Predicting the Bitcoin’s price using AI by Gil Cohen, Avishay Aiche

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The predictive role of identifying frailty in assessing the need for palliative care in the elderly: the application of machine learning algorithm by Zahra Nejatifar, Ahad Alizadeh, Mohammad Amerzadeh, Shideh Omidian, Sima Rafiei

“…Furthermore, the influential variables that contributed to predicting the need for palliative care included measured BMI reduction, fatigue status, physical activity level, slow walking, and FEV1. …”
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Optimization of machine learning algorithms for proteomic analysis using topsis by Javanbakht T., Chakravorty S.

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Assistance algorithm of nursing for amiodarone intravenous infusion by Francimar Tinoco de Oliveira, Graciele Oroski Paes, Maria Gefé da Rosa Mesquita, Victor Magalhães de Paula Souza, Elaine dos Santos Carlos, Caroline Scantamburlo Martins

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Assistance algorithm of nursing for amiodarone intravenous infusion by Francimar Tinoco de Oliveira, Graciele Oroski Paes, Maria Gefé da Rosa Mesquita, Victor Magalhães de Paula Souza, Elaine dos Santos Carlos, Caroline Scantamburlo Martins

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KDDC: a new framework that integrates kmers, dataset filtering, dimension reduction and classification algorithms to achieve immune cell heterogeneity classification by Nan Zhang, Nan Zhang, Shishun Zhao, Runze Wu, Xizi Luo, Ming Yang, Zecheng Chang, Jianting Xu

“…IntroductionIntegrating immune repertoire sequencing data with single cell sequencing data offers profound insights into the diversity of immune cells and their dynamic changes across various disease states.MethodsHere, we propose a novel KDDC framework that integrates kmers, dataset selection, dimensionality reduction and classification algorithms to facilitate the heterogeneous classification of immune cells.Results and DiscussionBy comparing various kmer length combinations across seven different classification algorithms, we found that B cell receptor-based cellsubset classification outperforms T cell receptor-based classification, achievingan average AUC of over 96%. …”
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Design of weighted based divided-search enhanced Karnik–Mendel algorithms for type reduction of general type-2 fuzzy logic systems by Yang Chen

“…Here the weighted type-reduction algorithms based on the Newton and Cotes quadrature formulas of numerical methods of integration technique are first given, and the searching spaces are divided. …”
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Predictive Model for Diagnosis of Gestational Diabetes in the Kurdistan Region by a Combination of Clustering and Classification Algorithms: An Ensemble Approach by Rasool Jader, Sadegh Aminifar

“…The suggested model uses the clustering KMeans technique for data reduction and the elbow method to find the optimal k value and the Mahalanobis distance method to find more related cluster to new samples, and the classification methods such as decision tree, random forest, SVM, KNN, logistic regression, and Naïve Bayes are used for prediction. …”
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Artificial intelligence technologies in predicting preeclampsia by A. A. Ivshin, T. Z. Bagaudin, A. V. Gusev

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Network reconfiguration and optimal distributed generations allocation with whale optimizer algorithm by Ahmadreza Abdollahi Chirani

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Comparing and Predicting Hepatic Encephalopathy Complications Using Random Forest Algorithm in Active Men by Bakhtyar Tartibian, Leila Fasihi, Rasoul Eslami, Ahmad Fasihi

“…Results: There was no significant difference in predicting encephalopathy complications by random forest algorithm between active and inactive men. …”
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Comparison and Prediction of Breast Cancer Using Discriminant Analysis Algorithm in Active and Inactive Women by Leila Fasihi, Hamid Agha-Alinejad, Reza Gharakhanlou, Francisco J. Amaro Gahete

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Nonlinear Volatility Risk Prediction Algorithm of Financial Data Based on Improved Deep Learning by Wangsong Xie

“…With the gradual integration of global economy and finance, the financial market presents many complex financial phenomena. To increase the prediction accuracy of financial data, a new nonlinear volatility risk prediction algorithm is proposed based on the improved deep learning algorithm. …”
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Optimising islanded AC microgrid control: A hierarchical approach with FCS-VMPC and consensus algorithm by Zawar Khan, Muhammad Aamir, Rizwanullah Khan, Mohd Fairouz Mohd Yousof

Subjects: “…Consensus algorithm…”
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Genetic programming-based algorithms application in modeling the compressive strength of steel fiber-reinforced concrete exposed to elevated temperatures by Mohsin Ali, Li Chen, Qadir Bux Alias Imran Latif Qureshi, Deema Mohammed Alsekait, Adil Khan, Kiran Arif, Muhammad Luqman, Diaa Salama Abd Elminaam, Amir Hamza, Majid Khan

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Implementation of the healthy heart tool- an algorithm with potential cardiometabolic health benefits in persons with severe mental illness by Elisabeth Haug Lund-Stenvold, Petter A. Ringen, Ole A. Andreassen, Torfinn L. Gaarden, Cecilie B. Hartberg, Erik Johnsen, Silje Myklatun, Kåre Osnes, Kjetil Sørensen, Arne Vaaler, Serena Tonstad, John A. Engh, Anne Høye

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Research on E-Commerce Inventory Sales Forecasting Model Based on ARIMA and LSTM Algorithm by Chenyang Wang, Junsheng Wang

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A Predictive Map of Larvae Presence Risk Based on Modeling Algorithm in Urban Settings of Endemic Area by Hidayah Nurul, Suhartono Eko, Hidayat Ahmad, Prastya Septyan Eka, Ramadhan Ahmad Rasyid Ridha

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A Gray Predictive Evolutionary Algorithm with Adaptive Threshold Adjustment Strategy for Photovoltaic Model Parameter Estimation by Wencong Wang, Baoduo Su, Quan Zhou, Qinghua Su

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Fixed Depth Control Strategy for Remotely Operated Vehicle Based on Improved Model Predictive Control Algorithm by Shuo YANG, Honghui WANG, Xinyu LIU, Xin FANG, Guanghao LI, Guijie LIU

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