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codings algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search)
method algorithm » mould algorithm (Expand Search)
using algorithms » cosine algorithm (Expand Search)
data codings » data hiding (Expand Search)
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181
Intelligent Rapidly-Exploring Random Tree Star Algorithm
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doctoralThesis -
182
The effects of data balancing approaches: A case study
Published 2023“…In this article, we present a case study approach for investigating the effects of data balancing approaches. The case study concerns the discrimination between growth hormone treated and non-treated animals using Liquid Chromatography-High Resolution Mass Spectrometry (LC-HRMS) data. …”
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183
A FAMILY OF NORMALIZED LEAST MEAN FOURTH ALGORITHMS
Published 2020“…In this work, a family of normalized least mean fourth algorithms is presented. Unlike the LMF algorithm, the convergence behavior of these algorithms is independent of the input data correlation statistics. …”
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184
A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method
Published 2022“…To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. …”
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185
A hybrid graph representation for recursive backtracking algorithms
Published 2017“…The use of efficient data structures is necessary for fast graph modification modules as well as fast take-back procedures. …”
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conferenceObject -
186
Convergence behavior of the normalized least mean fourth algorithm
Published 2000“…Unlike the LMF algorithm, the convergence behavior of the NLMF algorithm is independent of the input data correlation statistics. …”
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187
Global smart cities classification using a machine learning approach to evaluating livability, technology, and sustainability performance across key urban indices
Published 2025“…Drawing on data from the Smart Cities Index (SCI) and other economic and sustainability competitiveness metrics, the study uses various <u>ML algorithms</u> to categorize cities into <u>performance classes</u>, ranging from high-achieving Class 1 to emerging Class 3 cities. …”
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188
Evolutionary algorithm for predicting all-atom protein structure
Published 2011“…We evaluate our algorithm on proteins taken from a Protein Data Bank. …”
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conferenceObject -
189
Mining airline data for CRM strategies. (c2006)
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masterThesis -
190
Recent Advances of Chimp Optimization Algorithm: Variants and Applications
Published 2023“…Chimp Optimization Algorithm (ChOA) is one of the recent metaheuristics swarm intelligence methods. …”
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191
A comparison of optimization heuristics for the data mapping problem
Published 1997“…In this paper we compare the performance of six heuristics with suboptimal solutions for the data mapping problem of two dimensional meshes that are used for the numerical solution of Partial Differential Equations(PDEs) on multicomputers. …”
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192
Social spider optimization algorithm: survey and new applications
Published 2024“…Finally, this chapter provides an expectation of the fields that need to work with this algorithm to improve problem-solving and the fields that have a growing number studies that use this algorithm.…”
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193
IntruSafe: a FCNN-LSTM hybrid IoMT intrusion detection system for both string and 2D-spatial data using sandwich architecture
Published 2025“…The IoMT manufacturers need to offer their products at a competitive price, which forces them to use simplified architecture, leaving limited and, to some extent, no scope to employ sophisticated cybersecurity algorithms. …”
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194
Data redundancy management for leaf-edges in connected environments
Published 2022“…Although the sensed data could be useful for various applications (e.g., event detection in cities, energy management in commercial buildings), it first requires pre-processing to clean various inconsistencies (e.g., anomalies, redundancies, missing values). …”
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195
Simulated annealing and genetic algorithms for exam scheduling. (c1997)
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masterThesis -
196
Application of Data Mining to Predict and Diagnose Diabetic Retinopathy
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doctoralThesis -
197
GenDE: A CRF-Based Data Extractor
Published 2020“…If the wrapper failed to work with the new page, a new wrapper/schema would be re-generated by calling an unsupervised wrapper induction system. In this paper, a new data extractor called GenDE is proposed. It verifies the site schema and extracts data from the Web pages using Conditional Random Fields (CRFs). …”
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198
(k, l)-Clustering for Transactional Data Streams Anonymization
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conferenceObject -
199
Exploring Semi-Supervised Learning Algorithms for Camera Trap Images
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doctoralThesis -
200
A fast exact sequential algorithm for the partial digest problem
Published 2016“…Two types of simulated data, random and Zhang, are used to measure the efficiency of the algorithm. …”