الصفحة 3
الصفحة 3
Earth science satellite remote sensing ; Vol.2 : Data, computational processing, and tools
Earth science satellite remote sensing has been rapidly expanding during the last decade. Volume 2 of this two volume monograph provides information on the Earth science remote sensing data information and data format such as HDF-EOS, and tools. It evaluates the current data processing approaches and introduces data searching and ordering from different public domains. Further it explores the remote sensing and GIS migration products and WebGIS applications. The core of this book arose from the workshop for Earth Science Satellite Remote Sensing held at George Mason University (GMU) in October 2002. Both volumes are designed to give scientists and graduate students with limited remote sensing background a thorough introduction to current and future NASA, NOAA and other Earth science remote sensing.
Driving smart medical diagnosis through AI-powered technologies and applications
Driving Smart Medical Diagnosis Through AI-Powered Technologies and Applications serves as a solution in this era of transformative healthcare and addresses these challenges head-on. It unravels the complexities surrounding the implementation of AI in healthcare, offering in-depth discussions on the latest breakthroughs. From unraveling the mysteries of AI-driven cataract detection to exploring the implications of decentralized mammography classification, the book is a valuable resource that equips scholars with the knowledge to navigate this innovative landscape.
Distributed systems : Concurrency and consistency
Explores the gray area of distributed systems and draws a map of weak consistency criteria, identifying several families and demonstrating how these may be implemented into a programming language. Unlike their sequential counterparts, distributed systems are much more difficult to design, and are therefore prone to problems. On a large scale, usability reminiscent of sequential consistency, which would provide the same global view to all users, is very expensive or impossible to achieve.
Distributed systems : Concepts and design
Aims to provide an understanding of the principles on which the Internet and other distributed systems are based; their architecture, algorithms and design; and how they meet the demands of contemporary distributed applications.
Distributed computing and internet technology Vol. 4317 ; 3rd International conference, ICDCIT 2006, Bhubaneswar, India, December 20-23, 2006
Constitutes the refereed proceedings of the Third International Conference on Distributed Computing and Internet Technology, ICDCIT 2006, held in Bhubaneswar, India in December 2006. This book features the papers addressing and covering the areas distributed computing, internet technology, system security, data mining, and software engineering
Distributed computing and internet Technology ; Vol. 3816 ; 2nd International conference, ICDCIT 2005, Bhubaneswar, India, December 22-24, 2005, Proceedings
The opening ceremony and pre-conference tutorials on various related topics were held on December 21. The technical program started on December 22 and continued for three days. The program was arranged in single track so as to enable participants to attend sessions of di?erent tracks. Papers from the DM, IT, SE, and SS tracks were divided into two sessions, whereas DC track sessions were held on the ?rst two days of the conference. The program also included two plenary talks. The ?rst talk was delivered by S. S. Iyengar from Louisiana State University, USA. The second talk was delivered by He Jifeng from the International Institute for Software Technology (IIST) Macau. Prof. Iyenger’s talk on “The Distributed Sensor Networks — An Emerging Technology” was focused on new ideas about the use of distributed systems for emerging technology, while Prof. Jifeng’s talk on “Linking Theories of Concurrency by Retraction” dealt with semantics of concurrency.
Discovery Science ; 11th International Conference, DS 2008, Budapest, Hungary, October 13-16, 2008. Proceedings
This book constitutes the refereed proceedings of the 11th International Conference on Discovery Science, DS 2008, held in Budapest, Hungary, in October 2008, co-located with the 19th International Conference on Algorithmic Learning Theory, ALT 2008.
Digitization of healthcare data using blockchain
Gives a detailed description of the integration of blockchain technology for Electronic Health Records and provides the research challenges to consider in various disciplines such as supply chain, drug discovery, and data management. he aim of the book is to investigate the concepts of blockchain technology and its association with the recent development and advancements in the medical field. Moreover, it focuses on the integration of workflow strategies like NLP, and AI which could be adopted for boosting the clinical documentation and electronic healthcare records (EHR) usage by bringing down the physician EHR data entry. Also, the book covers the usage of smart contracts for securing patient records. Digitization of Healthcare Data Using Blockchain presents the practical implementations that deal with developing a web framework for building highly usable healthcare applications, a simple blockchain-powered EHR system.
Digital workflows in architecture : Design - assembly - industry
The logics of digital processes in architecture have begun to structure the way that architects design, the way that builders build, and the way that industry is reorganizing. This book is a reference work on digital technologies as key factors in architectural design, fabrication and workflow organization. It presents essays and case studies from some of the leading voices on the topic.
Digital Transformation in Norwegian Enterprises
Presents a number of case studies on digital transformation in Norway, one of the fore-runners in the digital progress index established by the European Commission in 2020. They explore the process of adoption, diffusion and value generation from digital technologies, and how the use of different digital solutions has enabled Norwegian enterprises to digitally transform their operations and business models.
Digital platforms in finance and supply chain management : Governance, ethics, and industry 5.0
A comprehensive analysis of digital platforms as the driving force of the modern economy, exploring their evolution, governance, and integration across financial and supply chain ecosystems. It presents a synthesis of theories, strategic models, and empirical insights to address the complexities of platform economies, making it an essential resource for scholars, policymakers, and industry practitioners. It is structured around core principles of digital platforms, including their definition, key features, and transformative impact on value creation. It delves into governance and ethical considerations, examining global regulatory frameworks and the emerging paradigms of Industry 5.0, where digital platforms intersect with economic, social, and environmental sustainability. The theoretical foundations are rooted in network effects, New Economic Geography, Platform Economics, Agency Theory, and Systems Theory, offering a robust analytical framework for understanding scalability, competition, and strategic decision-making in platform ecosystems. Two important areas -finance and supply chains-are explored in depth.
Digital Marketing Fundamentals : OMCP's Official Guide to OMCA Certification
you’ll find: Full discussions of paid search marketing, email marketing, and marketing to mobile device users Exacting and focused instruction on all the competencies tested by the OMCP exam Accessible content suitable for experienced digital marketers looking for a new certification to boost their career, as well as novice practitioners trying to expand their skillset
Digital dentistry : An overview and future prospects
Focuses on recent technological advances in digital dentistry. It provides information on digital aspects in all dental fields including digital caries detection systems, digital color matching, and digital applications in periodontology, surgical implant placement, oral histopathology and pediatric dentistry.
Designing big data platforms : How to use, deploy, and maintain big data systems
Provides expert guidance and valuable insights on getting the most out of Big Data systems. Helps readers understand how to process large amounts of data with well-known Linux tools and database solutions, use effective techniques to collect and manage data from multiple sources, transform data into meaningful business insights, and much more. Author Yusuf Aytas, a software engineer with a vast amount of big data experience, discusses the design of the ideal Big Data platform: one that meets the needs of data analysts, data engineers, data scientists, software engineers, and a spectrum of other stakeholders across an organization. Detailed yet accessible chapters cover key topics such as stream data processing, data analytics, data science, data discovery, and data security. This real-world manual for Big Data technologies: Provides up-to-date coverage of the tools currently used in Big Data processing and management / Offers step-by-step guidance on building a data pipeline, from basic scripting to distributed systems / Highlights and explains how data is processed at scale / Includes an introduction to the foundation of a modern data platform
Design Technology in Contemporary Architectural Practice
Offers rare insights about how these firms apply technology to purposefully disrupt and support their creative design processes in order to then explore how technology can be integrated on an organisational level. The resulting practice stories are loosely tied to four chapters that discuss how Design Technology corresponds to studio culture, collaboration and delivery protocols, business opportunities, knowledge sharing, staff empowerment, and more. Focused on cultural and organisational challenges and opportunities. This book benefits both the professional market (such as design firms reflecting on their technology use), as well as the academic context (with its critical reflection on the interface between design process and technology support). Stories from the following design firms are included: Coop Himmelb(l)au ; Foster + Partners ; Bjarke Ingels Group (BIG) ; Zaha Hadid Architects ; Diller Scofidio + Renfo ; Heatherwick Studio ; Morphosis Architects ; SO-IL ; Woods Bagot ; Herzog & de Meuron ; LASSA
Design Drawing
Covers the basics of drawing, including line, shape, tone, and space. Guiding the reader step-by-step through the entire drawing process, this Third Edition also examines different types of drawing techniques such as multiview, paraline, and perspective drawings—and reveals how the application of these techniques creates remarkable results. • Features over 1,500 hand drawings—stunning illustrations in the author's signature style that reinforce the concepts and lessons of each chapter • Offers new exercises and illustrative examples that range in complexity • Presents all-new digital drawing topics, such as hybrid floor plans, digital models and fabrication, and hand-to-digital fluency • Includes access to a new website featuring videos of the author demonstrating freehand techniques in a step-by-step manner in the studio and on location
Database systems for advanced applications ; Vol. 3453 ; 10th international conference, DASFAA 2005, Beijing, China, April 17-20, 2005, Proceedings
Data Stream Mining and Resource Adaptive Computation.- Purpose Based Access Control for Privacy Protection in Database Systems.- Complex Networks and Network Data Mining.- Bioinformatics.- Indexing DNA Sequences Using q-Grams.- PADS: Protein Structure Alignment Using Directional Shape Signatures.- LinkageTracker: A Discriminative Pattern Tracking Approach to Linkage Disequilibrium Mapping.- Watermarking and Encryption.- Query Optimization in Encrypted Database Systems.- Watermarking Spatial Trajectory Database.- Effective Approaches for Watermarking XML Data.- XML Query Processing.- A Unifying Framework for Merging and Evaluating XML Information.- Efficient Evaluation of Partial Match Queries for XML Documents Using Information Retrieval Techniques.- PathStack: A Holistic Path Join Algorithm for Path Query with Not-Predicates on XML Data.- XML Coding and Metadata Management.- An Improved Prefix Labeling Scheme: A Binary String Approach for Dynamic Ordered XML.- Efficiently Coding and Indexing XML Document.- XQuery-Based TV-Anytime Metadata Management.- Data Mining.- Effective Database Transformation and Efficient Support Computation for Mining Sequential Patterns.
Data Technology in Materials Modelling
This book discusses advances in semantic interoperability for materials modelling, aiming at integrating data obtained from different methods and sources into common frameworks, and facilitating the development of platforms where simulation services in computational molecular engineering can be provided as well as coupled and linked to each other in a standardized and reliable way.
Data science, AI, and machine learning in drug development
The confluence of big data, AI, and machine learning has led to a paradigm shift in how innovative medicines are developed and healthcare delivered. To fully capitalize on these technological advances, it is essential to systematically harness data from diverse sources and leverage digital technologies and advanced analytics to enable data-driven decisions. Data science stands at a unique moment of opportunity to lead such a transformative change. Intended to be a single source of information, Data Science, AI, and Machine Learning in Drug Research and Development covers a wide range of topics on the changing landscape of drug R&D, emerging applications of big data, AI and machine learning in drug development, and the build of robust data science organizations to drive biopharmaceutical digital transformations
Data science on the Google cloud platform : Implementing end-to-end real-time data pipelines : From ingest to machine learning
Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP). This hands-on guide shows data engineers and data scientists how to implement an end-to-end data pipeline with cloud native tools on GCP. You'll work through a sample business decision by employing a variety of data science approaches. Follow along by building a data pipeline in your own project on GCP, and discover how to solve data science problems in a transformative and more collaborative way. Employ best practices in building highly scalable data and ML pipelines on Google Cloud Automate and schedule data ingest using Cloud Run Create and populate a dashboard in Data Studio Build a real-time analytics pipeline using Pub/Sub, Dataflow, and BigQuery Conduct interactive data exploration with BigQuery Create a Bayesian model with Spark on Cloud Dataproc Forecast time series and do anomaly detection with BigQuery ML Aggregate within time windows with Dataflow Train explainable machine learning models with Vertex AI Operationalize ML with Vertex AI Pipelines
