Showing 21 - 40 results of 10,454 for search '"machines"', query time: 0.05s Refine Results
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    CONSTRUCTION PECULIARITIES OF MACHINES OF MULTIPLE TORSION. Part 1 by A. V. Vedeneev

    Published 2011-02-01
    “…The peculiarities of the wires behavior at spin on machines of double torsion are examined. The main characteristics of machines of double torsion are given.…”
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    Machines désirantes : des sexbots aux OS amoureux by Anthony Masure, Pia Pandelakis

    Published 2017-11-01
    “…Our goal is to take an in-depth look at the representation of sexual desire and sexual practices as they exist or may exist between machines and human beings. In our daily experiences, the desire to interact sexually with a machine can be met with deception or frustration whereas sex and technology creativally overlap in sci-fi films. …”
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    Taxonomy and Evaluations of Low-Power Listening Protocols for Machine-to-Machine Networks by Kwang-il Hwang, Sung-Hyun Yoon

    Published 2014-01-01
    “…Even though a lot of research has made significant contributions to advances in sensor networks, sensor network protocols, which have different characteristics according to the target application, might confuse machine-to-machine (M2M) network designers when they choose the protocol most suitable for their specific applications. …”
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    Damping Based Traffic Allocation in Wireless Machine-to-Machine Communications Networks by Ruiguo Yu, Zhenxia Yuan, Mankun Zhao, Mei Yu, Xu Lu

    Published 2013-11-01
    “…Machine-to-machine (M2M) technology that allows machine devices to communicate directly with each other without human intervention has emerged as a cutting-edge technology for next-generation communication. …”
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    Similarity-Based Summarization of Music Files for Support Vector Machines by Jan Jakubik, Halina Kwaśnicka

    Published 2018-01-01
    “…These results suggest that adjusting deep learning methods to build data representations that target a specific classifier or regressor can open up new perspectives for the use of standard machine learning methods in music domain.…”
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    Noise-augmented chaotic Ising machines for combinatorial optimization and sampling by Kyle Lee, Shuvro Chowdhury, Kerem Y. Camsari

    Published 2025-01-01
    “…Abstract Ising machines are hardware accelerators for combinatorial optimization and probabilistic sampling, using stochasticity to explore spin configurations and avoid local minima. …”
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    Predicting Tunnel Squeezing Using Multiclass Support Vector Machines by Yang Sun, Xianda Feng, Lingqiang Yang

    Published 2018-01-01
    “…This study presents a modified application of a multiclass support vector machine (SVM) to predict tunnel squeezing based on four parameters, that is, diameter (D), buried depth (H), support stiffness (K), and rock tunneling quality index (Q). …”
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