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system algorithm » swarm algorithm (Expand Search)
rd algorithm » _ algorithms (Expand Search)
complement » implement (Expand Search), complementary (Expand Search)
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A Parallel Neural Networks Algorithm for the Clique Partitioning Problem
Published 2002“…The clique partitioning problem has important applications in many areas including VLSI design automation, scheduling, and resources allocation. In this paper we present a parallel algorithm to solve the above problem for arbitrary graphs using a Hopfield Neural Network model of computation. …”
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A Neural Networks Algorithm for the Minimum Colouring Problem Using FPGAs†
Published 2010“…The proposed algorithm has a time complexity of O(1) for a neural network with n vertices and k colours. …”
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Deep Reinforcement Learning for Resource Constrained HLS Scheduling
Published 2022“…The two main steps in HLS are: operations scheduling and data-path allocation. In this work, we present a resource constrained scheduling approach that minimizes latency and subject to resource constraints using a deep Q learning algorithm. …”
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Prediction of EV Charging Behavior Using Machine Learning
Published 2021“…Using data-driven tools and machine learning algorithms to learn the EV charging behavior can improve scheduling algorithms. …”
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Improved Jaya Synergistic Swarm Optimization Algorithm to Optimize Task Scheduling Problems in Cloud Computing
Published 2024“…The Jaya algorithm's ability to exploit the current best solutions is complemented by the SSO's collaborative search strategy, resulting in a synergistic optimization framework. …”
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A Framework for Predictive Modeling in Sustainable Projects
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Small-Signal Stability Analysis and Parameters Optimization of Virtual Synchronous Generator for Low-Inertia Power System
Published 2025“…We further propose a hybrid Particle Swarm Optimization (PSO) algorithm with a multi-objective cost function to optimize VSG controller gains. …”
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MAESTRO: Orchestrating Computational Offloading to Multiple FemtoClouds in Various Communication Environments
Published 2022“…Each of our scheduling algorithms is designed to allow the system to operate more efficiently given poor or strong network infrastructures. …”
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Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information
Published 2019“…Further, EEG is utilized as inner channel complementing speech for more authoritative recognition, by extracting multiple features belonging to time, frequency, and time–frequency. …”
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A Literature Review on System Dynamics Modeling for Sustainable Management of Water Supply and Demand
Published 2023“…WSDM is only effective when tackled from the perspective of a holistic system understanding that considers social, environmental, hydrological, and economic (SEHEc) sub-systems. …”
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Video features with impact on user quality of experience
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A pragmatic approach for testing robustness on real-time component based systems
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Machine Learning-Based Approach for EV Charging Behavior
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Fast, effective vertex cover kernelization
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A new approach and faster exact methods for the maximum common subgraph problem
Published 2017“…This structure contains a large number of naturally-ordered cliques that are present in the association graph’s complement. A detailed analysis shows that the proposed algorithm requires O((m+1)n) time, which is a superior worst-case bound to those known for previously-analyzed algorithms in the setting of the MCS problem. …”
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Prototype project management tool (PPMT) with cocomo calibration. (c1998)
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The maximum common subgraph problem
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Localizing-ground Transmitters Using Airborne Antenna Array
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