- Table View
- List View
Predictive Intelligence in Medicine: 6th International Workshop, PRIME 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings (Lecture Notes in Computer Science #14277)
by Islem Rekik Ehsan Adeli Sang Hyun Park Celia Cintas Ghada ZamzmiThis volume LNCS 14277 constitutes the refereed proceedings of the 6th International Workshop, PRIME 2023, Held in Conjunction with MICCAI 2023, in October 2023, held in Vancouver, BC, Canada. The 24 full papers presented were carefully reviewed and selected from 27 submissions. This workshop intersects ideas from both machine learning and mathematical/statistical/physical modeling research directions in the hope to provide a deeper understanding of the foundations of predictive intelligence developed for medicine, as well as to where we currently stand and what we aspire to achieve through this field.
Predictive Intelligence in Medicine: Third International Workshop, PRIME 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings (Lecture Notes in Computer Science #12329)
by Islem Rekik Ehsan Adeli Sang Hyun Park Maria del C. Valdés HernándezThis book constitutes the proceedings of the Second International Workshop on Predictive Intelligence in Medicine, PRIME 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshop was held virtually due to the COVID-19 pandemic. The 17 full and 2 short papers presented in this volume were carefully reviewed and selected for inclusion in this book. The contributions describe new cutting-edge predictive models and methods that solve challenging problems in the medical field for a high-precision predictive medicine.
Predictive Intelligence in Medicine: 4th International Workshop, PRIME 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings (Lecture Notes in Computer Science #12928)
by Islem Rekik Ehsan Adeli Sang Hyun Park Julia SchnabelThis book constitutes the proceedings of the 4th International Workshop on Predictive Intelligence in Medicine, PRIME 2021, held in conjunction with MICCAI 2021, in Strasbourg, France, in October 2021.*The 25 papers presented in this volume were carefully reviewed and selected for inclusion in this book. The contributions describe new cutting-edge predictive models and methods that solve challenging problems in the medical field for a high-precision predictive medicine. *The workshop was held virtually.
PRedictive Intelligence in MEdicine: First International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings (Lecture Notes in Computer Science #11121)
by Islem Rekik Gozde Unal Ehsan Adeli Sang Hyun ParkThis book constitutes the refereed proceedings of the First International Workshop on PRedictive Intelligence in MEdicine, PRIME 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 20 full papers presented were carefully reviewed and selected from 23 submissions. The main aim of the workshop is to propel the advent of predictive models in a broad sense, with application to medical data. Particularly, the workshop will admit papers describing new cutting-edge predictive models and methods that solve challenging problems in the medical field.
Predictive Learning Control for Unknown Nonaffine Nonlinear Systems: Theory and Applications (Intelligent Control and Learning Systems #8)
by Qiongxia Yu Ting Lei Fengchen Tian Zhongsheng Hou Xuhui BuThis book investigates both theory and various applications of predictive learning control (PLC) which is an advanced technology for complex nonlinear systems. To avoid the difficult modeling problem for complex nonlinear systems, this book begins with the design and theoretical analysis of PLC method without using mechanism model information of the system, and then a series of PLC methods is designed that can cope with system constraints, varying trial lengths, unknown time delay, and available and unavailable system states sequentially. Applications of the PLC on both railway and urban road transportation systems are also studied. The book is intended for researchers, engineers, and graduate students who are interested in predictive control, learning control, intelligent transportation systems and related fields.
Predictive Maintenance in Smart Factories: Architectures, Methodologies, and Use-cases (Information Fusion and Data Science)
by Tania Cerquitelli Nikolaos Nikolakis Niamh O’Mahony Enrico Macii Massimo Ippolito Sotirios MakrisThis book presents the outcome of the European project "SERENA", involving fourteen partners as international academics, technological companies, and industrial factories, addressing the design and development of a plug-n-play end-to-end cloud architecture, and enabling predictive maintenance of industrial equipment to be easily exploitable by small and medium manufacturing companies with a very limited data analytics experience. Perspectives and new opportunities to address open issues on predictive maintenance conclude the book with some interesting suggestions of future research directions to continue the growth of the manufacturing intelligence.
Predictive Models for Decision Support in the COVID-19 Crisis (SpringerBriefs in Applied Sciences and Technology)
by Joao Alexandre Marques Francisco Nauber Gois José Xavier-Neto Simon James FongCOVID-19 has hit the world unprepared, as the deadliest pandemic of the century. Governments and authorities, as leaders and decision makers fighting the virus, enormously tap into the power of artificial intelligence and its predictive models for urgent decision support. This book showcases a collection of important predictive models that used during the pandemic, and discusses and compares their efficacy and limitations. Readers from both healthcare industries and academia can gain unique insights on how predictive models were designed and applied on epidemic data. Taking COVID19 as a case study and showcasing the lessons learnt, this book will enable readers to be better prepared in the event of virus epidemics or pandemics in the future.
PREDICTIVE POLICING: The Role of Crime Forecasting in Law Enforcement Operations
by John S. Hollywood Susan C. Smith Carter C. Price Brian Mcinnis Walter L. PerryPredictive policing is the use of analytical techniques to identify targets for police intervention with the goal of preventing crime, solving past crimes, or identifying potential offenders and victims. These tools are not a substitute for integrated approaches to policing, nor are they a crystal ball. This guide assesses some of the most promising technical tools and tactical approaches for acting on predictions in an effective way.
Predictive Technology in Social Media
by Cristina Fernández-RoviraCan behaviour on social media predict future purchase patterns? Can what we click on social media foresee which political party will we vote for? Can the information we share on our wall foretell the next series I might want to watch? Can the likes on Instagram and Facebook predict the time one will spend on digital platforms in the next hour? The answer is no longer science fiction. It points to the ability of mainstream social media platforms such as Facebook and Twitter to be able to deliver specialised advertising services to highly targeted audience segments controlled by the billions of devices that flood our daily lives. At the same time, it highlights a more relevant problem: can social media guide, suggest or impose a certain behaviour or thought? Everything seems to indicate that they can do it.Predictive Technology in Social Media comprises 10 essays that reflect on the power of the predictive technology of social media in culture, entertainment, marketing, economics and politics. It shows, from a humanistic and critical perspective, the predictive possibilities of social media platforms, as well as the risks this entails for cultural plurality, everyday consumption, the monopolistic concentration of the economy and attention, and democracy. The text is an invitation to think, as citizens, about the unbridled power we have ceded to digital platforms. A new voice to warn about the greatest concentration of communicative power ever seen in the history of humanity.
Predictive Technology Model for Robust Nanoelectronic Design
by Yu CaoPredictive Technology Model for Robust Nanoelectronic Design explains many of the technical mysteries behind the Predictive Technology Model (PTM) that has been adopted worldwide in explorative design research. Through physical derivation and technology extrapolation, PTM is the de-factor device model used in electronic design. This work explains the systematic model development and provides a guide to robust design practice in the presence of variability and reliability issues. Having interacted with multiple leading semiconductor companies and university research teams, the author brings a state-of-the-art perspective on technology scaling to this work and shares insights gained in the practices of device modeling.
Prefactoring
by Ken PughMore often than not, developers will stop a large project in the middle of the build stage to rethink and recode the software design so it's cleaner and more efficient. Known as "refactoring," this process eats up valuable time and money. To help offset refactoring, this book presents a new process called "prefactoring," the premise of which states that you're better off considering the best possible design patterns before you even begin your project. Prefactoring, in essence, is the art of applying the insights gleaned from previous experience (whether yours or someone else's) when developing software to new projects. Doing so will likely save you from making costly design changes midstream--and maybe even save your job! This practical, thought-provoking guide details prefactoring guidelines in design, code, and testing, each derived from the lessons of many developers over many years. With these guidelines, you're far more likely to create more readable and maintainable code before you reach the second-guessing stage. To help communicate the many facets of this process, Prefactoring follows the example of a fictitious client, Sam, as he seeks to create a software system from beginning to implementation. Among the topics covered: General development issues Implementation classes Object-oriented design Creating reports via separation of concerns Associations and states Creating and testing interfaces If you understand object-oriented design, and you want to save time and money by considering more efficient designs before you begin your project, Prefactoring will show you the way. It won't guarantee that you'll never need to refactor your design or code again, but you're sure to cut down on the amount of refactoring you do.
Preference-based Spatial Co-location Pattern Mining (Big Data Management)
by Lizhen Wang Yuan Fang Lihua ZhouThe development of information technology has made it possible to collect large amounts of spatial data on a daily basis. It is of enormous significance when it comes to discovering implicit, non-trivial and potentially valuable information from this spatial data. Spatial co-location patterns reveal the distribution rules of spatial features, which can be valuable for application users. This book provides commercial software developers with proven and effective algorithms for detecting and filtering these implicit patterns, and includes easily implemented pseudocode for all the algorithms. Furthermore, it offers a basis for further research in this promising field.Preference-based co-location pattern mining refers to mining constrained or condensed co-location patterns instead of mining all prevalent co-location patterns. Based on the authors’ recent research, the book highlights techniques for solving a range of problems in this context, including maximal co-location pattern mining, closed co-location pattern mining, top-k co-location pattern mining, non-redundant co-location pattern mining, dominant co-location pattern mining, high utility co-location pattern mining, user-preferred co-location pattern mining, and similarity measures between spatial co-location patterns.Presenting a systematic, mathematical study of preference-based spatial co-location pattern mining, this book can be used both as a textbook for those new to the topic and as a reference resource for experienced professionals.
Preference Learning
by Eyke Hüllermeier Johannes FürnkranzThe topic of preferences is a new branch of machine learning and data mining, and it has attracted considerable attention in artificial intelligence research in previous years. It involves learning from observations that reveal information about the preferences of an individual or a class of individuals. Representing and processing knowledge in terms of preferences is appealing as it allows one to specify desires in a declarative way, to combine qualitative and quantitative modes of reasoning, and to deal with inconsistencies and exceptions in a flexible manner. And, generalizing beyond training data, models thus learned may be used for preference prediction. This is the first book dedicated to this topic, and the treatment is comprehensive. The editors first offer a thorough introduction, including a systematic categorization according to learning task and learning technique, along with a unified notation. The first half of the book is organized into parts on label ranking, instance ranking, and object ranking; while the second half is organized into parts on applications of preference learning in multiattribute domains, information retrieval, and recommender systems. The book will be of interest to researchers and practitioners in artificial intelligence, in particular machine learning and data mining, and in fields such as multicriteria decision-making and operations research.
Preferential Voting and Applications: Approaches Based on Data Envelopment Analysis (Studies in Systems, Decision and Control #471)
by Mehdi Soltanifar Hamid Sharafi Farhad Hosseinzadeh Lotfi Witold Pedrycz Tofigh AllahviranlooThis book presents the theory and application of the models presented in this regard and establishes a meaningful relationship between data envelopment analysis and multi-attribute decision making. The issue of "choice" using the aggregation of voters' votes is one of the most important group decision-making issues that are always considered by decision makers in electoral systems. Voting is a method of group decision making in a democratic society that expresses the will of the majority. Voting is perhaps the simplest way to gather the opinions of experts, and this ease of application has made it a multi-attribute decision-making method in group decisions. Preferential voting is a type of voting that may refer to electoral systems or groups of the electoral system. In preferential voting, voters vote for multiple candidates, and how the candidates are arranged on the ballot is important. Researchers have made many efforts to provide models of voter aggregation, and one of the best results of these efforts is the aggregation of votes based on the policy of data envelopment analysis. Thus, in group decisions, the opinions of experts are obtained in a simple structure and consolidated in an interactive and logical structure, and the results can be a powerful tool for decision support.This book provides a complete set of voting models based on data envelopment analysis and expressing its various applications in industry and society. However, most decision-making methods do not use the opinions of experts or reduce the motivation of experts to participate in complex interactions and time, while voting methods do not have this shortcoming.This book is suitable for graduate students in the fields of industrial management, business management, industrial engineering, applied mathematics, and economics. It can also be a good source for researchers in decision science, decision support systems, data envelopment analysis, supply chain management, healthcare management, and others. The methods presented in this book can not only offer a comprehensive framework for solving the problems of these areas but also can inspire researchers to pursue new innovative hybrid methods.
Pregnancy with Artificial Intelligence: A 9.5 Months Journey From Preconception to Birth (Intelligent Systems Reference Library #234)
by Smaranda Belciug Dominic IliescuThis book aims to provide a refreshing, friendly and exciting manner artificial intelligence (AI) theoretical concepts and practical methods applied in obstetrics and gynaecology. The book follows the nine and a half months journey from preconception till birth alongside with AI. It discusses topics such as the poignant role of AI in improving the change of women getting pregnant; AI methods for detecting congenital anomalies in first and second trimester foetal sonography; how AI aids physicians in determining what type of birth should be deployed (vaginal versus caesarean); how AI can predict pre-eclampsia, preterm birth, mortality, birth weight, miscarriage, postpartum depression, etc. Additionally, it provides information on AI used for perinatal depression, for the evaluation of the relationship between pollutants and pregnancy outcome and even how AI tools can improve physician training in labour and delivery. The book is designed for bioinformaticians, obstetric and gynaecology researchers and physicians, and all those who wish to learn how to explore, analyse, find novel potential solutions for the challenging domains: obstetrics and gynaecology. Likewise, this book will be useful for application engineers who wish to use AI paradigms in areas such as engineering and science too.
A Prehistory of the Cloud
by Tung-Hui HuWe may imagine the digital cloud as placeless, mute, ethereal, and unmediated. Yet the reality of the cloud is embodied in thousands of massive data centers, any one of which can use as much electricity as a midsized town. Even all these data centers are only one small part of the cloud. Behind that cloud-shaped icon on our screens is a whole universe of technologies and cultural norms, all working to keep us from noticing their existence. In this book, Tung-Hui Hu examines the gap between the real and the virtual in our understanding of the cloud. Hu shows that the cloud grew out of such older networks as railroad tracks, sewer lines, and television circuits. He describes key moments in the prehistory of the cloud, from the game "Spacewar" as exemplar of time-sharing computers to Cold War bunkers that were later reused as data centers. Countering the popular perception of a new "cloudlike" political power that is dispersed and immaterial, Hu argues that the cloud grafts digital technologies onto older ways of exerting power over a population. But because we invest the cloud with cultural fantasies about security and participation, we fail to recognize its militarized origins and ideology. Moving between the materiality of the technology itself and its cultural rhetoric, Hu's account offers a set of new tools for rethinking the contemporary digital environment.
A Prehistory of the Cloud (The\mit Press Ser.)
by Tung-Hui HuThe militarized legacy of the digital cloud: how the cloud grew out of older network technologies and politics.We may imagine the digital cloud as placeless, mute, ethereal, and unmediated. Yet the reality of the cloud is embodied in thousands of massive data centers, any one of which can use as much electricity as a midsized town. Even all these data centers are only one small part of the cloud. Behind that cloud-shaped icon on our screens is a whole universe of technologies and cultural norms, all working to keep us from noticing their existence. In this book, Tung-Hui Hu examines the gap between the real and the virtual in our understanding of the cloud. Hu shows that the cloud grew out of such older networks as railroad tracks, sewer lines, and television circuits. He describes key moments in the prehistory of the cloud, from the game “Spacewar” as exemplar of time-sharing computers to Cold War bunkers that were later reused as data centers. Countering the popular perception of a new “cloudlike” political power that is dispersed and immaterial, Hu argues that the cloud grafts digital technologies onto older ways of exerting power over a population. But because we invest the cloud with cultural fantasies about security and participation, we fail to recognize its militarized origins and ideology. Moving between the materiality of the technology itself and its cultural rhetoric, Hu's account offers a set of new tools for rethinking the contemporary digital environment.
Premiere Elements 8: The Missing Manual (Missing Manual)
by Chris GroverWhether you're aiming for YouTube videos or Hollywood-style epics, you need what Premiere Elements can't provide: crystal-clear guidance and real world know-how. This Missing Manual delivers. Packed with great ideas on how to spiff up your footage, this book helps you avoid the dreaded Help! I Never Do Anything With My Video syndrome. With this book, you'll learn how to use Premiere's two approaches to filmmaking: The quick-and-easy InstantMovie technique, and the classic, handcrafted approach for frame-by-frame editing with fine-tuned transitions, effects, and more. Premiere expert Chris Grover combines a touch of humor with insights, tips, and tricks culled from years of moviemaking experience to help you release your inner Scorsese. Create movies from start to finish with hands-on, step-by-step instructions Use InstantMovie to whip up a video ready for prime time Learn frame-by-frame editing to handcraft your story like the pros do Share your movie by saving it to disc, uploading it, or emailing it Add video effects that dazzle Use keyframes to precisely control cuts, special effects, and sound Tap Premiere's automated tools to analyze, organize, and rate your clips
Premiere Elements 8 For Dummies
by Keith UnderdahlThe book of choice for beginning digital video editorsThe popularity of digital video continues to grow, largely because of the dropping prices of cameras. Correspondingly, so does the number of novice digital video editors. This book is for the beginning video editor who is eager to get started using the vast array of tools that Adobe Premiere Elements offers.Veteran author Keith Underdahl covers all the essentials of using Adobe Premiere Elements 8 to import video, create clips, put those clips together, add effects, work with sound and music, and output to DVD or the Internet. You'll feel like a pro in no time!Adobe Premiere Elements is the user-friendly video-editing software for even the most novice video editorThis guide explains how to import video, edit clips, adjust sound, add music and effects, and moreIncludes tips for sharing movies on YouTube, Blu-ray discs, and mobile phonesTackles tricky topics in the fun and friendly way that has made the For Dummies brand world renownedWhether you're looking to use Adobe Premiere Elements so you can post a hilarious homemade movie on YouTube or create a memorable film for your next family gathering, Premiere Elements 8 For Dummies, 2nd Edition will show you how.
Premiere Pro CC Digital Classroom (Digital Classroom)
by Jerron Smith AGI Creative TeamA Complete Training Package! Full-color, step-by-step instructional bookVideo training from expert instructorsTutorials and lesson files on companion DVD You have a personal tutor in the Digital Classroom If you want expert instruction that fits into your schedule, the Digital Classroom series delivers. Expert instructors guide you through each lesson, helping you learn essential Premiere Pro CC skills at your own speed. Full-color, step-by-step instructions in the book are enhanced with video tutorials on the companion DVD. With this Digital Classroom training package, you have your own private instructor showing you the easiest way to learn Premiere Pro CC. Import video, audio, and still images and edit them together on the Timeline Add transitions and effects to your video to make your projects more engaging and appealing Automatically stabilize shaky footage with the Warp Stabilizer Animate layered Photoshop files to create onscreen graphics Create text and titles using the built-in Premiere Pro Titler Use Adobe Encore to author your projects to disk or for web distribution DVD and other supplementary materials are not included as part of the e-book file, but are available for download after purchase.
Premiere Pro CS5 and CS5.5 Digital Classroom
by Agi Creative Team Jerron SmithA book-and-DVD training package so you can learn Premiere Pro at your own pacePremiere Pro is a powerful, timeline-based video editing software, and this personal training course uses a full-color book plus video tutorials on DVD to teach you how to use all its features. Fifteen self-paced lessons encourage you to discover the creative possibilities that Adobe' s Premiere Pro presents. Step-by-step directions, lesson files, and an instructional video demonstrate the many exciting features of Premiere Pro. You can learn from leading instructors, and do it at your own pace.Premiere Pro is an advanced video-editing program available at an affordable price; this book-and-DVD package offers step-by-step training on its abilitiesPresents 15 lessons in full color, supported by video tutorials and lesson files on the DVD, all of which allow you to work at your own paceDemonstrates how to work with a variety of popular film styles featuring the latest in editing techniques at the highest quality possiblePremiere Pro Digital Classroom is like having your own personal instructor to teach you Premiere Pro right in your own home or office.
Premiere Pro CS6 Digital Classroom (Digital Classroom)
by Jerron Smith AGI Creative TeamYou have a personal tutor in the Digital Classroom If you want expert instruction that fits into your schedule, the Digital Classroom series delivers. Expert instructors guide you through 11 lessons, helping you learn essential Premiere Pro CS6 skills at your own speed. Full-color, step-by-step instructions in the book are enhanced with video tutorials at the companion Web site digitalclassroombooks.com. With this Digital Classroom training package, you have your own private instructor showing you the easiest way to learn Premiere Pro CS6. Import video, audio, and still images and edit them together on the Timeline Add transitions and effects to your video to make your projects more engaging and appealing Automatically stabilize shaky footage with the Warp Stabilizer Animate layered Photoshop files to create onscreen graphics Create text and titles using the built-in Premiere Pro Titler Use Adobe Encore to author your projects to disk or for web distribution Note: Video tutorials and other supplementary materials are not included as part of the e-book file, but are available for download after purchase. Instructions are located in the "Starting Up" section.
Prentice Hall Technology Education: Learning by Design, Revised Edition
by Michael Hacker Dave BurghardtNIMAC-sourced textbook
Prepare to Board! Creating Story and Characters for Animated Features and Shorts: Creating Story And Characters For Animated Features And Shorts
by Nancy BeimanSuccessful storyboards and poignant characters have the power to make elusive thoughts and emotions tangible for audiences. Packed with illustrations that illuminate and a text that entertains and informs, Prepare to Board, 3rd edition presents the methods and techniques of animation master, Nancy Beiman, with a focus on pre-production, story development and character design. As one of the only storyboard titles on the market that explores the intersection of creative character design and storyboard development, the third edition is an invaluable resource for both beginner and intermediate artists. Key Features Adapt key techniques, tips and tricks of experienced character designers and storyboard artists with 30 years of experience to your film, television and animation projects. Save time and money with workflow solutions and avoid common mistakes and problems with troubleshooting tips. Implement creative solutions for your own projects with this invaluable resource for beginner and intermediate artists with examples of what a good storyboard and character design should look like and example of poorly designed storyboards. and tricks. Further your artistic skill development with an interactive, companion website which will includes video tutorials, examples of animatics and good and bad pitching techniques.
Prepare Your Data for Tableau: A Practical Guide to the Tableau Data Prep Tool
by Tim Costello Lori BlackshearFocus on the most important and most often overlooked factor in a successful Tableau project—data. Without a reliable data source, you will not achieve the results you hope for in Tableau. This book does more than teach the mechanics of data preparation. It teaches you: how to look at data in a new way, to recognize the most common issues that hinder analytics, and how to mitigate those factors one by one. Tableau can change the course of business, but the old adage of "garbage in, garbage out" is the hard truth that hides behind every Tableau sales pitch. That amazing sales demo does not work as well with bad data. The unfortunate reality is that almost all data starts out in a less-than-perfect state. Data prep is hard. Traditionally, we were forced into the world of the database where complex ETL (Extract, Transform, Load) operations created by the data team did all the heavy lifting for us. Fortunately, we have moved past those days. With the introduction of the Tableau Data Prep tool you can now handle most of the common Data Prep and cleanup tasks on your own, at your desk, and without the help of the data team. This essential book will guide you through: The layout and important parts of the Tableau Data Prep toolConnecting to dataData quality and consistencyThe shape of the data. Is the data oriented in columns or rows? How to decide? Why does it matter?What is the level of detail in the source data? Why is that important?Combining source data to bring in more fields and rowsSaving the data flow and the results of our data prep workCommon cleanup and setup tasks in Tableau Desktop What You Will Learn Recognize data sources that are good candidates for analytics in TableauConnect to local, server, and cloud-based data sourcesProfile data to better understand its content and structureRename fields, adjust data types, group data points, and aggregate numeric dataPivot dataJoin data from local, server, and cloud-based sources for unified analyticsReview the steps and results of each phase of the Data Prep processOutput new data sources that can be reviewed in Tableau or any other analytics tool Who This Book Is For Tableau Desktop users who want to: connect to data, profile the data to identify common issues, clean up those issues, join to additional data sources, and save the newly cleaned, joined data so that it can be used more effectively in Tableau