Research on the next-generation deep learning framework by Fan YU

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Trajectory inference from single-cell genomics data with a process time model. by Meichen Fang, Gennady Gorin, Lior Pachter

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A vibration signal processing method based on SE-PSO-VMD for ultrasonic machining by Honghuan Chen

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DMS Algorithm in the Application of the Map/Reduce Tasks Schedule by PEI Shu-jun, KONG De-kai, MIAO Hui

“…The whole efficiency of traditional task scheduling algorithms is low under the cloud environment, In order to improve the whole efficiency of the task scheduling, this article based on Map/Reduce presents a Difference Matrix Scheduling tasks schedule algorithm based on processing time. Firstly, pretreatment of complex tasks, the complex tasks is converted to Directed Acyclic Graph figure, the tasks are topological sorted in an optimal manner according to the size of the task dependencies, and the work node is accordance with the sort to processing the complex tasks; Secondly, using the ratio of predictive time that node process tasks to node process capacity as a subtask in each node time quantitative modeling, then establish the task and the metric matrix of process time, according the Difference Matrix Scheduling to processing the matrix, and obtain the optimal scheme of task assignment. …”
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RN‐Net: Reservoir Nodes‐Enabled Neuromorphic Vision Sensing Network by Sangmnin Yoo, Eric Yeu‐Jer Lee, Ziyu Wang, Xinxin Wang, Wei D. Lu

“…Neuromorphic computing systems promise high energy efficiency and low latency. …”
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Controlling tangential flow filtration in biomanufacturing processes via machine learning: A literature review by Bastian Oetomo, Ling Luo, Yiran Qu, Michele Discepola, Sandra E. Kentish, Sally L. Gras

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Automatic Phase Correction of NMR Spectra Using Brute-Force GPU Method by Mario Gazziro, Marcio Luís Munhoz Amorim, Marco Roberto Cavallari, João Paulo Carmo, Alberto Tannus, Oswaldo Hideo Ando Junior, Loren Schwiebert

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Research on the cloud services provider-oriented services selection method by Yun-yong ZHANG, Su-fen LI, Jun WU, Bing-yi FANG

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Research on the cloud services provider-oriented services selection method by Yun-yong ZHANG, Su-fen LI, Jun WU, Bing-yi FANG

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Survey and Evaluation of Converging Architecture in LLMs Based on Footsteps of Operations by Seongho Kim, Jihyun Moon, Juntaek Oh, Insu Choi, Joon-Sung Yang

“…Large language models (LLMs), which have emerged from advances in natural language processing (NLP), enable chatbots, virtual assistants, and numerous domain-specific applications. …”
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Design of Low-Cost and Highly Energy-Efficient Convolutional Neural Networks Based on Deterministic Encoding by Tiance Tong, Qiang He, Xiaofei Nie, Yudi Zhao

“…Stochastic Computing has attracted extensive attention in the deployment of neural networks at the edge due to its low hardware cost and high fault tolerance. …”
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AQEA-QAS: An Adaptive Quantum Evolutionary Algorithm for Quantum Architecture Search by Yaochong Li, Jing Zhang, Rigui Zhou, Yi Qu, Ruiqing Xu

“…Quantum neural networks (QNNs) represent an emerging technology that uses a quantum computer for neural network computations. The QNNs have demonstrated potential advantages over classical neural networks in certain tasks. …”
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Regression-based investigation of latency in automated networks by Urooj Khan, Tariq Soomro, M.N. Brohi

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Bartolomé Bennassar et le soutien institutionnel à la recherche sur l’Espagne moderne et contemporaine : L’aventure de la RCP 405 et du GDR 30 by Gérard Chastagnaret

“…Bartolomé Bennassar thus played a dual role: he facilitated the early use of computer technology for data processing in the field of Social Sciences and Humanities, and he was a go-between, from individual doctoral research to collective research.…”
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A methodology to find possible optimal profiles based on 4Q model to learn computer programming by pairs in a systems engineering program by Omar Iván Trejos Buriticá, Luis Eduardo Muñoz Guerrero, Jorge Iván Ríos Patiño

“…It is concluded that, effectively, it is possible to find optimal profiles in the students in the light of the 4Q model that helps the programming computer learning process to be more effective.…”
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Graph Coarsening Approach to the Vehicle Routing Problem: An Approximation Strategy by Katarzyna Nalecz-Charkiewicz, Arnav Das, Turbasu Chatterjee, Joshua Keene, Pawel Gora, Carlos C. N. Kuhn

“…Our graph coarsening approach combined with the inflation method enables the reduced graph to be processed efficiently by classical, quantum or hybrid (quantum-classical) solvers, resulting in a faster computation time. …”
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Temperature aware energy-efficient task scheduling strategies for mapreduce by Bin LIAO, Tao ZHANG, Jiong YU, Ji LIU, tong YINLu, Gang GUO

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Contribution of RENAM to informational services development for higher education and research by Petru BOGATENCOV, Ion COVALENCO

“…The transition of the traditional science and higher education to e-Science and e-Education is fueled by the ever increasing needs to have access, process and visualize of exceedingly large amounts of data that can’t be managed without modern communication and computing instruments. …”
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Mining detailed information from the description for App functions comparison by Huaxiao Liu, Xinglong Yin, Shanshan Song, Shanquan Gao, Mengxi Zhang

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MedBlockSure: Blockchain‐based insurance system by Charu Krishna, Divya Kumar, Dharmender Singh Kushwaha

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