The construction process of the FCM clustering algorithm. by Xini Fang (20861990)

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MLP vs classification algorithms. by Mohd Mustaqeem (19106494)

Construction process of RF. by Xini Fang (20861990)

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Summary of all demographic, epidemiological and clinical data presented in data set used by the primary studies. by Sebastião Rogério da Silva Neto (11944944)

Summary of all non-clinical data (laboratory and others) presented in the data set used by the primary studies. by Sebastião Rogério da Silva Neto (11944944)

Clustering evaluation results of the FCM algorithm. by Xini Fang (20861990)

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The parameter settings of the RF algorithm after parameter optimization. by Xini Fang (20861990)

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Algorithm assessment of temporal drought class using TPM. by Muhammad Asif Khan (7367468)

San Diego PIRC (Primary Infection Resource Consortium) data: 1998-2019. by Sepideh Mazrouee (5191339)

Illustration of the texton detection process. by Vivian Akoto-Adjepong (18165075)

Features selected by optimization algorithms. by Afnan M. Alhassan (18349378)

“…Consequently, the prediction of BrC depends critically on the quick and precise processing of imaging data. The primary reason deep learning models are used in breast cancer detection is that they can produce findings more quickly and accurately than current machine learning-based techniques. …”

Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm by Hussein Ali Bardan (21976208)

“…In this work, we propose a novel framework that integrates </p><p dir="ltr">Convolutional Neural Networks (CNNs) for image classification and a binary Grey Wolf Optimization (GWO) </p><p dir="ltr">algorithm for feature selection. …”

Accession list and passport data. by Diego Felipe Conejo-Rodríguez (18495740)

“…<div><p>High-throughput phenotyping brings new opportunities for detailed genebank accessions characterization based on image-processing techniques and data analysis using machine learning algorithms. …”

Algorithm for generating hyperparameter. by Balraj Preet Kaur (20370832)

“…Motivated by the above, in this proposal, we design an improved model to predict the existence of respiratory disease among patients by incorporating hyperparameter optimization and feature selection. To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …”

Data_Sheet_1_Development of a Structured Query Language and Natural Language Processing Algorithm to Identify Lung Nodules in a Cancer Centre.PDF by Benjamin Hunter (2885960)

Hybrid feature selection algorithm of CSCO-ROA. by Afnan M. Alhassan (18349378)

“…Consequently, the prediction of BrC depends critically on the quick and precise processing of imaging data. The primary reason deep learning models are used in breast cancer detection is that they can produce findings more quickly and accurately than current machine learning-based techniques. …”

The robustness test results of the model. by Xini Fang (20861990)

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The relevant code in the manuscript can be found in the supporting information data file. by Xini Fang (20861990)

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Model performance comparison under different parameter settings. by Xini Fang (20861990)

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CRITIC weight calculation results for corporate operational risk warning indicators. by Xini Fang (20861990)

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