LGP-SA：Graph partition algorithm based on simulated annealing in large-scale graph processing by Jinfeng XU, Yihong DONG, Shiyi WANG, Xianmang HE, Huahui CHEN

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A chaos based image encryption algorithm using Rubik’s cube and prime factorization process (CIERPF) by R. Vidhya, M. Brindha

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Method for building an information model specification based on a sensemaking approach to user involvement in the development process by Vyacheslav S. Lapshin, Yuri I. Rogozov, Sergey A. Kucherov

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Quantitative data processing of whole service value chain for power grid internal simulation market by Nan Liu

“…The internal simulation market system can stimulate employee initiative, reduce costs and improve information processing efficiency. However, the complexity of the internal simulation market poses a challenge to computing resources. …”
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A Method of Performance Optimization for Distributed Stream Data Processing in Vehicle Data Peak Scenario by TANG Pengfei, HU Weimin, YANG Yongtao

“…Actual project application results show that this method can effectively solve the problem of performance bottleneck when the processing rate of streaming data cannot keep up with the reading rate in the data flood scenario.…”
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A Cross-Cultural/Lingual Natural Language Processing Analysis of Disability Awareness on Social Media by Zainab Almeraj, Fatemah Husain, Rosa I. Arriaga

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RAMSES-yOMP: Performance Optimizations for the Astrophysical Hydrodynamic Simulation Code RAMSES by San Han, Yohan Dubois, Jaehyun Lee, Juhan Kim, Corentin Cadiou, Sukyoung K. Yi

“…Developing an efficient code for large, multiscale astrophysical simulations is crucial in preparing for the upcoming era of exascale computing. RAMSES is an astrophysical simulation code that employs parallel processing based on the message-passing interface (MPI). …”
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Selected Topics on Systems Modeling and Natural Language Processing: Editorial Introduction to the Issue 7 of CSIMQ by Witold Andrzejewski, Selma Khouri

“…The seventh issue of Complex Systems Informatics and Modeling Quarterly presents five papers devoted to two distinct research topics: systems modeling and natural language processing (NLP). Both of these subjects are very important in computer science. …”
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Simulating the impact of white matter connectivity on processing time scales using brain network models by Paul Triebkorn, Viktor Jirsa, Peter Ford Dominey

“…It has been shown that this processing is distributed in a hierarchy across multiple areas in the brain with areas close to the sensory cortex, processing on a faster time scale than areas in associative cortex. …”
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Shaping Quantum Noise through Cascaded Nonlinear Processes in a Dissipation-Engineered Multimode Cavity by Sahil Pontula, Yannick Salamin, Charles Roques-Carmes, Marin Soljačić

“…Bright squeezing in multiple discrete frequency modes, if realized, could unlock novel applications in quantum-enhanced spectroscopy and optical quantum computing. Here, we show how dissipation engineering of a multimode nonlinear cavity with cascaded three-wave-mixing processes allows us to shape above-threshold frequency combs that feature strong single-mode output amplitude noise squeezing over 10 dB below the shot-noise limit, tunable across the comb. …”
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Care home resident identification: A comparison of address matching methods with Natural Language Processing. by Víctor Suárez-Paniagua, Arlene Casey, Charis A Marwick, Jennifer K Burton, Helen Callaby, Isobel Guthrie, Bruce Guthrie, Beatrice Alex

“…This study aimed to develop and validate Natural Language Processing (NLP) methods to identify care home residents from primary care address records.…”
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Optimization for Nonlinear Uncertain Switched Stochastic Systems with Initial State Difference in Batch Culture Process by Jinlong Yuan, Jun Xie, Honglei Xu, Enmin Feng, Zhilong Xiu

“…Based on the deterministic description of batch culture expressed in form of switched ordinary differential equations, we introduce a switched stochastic counterpart system with initial state difference together with uncertain switching instants and system parameters to model the process of glycerol biodissimilation to 1,3-propanediol (1,3-PD) induced by Klebsiella pneumoniae (K. pneumoniae). …”
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Time-Shifted Maps for Industrial Data Analysis: Monitoring Production Processes and Predicting Undesirable Situations by Tomasz Blachowicz, Sara Bysko, Szymon Bysko, Alina Domanowska, Jacek Wylezek, Zbigniew Sokol

“…The rapid advancement of computing power, combined with the ability to collect vast amounts of data, has unlocked new possibilities for industrial applications. …”
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Extreme signal amplitude events in neuromagnetic oscillations reveal brain aging processing across adulthood by Vasily A. Vakorin, Vasily A. Vakorin, Hayyan Liaqat, Sam M. Doesburg, Sylvain Moreno

“…The statistical properties of these extreme and rare events in neurodynamics may reflect the limits or capacity of the brain as a complex system in information processing. However, the exact role of these extreme neurodynamic events in ageing, and their spectral and spatial patterns remain elusive. …”
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Microstructure and compressive behaviour of PLA/PHA-wood lattice structures processed using additive manufacturing by Tao Liu, Ji-hong Zhu, Weihong Zhang, Sofiane Belhabib, Sofiane Guessasma

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Quantum Hardware Devices (QHDs): Opportunities and Challenges by Aziz Oukaira

“…This review focuses on the core building blocks of quantum computing qubits, quantum gates, registers, and chipsets, while emphasizing the pivotal role of advanced architectures, such as Field-Programmable Gate Arrays (FPGAs) and Digital Signal Processors (DSPs), in optimizing quantum information processing. …”
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Automated decision making in Barrett’s oesophagus: development and deployment of a natural language processing tool by Agathe Zecevic, Laurence Jackson, Xinyue Zhang, Polychronis Pavlidis, Jason Dunn, Nigel Trudgill, Shahd Ahmed, Pierfrancesco Visaggi, Zanil YoonusNizar, Angus Roberts, Sebastian S. Zeki

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A Self-Adaptive Parameter Optimization Algorithm in a Real-Time Parallel Image Processing System by Ge Li, Xuehe Zhang, Jie Zhao, Hongli Zhang, Jianwei Ye, Weizhe Zhang

“…Simulation results showed that the ALBPO algorithm has great merits on load balance performance, realizing the optimization of QoS for each processor, fulfilling the balance requirements of servo circle, precision, and robustness of the parallel processed vision servo system.…”
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Energy Demand Response in a Food-Processing Plant: A Deep Reinforcement Learning Approach by Philipp Wohlgenannt, Sebastian Hegenbart, Elias Eder, Mohan Kolhe, Peter Kepplinger

“…The food industry faces significant challenges in managing operational costs due to its high energy intensity and rising energy prices. Industrial food-processing facilities, with substantial thermal capacities and large demands for cooling and heating, offer promising opportunities for demand response (DR) strategies. …”
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Reinforcement Learning for Data-driven Workflows in Radio Interferometry. I. Principal Demonstration in Calibration by Brian M. Kirk, Urvashi Rau, Ramyaa Ramyaa

“…Data gathered by an interferometer require substantial processing before astronomers can extract scientific information from them. …”
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