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Total Hip Arthroplasty
Total Hip Arthroplasty: Medical and Biomedical Engineering and Science Concepts provides an extensive overview of the most recent advancements in total hip arthroplasty (THA) through a thorough review of the literature in medicine, engineering, mathematics, computing, and related technologies. Coverage includes the most recent engineering and computing techniques such as robotics, biomechanics, artificial intelligence, and optimization, as well as the medical and surgical aspects of pre-existing conditions, surgical procedure types, postoperative complications, and patient care. This book will be a valuable introductory reference for academics, students, and researchers to THA concepts and advances.
Total Knee Arthroplasty
Total Knee Arthroplasty: Medical and Biomedical Engineering and Science Concepts provides an extensive overview of the most recent advancements in total knee arthroplasty (TKA) through a thorough review of the literature in medicine, engineering, and technology. Coverage includes the most recent engineering and computing techniques, such as robotics, biomechanics, artificial intelligence (AI), deep learning (DL), machine learning (ML), and optimization, as well as the medical and surgical aspects of pre-existing conditions, surgical procedure types, surgical complications, patient care, and psychological factors. This book will be a valuable introduction to TKA concepts and advances for academics, students, and researchers.
Cosmetic and Reconstructive Facial Plastic Surgery
Cosmetic and Reconstructive Facial Plastic Surgery: Medical and Biomedical Engineering and Science Concepts provides an extensive overview of the most recent technological advancements in facial plastic and reconstructive surgeries and head and neck surgery through a thorough review of the literature in biomedical engineering, technology, and medicine. Coverage includes the most recent engineering and computing techniques, such as robotics, biomechanics, artificial intelligence (AI), deep learning (DL), machine learning (ML), and optimization, as well as the medical and surgical aspects of medical and scientific methods, surgical and non-surgical procedure types, complications, patient care, and psychological factors. This book will be a valuable introduction to concepts and advances for otorhinolaryngology, biomedical researchers, academics, and students.
Quality and Lean Six Sigma for Engineering Technicians
This textbook is the first of its kind, designed exclusively for the training and professional development of engineering technicians and technologists on the quality concepts, tools, and skills necessary for today's industrial environment. The book provides learners and working professionals with numerous examples, exercises, and case studies to prepare them to apply concepts including total quality management (TQM), six sigma, and lean methodology in analyzing and solving quality problems and implementing process improvements and corrective actions in the manufacturing process. Quality and Lean Six Sigma for Engineering Technicians gives readers a practical understanding of six sigma and manufacturing improvement concepts. It is also a go-to reference for practicing engineering technicians already working in the field.
Models, Algorithms and Technologies for Network Analysis
The contributions in this volume cover a broad range of topics including maximum cliques, graph coloring, data mining, brain networks, Steiner forest, logistic and supply chain networks. Network algorithms and their applications to market graphs, manufacturing problems, internet networks and social networks are highlighted. The "Fourth International Conference in Network Analysis," held at the Higher School of Economics, Nizhny Novgorod in May 2014, initiated joint research between scientists, engineers and researchers from academia, industry and government; the major results of conference participants have been reviewed and collected in this Work. Researchers and students in mathematics, economics, statistics, computer science and engineering will find this collection a valuable resource filled with the latest research in network analysis.
Machine Learning, Optimization, and Big Data
This book constitutes revised selected papers from the First International Workshop on Machine Learning, Optimization, and Big Data, MOD 2015, held in Taormina, Sicily, Italy, in July 2015. The 32 papers presented in this volume were carefully reviewed and selected from 73 submissions. They deal with the algorithms, methods and theories relevant in data science, optimization and machine learning.
Experimental Algorithms
This volume constitutes the refereed proceedings of the 10th International Symposium on Experimental Algorithms, SEA 2011, held in Kolimpari, Chania, Crete, Greece, in May 2011. The 36 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 83 submissions and present current research in the area of design, analysis, and experimental evaluation and engineering of algorithms, as well as in various aspects of computational optimization and its applications.
Six Sigma and Quality Concepts for Industrial Engineers
Industrial engineers need to have a good foundation in the Six Sigma process to define needs, collect data, measure performance, analyze results, and improve operations in the workplace. This textbook covers the associated Six Sigma, lean, and technology-related concepts that an industrial engineer needs to understand to adopt the changes necessary to remove waste and increase productivity. The book introduces essential basic measurement tools and various process improvement methodologies, including total quality management (TQM), Six Sigma and the DMAIC approach, lean methodology, and Kaizen. Case studies and examples examine manufacturing, health care, and transportation services. Six Sigma and Quality Concepts for Industrial Engineers provides industrial engineering students and practitioners with a practical understanding of Six Sigma and manufacturing improvement concepts.
FlexSim in Academe: Teaching and Research
This book describes a variety of teaching and academic research applications that effectively utilize FlexSim to: (1) provide guidelines, methods and tools for simulation modeling and analysis in a variety of educational settings and (2) address a variety of important design and operational issues in industry. Simulation is increasingly proving to be an important tool for supporting decision-making and problem-solving processes in many disparate domains, including the design, management and improvement of a wide range of operations systems in manufacturing, logistics, healthcare, etc. Achieving resource efficiency and minimizing negative externalities from operations represent two of today’s greatest challenges; modern simulation methods can help to overcome them. FlexSim is a prominent software package for developing discrete-event, agent-based, continuous, and hybrid simulations.
