DYNAMIC DISCIPLINE OF PARALLEL SERVICE IN CONCEPT FLIGHT AND FLOW – INFORMATION FOR A COLLABORATIVE ENVIRONMENT by L. E. Rudel'son, S. N. Smorodskiy, V. A. Chernyshyova

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Enhancement of GPU-accelerated smoothed particle hydrodynamics (SPH) method with dynamic parallelism by Liwen Xue, Shenglong Gu, Songdong Shao

“…Within this framework, the neighboring particle search and particle interaction computations in SPH are parallelized on the GPU architectures. Furthermore, Dynamic Parallelism employs the refined task management via CUDA streams, enabling the direct on-device data synchronization and concurrent task scheduling, which bypass the traditional CPU/GPU-controlled barriers that impede the computational efficiency. …”
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Unveiling thermal dynamics: Integrated experimental and simulation insights into large-scale parallel pulsating heat pipe by Shilong Fan, Zhiming Xu, Wei Li, Fumin Shang, Hongliang Chang

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Multiclass dynamic emergency traffic collaborative assignment with parallel two-stage optimization by Zheng Liu, Jia-Lin Liu, Lei Zhang

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Influence of the Number of Parallel Joints on the Dynamic Mechanical Properties of Rock-Like Features by Zhiyu Zhang, Zhuo Li, Yonghui Huang, Haoshan Liu

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Low-Power-Management Engine: Driving DDR Towards Ultra-Efficient Operations by Zhuorui Liu, Yan Li, Xiaoyang Zeng

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Android Malware Category and Family Identification Using Parallel Machine Learning by Ahmed Hashem El Fiky, Mohamed Ashraf Madkour, Ayman El Shenawy

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Comprehensive Evaluation of the Massively Parallel Direct Simulation Monte Carlo Kernel “Stochastic Parallel Rarefied-Gas Time-Accurate Analyzer” in Rarefied Hypersonic Flows—Part... by Angelos Klothakis, Ioannis K. Nikolos

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Design and analysis of parallel quantum transfer fractal priority replay with dynamic memory algorithm in quantum reinforcement learning for robotics by R. Palanivel, P. Muthulakshmi

“…Abstract This paper introduces the parallel quantum transfer fractal priority reply with dynamic memory (P‐QTFPR‐DM) algorithm, an innovative approach that combines quantum computing and reinforcement learning (RL) to enhance decision‐making in autonomous vehicles. …”
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A FPGA-based Configurable Chassis Parallel Bus Technology by FAN Linbin, LI Miao, TAN Lei

“…In some existing application scenarios, industrial control platforms have expandable requirements for the data space management of chassis parallel bus. In this paper, a new chassis parallel bus technology scheme that can be flexibly configured and efficiently expanded is proposed. …”
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Research on Parallel Task Scheduling Algorithm of SaaS Platform Based on Dynamic Adaptive Particle Swarm Optimization in Cloud Service Environment by Jian Zhu, Qian Li, Shi Ying, Zhihua Zheng

“…Users access the cloud through the user access interface module, and issue task scheduling instructions or send task scheduling requests. After the service management module provides diversified application service support according to the scheduling requirements, the core service module determines the SaaS platform parallel scheduling objective function, and uses dynamic adaptive particle swarm optimization to solve the objective function to obtain the SaaS platform parallel task scheduling results. …”
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Development of Dispatching Rule based Heuristic Algorithms for Real-Time Dynamic Scheduling of Non-identical Parallel Burn-in Ovens with Machine Eligibility Restriction by Dhaval Pujara, M. Mathirajan

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Dynamic Programming for Designing and Valuing Two-Dimensional Financial Derivatives by Malek Ben-Abdellatif, Hatem Ben-Ameur, Rim Chérif, Bruno Rémillard

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CPFT-MOSA: A Comprehensive Parallel Fault-Tolerant Multi-Objective Simulated Annealing Framework for UAV-Assisted Edge Computing in Smart City Traffic Management by Ahmed Shamil Mustafa, Salman Yussof, Nurul Asyikin Mohamed Radzi

“…The proposed method decouples YOLO-based object detection tasks into several parallel modules within each UAV processing block and implements a dynamic resource management mechanism to balance processing efficacy and reliability. …”
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Rice residue management alternatives and nitrogen optimization: impact on wheat productivity, microbial dynamics, and enzymatic activities by Charul Chaudhary, Dharam B. Yadav, Virender S. Hooda, Ankur Chaudhary, Jagdish Parshad, Ankush Kumar, Rajbir SIngh Khedwal, Ashok Yadav

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Advanced control scheme for harmonic mitigation and performance improvement in DC-AC microgrid with parallel voltage source inverter by Buddhadeva Sahoo, Subhransu Ranjan Samantaray, Mohammed M. Alhaider

“…The system incorporates parallel inverters with dual DC-link capacitors connected to a shared DC grid, enabling enhanced reliability and efficient power-sharing. …”
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GPU-Based Parallel Particle Swarm Optimization Methods for Graph Drawing by Jianhua Qu, Xiyu Liu, Minghe Sun, Feng Qi

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Clinical effectiveness of a child-specific dynamic stretching programme, compared to usual care, for ambulant children with spastic cerebral palsy (SPELL trial): a parallel group r... by Tim Theologis, Daniel C. Perry, Ines Rombach, David J. Keene, Ioana R. Marian, Morag Andrew, Catherine Barry, Loretta Davis, Gregory Firth, Heidi Fletcher, Beth Fordham, Vivi Gregory Osborne, Helen Gregory Osborne, Lesley Katchburian, Joanna O'Mahoney, Jeremy R. Parr, Rachel Rapson, Jennifer Ryan, Fema Er, Megan Stone, Helen Wood, Sally Hopewell

“…Participants (n = 334) will be randomized (centralized computer-generated one:one allocation ratio) to either: 1) a dynamic stretching exercise programme, with six one-to-one physiotherapy sessions over 16 weeks; or 2) usual NHS care, with a single physiotherapy session and an assessment, and advice regarding self-management and exercise. …”
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Numerical simulation and parallel implementation of freight train air brake system. by Zongze Yu, Yuguang Wei, Chuxuan Hu

“…This study introduces a parallel computing-enhanced model for simulating pressure dynamics in heavy-haul trains. …”
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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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