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Predictive Data Modelling for Biomedical Data and Imaging (River Publishers Series in Biotechnology and Medical Research)
by Poonam Tanwar K. Kalaiselvi Haider Raza Seema Rawat Tapas KumarIn this book, we embark on a journey into the realm of predictive data modeling for biomedical data and imaging in healthcare. It explores the potential of predictive analytics in the field of medical science through utilizing various tools and techniques to unravel insights and enhance patient care. This volume creates a medium for an interchange of knowledge from expertise and concerns in the field of predictive data modeling. In detail, the research work on this will include the effective use of predictive data modeling algorithms to run image analysis tasks for understanding.Predictive Data Modelling for Biomedical Data and Imaging is divided into three sections, namely Section I – Beginning of Predictive Data Modeling for Biomedical Data and Imaging/Healthcare, Section II – Data Design and Analysis for Biomedical Data and Imaging/Healthcare, and Section III – Case Studies of Predictive Analytics for Biomedical Data and Imaging/Healthcare. We hope this book will inspire further research and innovation in the field of predictive data modeling for biomedical data and imaging in healthcare. By exploring diverse case studies and methodologies, this book contributes to the advancement of healthcare practices, ultimately improving patient outcomes and well-being.
Predictive Data Security using AI: Insights and Issues of Blockchain, IoT, and DevOps (Studies in Computational Intelligence #1065)
by Robin Singh Bhadoria Hiren Kumar Thakkar Mayank SwarnkarThis contributed volume consists of 11 chapters that specifically cover the security aspects of the latest technologies such as Blockchain, IoT, and DevOps, and how to effectively deal with them using Intelligent techniques. Moreover, machine learning (ML) and deep learning (DL) algorithms are also not secured and often manipulated by attackers for data stealing. This book also discusses the types of attacks and offers novel solutions to counter the attacks on ML and DL algorithms. This book describes the concepts and issues with figures and the supporting arguments with facts and charts. In addition to that, the book provides the comparison of different security solutions in terms of experimental results with tables and charts. Besides, the book also provides the future directions for each chapter and novel alternative approaches, wherever applicable. Often the existing literature provides domain-specific knowledge such as the description of security aspects. However, the readers find it difficult to understand how to tackle the application-specific security issues. This book takes one step forward and offers the security issues, current trends, and technologies supported by alternate solutions. Moreover, the book provides thorough guidance on the applicability of ML and DL algorithms to deal with application-specific security issues followed by novel approaches to counter threats to ML and DL algorithms. The book includes contributions from academicians, researchers, security experts, security architectures, and practitioners and provides an in-depth understanding of the mentioned issues.
Predictive Dialing Fundamentals: An Overview of Predictive Dialing Technologies, Their Applications, and Usage Today
by Aleksander Szlam Ken ThatcherWho should read this book? This is a must read if you're a newcomer to predictive dialers and responsible for analyzing, recommending and deploying inbound and outbound call center solutions; or, if you're in the midst of implementing a predictive dialer,
Predictive Intelligence for Data-Driven Managers: Process Model, Assessment-Tool, IT-Blueprint, Competence Model and Case Studies (Future of Business and Finance)
by Uwe SeebacherThis book describes how companies can easily and pragmatically set up and realize the path to a data-driven enterprise, especially in the marketing practice, without external support and additional investments. Using a predictive intelligence (PI) ecosystem, the book first introduces and explains the most important concepts and terminology. The PI maturity model then describes the phases in which you can build a PI ecosystem in your company. The book also demonstrates a PI self-test which helps managers identify the initial steps. In addition, a blueprint for a PI tech stack is defined for the first time, showing how IT can best support the topic. Finally, the PI competency model summarizes all elements into an action model for the company. The entire book is underpinned with practical examples, and case studies show how predictive intelligence, in the spirit of data-driven management, can be used profitably in the short, medium, and long terms.
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 Ehsan Adeli Islem Rekik 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: 5th International Workshop, PRIME 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings (Lecture Notes in Computer Science #13564)
by Ehsan Adeli Islem Rekik Sang Hyun Park Celia CintasThis book constitutes the proceedings of the 5th International Workshop on Predictive Intelligence in Medicine, PRIME 2022, held in conjunction with MICCAI 2022 as a hybrid event in Singapore, in September 2022.The 19 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: 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 Ehsan Adeli Islem Rekik Sang Hyun Park Ghada Zamzmi Celia CintasThis 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: 7th International Workshop, PRIME 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings (Lecture Notes in Computer Science #15155)
by Ehsan Adeli Islem Rekik Sang Hyun Park Celia CintasThis volume constitutes the refereed proceedings of the 7th International Workshop on Predictive Intelligence in Medicine, PRIME 2024, held in conjunction with the 27th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco in October 2024. The 17 full papers presented here were carefully reviewed and selected from 22 submissions. These papers focus on the current, cutting-edge Predictive models and methods with applications in the field of Medical data analysis, for early disease prediction and prevention.
Predictive Intelligence in Medicine: Second International Workshop, PRIME 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings (Lecture Notes in Computer Science #11843)
by Ehsan Adeli Islem Rekik Sang Hyun ParkThis book constitutes the proceedings of the Second International Workshop on Predictive Intelligence in Medicine, PRIME 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. The 18 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: Third International Workshop, PRIME 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings (Lecture Notes in Computer Science #12329)
by Ehsan Adeli Islem Rekik 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 Learning Control for Unknown Nonaffine Nonlinear Systems: Theory and Applications (Intelligent Control and Learning Systems #8)
by Ting Lei Zhongsheng Hou Qiongxia Yu Fengchen Tian 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 Simon James Fong Joao Alexandre Marques Francisco Nauber Gois José Xavier-NetoCOVID-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 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.
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 and Preventive Measures for Covid-19 Pandemic (Algorithms for Intelligent Systems)
by Mamta Mittal Lalit Mohan Goyal Praveen Kumar Khosla Dolly SharmaThis book explores the inputs with regard to individuals and companies who have developed technologies and innovative solutions, bioinformatics, datasets, apps for diagnosis, etc., that can be leveraged for strengthening the fight against coronavirus. It focuses on technology solutions to stop Covid-19 outbreak and mitigate the risk. The book contains innovative ideas from active researchers who are presently working to find solutions, and they give insights to other researchers to explore the innovative methods and predictive modeling techniques. The novel applications and techniques of established technologies like artificial intelligence (AI), Internet of things (IoT), big data, computer vision and machine learning are discussed to fight the spread of this disease, Covid-19. This pandemic has triggered an unprecedented demand for digital health technology solutions and unleashing information technology to win over this pandemic.
Predictive and Simulation Analytics: Deeper Insights for Better Business Decisions
by Walter R. PaczkowskiThis book connects predictive analytics and simulation analytics, with the end goal of providing Rich Information to stakeholders in complex systems to direct data-driven decisions. Readers will explore methods for extracting information from data, work with simple and complex systems, and meld multiple forms of analytics for a more nuanced understanding of data science. The methods can be readily applied to business problems such as demand measurement and forecasting, predictive modeling, pricing analytics including elasticity estimation, customer satisfaction assessment, market research, new product development, and more. The book includes Python examples in Jupyter notebooks, available at the book's affiliated Github.This volume is intended for current and aspiring business data analysts, data scientists, and market research professionals, in both the private and public sectors.
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 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.
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.
Preferential Voting and Applications: Approaches Based on Data Envelopment Analysis (Studies in Systems, Decision and Control #471)
by Witold Pedrycz Tofigh Allahviranloo Farhad Hosseinzadeh Lotfi Mehdi Soltanifar Hamid SharafiThis 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.
Preisdifferenzierung im Omni Channel-Handel (Marktorientiertes Management)
by Mona EcklMona Eckl untersucht die Kanalpräferenz von Omni Channel-Konsumenten und die Akzeptanz kanalbasierter Preisdifferenzen im Omni Channel-Handelskontext. Die Autorin analysiert den Einfluss unterschiedlicher Kosten- und Nutzenfaktoren auf die Offline-, Online- und Mobile-Kanalpräferenz in der Kaufphase und entwickelt auf Basis dessen eine Strategie zur wertbasierten Kommunikation unterschiedlicher Preise in den Kanälen eines Omni Channel-Händlers. Anschließend erforscht sie, wie Konsumenten auf kanalbasierte Preisdifferenzen mit höheren Offline-, Online- oder Mobile-Preisen reagieren und überprüft, inwieweit der Einsatz der zuvor entwickelten Kommunikationsstrategie die Reaktion auf ebensolche Preispremien beeinflussen kann. Mithilfe zweier empirischer Studien generiert die Autorin neue Erkenntnisse, insbesondere im Hinblick auf Preispremien in digitalen Kanälen. Sie leitet überdies wertvolle praktische Handlungsempfehlungen für die Preis- und Kanalgestaltung von Mehrkanalhändlern ab.
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 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