- Table View
- List View
Advanced Logo: A Language for Learning (Computer Science for the Behavioral Sciences Series)
by Michael FriendlyAdvanced Logo shows how LOGO can be used as a vehicle to promote problem solving skills among secondary students, college students, and instructors. The book demonstrates the wide range of educational domains that can be explored through LOGO including generative grammars, physical laws of motion and mechanics, artificial intelligence, robotics, and calculus.
Advanced Machine Intelligence and Signal Processing (Lecture Notes in Electrical Engineering #858)
by Deepak Gupta Koj Sambyo Mukesh Prasad Sonali AgarwalThis book covers the latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing, and their applications in real world. The topics covered in machine learning involve feature extraction, variants of support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN), and other areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use of geometric techniques, scene understanding and modeling from video, 3D object recognition, localization and tracking, medical image analysis, and so on. Computational learning theory involves different kinds of learning like incremental, online, reinforcement, manifold, multitask, semi-supervised, etc. Further, it covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. Additionally, it covers the recent developments to network intelligence for analyzing the network information and thereby adapting the algorithms dynamically to improve the efficiency. In the last, it includes the progress in signal processing to process the normal and abnormal categories of real-world signals, for instance signals generated from IoT devices, smart systems, speech, videos, etc., and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), and electromyogram (EMG).
Advanced Machine Learning Approaches in Cancer Prognosis: Challenges and Applications (Intelligent Systems Reference Library #204)
by Janmenjoy Nayak Margarita N. Favorskaya Seema Jain Bighnaraj Naik Manohar MishraThis book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic, and hybrid intelligent systems for the determination and diagnosis of cancer. Moreover, the tactical solutions of machine learning have proved its vast range of significance and, provided novel solutions in the medical field for the diagnosis of disease. This book also explores the distinct deep learning approaches that are capable of yielding more accurate outcomes for the diagnosis of cancer. In addition to providing an overview of the emerging machine and deep learning approaches, it also enlightens an insight on how to evaluate the efficiency and appropriateness of such techniques and analysis of cancer data used in the cancer diagnosis. Therefore, this book focuses on the recent advancements in the machine learning and deep learning approaches used in the diagnosis of different types of cancer along with their research challenges and future directions for the targeted audience including scientists, experts, Ph.D. students, postdocs, and anyone interested in the subjects discussed.
Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2020 (Advances in Intelligent Systems and Computing #1141)
by Aboul Ella Hassanien Roheet Bhatnagar Ashraf DarwishThis book presents the refereed proceedings of the 5th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2020), held at Manipal University Jaipur, India, on February 13 – 15, 2019, and organized in collaboration with the Scientific Research Group in Egypt (SRGE). The papers cover current research in machine learning, big data, Internet of Things, biomedical engineering, fuzzy logic and security, as well as intelligence swarms and optimization.
Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2021 (Advances in Intelligent Systems and Computing #1339)
by Aboul-Ella Hassanien Kuo-Chi Chang Tang MincongThis book presents the refereed proceedings of the 6th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2021) held in Cairo, Egypt, during March 22–24, 2021, and organized by the Scientific Research Group of Egypt (SRGE). The papers cover current research Artificial Intelligence Against COVID-19, Internet of Things Healthcare Systems, Deep Learning Technology, Sentiment analysis, Cyber-Physical System, Health Informatics, Data Mining, Power and Control Systems, Business Intelligence, Social media, Control Design, and Smart Systems.
Advanced Machine Learning with Evolutionary and Metaheuristic Techniques (Computational Intelligence Methods and Applications)
by Jayaraman Valadi Krishna Pratap Singh Muneendra Ojha Patrick SiarryThis book delves into practical implementation of evolutionary and metaheuristic algorithms to advance the capacity of machine learning. The readers can gain insight into the capabilities of data-driven evolutionary optimization in materials mechanics, and optimize your learning algorithms for maximum efficiency. Or unlock the strategies behind hyperparameter optimization to enhance your transfer learning algorithms, yielding remarkable outcomes. Or embark on an illuminating journey through evolutionary techniques designed for constructing deep-learning frameworks. The book also introduces an intelligent RPL attack detection system tailored for IoT networks. Explore a promising avenue of optimization by fusing Particle Swarm Optimization with Reinforcement Learning. It uncovers the indispensable role of metaheuristics in supervised machine learning algorithms. Ultimately, this book bridges the realms of evolutionary dynamic optimization andmachine learning, paving the way for pioneering innovations in the field.
Advanced Machine Learning with Python
by John HeartySolve challenging data science problems by mastering cutting-edge machine learning techniques in Python About This Book * Resolve complex machine learning problems and explore deep learning * Learn to use Python code for implementing a range of machine learning algorithms and techniques * A practical tutorial that tackles real-world computing problems through a rigorous and effective approach Who This Book Is For This title is for Python developers and analysts or data scientists who are looking to add to their existing skills by accessing some of the most powerful recent trends in data science. If you've ever considered building your own image or text-tagging solution, or of entering a Kaggle contest for instance, this book is for you! Prior experience of Python and grounding in some of the core concepts of machine learning would be helpful. What You Will Learn * Compete with top data scientists by gaining a practical and theoretical understanding of cutting-edge deep learning algorithms * Apply your new found skills to solve real problems, through clearly-explained code for every technique and test * Automate large sets of complex data and overcome time-consuming practical challenges * Improve the accuracy of models and your existing input data using powerful feature engineering techniques * Use multiple learning techniques together to improve the consistency of results * Understand the hidden structure of datasets using a range of unsupervised techniques * Gain insight into how the experts solve challenging data problems with an effective, iterative, and validation-focused approach * Improve the effectiveness of your deep learning models further by using powerful ensembling techniques to strap multiple models together In Detail Designed to take you on a guided tour of the most relevant and powerful machine learning techniques in use today by top data scientists, this book is just what you need to push your Python algorithms to maximum potential. Clear examples and detailed code samples demonstrate deep learning techniques, semi-supervised learning, and more - all whilst working with real-world applications that include image, music, text, and financial data. The machine learning techniques covered in this book are at the forefront of commercial practice. They are applicable now for the first time in contexts such as image recognition, NLP and web search, computational creativity, and commercial/financial data modeling. Deep Learning algorithms and ensembles of models are in use by data scientists at top tech and digital companies, but the skills needed to apply them successfully, while in high demand, are still scarce. This book is designed to take the reader on a guided tour of the most relevant and powerful machine learning techniques. Clear descriptions of how techniques work and detailed code examples demonstrate deep learning techniques, semi-supervised learning and more, in real world applications. We will also learn about NumPy and Theano. By this end of this book, you will learn a set of advanced Machine Learning techniques and acquire a broad set of powerful skills in the area of feature selection & feature engineering. Style and approach This book focuses on clarifying the theory and code behind complex algorithms to make them practical, useable, and well-understood. Each topic is described with real-world applications, providing both broad contextual coverage and detailed guidance.
Advanced Machine Learning with R: Tackle data analytics and machine learning challenges and build complex applications with R 3.5
by Cory Lesmeister Dr. Sunil ChinnamgariMaster machine learning techniques with real-world projects that interface TensorFlow with R, H2O, MXNet, and other languagesKey FeaturesGain expertise in machine learning, deep learning and other techniquesBuild intelligent end-to-end projects for finance, social media, and a variety of domainsImplement multi-class classification, regression, and clusteringBook DescriptionR is one of the most popular languages when it comes to exploring the mathematical side of machine learning and easily performing computational statistics.This Learning Path shows you how to leverage the R ecosystem to build efficient machine learning applications that carry out intelligent tasks within your organization. You'll tackle realistic projects such as building powerful machine learning models with ensembles to predict employee attrition. You'll explore different clustering techniques to segment customers using wholesale data and use TensorFlow and Keras-R for performing advanced computations. You’ll also be introduced to reinforcement learning along with its various use cases and models. Additionally, it shows you how some of these black-box models can be diagnosed and understood.By the end of this Learning Path, you’ll be equipped with the skills you need to deploy machine learning techniques in your own projects.This Learning Path includes content from the following Packt products:R Machine Learning Projects by Dr. Sunil Kumar ChinnamgariMastering Machine Learning with R - Third Edition by Cory LesmeisterWhat you will learnDevelop a joke recommendation engine to recommend jokes that match users’ tastesBuild autoencoders for credit card fraud detectionWork with image recognition and convolutional neural networksMake predictions for casino slot machine using reinforcement learningImplement NLP techniques for sentiment analysis and customer segmentationProduce simple and effective data visualizations for improved insightsUse NLP to extract insights for textImplement tree-based classifiers including random forest and boosted treeWho this book is forIf you are a data analyst, data scientist, or machine learning developer this is an ideal Learning Path for you. Each project will help you test your skills in implementing machine learning algorithms and techniques. A basic understanding of machine learning and working knowledge of R programming is necessary to get the most out of this Learning Path.
Advanced Machining and Manufacturing Processes: Innovative Modeling Techniques (Materials Forming, Machining And Tribology)
by J. Paulo Davim Kaushik Kumar Divya ZindaniThis book covers the various advanced manufacturing processes employed by manufacturing industries to improve their productivity in terms of socio-economic development.
Advanced Machining and Micromachining Processes (Advances in Production Engineering)
by Sandip Kunar Norfazillah Binti Talib Gurudas MandalThis book offers a comprehensive overview of the fundamentals, principles, and latest innovations in advanced machine and micromachining processes. Businesses are continually seeking innovative advanced machining and micromachining techniques that optimize efficiency while reducing environmental harm. This growing competitive pressure has spurred the development of sophisticated design and production concepts. Modern machining and micromachining methods have evolved to accommodate the use of newer materials across diverse applications, while ensuring precise machining accuracy. The primary aim of this book is to explore and analyze various approaches in modern machining and micromachining processes, with a focus on their effectiveness and application in successful product development. Consequently, the book emphasizes an industrial engineering perspective. This book covers a range of advanced machining and micromachining processes that can be utilized by the manufacturing industry to enhance productivity and contribute to socioeconomic development. Additionally, it highlights ongoing research projects in the field and provides insights into the latest advancements in advanced machining and micromachining techniques. The 31 chapters in the book cover the following subjects: abrasive jet machining; water jet machining; principles of electro discharge machining; wire-electro discharge machining; laser beam machining; plasma arc machining; ion beam machining; electrochemical machining; ultrasonic machining; electron beam machining; electrochemical grinding; photochemical machining process; abrasive-assisted micromachining; abrasive water jet micromachining; electro discharge machining; electrochemical micromachining; ultrasonic micromachining; laser surface modification techniques; ion beam processes; glass workpiece micromachining using electrochemical discharge machining; abrasive water jet machining; ultrasonic vibration-assisted micromachining; laser micromachining’s role in improving tool wear resistance; stress; and surface roughness in high-strength alloys; abrasive flow finishing process; elastic emission machining; magnetic abrasive finishing process; genetic algorithm for multi-objective optimization in machining; machining of Titanium Grade-2 and P-20 tool steel; and wet bulk micromachining in MEMS fabrication. Audience The book is intended for a wide audience including mechanical, manufacturing, biomedical, and industrial engineers and R&D researchers involved in advanced machining and micromachining technology.
Advanced Machining Processes: Innovative Modeling Techniques (Manufacturing Design and Technology)
by Angelos P. Markopoulos and J. Paulo DavimModeling and machining are two terms closely related. The benefits of the application of modeling on machining are well known. The advances in technology call for the use of more sophisticated machining methods for the production of high-end components. In turn, more complex, more suitable, and reliable modeling methods are required. This book pertains to machining and modeling, but focuses on the special aspects of both. Many researchers in academia and industry, who are looking for ways to refine their work, make it more detailed, increase their accuracy and reliability, or implement new features, will gain access to knowledge in this book that is very scare to find elsewhere.
Advanced Machining Science
by Vijay Kumar JainAs machining processes become more advanced, so does the science behind them. This book emphasizes these scientific developments in addition to the more widely covered technological aspects, providing a full understanding of how machining has adapted to material constraints and moved beyond conventional methods in recent years. Numerous processes have been developed to allow the use of increasingly tough, corrosion-resistant, and temperature-resistant materials in machining. The advanced machining processes covered in this book range from mechanical, thermoelectric, and electrochemical, including abrasive water jet machining, electric discharge machining and micromachining, ion beam machining, and hybrid processes. It also addresses the sustainability issues raised by these processes. The underlying science of machining is centered throughout, as none of these processes can reach their full potential without both technical expertise and scientific understanding. Advanced Machining Science and its scientific approach will be of particular interest to students, researchers, and shop floor engineers.
Advanced Magnetic Adsorbents for Water Treatment: Fundamentals and New Perspectives (Environmental Chemistry for a Sustainable World #61)
by Lucas Meili Guilherme Luiz DottoThis book compiles 15 chapters about the synthesis, characterizations, and application of many kinds of magnetic adsorbents for water treatment. It is devoted to the scientific community that works with adsorption technologies for water treatment and remediation. Specifically, for professors and Ph.D. students. It is expected that this book serves as an interesting background for researchers in the field of magnetic adsorbents for water treatment.
Advanced Magnetic and Optical Materials
by Ashutosh Tiwari Hendrik Swart Parameswar K. Iyer Vijay KumarAdvanced Magnetic and Optical Materials offers detailed up-to-date chapters on the functional optical and magnetic materials, engineering of quantum structures, high-tech magnets, characterization and new applications. It brings together innovative methodologies and strategies adopted in the research and development of the subject and all the contributors are established specialists in the research area.
Advanced Magnetohydrodynamics
by Rony Keppens Stefaan Poedts J. P. Hans GoedbloedFollowing on from the companion volume Principles of Magnetohydrodynamics, this textbook analyzes the applications of plasma physics to thermonuclear fusion and plasma astrophysics from the single viewpoint of MHD. This approach turns out to be ever more powerful when applied to streaming plasmas (the vast majority of visible matter in the Universe), toroidal plasmas (the most promising approach to fusion energy), and nonlinear dynamics (where it all comes together with modern computational techniques and extreme transonic and relativistic plasma flows). The textbook interweaves theory and explicit calculations of waves and instabilities of streaming plasmas in complex magnetic geometries. It is ideally suited to advanced undergraduate and graduate courses in plasma physics and astrophysics.
Advanced Maintenance Modelling for Asset Management: Techniques and Methods for Complex Industrial Systems
by Adolfo Crespo Márquez Vicente González-Prida Díaz Juan Francisco Gómez FernándezThis book promotes and describes the application of objective and effective decision making in asset management based on mathematical models and practical techniques that can be easily implemented in organizations. This comprehensive and timely publication will be an essential reference source, building on available literature in the field of asset management while laying the groundwork for further research breakthroughs in this field. The text provides the resources necessary for managers, technology developers, scientists and engineers to adopt and implement better decision making based on models and techniques that contribute to recognizing risks and uncertainties and, in general terms, to the important role of asset management to increase competitiveness in organizations.
Advanced Maintenance Policies for Shock and Damage Models (Springer Series in Reliability Engineering)
by Toshio Nakagawa Xufeng ZhaoThis book surveys the recent development of maintenance theory, advanced maintenance techniques with shock and damage models, and their applications in computer systems dealing with efficiency problems. It also equips readers to handle multiple maintenance, informs maintenance policies, and explores comparative methods for several different kinds of maintenance. Further, it discusses shock and damage modelling as an important failure mechanism for reliability systems, and extensively explores the degradation processes, failure modes, and maintenance characteristics of modern, highly complex systems, especially for some key mechanical systems designed for specific tasks.
Advanced Male Urethral and Genital Reconstructive Surgery (Current Clinical Urology)
by Steven B. Brandes Allen F. MoreySince the publication of the first edition of Urethral Reconstructive Surgery, important refinements have been added to the urologic surgical armamentarium. Extensively revised and updated, Advanced Male Urethral and Genital Reconstructive Surgery, Second Edition guides urologists in a practical manner on how to evaluate and manage complex urethral and male genital reconstructive challenges. Chapters have been added on wound healing, synchronous urethral strictures, non-transecting anastomotic urethroplasty (including muscle and vessel sparing), overlapping buccal grafts, male urethral slings, genital skin grafting, Peyronie's surgery, priapism, pediatric strictures and prosthetics. Such chapters greatly strengthen the overall appeal of the book. The volume closes with a new comprehensive appendix of preferred instruments. With broad contributions by international authorities in reconstructive urologic surgery, Advanced Male Urethral and Genital Reconstructive Surgery, Second Edition is a valuable resource for all urologists, from residents to reconstructive surgeons.
Advanced Mammalian Cell Culture Techniques: Principles and Practices
by K. M. Ramkumar R. Senthilkumar Md Enamul HoqueThis up-to-date book compiles both basic and advanced laboratory techniques of mammalian cell culture. It is divided into four major sections encompassing the basics of cell culture, nucleic acid and protein isolation, cell-staining techniques, and cell transfection and single-cell analysis. The topics include aseptic handling, media preparation, and passaging of cells. The book also outlines downstream assays such as nucleic acid and protein isolation from in-vitro cell cultures. Key Features: • Covers cellular staining using fluorescent dyes, genetic manipulation of cells via transfection, and an introduction to single-cell analyses • Discusses basics in cell culture and downstream applications including gene and protein expression analysis • Includes the principles underlying each of the techniques and provides a detailed methodology to practice • Explores the whole range of techniques – from basic to downstream applications and advanced methods The book is essential for students and researchers in the field of life sciences, biotechnology, genetics, and molecular biology.
Advanced Manufacturing: The New American Innovation Policies (The\mit Press Ser. #Vol. 1)
by William B. Bonvillian Peter L. SingerHow to rethink innovation and revitalize America's declining manufacturing sector by encouraging advanced manufacturing, bringing innovative technologies into the production process.The United States lost almost one-third of its manufacturing jobs between 2000 and 2010. As higher-paying manufacturing jobs are replaced by lower-paying service jobs, income inequality has been approaching third world levels. In particular, between 1990 and 2013, the median income of men without high school diplomas fell by an astonishing 20% between 1990 and 2013, and that of men with high school diplomas or some college fell by a painful 13%. Innovation has been left largely to software and IT startups, and increasingly U.S. firms operate on a system of “innovate here/produce there,” leaving the manufacturing sector behind. In this book, William Bonvillian and Peter Singer explore how to rethink innovation and revitalize America's declining manufacturing sector. They argue that advanced manufacturing, which employs such innovative technologies as 3-D printing, advanced material, photonics, and robotics in the production process, is the key.Bonvillian and Singer discuss transformative new production paradigms that could drive up efficiency and drive down costs, describe the new processes and business models that must accompany them, and explore alternative funding methods for startups that must manufacture. They examine the varied attitudes of mainstream economics toward manufacturing, the post-Great Recession policy focus on advanced manufacturing, and lessons from the new advanced manufacturing institutes. They consider the problem of “startup scaleup,” possible new models for training workers, and the role of manufacturing in addressing “secular stagnation” in innovation, growth, the middle classes, productivity rates, and related investment. As recent political turmoil shows, the stakes could not be higher.
Advanced Manufacturing and Automation IX (Lecture Notes in Electrical Engineering #634)
by Yi Wang Kristian Martinsen Tao Yu Kesheng WangThis book presents selected papers from the 9th International Workshop of Advanced Manufacturing and Automation (IWAMA 2019), held in Plymouth, UK, on November 21–22, 2019. Discussing topics such as novel techniques for manufacturing and automation in Industry 4.0 and smart factories, which are vital for maintaining and improving economic development and quality of life, it offers researchers and industrial engineers insights into implementing the concepts and theories of Industry 4.0, in order to effectively respond to the challenges posed by the 4th industrial revolution and smart factories.
Advanced Manufacturing and Automation VII (Lecture Notes in Electrical Engineering #451)
by Yi Wang Kesheng Wang Jan Ola Strandhagen Tao YuThe proceedings brings together a selection of papers from the 7th International Workshop of Advanced Manufacturing and Automation (IWAMA 2017), held in Changshu Institute of Technology, Changshu, China on September 11–12, 2017. Most of the topics are focusing on novel techniques for manufacturing and automation in Industry 4.0. These contributions are vital for maintaining and improving economic development and quality of life. The proceeding will assist academic researchers and industrial engineers to implement the concepts and theories of Industry 4.0 in industrial practice, in order to effectively respond to the challenges posed by the 4th industrial revolution and smart factories.
Advanced Manufacturing and Automation VIII (Lecture Notes in Electrical Engineering #484)
by Kesheng Wang Yi Wang Jan Ola Strandhagen Tao YuThis proceeding is a compilation of selected papers from the 8th International Workshop of Advanced Manufacturing and Automation (IWAMA 2018), held in Changzhou, China on September 25 - 26, 2018. Most of the topics are focusing on novel techniques for manufacturing and automation in Industry 4.0 and smart factory. These contributions are vital for maintaining and improving economic development and quality of life. The proceeding will assist academic researchers and industrial engineers to implement the concepts and theories of Industry 4.0 in industrial practice, in order to effectively respond to the challenges posed by the 4th industrial revolution and smart factory.
Advanced Manufacturing and Automation X (Lecture Notes in Electrical Engineering #737)
by Yi Wang Kesheng Wang Tao Yu Kristian MartinsenThis book presents selected papers from the 10th International Workshop of Advanced Manufacturing and Automation (IWAMA 2020), held in Zhanjiang, Guangdong province, China, on October 12-13, 2020. Discussing topics such as novel techniques for manufacturing and automation in Industry 4.0 and smart factories, which are vital for maintaining and improving economic development and quality of life, it offers researchers and industrial engineers insights into implementing the concepts and theories of Industry 4.0, in order to effectively respond to the challenges posed by the 4th industrial revolution and smart factories.
Advanced Manufacturing and Automation XI (Lecture Notes in Electrical Engineering #880)
by Yi Wang Kristian Martinsen Tao Yu Kesheng WangThe proceedings collect selected papers from the 11th International Workshop of Advanced Manufacturing and Automation (IWAMA 2021), held in Zhengzhou Polytechnic, China on 11 - 12 October, 2021. Topics focusing on novel techniques for manufacturing and automation in Industry 4.0 are now vital factors for the maintenance and improvement of the economy of a nation and the quality of life. It will help academic researchers and engineering to implement the concept, theory and methods in Industry 4.0 which has been a hot topic. These proceedings will make valuable contributions to academic researchers, engineers in the industry for the challenges in the 4th industry revolution and smart factories.