An Intelligent Optimization System Using Neural Networks and Soft Computing for the FMM Etching Process by Wen-Chin Chen, An-Xuan Ngo, Jun-Fu Zhong

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Stochastic and Percolating Models of Blocking Computer Networks Dynamics during Distribution of Epidemics of Evolutionary Computer Viruses by S. A. Lesko, A. S. Alyoshkin, V. V. Filatov

Subjects: “…computer model evolving viruses…”
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Krylov diagonalization of large many-body Hamiltonians on a quantum processor by Nobuyuki Yoshioka, Mirko Amico, William Kirby, Petar Jurcevic, Arkopal Dutt, Bryce Fuller, Shelly Garion, Holger Haas, Ikko Hamamura, Alexander Ivrii, Ritajit Majumdar, Zlatko Minev, Mario Motta, Bibek Pokharel, Pedro Rivero, Kunal Sharma, Christopher J. Wood, Ali Javadi-Abhari, Antonio Mezzacapo

“…Abstract The estimation of low energies of many-body systems is a cornerstone of the computational quantum sciences. Variational quantum algorithms can be used to prepare ground states on pre-fault-tolerant quantum processors, but their lack of convergence guarantees and impractical number of cost function estimations prevent systematic scaling of experiments to large systems. …”
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Optimization of Direct Convolution Algorithms on ARM Processors for Deep Learning Inference by Shang Li, Fei Yu, Shankou Zhang, Huige Yin, Hairong Lin

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A neuromorphic processor with on-chip learning for beyond-CMOS device integration by Hugh Greatorex, Ole Richter, Michele Mastella, Madison Cotteret, Philipp Klein, Maxime Fabre, Arianna Rubino, Willian Soares Girão, Junren Chen, Martin Ziegler, Laura Bégon-Lours, Giacomo Indiveri, Elisabetta Chicca

“…In this paper, we demonstrate the readiness of the architecture for device integration through comprehensive measurements and simulations. The processor provides a practical system for testing bio-inspired learning algorithms alongside emerging devices, establishing a tangible link between brain-inspired computation and cutting-edge device research.…”
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Simulation of Thermal Energy Removal from Processors Using Air Coolers by G. A. Piskun, V. F. Alexeev, A. N. Belikov, D. G. Rybakov

“…In the last experiment, the optimal design of the AC was established, which made it possible to effectively implement the dissipation of thermal energy from the processor at various power levels. The necessity of using AC in such modern technical means as personal computers, servers, computer systems, etc., in which there are no restrictions on providing weight and size parameters has been experimentally proved.…”
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A Processor-controlled Remote Updating Method for FPGA Configuration Files by WEN Fa, YIN Jun

“…Aiming at the inconvenience of updating configuration program in field application of FPGA, a remote configuration program updating method based on processor control was proposed. When the configuration program needs to be updated, the host computer downloads the configuration program to the SPI memory by the CPU’s communication interface. …”
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Theoretical analysis for the data immigration between memory and processor percolation cache by Jiuchuan HU, Dongrui FAN, Jiancong CHENG, Long YAN, Xiaochun YE, Lingzhi LI, Liangyi WAN, Haibin ZHONG

“…To improve the computer processor’s memory access efficiency, increase hit rates, reduce data fetching latency, the data and instructors that had close relation with each other could build the just-in-time locality environment on processor’s cache.To build such an environment, the relations between the data and instructors should be studied while them being immigrated into on-chip cache.The research results show that these relations could be well kept when the data and instructors are moved.The simulation also shows that the percolation cache can help the processor core to increase its hit rates.These research results give a new way to build the just-in-time locality environment on the percolation cache.…”
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Characterizing the Effects of Intermittent Faults on a Processor for Dependability Enhancement Strategy by Chao(Saul) Wang, Zhong-Chuan Fu, Hong-Song Chen, Dong-Sheng Wang

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INVESTIGATIONS ON MICRO-PROCESSOR CURRENT DIRECTED PROTECTION OF DISTRIBUTION NETWORK LINES by F. A. Romaniuk, O. A. Gurianchik

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Physical reservoir computing with graphene-based solid electric double layer transistor and the information processing capacity analysis by Hina Kitano, Daiki Nishioka, Kazuya Terabe, Takashi Tsuchiya

“…Physical reservoir computing (PRC) is helpful for power reduction in machine learning technology, although the challenge is to improve computational performance. …”
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Computing real-time quantum path integrals on Sewed, almost-Lefschetz thimbles by Zong-Gang Mou, Paul M. Saffin, Anders Tranberg

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Simulating Quantum Field Theories on Gate-Based Quantum Computers by Gayathree M. Vinod, Anil Shaji

Subjects: “…circuit-based quantum computers…”
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Lightweight GPU-Accelerated Parallel Processing of the SCHISM Model Using CUDA Fortran by Hongchun Zhang, Qian Cao, Changmao Wu, Guangjun Xu, Yuli Liu, Xingru Feng, Meibing Jin, Changming Dong

“…The SCHISM model is widely used for ocean numerical simulations, but its computational efficiency is constrained by the substantial resources it requires. …”
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Evaluation of production line expansion efficiency using computer simulation by Poloczek Roksana, Oleksiak Beata

Subjects: “…computer simulation…”
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The impact of digital transformation on organizational structure and decision-making processes by Dabetić Arsenije

“…This paper explores the impact of digital transformation on organizational structure and decision-making processes. The aim of the research is to determine how technological innovations, such as cloud computing, artificial intelligence, and data analytics, are changing traditional management and organizational models. …”
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APPLICATION OF CLOUD TECHNOLOGY IN THE STOMATOLOGISTS EDUCATIONAL PROCESS by Oksana A. Zorina, Irina S. Berkutova, Natalia B. Petrukhina

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MicroForest: Lightweight Bottleneck Prediction for Manufacturing Processes on Edge Devices by Seungmin Yoo, Chanyoung Oh

Subjects: “…edge computing…”
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DETERMINATION OF PROCESS PARAMETER FOR INJECTION MOLDING : A REVIEW by Muhammad Alfattah Arifin, Hadi Pranoto

“…The experimental method determines parameters such as the Taguchi method, ANOVA method, hard computing techniques. The future will likely tend to use AI techniques as has happened with other methods in manufacturing processes to complement conventional techniques in determining injection molding process parameters.…”
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An edge streaming data processing framework for autonomous driving by Hang Zhao, LinBin Yao, ZhiXin Zeng, DongHua Li, JinLiang Xie, WeiLing Zhu, Jie Tang

Subjects: “…edge computing…”
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