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  1. 1241

    Mobile AR/VR in 5G based on convergence of communication and computing by Yiqing ZHOU, Bule SUN, Yanli QI, Yan PENG, Ling LIU, Zhilong ZHANG, Yitong LIU, Danpu LIU, Zhaoxin LI, Lin TIAN

    Published 2018-08-01
    “…Oriented to 5Gmobile communication network combining with communication and computation,the characteristics ofmobile AR/VR information processing and transmission were analyzed,and the ability to integrate communication and computation was proposed,and the capability of integrating communication and computing was proposed.In the future 5Gmobile communication network,multi-level computing will be used to solve the problem of limited computing capacity ofmobile terminals by the capability ofmulti-level computing nodes in collaborative network.Intelligent transmissionmechanism could overcome the problem of unstable transmission capacity ofmobile channel by efficient spectrum sensing,layered coding and adaptive space port transmission,and themobile AR/VR service delay was ensured by using delay guaranteemechanism and cooperativemanagement of communication and computing resources.The research status and development trend ofmobile AR/VRmulti-level computingmodel,intelligent transmissionmechanism and service delay guarantee was reviewed,the existing problems were summarized and the next research direction was put forward.…”
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  2. 1242
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    Edge vs. Cloud: Empirical Insights into Data-Driven Condition Monitoring by Chikumbutso Christopher Walani, Wesley Doorsamy

    Published 2025-05-01
    “…On the other hand, the edge platform excels in real-time processing and reduces network data burden, but its computational and memory resources are found to be a limitation with certain tasks. …”
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  4. 1244

    Resource Management Techniques for the Internet of Things, Edge, and Fog Computing Environments by Koushik Chakraborty, Manmohan Sharma, Krishnaveni Kommuri, Voore Subrahmanyam, Pratap Patil, Manmohan Singh Yadav

    Published 2023-07-01
    “…A haze computer connects to multiple edge computers simultaneously, resulting in a specialized set of devices for more efficient data handling and capacity. …”
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  5. 1245

    A Verifiable and Secure Industrial IoT Data Deduplication Scheme With Real-Time Data Integrity Checking in Fog-Assisted Cloud Environments by Jakkarin Lapmoon, Somchart Fugkeaw

    Published 2025-01-01
    “…This is achieved using an incremental value configured at the fog node, allowing authentication requests to be processed without generating new challenges for each transaction. …”
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  6. 1246

    A Single Layer Neural Network Implemented by a <inline-formula><tex-math notation="LaTeX">$4\times 4$</tex-math></inline-formula> MZI-Based Optical Processor by Farhad Shokraneh, Simon Geoffroy-Gagnon, Mohammadreza Sanadgol Nezami, Odile Liboiron-Ladouceur

    Published 2019-01-01
    “…Finally, the optical processor is experimentally programmed by applying the obtained phase shifts from the matrix decomposition process to the corresponding phase shifters in the device. …”
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  7. 1247

    Process Design for Size-Controlled Flame Spray Synthesis of Li4Ti5O12 and Electrochemical Performance by Waser Oliver, Brenner Oliver, Groehn Arto J., Pratsinis Sotiris E.

    Published 2017-03-01
    “…Here the design of a scalable process, flame spray pyrolysis (FSP), for synthesis of size-controlled nanomaterials is investigated focusing on understanding the role of air entrainment (AE) during their aerosol synthesis with emphasis on battery materials. …”
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  8. 1248

    Quantum computing architecture with trapped ion crystals and fast Rydberg gates by Han Bao, Jonas Vogel, Ulrich Poschinger, Ferdinand Schmidt-Kaler

    Published 2025-04-01
    “…The proposed gate operation is ready to be combined with a scalable processor architecture to reconfigure the qubit register, either by shuttling ions or by dynamically controlling optical tweezer potentials.…”
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  9. 1249

    Parallel Business Processes Modeling by G. N. Kalyanov

    Published 2021-08-01
    “…The scenario of executing a parallel business process is formalized. To estimate the execution time of a parallel business process, the basic theorems of the theory of computational processes are adapted in order to focus them on business processes, recommendations are given on the rules for building parallel business processes. …”
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  11. 1251

    Load Balancing of Cloud Computing Service Model Empowered with Fuzzy Logic by Syed Atir Raza Shirazi, Abdul Hannan Khan, Shahid Rasool, Aqsa Anwar, Muhammad Ammar

    Published 2023-06-01
    “…Our research shows how to balance the load in a cloud environment using fuzzy logic. The processor speed, storage capacity, and assigned load of Virtual Machine (VM) utilize to balance the load in cloud computing through fuzzy logic to achieve better processing time and storage utilization. …”
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  12. 1252
  13. 1253

    A neural master equation framework for multiscale modeling of molecular processes: application to atomic-scale plasma processes by Shoubhanik Nath, Joseph R. Vella, David B. Graves, Ali Mesbah

    Published 2025-07-01
    “…Abstract Plasma-surface interactions (PSI) play a crucial role in microelectronics fabrication; however, their multiscale nature and array of complex, often unknown interactions make computational modeling of PSIs extremely difficult. To this end, we propose a general neural master equation (NME) framework that uses master equations to describe the dynamics of a molecular process, wherein neural networks learned from atomistic simulations represent unknown transitions between different system states. …”
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  14. 1254

    Method for designing specialized computing systems on the basis of hardware and software cooptimization by I. E. Tarasov, P. N. Sovietov, D. V. Lulyava, N. A. Duksin

    Published 2025-06-01
    “…On the basis of pipeline structures, a number of algorithms can be implemented to effectively complement programmable processor devices and provide hardware acceleration of some tasks. …”
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    THE PLATFORM FOR CREATION OF EVENT-DRIVEN APPLICATIONS BASED ON WOLFRAM MATHEMATICA AND APACHE KAFKA by Denis Zolotariov

    Published 2021-06-01
    “…The first - for use on the end user's computer, the second – on a compute server with a remote Mathematica kernel. …”
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