Additionally, variation of capacitance value with change in load power under constant voltage-speed operation has been observed. Differential Search Algorithm (DSA) has been enforced to find an optimal capacitance value required for the aforesaid mentioned operations. The results obtained using DSA have...
analysis tools and for scalable visualizing of dense outputs from image analysis algorithms. HistomicsTK aims to serve the needs of both pathologists/biologists interested in using state-of-the-art algorithms to analyze their data, and algorithm researchers interested in developing new/improved ...
Additionally, this paper introduces an ensemble-based unsupervised fault detection methodology that incorporates homogeneous units, specifically long short-term memory (LSTM) predictors and cumulative sum-based detectors. The proposed predictors utilize a variant of the teacher forcing (TF) algorithm during...
Static Classes: Menu - static class which handles menu items in the report and interactive modes of the algorithm. Requires: DSALinkedList, DSAGraph, AssetInfo, TradeInfo, SortData, FileIO, UserInterface, RouteData, Metadata FileIO - Handles the reading and writing of files into the algorithm ...
OPTIMIZATION OF ADAPTIVE TRUSS STRUCTURES USING THE FINITE ELEMENT FORCE METHOD BASED ON COMPLEMENTARY ENERGY A structural optimization algorithm is developed to minimize the weight of structures with truss and beam-type members under single- or multiple-frequency constraints. The cross-sectional areas of...
This Third Edition also features significantly revised coverage of lists, stacks, queues, and trees and an entire chapter dedicated to amortized analysis and advanced data structures such as the Fibonacci heap. Known for its clear and friendly writing style, Data Structures and Algorithm Analysis in...
A Monte Carlo algorithm for probabilistic propagation in belief networks based on importance sampling and stratified simulation techniques A class of Monte Carlo algorithms for probability propagation in belief networks is given. The simulation is based on a two steps procedure. The first one ... LD...
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After introducing the MPPCCA, we propose an expectation-maxmization (EM) algorithm that estimates the parameters and latent variables of the MPPCCA. The MPPCCA is expected to ex- tract multiple partial canonical correlations from data series without any supervised signals to split the data as ...
However, the approximation of the SRSS may bring out unacceptable error for structures with high damping. Pseudo-Excitation Method (PEM) [15] is an accurate and highly efficient algorithm for structural stationary/non-stationary random response analysis. The PEM includes all the modal cross-product ...