Search Results - (( java simulation optimisation algorithm ) OR ( using contrast function algorithm ))
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1
Tree-based contrast subspace mining method
Published 2020“…CSMiner and CSMiner-BPR) use density-based likelihood contrast scoring function to estimate the likelihood of a query object to target class against other class in a subspace. …”
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2
Enhancement of Over-Exposed and Under-Exposed Images Using Hybrid Gamma Error Correction Sigmoid Function
Published 2007“…The parameters adjust the contrast locally and globally. The gamma function is commonly used to correct the non-linear error in the images due to the camera lenses. …”
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3
Contrast enhancement for colour images based on discrete wavelet transform
Published 2017“…Low contrast images demanded contrast enhancement algorithm to intensify the visual outcomes by displaying more details. …”
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An Adaptive Fuzzy Contrast Enhancement Algorithm with Details Preserving
Published 2014“…This paper modifies the Adaptive Contrast Enhancement Algorithm with Details Preserving (ACEDP) technique by integrating a fuzzy element in the image type selection. …”
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Contrast Image Quality Assessment Algorithm Based on Probability Density Functions Features
Published 2023Book Chapter -
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Artificial Bee Colony-based satellite image contrast and brightness enhancement technique using DWT-SVD
Published 2014“…The proposed technique is based on the Artificial Bee Colony (ABC) algorithm using Discrete Wavelet Transform and Singular Value Decomposition (DWT-SVD). …”
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8
Modified Sine Cosine Algorithm for Identification of Liquid Slosh based on Continuous-time Hammerstein Model
Published 2020“…This paper presents the identification of liquid slosh plant using the Hammerstein model based on modified Sine Cosine Algorithm (mSCA). …”
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Identification of Liquid Slosh Behavior using Continuous-time Hammerstein Model based Sine Cosine Algorithm
Published 2021“…This paper presents the identification of liquid slosh plant using the Hammerstein model based on Sine Cosine Algorithm (SCA). …”
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10
Hyperdize Jaya Algorithm for Harmony Search Algorithm's Parameters Selection
Published 2016“…To evaluate the performance of the amended algorithm, we have applied it on different bench-mark functions that shows its good performance, in terms of result accuracy in contrast with the original algorithm Harmony Search with less number of iterations, and when we compare it with two other well-known variants of HS.…”
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11
Indoor positioning using weighted magnetic field signal distance similarity measure and fuzzy based algorithms
Published 2021“…Additionally, the effect of signal weighting function is investigated further using multiple K values of K nearest neighbour (KNN) algorithm. …”
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12
Local gray level S-curve transformation – A generalized contrast enhancement technique for medical images
Published 2017“…In this research, a contrast enhancement algorithm that applies gray-level S-curve transformation technique locally in medical images obtained from various modalities is investigated. …”
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An Evaluation of Machine Learning Algorithms for Missing Values Imputation
Published 2019“…It represents the research and imputation of missing values in gene expression data. By using the local or global correlation of the data we focus mostly on the contrast of the algorithms. …”
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Asynchronous simulated kalman filter optimization algorithm
Published 2018“…The performance of ASKF is compared against SKF using CEC2014 benchmark functions, where the ASKF is found to perform significantly better than the original SKF.…”
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15
FPGA-based Implementation of SHA-256 with Improvement of Throughput using Unfolding Transformation
Published 2022“…One of the cryptography categories is a hash function. This paper proposes the implementation of the SHA-256 (Secure Hash Algorithm-256) hash function. …”
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Inferring functional dependencies for XML storage
Published 2009“…Based on inferring other functional dependencies from the given ones, we proposed an algorithm for mapping XML DTDs to relational schemas. …”
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Acltshe-Amts: A New Adaptive Brain Tumour Enhancement And Segmentation Approaches
Published 2024“…The ACLTSHE integrates Contrast-Limited Adaptive Histogram Equalization, Multi-Objective Whale Optimization Algorithm, Discrete Entropy (DE), Peak Signal-to-Noise Ratio (PSNR), and Structure Similarity Index (SSI) to improve the quality of MR images while preserving the original structure of the MR images. …”
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18
Reliability Analysis and Prediction of Time to Failure Distribution of an Automobile Crankshaft
Published 2015“…The developed stochastic algorithm has the capability to measure the parametric distribution function and validate the predict the reliability rate, mean time to failure and hazard rate. …”
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Impact of low-dose protocols on computed tomography of lung cancer screening on the intrinsic performance metrics: a phantom study
Published 2023“…The difference in pitch allows for thinner image slices, which improves partial volume averaging and optimizes the (low contrast detectability (LCD). We compared the noise power spectrum (NPS), target transfer function (TTF), and contrast-to-noise ratio (CNR) values for different IR algorithm levels in the low dose group for both acrylic and LDPE inserts. …”
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Vertical handover decision schemes in fourth generation heterogeneous cellular networks: A comprehensive study
Published 2018“…RSS based algorithms, bandwidth based algorithms, cost function based algorithms, and the combination algorithms. …”
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