Showing 1,181 - 1,200 results of 3,870 for search 'edge process', query time: 0.12s Refine Results
  1. 1181
  2. 1182

    Introducing <tt>ActiveInference.jl</tt>: A Julia Library for Simulation and Parameter Estimation with Active Inference Models by Samuel William Nehrer, Jonathan Ehrenreich Laursen, Conor Heins, Karl Friston, Christoph Mathys, Peter Thestrup Waade

    Published 2025-01-01
    “…To make active inference agents with Partially Observable Markov Decision Process (POMDP) generative models available to the growing research community using Julia, we re-implemented the pymdp library for Python. …”
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    Article
  3. 1183

    SEM and EDS Characterisation of Layering TiOx Growth onto the Cutting Tool Surface in Hard Drilling Processes of Ti-Al-V Alloys by M. Álvarez, J. Salguero, J. A. Sánchez, M. Huerta, M. Marcos

    Published 2011-01-01
    “…Furthermore, this multi-layer adhered allows initially the built-up edge (BUE) development close to the edge of the tool by a mechanical adhesion mechanism. …”
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    Article
  4. 1184

    Effects of mandrel velocity on residual stresses created in cold expansion process of adjacent holes for AA6016-T6 and AA1100 aluminum alloys by Saeed Yaghoubi, Ali Shirazi

    Published 2024-11-01
    “…The obtained results revealed that the values of the residual stresses created in the sheets depend on the velocity of the process especially at the edge of the sheets holes. …”
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    Article
  5. 1185

    Cutting Force Prediction of Ti6Al4V using a Machine Learning Model of SPH Orthogonal Cutting Process Simulations by Hagen Klippel, Eduardo Gonzalez Sanchez, Margolis Isabel, Matthias Röthlin, Mohamadreza Afrasiabi, Kuffa Michal, Konrad Wegener

    Published 2022-03-01
    “…In this paper, a machine learning model of the orthogonal cutting process of Ti6Al4V is proposed to predict the cutting and feed forces for a wide range of process conditions with regards to rake angle, clearance angle, cutting edge radius, feed and cutting speed. …”
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    Article
  6. 1186

    COMPARATIVE ESTIMATION OF THE STATE OF THE CAPILLARY NETWORK OF THE MUCOUS MEMBRANE OF UNDERDENTURE SPACE AND SPEED OF THE ATROPHY OF ALVEOLAR PROCESS WITH PROSTHETICS MADE FROM DI... by V.G. Shuturminskiy

    Published 2018-03-01
    “…Conclusions: the conducted investigations showed that the prostheses from the copolymer “Tripplene R 359” due to the optimum elasticity and the absence of laminar edge maximally preserve the vascular network of the mucous membrane of the cavity of mouth, is reduced the speed of the atrophy of alveolar processes practically to the control indices; and they decrease a quantity of development of traumatic prothetic stomatites. …”
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  7. 1187

    "Influence of field synergy torsion screw on extrusion performance of rubber materials" by "PAN Wei1, HUANG Shi-zheng1, ZHU Jia-wei1, Mohini SAIN2, YANG Wei-min3, ZENG Xian-kui1, JIAN Ran-ran1,2,4"

    Published 2024-10-01
    “…The simulations focused on the effects of these screw structures on rubber material mixing, heat transfer, and plasticizing uniformity during the extrusion process. The results indicated that the overall performance of the field synergy torsion screw was generally superior to that of the conventional threaded screw, with the screw having a segmented edge helix angle of 45° being the optimal configuration. …”
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    Article
  8. 1188
  9. 1189

    Toward 6G: Latency-Optimized MEC Systems with UAV and RIS Integration by Abdullah Alshahrani

    Published 2025-03-01
    “…Multi-access edge computing (MEC) has emerged as a cornerstone technology for deploying 6G network services, offering efficient computation and ultra-low-latency communication. …”
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    Article
  10. 1190

    Batch Cooling Crystallization of a Model System Using Direct Nucleation Control and High-Performance In Situ Microscopy by Josip Budimir Sacher, Nenad Bolf, Marko Sejdić

    Published 2024-12-01
    “…The laboratory system and process control software were developed in-house. …”
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    Article
  11. 1191

    Context-Aware Markov Sensors and Finite Mixture Models for Adaptive Stochastic Dynamics Analysis of Tourist Behavior by Xiaolong Chen, Hongfeng Zhang, Cora Un In Wong, Zhengchun Song

    Published 2025-06-01
    “…Furthermore, the framework leverages edge computing and probabilistic programming for efficient, low-latency implementation. …”
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    Article
  12. 1192

    INCREASING EFFICIENCY OF REPAIRING, MANUFACTURING AND OPERATION OF THE TPP FACILITIES BY TECHNOLOGY OF GAS-THERMAL COATING AND LASER SURFACE MELTING by O. E. Grachev, V. M. Neuimin, D. V. Nasteka

    Published 2015-12-01
    “…They coat the surface of an item being processed by way of melting the base and the adding material. …”
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  13. 1193

    A comparative study on the effectiveness of pollutants control measures adopted in the steel industry to reduce workplace and environmental exposure: a case study by Daniel Onut Badea, Alina Trifu, Doru Costin Darabont

    Published 2024-04-01
    “…Through the use of cutting-edge technology and progressive strategies, we can move closer toward our objective of a workplace free from injuries in the steel industry.…”
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  14. 1194
  15. 1195

    BedEye: A Bed Exit and Bedside Fall Warning System Based on Skeleton Recognition Technology for Elderly Patients by Liang-Bi Chen, Wan-Jung Chang, Tzu-Chin Yang

    Published 2025-01-01
    “…The proposed BedEye system innovatively utilizes OpenPose-light, which is a lightweight version of the OpenPose model optimized for edge computing. The proposed BedEye system processes real-time images captured by an RGB sensor, which are then fed into a deep learning model running locally on an Nvidia Jetson Xavier-NX edge computing device. …”
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  16. 1196

    Simulation of the African ITCZ during austral summer seasons and ENSO phases: application of an RCM derived from stretched grid ESM by Teke S. Ramotubei, Teke S. Ramotubei, Willem A. Landman, Mohau J. Mateyisi, Shingirai S. Nangombe, Asmerom F. Beraki, Asmerom F. Beraki

    Published 2025-07-01
    “…The modeling framework offers process oriented and teleconnection studies. It also provides great potential for climate applications with suitable bias corrections techniques, albeit the source and mechanism of its dynamic error growth deserve further investigation.…”
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  17. 1197

    Enhancing NOMA-MEC Based Intelligent Farming: Performance Analysis and HSBOO Optimization by Arulvizhi Mani, Sriharipriya Krishnan Chandrasekaran, Veerapu Goutham

    Published 2025-01-01
    “…Due to the shortage of computation, battery and storage capability of terminal IoFT devices, certain tasks must be offloaded to multiaccess edge computing (MEC) server for processing. Furthermore, non-orthogonal multiple access (NOMA) approach is introduced to address the issue caused by the resource constraint of wireless transmission. …”
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  18. 1198

    Designing Adaptability Strategy to a Novel Kinetic Adaptive Façade (NKAF); Toward a Pioneering Method in Dynamic-objects Daylight Simulation (Post-Processing) by Ali Goharian, Mohammadjavad Mahdavinejad, Sana Ghazazani, Seyed Morteza Hosseini, Zahra Zamani, Hossein Yavari, Fereshteh Ghafarpoor, Fataneh Shoghi

    Published 2025-02-01
    “…Additionally, post-processing with NSGA-II multi-objective optimization provided an optimal framework for annual performance, effectively balancing multiple design goals. …”
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  19. 1199

    A Novel Method Based on Digital Image Processing Technique and Finite Element Method for Rapidly Modeling Optical Properties of Actual Microstructured Optical Fibers by Jianshe Li, Shuguang Li, Guanghua Gu, Hui Li, Qiang Liu, Zhenkai Fan, Hailiang Chen, Xiaoming Han, Yuanyuan Zhao, Pu Zhang

    Published 2016-01-01
    “…With this method, the actual cross-section structure of MOFs can be rapidly modeled by gray scale processing, filtering, threshold, and edge detection, which is vital to the simulation of the basic properties of the fiber with FEM precisely. …”
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