Predictive Energy Management for Docker Containers in Cloud Computing: A Time Series Analysis Approach by Abdulmohsen Algarni, Iqrar Shah, Ali Imran Jehangiri, Mohammed Alaa Ala'Anzy, Zulfiqar Ahmad

“…In this study, we employ three time series analysis algorithms—AR, ARIMA, and ETS—to predict the energy usage of Docker containers over the next hour. …”
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Interpretable machine learning for predicting isolated basal septal hypertrophy. by Lei Gao, Boyan Tian, Qiqi Jia, Xingyu He, Guannan Zhao, Yueheng Wang

“…However, no predictive models for BSH have been developed using machine learning algorithms.…”
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Employing Machine Learning-Based Predictive Analytical Approaches to Classify Autism Spectrum Disorder Types by Muhammad Kashif Hanif, Naba Ashraf, Muhammad Umer Sarwar, Deleli Mesay Adinew, Reehan Yaqoob

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Human-Centric IoT-Driven Digital Twins in Predictive Maintenance for Optimizing Industry 5.0 by Özlem Sabuncu, Bülent Bilgehan

“…The model was further compared with the PSO algorithm, demonstrating its superiority with a 7.5% reduction in total maintenance cost and a 6.3% decrease in total downtime. …”
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Predictive biomarkers and molecular subtypes in DLBCL: insights from PCD gene expression and machine learning by Tiantian He, Jie Geng, Chuandong Hou, Hongyi Li, Hong Zhang, Peng Zhao, Peifeng He, Xuechun Lu

“…Additionally, 12 machine learning algorithms were employed to construct predictive models for DLBCL, with performance evaluated using AUC and F-score metrics. …”
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Beyond accuracy: a framework for evaluating algorithmic bias and performance, applied to automated sleep scoring by Michal Bechny, Luigi Fiorillo, Julia van der Meer, Markus Schmidt, Claudio Bassetti, Athina Tzovara, Francesca Faraci

“…Despite these biases, we illustrate that both algorithms maintain non-inferior performance in the risk assessment of sleep apnea based on prediction-derived markers, highlighting the potential and clinical utility of algorithmic insights.…”
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Generalized PCA Method and Its Application in Uncertainty Reasoning by Bin Wu, Xiao Yi, Dong Ning Zhao

“…The traditional PCA algorithm is a special case of the generalized PCA algorithm proposed in this paper. …”
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Classifying Divorce Cases in Iranian Judiciary Courts Using Machine Learning: A Predictive Perspective by Elham Tabrizi, Mohadeseh Farzammehr

“…Using data collected between 2011 and 2018 and various machine learning algorithms, the study evaluates the performance of predictive models through a rigorous 10-fold cross-validation process. …”
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Post-processing methods for mitigating algorithmic bias in healthcare classification models: An extended umbrella review by Shaina Mackin, Vincent J. Major, Rumi Chunara, Remle Newton-Dame

“…Abstract Background AI and predictive analytics have increased the speed of innovation in medicine. …”
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Assessment of Machine Learning Methods for Concrete Compressive Strength Prediction by Oluwafemi Omotayo, Chinwuba Arum, Catherine Ikumapayi

“…The study considered a wide range of literature data and examined the efficiency of boosted algorithms in predicting the strength of ordinary Portland cement concrete. …”
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Analysis and Optimization of the Vibro-acoustic Coupled of Crane Reducer by Dai Jun

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Linear Model and Gradient Feature Elimination Algorithm Based on Seasonal Decomposition for Time Series Forecasting by Sheng-Tzong Cheng, Ya-Jin Lyu, Yi-Hong Lin

“…However, while deep learning models offer high predictive accuracy, their lack of interpretability often undermines decision-makers’ trust. …”
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Enhanced Model Predictive Control Using State Variable Feedback for Steady-State Error Cancellation by Marcos Andreu, Jaime Rohten, José Espinoza, José Silva, Esteban Pulido, Lesyani Leon

“…The rapid dynamic responses of predictive control algorithms are widely acknowledged. …”
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Predictive models based on machine learning to analyze the adoption of digital payments in Latin America and the Caribbean by Jiang Wagner Mamani Lopez, Antonio Víctor Morales Gonzales, Pedro Pablo Chambi Condori

“…The performance of the Random Forest, LightGBM, XGBoost, and CatBoost algorithms was compared, with the optimal hyperparameter combination identified through Bayesian optimization. …”
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Machine learning in predicting firm performance: a systematic review by Yaseen Hezam, Hoa Luong, Lilian Anthonysamy

“…It aims to assess the effectiveness of various ML methods and algorithms used in recent research, focusing on the prediction of firm performance across multiple dimensions. …”
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Predictive Analytics for Sucker Rod Pump Failures in Kazakhstani Oil Wells Using Machine Learning by Laura Utemissova, Timur Merembayev, Bakbergen Bekbau, Sagyn Omirbekov

“…This article presents a novel methodology for predicting downhole pumping equipment failures. A detailed analysis was conducted on historical data regarding downhole pumping equipment failures, which were then incorporated into algorithms to calculate the operation of downhole equipment. …”
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Dynamic load balancing in cloud computing using predictive graph networks and adaptive neural scheduling by K. Rajammal, M. Chinnadurai

“…The proposed SNN model identifies the short-term workload fluctuations and long-term trends whereas TGNN represents the cloud environment as a dynamic graph to predict future resource availability. Additionally, reinforcement learning is incorporated in the proposed work to optimize SNN decisions based on feedback from the TGNN’s state predictions. …”
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A network-based approach for predicting missing pathway interactions. by Saket Navlakha, Anthony Gitter, Ziv Bar-Joseph

“…Unlike existing algorithms for predicting general protein interactions, by focusing on proteins involved in specific responses our approach homes-in on pathway-consistent interactions. …”
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A multi-algorithm prognostic model combining inflammatory indices and surgical features in distal cholangiocarcinoma by Yi Yin, Yi Yin, Luyuan Bai, Xinyue Mu, Xinyue Mu, Shan Zhang, Panpan Zhai, Panpan Zhai

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Proposal for Using AI to Assess Clinical Data Integrity and Generate Metadata: Algorithm Development and Validation by Caroline Bönisch, Christian Schmidt, Dorothea Kesztyüs, Hans A Kestler, Tibor Kesztyüs

“…The performance of the predictive quality algorithms was assessed based on accuracy, precision, recall, and scoring. …”
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