Rezultati pretrage - learning algorithm

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  1. Chapter 2 Algorithms, Conventions and New Regulation Processes od Diaz-Bone, Rainer, Schrör, Simon

    Izdano 2024
    “…Developments in the accumulation of vast private datasets that are used to train automated machine learning algorithms pose new challenges for upholding these values. …”
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  2. Machine Learning for Camera-Based Monitoring of Laser Welding Processes od Hartung, Julia

    Izdano 2024
    “…The implementation uses machine learning methods. All algorithms consider the integration into industrial processes. …”
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  3. Media and Management od Andrijasevic, Rutvica, Chen, Julie Yujie, Gregg, Melissa, Steinberg, Marc

    Izdano 2024
    “…Studying the management innovations learned through media uncovers the evolving relationship between workers and employers. …”
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  4. Responsible Use of AI in Military Systems

    Izdano 2024
    “…The (mis)use of biased data sets in machine learning applications is well‑known, resulting in discrimination and exclusion of citizens. …”
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  5. Azure Machine Learning Studio ile Makine Öğrenmesi Uygulamaları od Torkul, Orhan, Selvi, İhsan Hakan, Şişci, Merve, Demircioğlu Diren, Deniz, Torkul, Bilal

    Izdano 2024
    “…For this reason, it is thought to be very important to understand and learn the theory, approaches, problems, algorithms, and assumptions of machine learning. …”
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  6. Tools and Algorithms for the Construction and Analysis of Systems

    Izdano 2024
    “…The open access book 3-volume set LNCS 14570-14573 constitutes the proceedings of the 30th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2024, which was held as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2024, during April 6-11, 2024, in Luxembourg. …”
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  7. Chapter Identifying Hazards in Construction Sites Using Deep Learning-Based Multimodal with CCTV Data od Son, Seongwoo, Quoc Tran, Dai, Jeon, Yuntae, Park, Minsoo, Park, Seunghee

    Izdano 2024
    “…In this study, a multimodal detection, and depth map estimation algorithm utilizing deep learning is proposed. In addition, the point cloud of the test site is acquired using a terrestrial laser scanning scanner, and the detected object's coordinates are projected into global coordinates using a homography matrix. …”
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  8. Chapter Semi-Automated Visual Quality Control Inspection During Construction or Renovation of Railways Using Deep Learning Techniques and Augmented Reality Visualization od Gounaridou, Apostolia, Pantraki, Evangelia, Dimitriadis, Vasileios, Tsakiris, Athanasios, Ioannidis, Dimosthenis, Tzovaras, Dimitrios

    Izdano 2024
    “…The construction industry stands to greatly benefit from the technological advancements in deep learning and computer vision, which can automate time-consuming tasks such as quality control. …”
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  9. Tools and Algorithms for the Construction and Analysis of Systems

    Izdano 2024
    “…The open access book 3-volume set LNCS 14570-14573 constitutes the proceedings of the 30th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2024, which was held as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2024, during April 6-11, 2024, in Luxembourg. …”
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  10. Chapter Enhancing the Realism of Virtual Construction Safety Training: Integration of Real-Time Location Systems for Real-World Hazard Simulations od Speiser, Kilian, Hong, Kepeng, Teizer, Jochen

    Izdano 2024
    “…Applying a logical filtering algorithm, we can process the RTLS data and ensure that the movements of the workers and equipment within the virtual environment are as realistic and representative as within the real world. …”
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  11. AI, Data, and Digitalization

    Izdano 2024
    Teme: “…machine learning…”
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  12. Chapter Scheduling Optimization of Electric Ready Mixed Concrete Vehicles Using an Improved Model-Based Reinforcement Learning od Chen, Zhengyi, Zhang, Xiao, Song, Changhao, Cheng, Jack C. P.

    Izdano 2024
    “…The results demonstrate the appropriateness of the proposed MDP formulation for tackling RMC delivery tasks. The PMD-MCTS algorithm and one of its ablation algorithms (PM-MCTS) have demonstrated superior performance compared to other benchmarks in either cost reduction or delay minimization, with PMD-MCTS requiring 30% less computation time than PM-MCTS…”
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  13. Design and Post Processing for Metal Additive Manufacturing

    Izdano 2024
    “…Today, these objects can be created using computer-aided design (CAD) models and elemental or alloyed metallic powders.This Special Issue of Materials, titled "Design and Post Processing for Metal Additive Manufacturing", sought submissions on the design of elements with predicted microstructure and mechanical properties, the use of artificial intelligence/machine learning (AI/ML) in AM, numerical algorithms for AM, and µ-CT magining for quality control.While AM's powder bed manufacturing provides the possibility of fabricating objects of any shape in one production step, it does come with some disadvantages. …”
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  14. Envisioning the Future of Mining

    Izdano 2024
    Teme: “…machine learning…”
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  15. Advances in Biomedical Image Processing and Analysis

    Izdano 2024
    “…Rapid growth in algorithms and computing power over recent years has spurred the emergence of machine learning and image processing techniques as new tools, which are rapidly entering every aspect of our life, from intelligent personal assistance such as Siri, Alexa, and Google Home to self-driving cars. …”
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