503 hasil untuk machine learning
Menampilkan 461–480 · 0,60 detik · RSS
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Digital Twin and Blockchain for Sustainable Healthcare 5.0
…efficient and secure data management. • Studies utilisation of advanced machine learning algorithms and predictive models in healthcare applications. • Discusses how the integration of digital twin and blockchain technologies can contribute to sustainable development in personalised healthcare. •…
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Digital Histories
…apply an exemplary array of methods, such as digital metadata analysis, machine learning, network analysis, topic modelling, named entity recognition, collocation analysis, critical search, and text and data mining. The volume argues that digital history is entering a mature phase, digital history…
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Information and Knowledge Organisation in Digital Humanities
…heritage collections, the book also includes chapters that focus on machine learning, knowledge graphs, text analysis, text annotations and network analysis. Other topics covered include: semantic technologies, conceptual schemas and data augmentation, digital scholarly editing, metadata creation…
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Proceedings of the Cardiff University School of Engineering Research Conference 2024
…that help create a sustainable and greener economy. 3. AI and deep learning focuses on the application of artificial intelligence and machine learning techniques in engineering. The School’s research in this field harnesses the power of AI in medical applications and in agriculture, improving the…
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Modulation
…perspective drawing, the tuning of radio signals and the latent spaces of machine learning. Each chapter demonstrates how cultures of modulation have organised the visible—technically, aesthetically and politically. Drawing on philosophy, media archaeology and art history, this volume reinterprets…
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Computational Modelling of Concrete and Concrete Structures
…as well as masonry structures. Recent developments include methods of machine learning, novel discretisation methods, probabilistic models, and consideration of a growing number of micro-structural aspects in multi-scale and multi-physics settings. In addition, trends towards the material scale…
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The Datacenter as a Computer
…figures. New topics range from additional workloads like video streaming, machine learning, and public cloud to specialized silicon accelerators, storage and network building blocks, and a revised discussion of data center power and cooling, and uptime. Further discussions of emerging trends and…
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Democratic Frontiers
…accumulation of vast private datasets that are used to train automated machine learning algorithms pose new challenges for upholding these values. Social media platforms, while the key driver of today’s information disorder, also afford new opportunities for organized social activism. The US and…
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Systems, Smart Technologies, and Innovation for Society
…it explores how emerging technologies such as artificial intelligence, machine learning, the Internet of Things and big data are transforming these fields, solving global problems and improving the quality of life. It should be noted that the novelty of the book lies in presenting research that…
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Artificial Intelligence-based Cybersecurity for Connected and Automated Vehicles
…project applies a proactive approach based on Artificial Intelligence and Machine Learning techniques to detect and prevent potential cybersecurity threats to autonomous and connected vehicles. This approach has been addressed based on four fundamental pillars, namely: Autonomous Mobility…
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Counter-Terrorism, Ethics and Technology
…respond to terrorist activities, or counterintelligence agencies use of machine learning to detect suspicious behavior and hacking computers to gain access to encrypted data, technologies play a significant role in modern counter-terrorism. However, each of these technologies carries with them a…
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Chapter Utilizing 360-Degree Images for Synthetic Data Generation in Construction Scenarios
Computer vision-based safety monitoring requires machine learning models trained on generalized datasets covering various viewpoints, surface properties, and lighting conditions. However, capturing high-quality and extensive datasets for some construction scenarios is challenging at real job sites…
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Entity-Oriented Search
…basic probability and statistics concepts as well as a basic knowledge of machine learning concepts and supervised learning algorithms.
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Chapter Integrating Green Roofs into Building Information Modeling (BIM): A Computational Approach for Sustainable Building Design
…exploring additional performance metrics, and incorporating AI and machine learning techniques. By addressing these aspects, this research contributes to a comprehensive understanding of the integration of green roofs and BIM. It provides designers and researchers with a practical tool for…
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Computational Modelling of Concrete and Concrete Structures
…encompass data-driven approaches, artificial intelligence, and machine learning methods, as well as novel discretization techniques, probabilistic models, and an increasing focus on microstructural aspects in a multi-scale and multi-physics context. Additionally, there is a noticeable trend towards…
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Experimental Design for Data Science and Engineering
…analysis, Monte Carlo methods, sensitivity analysis, optimization, and machine learning with experimental design techniques in statistics. Methods are explained using many real experiments from physical sciences and engineering. Experimental design techniques for analysis and compression of big…
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Privacy-Aware Monitoring for Assisted Living
…of AAL systems. • Describes the core competencies, including machine learning, privacy preservation in audio and video, data security, and security by design. • Presents in-depth reviews and case studies on AAL applications, such as fall detection, gait and frailty recognition, activities of daily…
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AI Evidence and Criminal Proceedings
…and preventive approaches has been amplified by AI technologies using machine learning and deep neural networks. Within AI’s wide presence in the criminal justice system, this volume investigates only the evidentiary use of AI: when law enforcement authorities rely on AI for investigating and…
Juga tersedia di: OAPEN
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Chapter 2 Algorithms, Conventions and New Regulation Processes
…accumulation of vast private datasets that are used to train automated machine learning algorithms pose new challenges for upholding these values. Social media platforms, while the key driver of today’s information disorder, also afford new opportunities for organized social activism. The US and…