Research and Design of Distributed Parallel Processing Cloud CTI System Architecture by Qing Li, Wenhong Zhou

“…CTI is responsible for the agent registration management，scheduling management in call center.Therefore，the CTI system’s stability and performance of the integrated call center platform，the scale of the robustness of the agents will have a direct impact.Based on the research of distributed computing，a high reliability，parallel processing of call center cloud CTI system architecture was provided，as well as the dynamic of the system in the call center agent resources and scheduling need matching method，in order to improve the running stability of the large-scale，the ultra large scale call center platform flat core network element CTI system and the convenient of platform smooth expansion.…”
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Dynamic Maintenance Cost Optimization in Data Centers: An Availability-Based Approach for K-out-of-N Systems by Mostafa Fadaeefath Abadi, Mohammad Javad Bordbari, Fariborz Haghighat, Fuzhan Nasiri

“…This study presents a novel availability-driven approach to optimizing maintenance costs in DC Uninterruptible Power Supply (UPS) systems configured in a parallel k-out-of-n arrangement. The model integrates reliability and availability metrics into a dynamic optimization framework, determining the optimal number of components needed to achieve the desired availability while minimizing maintenance costs. …”
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An Efficient MapReduce-Based Parallel Clustering Algorithm for Distributed Traffic Subarea Division by Dawen Xia, Binfeng Wang, Yantao Li, Zhuobo Rong, Zili Zhang

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Optimizing Virtual Power Plants with Parallel Simulated Annealing on High-Performance Computing by Ali Abbasi, Filipe Alves, Rui A. Ribeiro, João L. Sobral, Ricardo Rodrigues

“…This parallelization accelerates solution space exploration, enabling the system to efficiently manage the complexity of larger DER networks and more sophisticated scheduling scenarios. …”
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Design and Analysis of On-Chip Reconfigurable SCVR With Wide Output Voltage Range for SoCs by Sunita Saini, Davinder Singh Saini, Vipin Balyan

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A Three-Stage Optimization Algorithm for the Stochastic Parallel Machine Scheduling Problem with Adjustable Production Rates by Rui Zhang

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Extended Kalman Filter-Based State Estimation and Adaptive Control of Cable-Driven Parallel Robots by Gokhan Gungor, Mitchell Rushton, Baris Fidan, William Melek

“…Cable-Driven Parallel Robots (CDPRs) are used in ever-changing, unstructured, and long-term autonomous operations; however, they require precise component assembly to achieve high positioning accuracy. …”
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Service Virtualization Using a Non-von Neumann Parallel, Distributed, and Scalable Computing Model by Rao Mikkilineni, Giovanni Morana, Daniele Zito, Marco Di Sano

“…This paper describes a prototype implementing a high degree of transaction resilience in distributed software systems using a non-von Neumann computing model exploiting parallelism in computing nodes. The prototype incorporates fault, configuration, accounting, performance, and security (FCAPS) management using a signaling network overlay and allows the dynamic control of a set of distributed computing elements in a network. …”
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Distributionally robust microgrid formation for service restoration in distribution systems against extended extreme events by Ran Zhu, Hongzhe Liu, Wenwu Yu, Wei Gu, Jin Zhao

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A New Approach Based on the Learning Effect for Sequence-Dependent Parallel Machine Scheduling Problem under Uncertainty by Maryam Ebrahimi, Parviz Dinari, Mohamad Samaei, Rouhollah Sohrabi, Soheil Sherafatianfini

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Research Framework and Anticipated Results of Key Technologies for Distributed Certificate-less Network Identity Systems by ZHANG Xiaosong, CAO Sheng, LU Tianbo, YANG Kun, GUI Xun, XIE Guotao, NIU Weina

“…Lastly, in large-scale distributed IoT identity authentication applications and validation, a lightweight public key identification model based on national cryptographic standards was designed, achieving breakthroughs in GBA protocol integration and AI-driven certificate-less authentication, with evaluation tools developed to simulate IoT networks with at least 300 nodes.Conclusions and ProspectsThis research aims to address challenges such as the design of authentication architectures, efficient key management, acceleration of access processes, and parallel execution of contracts, ensuring functionalities such as data allocation on demand and anonymous identity verification, while guaranteeing user privacy, security, and supporting dynamic collaborative computing for massive terminals. …”
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A Multi-Objective Temperature Control Method for a Multi-Stack Fuel Cell System with Different Stacks Based on Model Predictive Control by Wei Shen, Hongtao Su, Jianhua Gao, Lei Fan, Gang Zhang, Su Zhou

“…Based on experimental data, a parallel multi-stack fuel cell thermal management subsystem with different stack powers model is established and a system prediction model of the BP neural network is trained by applying the MFCS thermal management subsystem model simulation data. …”
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A Framework to Calibrate Ecosystem Demography Models Within Earth System Models Using Parallel Surrogate Global Optimization by Yanyan Cheng, Wei Xia, Matteo Detto, Christine A. Shoemaker

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Advanced Control Strategies for Managing Circulating Currents in Islanded Microgrid Inverters by Nurul Husna Abd Wahab, Mohd Hafizuddin Mat, Norezmi Md Jamal, Nur Hidayah Ramli

“…In islanded microgrids, circulating currents among parallel inverters pose significant challenges to system stability and efficient power distribution. …”
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A Two-Stage Multi-Parameter-Based Sorting Method for Ensuring Consistency Between Parallel-Connected Lithium-Ion Batteries by Hanchi Hong, Xiangxin Chen, Luigi d’Apolito, Yangqi Ye, Shuiwen Shen

“…However, inconsistencies between battery cells are inevitable due to the inherent variability in production processes and operational environments. In parallel circuits, battery management systems can usually only monitor the total module current and terminal voltage, which results in limitations that lead to inter-unit inconsistency, reducing overall safety and energy efficiency. …”
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State of Charge Estimation in Li-Ion Batteries Using a Parallel LSTM-Based Approach: The Impact of Modeling Based on Operating States by Osman Ozer, Hayri Arabaci

“…In Li-ion battery applications, effective energy management relies heavily on accurate knowledge of the state of charge (SOC). …”
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A clustering-aided multi-agent deep reinforcement learning for multi-objective parallel batch processing machines scheduling in semiconductor manufacturing by Peng Zhang, Mengyu Jin, Ming Wang, Jie Zhang, Junjie He, Peng Zheng

“…Batch processing machines are often the bottleneck in semiconductor manufacturing and their scheduling plays a key role in production management. Pioneer researches on multi-objective batch machines scheduling mainly focus on evolutionary algorithms, failing to meet the online scheduling demand. …”
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Association Between Sleep Quality and Self-Efficacy Trajectories Among Pregnant Women: A Parallel Process Latent Growth Curve Model by Mei X, Li Y, Wu X, Liang M, Chen Q, Kang L, Ye Z

“…However, the longitudinal dynamics between these constructs, particularly regarding personality traits, are not well understood. …”
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Microbiota recruitment for brain cancer management by Ruty Mehrian-Shai

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DYNAMICS OF MICROBIOLOGICAL AND OXIDATIVE STABILITY OF WHITE WINES DURING THE TECHNOLOGICAL PROCESS by NATALIA VLADEI, VALERIA DAMASCHIN, ECATERINA COVACI

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