Search Results - parallel evaluating ((gaps algorithm) OR (((graph algorithm) OR (path algorithm))))*
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A test case generation framework based on UML statechart diagram
Published 2018“…They are relation table, relation graph, consistency checking, test path minimization, test path prioritization, path pruning, test path generation, and test case generation. …”
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Quantitative and qualitative analysis of unmanned aerial vehicle's path planning using master-slave parallel vector-evaluated genetic algorithm
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An evaluation of parallel genetic algorithm for solving shortest path routing problem
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Random sampling method of large-scale graph data classification
Published 2024“…In experimental evaluation, our proposed method outperformed state-of-the-art graph kernels on graph classification datasets in terms of accuracy.…”
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Minimizing machining airtime motion with an ant colony algorithm
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Efficient Malware Detection And Response Model Using Enhanced Parallel Deep Learning (EPDL-MDR)
Published 2026“…The three main objectives are: (i) to develop a malware RGB image-based dataset and classifier using a parallel CNN (PCNN), (ii) to develop an enhanced parallel deep learning (EPDL) model for malware detection (MD) and build a response system (RS) by applying PCNN, and (iii) to evaluate the developed model with previous studies based on the accuracy rate. …”
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A hybrid rate control mechanism for forwarding and congestion control in named data network
Published 2020“…Named Data Networking (NDN) is an emerging Internet architecture that employs a pull-based, in-path caching, hop-by-hop, and multi-path transport architecture. …”
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Toward Quantum-Resilient PKI: A Systematic Literature Review of Post-Quantum Certificates Model
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Online teleoperation of writing manipulator through graphics processing unit based accelerated stereo vision
Published 2021“…These algorithms are then parallelized using Compute Unified Device Architecture CUDA C language to run on Graphics Processing Unit GPU for hardware acceleration. …”
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Dual experience replay enhanced deep deterministic policy gradient for efficient continuous data sampling
Published 2025“…Moreover, TPDEB collects more diverse and redundant experience by scaling parallel actor replicas. Empirical evaluations on MuJoCo continuous control benchmarks demonstrate that TPDEB outperforms baseline distributed algorithms in both convergence speed and final performance, especially under constrained actor–learner bandwidth. …”
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DC-based PV-powered home energy system
Published 2017“…A controller based on an algorithm of one time maximum power point (MPP) is proposed to mitigate those losses. …”
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