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algorithm module » algorithm novel (Expand Search)
algorithm etc » algorithm its (Expand Search), algorithm _ (Expand Search), algorithm fa (Expand Search)
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Random vector functional link network: Recent developments, applications, and future directions
Published 2023“…<p>Neural networks have been successfully employed in various domains such as classification, regression and clustering, etc. Generally, the back propagation (BP) based iterative approaches are used to train the neural networks, however, it results in the issues of local minima, sensitivity to learning rate and slow convergence. …”
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An incremental approach for test scheduling and synthesis using genetic algorithms
Published 2017“…This method maximizes concurrent testing of modules while performing the allocation of functional units, test registers, and multiplexers. …”
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conferenceObject -
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Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms
Published 2007“…The method maximizes concurrent testing of modules while performing the allocation of functional units, test registers, and interconnects. …”
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Optimized Load-Scheduling Algorithm for CubeSat's Electric Power System Management Considering Communication Link
Published 2023“…The load types are time-modulated, magnitude-modulated, time-and-magnitude-modulated, and fixed. …”
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A novel IoT intrusion detection framework using Decisive Red Fox optimization and descriptive back propagated radial basis function models
Published 2024“…<p dir="ltr">The Internet of Things (IoT) is extensively used in modern-day life, such as in smart homes, intelligent transportation, etc. However, the present security measures cannot fully protect the IoT due to its vulnerability to malicious assaults. …”
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Real-Time Implementation of High Performance Control Scheme for Grid-Tied PV System for Power Quality Enhancement Based on MPPC-SVM Optimized by PSO Algorithm
Published 2018“…<p dir="ltr">This paper proposes a high performance control scheme for a double function grid-tied double-stage PV system. It is based on model predictive power control with space vector modulation. …”
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Morphology for Planar Hexagonal Modular Self-Reconfigurable Robotic Systems
Published 2009Get full text
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Software defect prediction. (c2019)
Published 2019“…This is normally measured at the level of a module. A module is a class in the object-oriented design or a function in the procedural design. …”
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masterThesis -
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Timing influenced general-cell genetic floorplanner
Published 2020“…In the first phase we use the genetic algorithm and restrict the modules to be rigid and the floorplan to have slicing structure. …”
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Autonomous Robot Navigation Based On Recurrent Neural Networks
Published 2012Get full text
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Analyzing Partial Shading in PV Systems Using Wavelet Packet Transform and Empirical Mode Decomposition Techniques
Published 2025“…In the first stage, the WPT is used to split the PV voltage and string currents into specific sub-band frequencies, and then EMD is used to decompose the selected frequency bands into a number of intrinsic mode functions (IMFs) and a residual. The generated IMF components are then fed into the Random Forest (RF) algorithm designed for shading detection and classification. …”
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Isolating Physical Replacement of Identical IoT Devices Using Machine and Deep Learning Approaches
Published 2021Get full text
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Integration of nonparametric fuzzy classification with an evolutionary-developmental framework to perform music sentiment-based analysis and composition
Published 2019“…Unlike existing solutions, MUSEC is: (i) a hybrid crossover between supervised learning (SL, to learn sentiments from music) and evolutionary computation (for music composition, MC), where SL serves at the fitness function of MC to compose music that expresses target sentiments, (ii) extensible in the panel of emotions it can convey, producing pieces that reflect a target crisp sentiment (e.g., love) or a collection of fuzzy sentiments (e.g., 65% happy, 20% sad, and 15% angry), compared with crisp-only or two-dimensional (valence/arousal) sentiment models used in existing solutions, (iii) adopts the evolutionary-developmental model, using an extensive set of specially designed music-theoretic mutation operators (trille, staccato, repeat, compress, etc.), stochastically orchestrated to add atomic (individual chord-level) and thematic (chord pattern-level) variability to the composed polyphonic pieces, compared with traditional evolutionary solutions producing monophonic and non-thematic music. …”
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A novel method for the detection and classification of multiple diseases using transfer learning-based deep learning techniques with improved performance
Published 2024“…<p dir="ltr">A disease is a distinct abnormal state that significantly affects the functioning of all or part of an individual and is not caused by external harm. …”
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A simplified sliding‐mode control method for multi‐level transformerless DVR
Published 2022“…Second, an effective method based on charging/discharging conditions of DC capacitors is proposed for balancing capacitor voltages using relevant switching state rather than combining DC voltage error with the inductor current error through a suitable weighting factor in forming the cost function. Therefore, the weighting factor necessity in the control algorithm is eliminated. …”
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IoT-Based Sustainable Parking Lot
Published 2023“…Experimental results showed that the system was able to perform the functionality with high accuracy. The coefficient of determination (R²) achieved of the car congestion prediction module was 0.97. …”
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