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161
Enhanced Workload Prediction in Data Centers Using Two-Stage Decomposition and Hybrid Parallel Deep Learning
Published 2025-01-01“…A novel hybrid model is utilized to forecast future workloads, incorporating two sets of three distinct parallel Conv1D layers with varying kernel sizes. These layers extract patterns from the input data, capturing short-term, medium-term, and long-term workload information, allowing the model to learn variations at different scales. …”
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The modeling of two-dimensional vortex flows in a cylindrical channel using parallel calculations on a supercomputer
Published 2022-03-01“…Results. Two methods of parallelization when solving a system of equations were considered. …”
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164
Safety Assessment Method for Parallel Runway Approach Based on MC-EVT for Quantitative Estimation of Collision Probability
Published 2025-04-01“…Compared to the conventional Monte Carlo method, it achieves a faster convergence rate, significantly reduces computational workload, and improves computational efficiency by a factor of ten, thus demonstrating that the proposed method is capable of accurately and effectively quantifying low-probability collision risks. Furthermore, the findings reveal a strong correlation between parallel runway width and collision risk. …”
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165
Parallelizing Comprehensive Learning Particle Swarm Optimization by Open Computing Language on an Integrated Graphical Processing Unit
Published 2020-01-01“…This paper studies parallelizing CLPSO by open computing language (OpenCL) on the integrated Intel HD Graphics 520 (IHDG520) graphical processing unit (GPU) with a low clock rate. …”
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166
Tandem Solar Cells Based on Cu2O and c-Si Subcells in Parallel Configuration: Numerical Simulation
Published 2017-01-01“…A tandem solar cell consisting of a bottom c-Si high-efficiency subcell and a top low-cost Cu2O subcell in parallel configuration is evaluated for the first time by a use of an electrical model. …”
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167
Introduction of dynamic constitutive model into parallel computing system of strata motion and modeling of impact fracture process of roadway
Published 2025-03-01“…When roadway rockbursts are modeled on the microcomputer, the foreign commercial software has small-scale computing capacity, low computing efficiency, and limited applicability. …”
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168
Analysis of Kinematics and Leveling Performance of a Novel Cable-Driven Parallel Automatic Leveling Robot for Spacecraft Hoisting
Published 2025-06-01“…Aiming at the problems of excessive dependence on manual operations, unquantifiable parameters, low hoisting efficiency, and low level of automation and informatization in the lifting process of spacecraft, a novel cable-driven parallel automatic leveling robot with a two-stage adjustment function is proposed. …”
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169
A Design of a New Column-Parallel Analog-to-Digital Converter Flash for Monolithic Active Pixel Sensor
Published 2017-01-01“…This paper concerns designing and optimizing a new architecture of a low power, high speed, and small-area 4-bit column-parallel ADC Flash. …”
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170
Experimental Investigation on Flow Boiling and Pressure Drop of R1233zd (E) in Cold Plate with Parallel Channels
Published 2022-01-01“…As a critical component of two-phase cooling systems, the pressure drop characteristics of refrigerants in cold plates with parallel channels significantly affect their heat-transfer performance. …”
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171
Event‐based high throughput computing: A series of case studies on a massively parallel softcore machine
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172
Study on the Meshing Characteristic of Cylindrical Gear with Arcuate Tooth Trace based on the Processing Principle of Parallel Link Mechanism
Published 2019-06-01“…The transmission stability is poor at low loads,and even the gear transmission appears to be out of mesh. …”
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173
Parallel tempered Bayesian inference for characterizing non-ideal semiconductors: Carrier trapping in cadmium telluride thin films
Published 2025-02-01“…Summary: We describe an improved Bayesian inference methodology to characterize photovoltaic materials by matching charge carrier simulations to spectroscopy data. A “parallel tempering” scheme is introduced, which efficiently and reliably locates the global maximum in the complex multimodal distributions that are characteristic of cadmium telluride (CdTe) films. …”
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Parallel Task Offloading and Trajectory Optimization for UAV-Assisted Mobile Edge Computing via Hierarchical Reinforcement Learning
Published 2025-05-01“…With the rapid growth of IoT data and increasing demands for low-latency computation, UAV-assisted mobile edge computing (MEC) offers a flexible solution to overcome the limitations of fixed MEC servers. …”
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176
Distributed Virtual Inertia Control Strategy for Multi-Virtual Synchronous Machine Parallel System Based on Neighbor Communication
Published 2025-04-01“…Therefore, this paper proposes a distributed virtual inertia control strategy for multi-VSG parallel systems. First, a small-signal model of the multi-machine parallel system is established, and its small-signal stability is demonstrated. …”
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177
A Two-Level Parallel Incremental Tensor Tucker Decomposition Method with Multi-Mode Growth (TPITTD-MG)
Published 2025-04-01“…In this paper, a two-level parallel incremental tensor Tucker decomposition method with multi-mode growth (TPITTD-MG) is proposed to address the low parallelism issue of the existing Tucker decomposition methods on large-scale, high-dimensional, dynamically growing data. …”
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178
Task Mapping and Scheduling With Uneven Data Partition on Homogeneous and Single-ISA Heterogeneous CPUs in Model-Based Parallelization
Published 2025-01-01“…This study addresses the challenges of task mapping and scheduling in model-based parallelization (MBP) by focusing on bottleneck tasks that exhibit data parallelism. …”
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179
Parallel convolutional neural network and empirical mode decomposition for high accuracy in motor imagery EEG signal classification.
Published 2025-01-01“…In this work, we propose a novel method that addresses these challenges by employing empirical mode decomposition (EMD) for feature extraction and a parallel convolutional neural network (PCNN) for feature classification. …”
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180
Transformer fault diagnosis method based on Gramian Angular Field and optimized parallel ShuffleNetV2
Published 2025-07-01“…Abstract To address the issue of low diagnostic accuracy caused by reliance on manual experience and single-angle feature extraction in transformer fault diagnosis, a transformer fault diagnosis method based on Gramian Angular Field and optimized parallel ShuffleNetV2 was proposed. …”
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