Search Results - "machines"

Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2021

Table of Contents: “…Assembly Planning -- Grasping -- Human-Machine Interaction -- Human-Robot Collaboration -- Industry 4.0 -- Machine Vision -- Robot Programming.…”
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Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2022

Subjects: “…Machine learning.…”
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Applications of Pattern Recognition

Subjects: “…Machine learning bicssc…”
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Annals of Scientific Society for Assembly, Handling and Industrial Robotics

Subjects: “…Machines, Tools, Processes.…”
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Molecular Motor Based on Single Chiral Tripodal Molecules Studied with STM by Skolaut, Julian

Subjects: “…Nano Machines…”
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Bewertung der Energieeffizienz von Antriebssystemen mobiler Arbeitsmaschinen am Beispiel Bagger by Sturm, Christoph

Subjects: “…Fahrermodellmobile machines…”
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Language Technologies for the Challenges of the Digital Age: 27th International Conference, GSCL 2017, Berlin, Germany, September 13-14, 2017, Proceedings by Georg Rehm

Subjects: “…support vector machines…”
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Molecular Motor Based on Single Chiral Tripodal Molecules Studied with STM by Skolaut, Julian

Subjects: “…Nano Machines…”
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Development and External Validation of a Machine Learning Tool to Rule Out COVID-19 Among Adults in the Emergency Department Using Routine Blood Tests: A Large, Multicenter, Real-World Study by Plante, Timothy B, Blau, Aaron M, Berg, Adrian N, Weinberg, Aaron S, Jun, Ik C, Tapson, Victor F, Kanigan, Tanya S, Adib, Artur B

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Efficacy of a vaginal suppository formulation prepared with Acacia arabica (Lam.) Willd. gum and Cinnamomum camphora (L.) J. Presl. in heavy menstrual bleeding analyzed using a machine learning technique by Mohamed Joonus Aynul Fazmiya, Arshiya Sultana, Md Belal Bin Heyat, Saba Parveen, Khaleequr Rahman, Faijan Akhtar, Azmat Ali Khan, Amer M. Alanazi, Zaheer Ahmed, Isabel de la Torre Díez, Julién Brito Ballester, Julién Brito Ballester, Julién Brito Ballester, Tirumala Santhosh Kumar Saripalli

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Nucleotide‐Binding Oligomerization Domain (NOD)-Like Receptor Subfamily C (NLRC) as a Prognostic Biomarker for Glioblastoma Multiforme Linked to Tumor Microenvironment: A Bioinformatics, Immunohistochemistry, and Machine Learning-Based Study by Han S, Zhang Z, Ma W, Gao J, Li Y

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Development of a machine learning-based model for predicting positive margins in high-grade squamous intraepithelial lesion (HSIL) treatment by Cold Knife Conization(CKC): a single-center retrospective study by Lin Zhang, Yahong Zheng, Lingyu Lei, Xufeng Zhang, Jing Yang, Yong Zeng, Keming Chen

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In Silico Prediction of New Inhibitors for Kirsten Rat Sarcoma G12D Cancer Drug Target Using Machine Learning-Based Virtual Screening, Molecular Docking, and Molecular Dynamic Simulation Approaches by Amar Ajmal, Muhammad Danial, Maryam Zulfat, Muhammad Numan, Sidra Zakir, Chandni Hayat, Khulood Fahad Alabbosh, Magdi E. A. Zaki, Arif Ali, Dongqing Wei

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The Ghost Is the Machine: How Can We Visibilize the Unseen Norms and Power of Global Health?... by Lisa Forman

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Estudio comparativo de implantes de superficie lisa y rugosa: Resultados a 36 meses Machined versus rough surface implants, a clinical study: 36-month follow-up by Jorge Alberto Arismendi, Ana Lucía Mesa, Luz Piedad García, Juan Fernando Salgado, Catalina Castaño, Richard Mejía

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PENGARUH JUMLAH ANGGOTA KELOMPOK BELAJAR PRAKTEK TERHADAP HASIL BELAJAR PESERTA DIDIK PADA MATA PELAJARAN ELECTRICAL MACHINE AND MOTOR CONTROL SISWA KELAS XI SMK NEGERI 12 BANDUNG by Zaenudin, -

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The Shallow and the Deep A biased introduction to neural networks and old school machine learning by Biehl, Michael

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The Novel in the Spanish Silver Age A Digital Analysis of Genre Using Machine Learning by Calvo Tello, José

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The Novel in the Spanish Silver Age A Digital Analysis of Genre Using Machine Learning by Calvo Tello, José

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Multiple-Aspect Analysis of Semantic Trajectories First International Workshop, MASTER 2019, Held in Conjunction with ECML-PKDD 2019, Würzburg, Germany, September 16, 2019, Proceed...

Table of Contents: “…Learning from our Movements - The Mobility Data Analytics Era -- Uncovering hidden concepts from AIS data: A network abstraction of maritime traffic for anomaly detection -- Nowcasting Unemployment Rates with Smartphone GPS data -- Online long-term trajectory prediction based on mined route patterns -- EvolvingClusters: Online Discovery of Group Patterns in Enriched Maritime Data -- Prospective Data Model and Distributed Query Processing for Mobile Sensing Data Streams -- Predicting Fishing Effort and Catch Using Semantic Trajectories and Machine Learning -- A Neighborhood-augmented LSTM Model for Taxi-Passenger Demand Prediction -- Multi-Channel Convolutional Neural Networks for Handling Multi-Dimensional Semantic Trajectories and Predicting Future Semantic Locations.…”
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