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181
The maximum common subgraph problem
Published 2017“…The result is an algorithm whose run time is bounded by a function exponential in the order of the smaller cover rather than in the order of the smaller graph.…”
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conferenceObject -
182
Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network
Published 2020“…An ANN model consists of three layers, 15 neutrons and 260 <i>epochs</i> accurately predict the CMP with 99.1% of data within ±10% deviation of the mean experimental value. …”
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183
Regression testing web services-based applications
Published 2006“…We discuss three situations for applying this algorithm: (1) connecting to a newly established web service that fulfills a composed web service, (2) adding or removing an operation in any of the composed web services, (3) modifying the specification of the web application. …”
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conferenceObject -
184
Reinforcement Learning-Based School Energy Management System
Published 2020“…In recent years, the Deep Reinforcement Learning algorithm, applying neural networks for function approximation, shows promising results in handling such complex problems. …”
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185
Label dependency modeling in Multi-Label Naïve Bayes through input space expansion
Published 2024“…To accommodate the heterogeneity of the expanded input space, we refine the likelihood parameters of iMLNB using a joint density function, which is adept at handling the amalgamation of data types. …”
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186
Small-Signal Stability Analysis and Parameters Optimization of Virtual Synchronous Generator for Low-Inertia Power System
Published 2025“…Through systematic eigenvalue analysis and parameter sensitivity studies, complemented by time-domain verification in MATLAB/SIMULINK, we demonstrate the decisive influence of VSG control parameters on low-frequency oscillation (LFO) damping characteristics, transient frequency stability metrics, including the rate of change of frequency (ROCOF), maximum frequency deviation (<i>fnadir</i>), overshoot, and settling time. 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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VHDRA: A Vertical and Horizontal Intelligent Dataset Reduction Approach for Cyber-Physical Power Aware Intrusion Detection Systems
Published 2019“…The Nonnested Generalized Exemplars (NNGE) algorithm is one of the most accurate classification techniques that can work with such data of CPPS. …”
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189
Fixed set search applied to the multi-objective minimum weighted vertex cover problem
Published 2022“…One important characteristic of the proposed GRASP is that it avoids the use of weighted sums of objective functions in the local search and the greedy algorithm. …”
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190
Crashworthiness optimization of composite hexagonal ring system using random forest classification and artificial neural network
Published 2024“…At the same time, the mean square error value serves as the loss function for the ANN model (i.e., the loss function values were 2.84 × 10<sup>−7</sup> and 6.40 × 10<sup>−7</sup>, respectively, for X1 and X2 loading conditions at 45° angle). …”
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192
Parallel tabu search in a heterogeneous environment
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193
Iterative heuristics for multiobjective VLSI standard cellplacement
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194
Particle swarm optimization for multimachine power systemstabilizer design
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195
General iterative heuristics for VLSI multiobjective partitioning
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196
Design and development of an embedded controller for roboticmanipulator
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197
Design of adaptive arrays based on element position perturbations
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198
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Design of a TE-pass reflection mode optical polarizer
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