Analyzing Random Forest’s Predictive Capability for Type 1 Diabetes Progression by Niels F. Cleymans, Mark Van De Casteele, Julie Vandewalle, Aster K. Desouter, Frans K. Gorus, Kurt Barbe

Get full text

Interpretable prediction of stroke prognosis: SHAP for SVM and nomogram for logistic regression by Kun Guo, Kun Guo, Bo Zhu, Lei Zha, Yuan Shao, Zhiqin Liu, Naibing Gu, Kongbo Chen

Get full text

System architecture and key technologies of intelligent, safe and efficient mining for rockburst coal seams by Zhigang DENG, Yunpeng LI, Shankun ZHAO, Yin WANG, Shaogang LI, Linghai KONG, Junjun JIANG, Zhenguo SU, Yizhe LI, Kai QIN

Get full text

Prediction of carbon dioxide emissions from Atlantic Canadian potato fields using advanced hybridized machine learning algorithms – Nexus of field data and modelling by Muhammad Hassan, Khabat Khosravi, Aitazaz A. Farooque, Travis J. Esau, Alaba Boluwade, Rehan Sadiq

“…In this study, three novel machine learning algorithms of additive regression-random forest (AR-RF), Iterative Classifier Optimizer (ICO-AR-RF), and multi-scheme (MS-RF) were explored for carbon dioxide (CO2) flux rate prediction from three agricultural fields. …”
Get full text

Machine learning-based prediction of carotid intima–media thickness progression: a three-year prospective cohort study by An Zhou, Kui Chen, Kui Chen, Yonghui Wei, Qu Ye, Qu Ye, Yuanming Xiao, Rong Shi, Jiangang Wang, Wei-Dong Li

“…We evaluated seven machine learning algorithms: logistic regression, random forest, XGBoost, support vector machine (SVM), elastic net, decision tree, and neural network. …”
Get full text

Impact of cardiopulmonary resuscitation on a cannot intubate, cannot oxygenate condition: a randomised crossover simulation research study of the interaction between two algorithms by Thomas Ott, Jascha Stracke, Susanna Sellin, Marc Kriege, Gerrit Toenges, Carsten Lott, Sebastian Kuhn, Kristin Engelhard

“…In this stressful situation, two complex algorithms facilitate decision-making to save a patient’s life: difficult airway management and cardiopulmonary resuscitation. …”
Get full text

Construction of a random survival forest model based on a machine learning algorithm to predict early recurrence after hepatectomy for adult hepatocellular carcinoma by Ji Zhang, Qing Chen, Yu Zhang, Jie Zhou

“…The patients were randomly divided into two groups at a 7:3 ratio: training group (n = 378) and validation group (n = 163). …”
Get full text

Gear of functioning management accounting at agricultural enterprises by O.D. Panchenko

Get full text

Consenso sobre el algoritmo diagnóstico del prurigo crónico nodular by J. Ortiz de Frutos, E. Serra Baldrich, M.J. Tribó Boixareu, J.C. Armario Hita, J.M. Carrascosa Carrillo, I. Figueras Nart, Á. Flórez Menéndez, P. Herranz Pinto, J. Francisco Silvestre

“…The aim of this study was to reach consensus among a group of experts based on a non-systematic literature review and an algorithm for the clinical diagnosis of CNP. The resulting algorithm is structured in 3 blocks: 1) early identification of the patient with a possible diagnosis of CNP; 2) diagnosis and assessment of CNP; and 3) categorization of CNP (identification of the underlying causes or associated comorbidities).We believe that this clinical algorithm can facilitate the correct diagnosis of patients with CNP. …”
Get full text

Retrieval of Leaf Area Index for Wheat and Oilseed Rape Based on Modified Water Cloud Model and SAR Data by Xiyue Yang, Wangfei Zhang, Armando Marino, Han Zhao, Wei Kang, Zhengyong Xu

“…The proposed MWCM parameters were calibrated using an iterative optimization algorithm named the Levenberg–Marquardt (LM) algorithm. …”
Get full text

Interpretarea, instrument de atenuare a bias-ului algoritmic în contractele electronice/ Interpretation, a Tool for Mitigating Algorithmic Bias in Electronic Contracts by Sebastian ANTOCE

Get full text

Advancing flood susceptibility prediction: A comparative assessment and scalability analysis of machine learning algorithms via artificial intelligence in high‐risk regions of Paki... by Mirza Waleed, Muhammad Sajjad

Get full text

A wireless sensor data-based coal mine gas monitoring algorithm with least squares support vector machines optimized by swarm intelligence techniques by Peng Chen, Yonghong Xie, Pei Jin, Dezheng Zhang

Get full text

Optimization for route selection under the integration of dispatching and control at the railway station: A 0‐1 programming model and a two‐stage solution algorithm by Liang Ma, Kun Yang, Jin Guo, Yuanli Bao, Wenqing Wu

Get full text

Predictive Maintenance Algorithms, Artificial Intelligence Digital Twin Technologies, and Internet of Robotic Things in Big Data-Driven Industry 4.0 Manufacturing Systems by Marek Nagy, Marcel Figura, Katarina Valaskova, George Lăzăroiu

Get full text

A comparative study of ensemble learning algorithms for the classification of landslide activity using vegetation anomalies indicator (VAI): a case study of Kundasang, Sabah by Mohd Radhie Mohd Salleh, Muhammad Zulkarnain Abdul Rahman, Zamri Ismail, Mohd Faisal Abdul Khanan, Radzuan Sa’ari, Ahmad Razali Yusoff

Get full text

Predicting the risk of gastroparesis in critically ill patients after CME using an interpretable machine learning algorithm – a 10-year multicenter retrospective study by Yuan Liu, Songyun Zhao, Wenyi Du, Wei Shen, Ning Zhou

Get full text

Assessing the effect of ensemble learning algorithms and validation approach on estimating forest aboveground biomass: a case study of natural secondary forest in Northeast China by Hungil Jin, Yinghui Zhao, Unil Pak, Zhen Zhen, Kumryong So

Get full text

Big Data-Driven 3D Visualization Analysis System for Promoting Regional-Scale Digital Geological Exploration by Yiping Tian, Jiongqi Wu, Genshen Chen, Gang Liu, Xialin Zhang

“…The system integrates three core technological components: (1) a heterogeneous cloud resource scheduling method employing an optimized CMMN algorithm with unified cloud API standardization to enhance task distribution efficiency; (2) a block model-based dynamic data aggregation approach utilizing semantic unification and attribute mapping for multi-source geological data integration; (3) a GPU-accelerated rendering framework implementing occlusion culling and batch processing to optimize 3D visualization performance. …”
Get full text

Optimizing Green Supplier Selection and Order Allocation: A Fuzzy DNAP-Fuzzy TOPSIS-Bi Objective Mathematical Model Approach with Harmony Search Algorithm by Sara AmirSalami, Saeed Alaei

Get full text