not already working in the field or studying the depths of artificial intelligence, it can be difficult to find information in layman's terms.As a business owner, especially a small business owner, we are always looking at ways to improve the efficiency of our business; outsource, automate and scale. And Artificial Intelligence is the best tool to do use.Here's a few things you can learn from this book How current day businesses use Artificial Intelligence to move ahead,4 Ways AI can help elevate your online marketing systems,Use AI to make your customers feel like they are in heaven,3 Ways to Automate boring tasks with AI,Ensure more efficient business compliance methods with AI,How Artificial Intelligence will Change the Nature of Business in the Future,If you're ready to have a tool that breaks down this complex topic in simple language then this is your chance. Download your copy now so you can get started on what is promising to be a most amazing future.Scroll to the top and click Buy Now
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Swarm Optimization for Biomedical Applications
Biomedical engineering is a rapidly growing interdisciplinary area that is providing solutions to biological and medical problems and improving the healthcare system.It is connected to various applications like protein structure prediction, computer-aided drug design, and computerized medical diagnosis based on image and signal data, which accomplish low-cost, accurate, and reliable solutions for improving healthcare services.With the recent advancements, machine learning (ML) and deep learning (DL) techniques are widely used in biomedical engineering to develop intelligent decision-making healthcare systems in real-time.However, accuracy and reliability in model performance can be a concern in tackling data generated from medical images and signals, making it challenging for researchers and practitioners.Therefore, optimized models can produce quality healthcare services to handle the complexities involved in biomedical research. Various optimization techniques have been employed to optimize parameters, hyper-parameters, and architectural information of ML/DL models explicitly applied to biological, medical, and signal data.The swarm intelligence approach has the potential to solve complex non-linear optimization problems.It mimics the collective behavior of social swarms such as ant colonies, honey bees, and bird flocks.The cooperative nature of swarms can search global settings of ML/DL models, which efficiently provide the solution to biomedical engineering applications.Finally, the book aims to provide the utility of swarm optimization and similar optimization techniques to design ML/DL models to improve the solutions related to biomedical engineering.
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Are unsolicited applications allowed in self-initiated job applications?
Yes, unsolicited applications are allowed in self-initiated job applications. Unsolicited applications involve reaching out to a company even if they have not advertised any job openings. This can demonstrate initiative and proactiveness to potential employers. However, it is important to tailor your application to the company and clearly explain why you are interested in working for them.
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Can economic efficiency and productivity develop mutually?
Yes, economic efficiency and productivity can develop mutually. When businesses and industries become more efficient in their operations, they can produce more output with the same amount of input, leading to increased productivity. Similarly, when productivity increases, it can drive economic efficiency by reducing waste and improving resource allocation. Therefore, as businesses and industries focus on improving efficiency and productivity, they can reinforce and support each other's development.
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What are applications and examples of applications for a PID controller?
A PID controller is a type of feedback control system that is widely used in industrial processes, robotics, and automation. It is used to control the behavior of a system by continuously adjusting the input based on the difference between the desired setpoint and the actual output. Some common applications of PID controllers include temperature control in ovens and HVAC systems, speed control in motors and drives, and pressure control in hydraulic systems. PID controllers are also used in chemical and process industries to maintain precise control over variables such as flow rate, level, and composition.
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What is the difference between efficiency and productivity?
Efficiency refers to how well resources are utilized to achieve a specific goal or output, while productivity measures the output or results generated from a specific amount of input or resources. Efficiency focuses on minimizing waste and maximizing output with the resources available, while productivity is a measure of how much output is produced relative to the input used. In essence, efficiency is about doing things right, while productivity is about doing the right things.
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Data-Driven Intelligence in Wireless Networks : Concepts, Solutions, and Applications
This book highlights the importance of data-driven techniques to solve wireless communication problems.It presents a number of problems (e.g., related to performance, security, and social networking), and provides solutions using various data-driven techniques, including machine learning, deep learning, federated learning, and artificial intelligence. This book details wireless communication problems that can be solved by data-driven solutions.It presents a generalized approach toward solving problems using specific data-driven techniques.The book also develops a taxonomy of problems according to the type of solution presented and includes several case studies that examine data-driven solutions for issues such as quality of service (QoS) in heterogeneous wireless networks, 5G/6G networks, and security in wireless networks.The target audience of this book includes professionals, researchers, professors, and students working in the field of networking, communications, machine learning, and related fields.
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Intelligence - Theories and Applications
Intelligence allows people to understand events and to shape their surrounding environment.This book delves deeper into the theories and applications of intelligence, showing it is a multifaceted concept —defined and explained differently by prestigious experts of various disciplines in their own research.The book provides interdisciplinary connections of intelligence as it relates to a variety of clearly outlined subject areas, and should lead to a deep understanding of the phenomenon as it pertains to practical applications in different domains. Contributors in this volume present results from evolutionary biology, mathematics, artificial intelligence, medicine, psychology, cultural studies, economy, political sciences and philosophy.Individual scientific models are integrated in an interdisciplinary concept of wisdom.This volume will help enhance the common understanding of intelligence for fellow researchers and scientists alike.
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Intelligent Optimization : Principles, Algorithms and Applications
This textbook comprehensively explores the foundational principles, algorithms, and applications of intelligent optimization, making it an ideal resource for both undergraduate and postgraduate artificial intelligence courses.It remains equally valuable for active researchers and individuals engaged in self-study.Serving as a significant reference, it delves into advanced topics within the evolutionary computation field, including multi-objective optimization, dynamic optimization, constrained optimization, robust optimization, expensive optimization, and other pivotal scientific studies related to optimization. Designed to be approachable and inclusive, this textbook equips readers with the essential mathematical background necessary for understanding intelligent optimization.It employs an accessible writing style, complemented by extensive pseudo-code and diagrams that vividly illustrate the mechanisms, principles, and algorithms of optimization.With a focus on practicality, this textbook provides diverse real-world application examples spanning engineering, games, logistics, and other domains, enabling readers to confidently apply intelligent techniques to actual optimization problems. Recognizing the importance of hands-on experience, the textbook introduces the Open-source Framework for Evolutionary Computation platform (OFEC) as a user-friendly tool.This platform serves as a comprehensive toolkit for implementing, evaluating, visualizing, and benchmarking various optimization algorithms.The book guides readers on maximizing the utility of OFEC for conducting experiments and analyses in the field of evolutionary computation, facilitating a deeper understanding of intelligent optimization through practical application.
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Optimization and Computing using Intelligent Data-Driven Approaches for Decision-Making : Artificial Intelligence Applications
This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques.It will further cover important topic such as linking green supply chain management practices with competitiveness, industry 4.0, and social responsibility. This book:Addresses solving practical problems such as supply chain management, take-off, and healthcare analytics using intelligent computingPresents a comparative analysis of machine learning algorithms for power consumption predictionDiscusses a machine learning-based multi-objective optimization technique for load balancing in an integrated fog cloud environmentIllustrates a data-driven optimization concept for modeling environmental and economic sustainabilityExplains the use of heuristics and metaheuristics in supply chain networks and the use of fuzzy optimization in sustainable development goalsThe text is primarily written for graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, mathematics and statistics, computer science and engineering.
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What are the connections between efficiency and productivity?
Efficiency and productivity are closely connected in that efficiency refers to the ability to accomplish a task with minimal waste, effort, or cost, while productivity refers to the rate at which goods or services are produced. When a process or system is efficient, it can lead to increased productivity because it allows for more output to be generated with the same amount of input. Conversely, when productivity is high, it often indicates that the resources and processes are being used efficiently. Therefore, improving efficiency can lead to increased productivity, and vice versa, as they both contribute to the overall effectiveness of a business or organization.
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Does increasing productivity lead to higher economic efficiency?
Yes, increasing productivity can lead to higher economic efficiency. When a company or economy can produce more output with the same input of resources, it can lead to lower production costs and higher profits. This can also lead to lower prices for consumers, which can increase overall economic welfare. Additionally, higher productivity can lead to increased competitiveness in the global market, which can further contribute to economic efficiency.
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What are web applications?
Web applications are software programs that run on web servers and are accessed through a web browser. They allow users to interact with data and perform tasks over the internet. Web applications can range from simple websites to complex platforms that offer a wide range of functionalities such as online shopping, social networking, and productivity tools. They are designed to be platform-independent and can be accessed on any device with an internet connection.
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Why are applications rejected?
Applications can be rejected for various reasons, including incomplete information, lack of qualifications or experience, failure to meet specific requirements outlined in the job description, or submitting a poorly written resume or cover letter. Additionally, if there are a large number of qualified candidates applying for a limited number of positions, some applications may be rejected simply due to the competitive nature of the selection process. It is important for applicants to carefully review the job posting, tailor their application to the specific requirements, and ensure all necessary information is provided to increase their chances of success.
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