Paper Citation Record · LEDGER

Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction

As of 8 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2506.15694.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.15694 v1

Coverage vector

measured 42 of 42 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation cce91671-c9cd-40c6-8be1-a05c26c9e204 · outbound

This paper cites classification.

Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction classification

Reference 1

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This paper cites an unresolved cited work.

Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Unresolved cited work

Reference 2

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Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Unresolved cited work

Reference 3

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This paper cites Parallel Fitness Evaluation: • Compute 𝐹(𝜃𝑖) for each 𝜃𝑖 ∈ 𝒫𝑔 by multithreading b.

Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Parallel Fitness Evaluation: • Compute 𝐹(𝜃𝑖) for each 𝜃𝑖 ∈ 𝒫𝑔 by multithreading b

Reference 4

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This paper cites End 4.0 Results The study was able to propose a modified GA for optimizing the MLP.

Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction End 4.0 Results The study was able to propose a modified GA for optimizing the MLP

Reference 5

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This paper cites Advanced Agrochem Understanding the potential applications of Arti fi cial Intelligence in Agriculture Sector,.

Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Advanced Agrochem Understanding the potential applications of Arti fi cial Intelligence in Agriculture Sector,

Reference 6

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This paper cites Genetic algorithm to optimize the SVM and K -means algorithms for mapping of mineral prospectivity,.

Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Genetic algorithm to optimize the SVM and K -means algorithms for mapping of mineral prospectivity,

Reference 7

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This paper cites Optimizing a Deep Residual Neural Network with Genetic Algorithm for Acute Lymphoblastic Leukemia Classification,.

Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Optimizing a Deep Residual Neural Network with Genetic Algorithm for Acute Lymphoblastic Leukemia Classification,

Reference 8

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Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Unresolved cited work

Reference 9

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Observation af41ebb4-1a3e-4e42-bcca-5e1eef251a82 · outbound

This paper cites Random forest grid fault prediction based on genetic algorithm optimization,.

Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Random forest grid fault prediction based on genetic algorithm optimization,

Reference 10

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This paper cites A hyper-parameter tuning approach for cost-sensitive support vector machine classifiers,.

Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction A hyper-parameter tuning approach for cost-sensitive support vector machine classifiers,

Reference 11

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This paper cites Chronic kidney disease prediction using boosting techniques based on clinical parameters,.

Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Chronic kidney disease prediction using boosting techniques based on clinical parameters,

Reference 12

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Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Explainable Machine Learning Model for Chronic Kidney Disease Prediction,

Reference 13

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This paper cites A Proposed Multilayer Perceptron Model and Kernel Principal Analysis Component for the Prediction of Chronic Kidney Disease,.

Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction A Proposed Multilayer Perceptron Model and Kernel Principal Analysis Component for the Prediction of Chronic Kidney Disease,

Reference 14

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This paper cites Hyperparameter optimization : Foundations , algorithms , best practices , and open challenges,.

Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Hyperparameter optimization : Foundations , algorithms , best practices , and open challenges,

Reference 15

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This paper cites Hernández-Morales, I.

Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Hernández-Morales, I

Reference 16

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Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Unresolved cited work

Reference 17

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Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction OPEN SRADHO : statistical reduction approach with deep hyper optimization for disease classification using artificial intelligence,

Reference 18

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Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Unresolved cited work

Reference 19

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This paper cites Parkinson’s Disease Data Set,.

Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Parkinson’s Disease Data Set,

Reference 20

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Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Unresolved cited work

Reference 21

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Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Unresolved cited work

Reference 22

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Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Wisconsin Diagnostic Breast Cancer (WDBC) Data Set,

Reference 23

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This paper cites A New Optimization Model for MLP Hyperparameter Tuning: Modeling and Resolution by Real-Coded Genetic Algorithm,.

Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction A New Optimization Model for MLP Hyperparameter Tuning: Modeling and Resolution by Real-Coded Genetic Algorithm,

Reference 24

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This paper cites Optimizing Chronic Kidney Disease Diagnosis in Uddanam : A Smart Fusion of GA-MLP Hybrid and PCA Dimensionality Reduction,.

Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Optimizing Chronic Kidney Disease Diagnosis in Uddanam : A Smart Fusion of GA-MLP Hybrid and PCA Dimensionality Reduction,

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This paper cites Recent trends in prediction of chronic kidney disease using different learning approaches : a systematic literature review,.

Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Recent trends in prediction of chronic kidney disease using different learning approaches : a systematic literature review,

Reference 26

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Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Unresolved cited work

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Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Unresolved cited work

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This paper cites Enhancing the Early Detection of Chronic Kidney Disease : A Robust Machine Learning Model,.

Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Enhancing the Early Detection of Chronic Kidney Disease : A Robust Machine Learning Model,

Reference 29

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This paper cites Chronic Kidney Disease dataset.

Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Chronic Kidney Disease dataset

Reference 30

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Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Early and High-Accuracy Diagnosis of Parkinson ’ s Disease : Outcomes of a New Model,

Reference 31

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Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Automated Detection of Parkinson ’ s Disease Based on Multiple Types of Sustained Phonations Using Linear Discriminant Analysis and Genetically Optimized Neural Network,

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Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction An Optimized Framework for Breast Cancer Classification Using Machine Learning,

Reference 33

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Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction A CNN Hyperparameters Optimization Based on Particle Swarm Optimization for Mammography Breast Cancer Classification,

Reference 34

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Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Unresolved cited work

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Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Unresolved cited work

Reference 37

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Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Genetic -algorithm-optimized neural networks for gravitational wave classification,

Reference 38

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Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Assessing ranking and effectiveness of evolutionary algorithm hyperparameters using global sensitivity analysis methodologies,

Reference 39

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Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction An integrated approach of feature selection and machine learning for early detection of breast cancer,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:30:28.751636Z

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This paper cites A Robust Chronic Kidney Disease Classifier Using Machine Learning,.

Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction A Robust Chronic Kidney Disease Classifier Using Machine Learning,

Reference 41

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Observation 0e02c908-5714-4bc0-b9da-b96875091a1c · outbound

This paper cites Bayesian Optimization with Support Vector Machine Model for Parkinson Disease Classification,.

Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Bayesian Optimization with Support Vector Machine Model for Parkinson Disease Classification,

Reference 42

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Development of a Multiprocessing Interface Genetic Algorithm for Optimising a Multilayer Perceptron for Disease Prediction Unresolved cited work

Reference 2023

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Pith citing papers

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