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Deliberative public engagement with science : An empirical investigation
This compact open access reference delves beyond popular concepts of educated consumers and an informed public by examining the science behind deliberative engagement. Using data from four longitudinal studies, the authors assess public engagement methods in deliberative discussions of ethical, legal, and social issues concerning innovations in nanotechnology. Coverage includes the theoretical origins of the studies, forms of engagement and variations used, and in-depth details on cognitive, affective, and social components that go into the critical thinking process and forming of opinions. Not only are the findings intriguing in and of themselves, but researchers from varied fields will also find them useful in pursuing their own projects.
Deepfake detection
Recently, various techniques of manipulating the video content have become available to everyone – online, one can find free applications e.g., for face swapping in videos. Such universal accessibility carries a notable risk of flooding online content with false information, affecting not only the greats of this world, but also the whole societies, also the rapid progress in synthetic image generation and manipulation has now come to a point where it raises significant concerns for the implications towards society. It is therefore necessary to develop a verification tool that will help assess the authenticity of the videos posted on the internet. This project describes the approach of using artificial intelligence solutions to detect doctored videos.
Deepfake detection
The rise of large language models (LLMs) and the increasing sophistication of deepfake images have made detecting synthetic content a pressing challenge. Several approaches have been proposed to tackle this problem, including statistical analysis, and machine learning algorithms. In this project, A novel zero-shot approach is proposed that utilizes the power of LLMs to detect fake text. The pre-trained LLM is fine-tuned to enhance its ability to differentiate real and fake text. The approach uses the LLM to detect text by analyzing the log probabilities of the text. For detecting fake images, computer vision algorithms and neural networks are used to analyze facial features. The facial region is cropped and preprocessed and the neural network identifies patterns indicative of synthetic content.
Deep space probes : To the outer solar system and beyond
This second edition includes an entirely new chapter on holographic message plaques for future interstellar probes – a NASA-funded project.
Deep learning pipeline : Building a deep learning model with TensorFlow
Build your own pipeline based on modern TensorFlow approaches rather than outdated engineering concepts. This book shows you how to build a deep learning pipeline for real-life TensorFlow projects. You'll learn what a pipeline is and how it works so you can build a full application easily and rapidly. Then troubleshoot and overcome basic Tensorflow obstacles to easily create functional apps and deploy well-trained models. Step-by-step and example-oriented instructions help you understand each step of the deep learning pipeline while you apply the most straightforward and effective tools to demonstrative problems and datasets.
Deep Data Analytics for New Product Development
The benefits of reading this book are twofold. The first is an understanding of the stages of a new product development process from ideation through launching and tracking, each supported by information about customers. The second benefit is an understanding of the deep data analytics for extracting that information from data. These analytics, drawn from the statistics, econometrics, market research, and machine learning spaces, are developed in detail and illustrated at each stage of the process with simulated data. The stages of new product development and the supporting deep data analytics at each stage are not presented in isolation of each other, but are presented as a synergistic whole.
David Chipperfield Architects = Architektur und Baudetails: Architecture and Construction Details
Supplemented by three current projects. It gives a glimpse behind the scenes, describes processes and provides plenty of building details.
Dataset Studio
Data is the new oil, which means that AI engineers can face difficulties in locating suitable datasets. Dataset Studio is a comprehensive platform designed to support AI engineers in the creation and optimization of datasets. This project offers a diverse range of services that encompass data collection, data augmentation, and data classification. As a result, this software empowers engineers by automatically generating structured data through the utilization of advanced tools and AI techniques. By automating the laborious tasks of manual data collection and extraction, Dataset Studio effectively streamlines the workflow for AI engineers, enabling them to save valuable time and focus on the more intricate aspects of dataset development and refinement.
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
Data Mining : A Knowledge Discovery Approach
This book on data mining details the unique steps of the knowledge discovery process that prescribe the sequence in which data mining projects should be performed. Data Mining offers an authoritative treatment of all development phases from problem and data understanding through data preprocessing to deployment of the results. This knowledge discovery approach is what distinguishes this book from other texts in the area. It concentrates on data preparation, clustering and association rule learning (required for processing unsupervised data), decision trees, rule induction algorithms, neural networks, and many other data mining methods, focusing predominantly on those which have proven successful in data mining projects.
Dar Al-Ezz tower
The project is a residential tower in the city of Sweida. The building consists of three floor blocks with expansion joints between them. Each block consists of twelve repeated floors, a ground floor and a basement used as a shelter.
Damas Circuit : حلبة سباق دمشق
Project’s objectives : Economical objectives : - to be home to some of the best sporting actions and racing activities - to be an important land mark in Damascus that attracts many visitors - to be a place that hosts big events in Damascus Social and cultural objectives : - Help raise entertainment and attraction in the region - Absorb the youth’s energy and direct it into a safe environment away from the streets
Cybersecurity of Digital Service Chains : Challenges, Methodologies, and Tools
This book presents the main scientific results from the H2020 GUARD project. The GUARD project aims at filling the current technological gap between software management paradigms and cybersecurity models, the latter still lacking orchestration and agility to effectively address the dynamicity of the former. This book provides a comprehensive review of the main concepts, architectures, algorithms, and non-technical aspects developed during three years of investigation; the description of the Smart Mobility use case developed at the end of the project gives a practical example of how the GUARD platform and related technologies can be deployed in practical scenarios.
CyberParks – The Interface Between People, Places and Technology: New Approaches and Perspectives
This book is about public open spaces, about people, and about the relationship between them and the role of technology in this relationship. It is about different approaches, methods, empirical studies, and concerns about a phenomenon that is increasingly being in the centre of sciences and strategies – the penetration of digital technologies in the urban space. As the main outcome of the CyberParks Project, this book aims at fostering the understanding about the current and future interactions of the nexus people, public spaces and technology. It addresses a wide range of challenges and multidisciplinary perspectives on emerging phenomena related to the penetration of technology in people’s lifestyles - affecting therefore the whole society, and with this, the production and use of public spaces. Cyberparks coined the term cyberpark to describe the mediated public space, that emerging type of urban spaces where nature and cybertechnologies blend together to generate hybrid experiences and enhance quality of life.
Customer Integration in Industrial Innovation Projects
The development of product innovations is permanently challenged by the customers’ rapidly evolving demand for new products and technologies. New approaches for integrating customers into the product innovation process are required and have been exemplified in a software engineering context by Extreme Programming. Patricia Sandmeier demonstrates how a transfer of elements from Extreme Programming to the development practice of industrial products can improve customer integration activities and the innovativeness of the resulting new products. Based on an in-depth case study analysis of two industrial firms and two technical service firms she presents a conceptual model for the integration of customer contributions into the product innovation process. Finally, the author proposes a product innovation process based on discrete product development steps as well as a ‘customer-centered innovation cell’ enabling the development of truly innovative product solutions together with customers.
Curriculum Reform in the European Schools : Towards a 21st Century Vision
Examines the modern role of the European School system within the European Union, at a time when the global economy demands a new vision for contemporary education. The European schools are currently in a state of crisis: their 60-year-old tradition of bilingual and multilingual education is being strained by rapid EU expansion and the removal of English speaking teachers as a result of Brexit. Their tried and tested model of mathematics and science education has rapidly been overtaken by new developments in pedagogy and assessment research, while recruitment and retention of students and teachers has become increasingly fraught as European member states review what they are, and what they are not, prepared to fund. The authors draw on original and empirical research to assess the European Schools’ place in a new Europe where the entire post-war European Project is potentially at risk. This well-researched volume will be of interest to practitioners working in European schools as well as students and scholars of EU politics and international education.
Cultivating Teacher Resilience : International Approaches, Applications and Impact
This book follows the development of the Building Resilience in Teacher Education (BRiTE) project across Australia and internationally. Drawing on the success of this project and the related research collaborations that have since emerged, it highlights the importance of cultivating resilience at various stages of teachers’ careers.
Crop Biosecurity : Assuring our Global Food Supply
Prevention and preparedness are the two basic approaches to maximize food security against any sort of tampering, whether natural, inadvertent or intentional. The NATO funded project “Tools for crop biosecurity” was designed to strengthen the cooperation among U.S., Europe and Israel in the field of crop biosecurity and to generate awareness on how the psychological, economic and cultural consequences of crop bioterrorism, especially attacks on soft targets such as crop seeds, could have a disproportionate adverse effect on Mediterranean agriculture and, more generally, on society.This book illustrates the achievements of the project originated from the workshops organized during the project itself taking in consideration main microbiological threads posed to crops, the tools to recognize and to control them, the needs for international cooperation and research funds to create networks which can face emerging risks for agriculture.
Critical Success Factors of Offshore Software Develpment Projects : The Perspective of German-Speaking Companies
In an effort to cut costs and re-focus on their core competences, The author develops a model that comprises 29 critical success factors which are classified into four distinct groups: internal suitability, internal management, external suitability, and external management factors. With regard to the developed model, both the implementation of an online survey and the conduction of two in-depth case studies show that the external management factors are particularly relevant for the successful implementation of an offshore software development project and that the perception of the individual critical success factors greatly depends on the company perspective.
Crisis of the Criminal Law in the Democratic Constitutional State: Manifestations and Trends
Shares the results of project research granted by the Castilla-La Mancha government, which has been composed by philosophers of law and criminal law researchers, whose main conclusions are represented by the manifestations and trends of the current crisis of the constitutional State. The works identify these trends and manifestations in order to develop alternatives and remedies to solve the current negation process that classical liberties are involved, from the point of view of philosophy, policy, and dogmatic
