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1
Semiparametric inference procedure for the accelarated failure time model with interval-censored data
Published 2019“…The rank-based methods, estimating algorithms, and resampling techniques that are developed do not involve the difficulties of the existing estimating procedures. …”
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2
Bats echolocation-inspired algorithms for global optimisation problems
Published 2016“…Swarm intelligence algorithms, are among popular metaheuristic methods, developed and inspired by the collective behaviour of swarms that have attracted significant attention of researchers. …”
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3
New random approaches of modified adaptive bats sonar algorithm for reservoir operation optimization problems
Published 2024“…Subsequently, it is exploring into the development of random approaches based on MABSA, integrating components into others algorithm whereby Squirrel Search Algorithm (SSA), Cauchy Mutation (CM) approach, and Doppler Effect (DE) phenomenon. …”
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4
Enhancement of Ant System Algorithm for Course Timetabling Problem
Published 2009“…This research starts with developing an algorithm based on original concept of Ant System Algorithm. …”
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5
RECURSIVE LEARNING ALGORITHMS ON RBF NETWORKS FOR NONLINEAR SYSTEM IDENTIFICATION
Published 2010“…This thesis proposes derivative free learning, using finite difference, methods for fixed size RBF network in comparison to gradient based learning for the application of system identification. …”
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6
Enhanced gravitational search algorithm for nano-process parameter optimization problem / Norlina Mohd Sabri
Published 2020“…Based on the capabilities of the metaheuristic algorithms, this research is proposing the enhanced Gravitational Search Algorithm (eGSA) to solve the nano-process parameter optimization problem. …”
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7
Hybridization of metaheuristic algorithm in training radial basis function with dynamic decay adjustment for condition monitoring / Chong Hue Yee
Published 2023“…Different types of metaheuristic optimization tools have their unique features which vary from others and hence lead to different suitability in the particular application. Two metaheuristic algorithms i.e., Harmony Search (HS) and Gravitational Search Algorithm (GSA), are selected to integrate separately with a Radial Basis Function Network with Dynamic Decay Adjustment (RBFN-DDA) to perform condition monitoring in industrial processes. …”
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8
Optimal Weighted Learning of PCA and PLS for Multicollinearity Discriminators and Imbalanced Groups in Big Data (S/O: 13224)
“…The developed algorithm weighted the n objects contribution in explaining the separation between groups. …”
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9
Modeling flood occurences using soft computing technique in southern strip of Caspian Sea Watershed
Published 2012“…In recent years soft computing methods like fuzzy logic and genetic algorithm are being used in modeling complex processes of hydrologic events. …”
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10
Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks
Published 2025thesis::doctoral thesis -
11
A comparative study on optimal structural dynamics using wavelet functions
Published 2015“…For this aim, computational technique is developed by using free scale of simple Haar wavelet, initially. …”
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12
HDRA: A Haybird Data Reduction and Routing Algorithm
Published 2024“…For any application design, a primary objective is to optimize the WSN in terms of its lifecycle and functionality. …”
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13
Ontology-based metabolic pathway prediction using saccharomyces cerevisiae data from genbank, ecocyc and kegg
Published 2006“…Then, the metabolic pathway ontology is manipulated to predict and analyze metabolic pathways for a target organism using metabolic pathway prediction algorithm. To enhance the efficiency in predicting metabolic pathways, Problem Solving Method approach is proposed to perform the ontology inference by providing the reasoning component to solve the prediction problem of metabolic pathways. …”
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14
Genetic algorithm-based optimal overcurrent relays coordination for standalone sustainable hydrokinetic renewable energy distribution network
Published 2019“…Furthermore, the project is fast track and requiring the simplest method available. In this strategy, all TDS values belonging to the respective relays are given to the algorithm in order to get the optimized value of the TDS. …”
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15
HDRA: A Haybird Data Reduction and Routing Algorithm
Published 2024“…For any application design, a primary objective is to optimize the WSN in terms of its lifecycle and functionality. …”
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16
Rangka kerja keselamatan transaksi bagi pelanggan pelayan berasaskan perdagangan elektronik
Published 2003“…Hashing function implementation have been using in this system as its cryptography algorithm. …”
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17
A hybrid approach for artificial immune recognition system / Mahmoud Reza Saybani
Published 2016“…The increasing size of data being stored have created the need for computer-based methods for automatic data analysis. Many researchers, who have developed methods and algorithms within the field of artificial intelligence, machine learning and data mining, have addressed extracting useful information from the data. …”
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18
NUMERICAL MODELING OF TROPOSPHERIC RADIO WAVE PROPAGATION USING WAVELETS
Published 2012“…First, a Wavelet Galerkin Method (WGM) is developed using Daubechies scaling function as basis functions. …”
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19
Analysis of least squares methods based on Ball curves representation in solving ordinary differential equations
Published 2024“…Analytical approximation methods in the form of polynomial or piecewise polynomial functions have been developed to address such problems. …”
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20
A framework of modified adaptive neuro-fuzzy inference engine
Published 2012“…A modified apriori algorithm was employed to reduce the number of clusters effectively on the basis of common data in the clusters of every input to obtain a minimal set of decision rules based on datasets. …”
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