Arama Sonuçları - data processing technologies

Manifold Learning Yazar: Ryckelynck, David, Casenave, Fabien, Akkari, Nissrine

Konular: “…thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materials::TGP Production and industrial engineering…”
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Der lange Weg zum Internet Yazar: Röhr, Matthias

Konular: “…Data Processing…”
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Chapter 2 Algorithms, Conventions and New Regulation Processes Yazar: Diaz-Bone, Rainer, Schrör, Simon

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Chapter Solar Potential and Energy Assessment Data in U-BEM Models: Interoperability Analysis Between Performance Simulation Tools and OpenBIM/GIS Platforms Yazar: Donatiello, Maria Grazia, Rossi, Federico, ZANCHETTA, CARLO, Giorio, Martina, Paparella, Rossana

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Chapter Fast and Secure BIM Design Using Blockchain: An Example of Makeshift Hospital Project for COVID-19 Treatment in Hong Kong Yazar: Gong, Xingbo, Das, Moumita, Liu, Hao, Tao, Xingyu, Xu, Yuqing, Cheng, Jack C. P., Zheng, Chengliang

“…The emerging blockchain technology offers an immutable and traceable collaboration environment. …”
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Chapter BIM-GIS and BI Integration for Facility and Occupancy Management of University Assets: The UNITO Pilot Case Yazar: Di Giuda, Giuseppe Martino, Accardo, Daniele, Gasbarri, Paola, Meschini, Silvia, Tagliabue, Lavinia Chiara, Scomparin, Laura

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Chapter Blockchain-BPMN Integrated Framework for Construction Management Yazar: Ye, Xuling, Tao, Xingyu, Cheng, Jack C. P., König, Markus

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Chapter Linked Data for the Categorization of Failures Mechanisms in Existing Unreinforced Masonry Buildings Yazar: Leonardi, Maria Laura, Cursi, Stefano, Oliveira, Daniel V., Azenha, Miguel, Gigliarelli, Elena

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Chapter Integration Between Enterprise Resource Planning and Building Information Modelling Yazar: Julea, Daniela, Raj, Kavita, Rigamonti, Giuseppe, Vassena, Giorgio Paolo Maria, Federici, Paola, Comai, Sara, Mastrolembo Ventura, Silvia, CIRIBINI, Angelo Luigi Camillo

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Supply Chain Operations in the Arctic

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Chapter Multi-Robot Federated Edge Learning Framework for Efficient Coordination and Information Management in Smart Construction Yazar: Liu, Xinqi, Wang, Jihua, Huang, Ruopan, Pan, Wei

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Chapter L’Ateneo e il mondo della tecnica Yazar: Facchini, Bruno, Vicario, Enrico

“…Along these 50 years, several transitions have been triggered by technological advancements, from Personal Computers, the World Wide Web and cellular telephony, to the interconnection of data and computing capabilities, integrated into industrial processes and supported by the development of transportation systems, up to the most recent challenges of artificial intelligence and energy transition. …”
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CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality

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Chapter Gen AI and Interior Design Representation: Applying Design Styles Using Fine-Tuned Models Yazar: Jeong, Hyun, Kim, Youngchae, Yoo, Youngjin, Cha, SeungHyun, Lee, Jin-Kook

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Responsible Use of AI in Military Systems

Konular: “…thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology…”
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Digital Supply Chain Transformation

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Assessing Progress in Decarbonizing Spain’s Building Stock

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Das Recht der Daten im Kontext der Digitalen Ethik

“…In the process of digitalization and artificial intelligence (AI), data protection and digital ethics are trending topics. …”
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Chapter Project Management Information System (PMIS) Dashboard as a Digital Twin to Enhance Infrastructure Project Delivery: A Case Study of Ameroro Dam Project Yazar: Saputra, Rizky Agung, Fajarwanto, Agung, Widyastuti, Amy Rachmadhani, Munandar, Danang Aris, Setiawan, Herdy, Wardani, Sari Gita, Kadir, Abdul Rahman, Amar, Muhammad Yunus

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Azure Machine Learning Studio ile Makine Öğrenmesi Uygulamaları Yazar: Torkul, Orhan, Selvi, İhsan Hakan, Şişci, Merve, Demircioğlu Diren, Deniz, Torkul, Bilal

“…Microsoft Azure Machine Learning Studio (classic) platform helps users in the process of obtaining information from data by providing many conveniences to users in developing cloud-based machine learning applications and distributing them as a web service. …”
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