An Electronic System for Summer Training Students Distribution in Organizations with Comparative Study of Association Rule Algorithms by Anhar Khairualdeen Mohammed, Suhair Abid Dawood

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Cross-validation for training and testing co-occurrence network inference algorithms by Daniel Agyapong, Jeffrey Ryan Propster, Jane Marks, Toby Dylan Hocking

“…Co-occurrence network inference algorithms help us understand the complex associations of micro-organisms, especially bacteria. …”
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Models and algorithms for decision support and their use in the simulator training of air traffic control specialists by A. M. Matskevich

“…Additionally, the weaknesses of modern simulator training were identified, associated with the significant labor costs for instructors and the obvious deficiency of reserves for expanding the typical composition of risk events. …”
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Algorithm-Based Real-Time Analysis of Heart Rate Measures in HIIT Training: An Automated Approach by Sergio Amat, Sonia Busquier, Carlos D. Gómez-Carmona, Manuel Gómez-López, José Pino-Ortega

“…This study proposes an automated algorithm to identify key heart rate parameters in real time, eliminating the need for manual supervision. …”
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Training Language Models for Estimating Priority Levels in Ultrasound Examination Waitlists: Algorithm Development and Validation by Kanato Masayoshi, Masahiro Hashimoto, Naoki Toda, Hirozumi Mori, Goh Kobayashi, Hasnine Haque, Mizuki So, Masahiro Jinzaki

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Knowledge Gap Extraction Based on Learner Interaction with Training Videos by Yosra Bahrani, Omid Fatemi

“…Similarly, the Apriori algorithm extracted rules for each behavioral category. …”
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Fault Diagnosis Method for Transformer Winding Based on Differentiated M-Training Classification Optimized by White Shark Optimization Algorithm by Guochao Qian, Kun Yang, Jin Hu, Hongwen Liu, Shun He, Dexu Zou, Weiju Dai, Haozhou Wang, Dongyang Wang

“…The principal contributions are threefold: First, building upon the fundamental principles of the M-training algorithm, we establish a classification model incorporating diversified classifiers. …”
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Train Neural Networks with a Hybrid Method That Incorporates a Novel Simulated Annealing Procedure by Ioannis G. Tsoulos, Vasileios Charilogis, Dimitrios Tsalikakis

“…This variant was applied periodically to randomly selected chromosomes from the population of the Genetic Algorithm in order to reduce the training error associated with these chromosomes. …”
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Mortality Risk Prediction in Patients With Antimelanoma Differentiation–Associated, Gene 5 Antibody–Positive, Dermatomyositis–Associated Interstitial Lung Disease: Algorithm Develo... by Hui Li, Ruyi Zou, Hongxia Xin, Ping He, Bin Xi, Yaqiong Tian, Qi Zhao, Xin Yan, Xiaohua Qiu, Yujuan Gao, Yin Liu, Min Cao, Bi Chen, Qian Han, Juan Chen, Guochun Wang, Hourong Cai

“…LR was chosen as the best algorithm for model construction, and the model demonstrated excellent performance, with an area under the receiver operating characteristic (ROC) curve (AUC) of 0.866, a sensitivity of 84.8%, and a specificity of 84.4% on the validation data set and an AUC of 0.90, a sensitivity of 85.0%, and a specificity of 83.9% on the training data set. …”
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Mixed-Embeddings and Deep Learning Ensemble for DGA Classification With Limited Training Data by Christian Morbidoni, Alessandro Cucchiarelli, Luca Spalazzi

“…Recent papers in the cybersecurity research field of Domain Generation Algorithms (DGAs) detection show the increase of performances associated with the introduction of unsupervised neural vectorized representation of domain names in the supervised classification process. …”
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Identification of Plasma Proteins Associated with Alzheimer's Disease Using Feature Selection Techniques and Machine Learning Algorithms by Zakaria Mokadem, Mohamed Djerioui, Bilal Attallah, Youcef Brik

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Physical fitness characteristics and comprehensive physical fitness evaluation model of basketball players based on association rule algorithm. by Yongkang Ding

“…Then, frequent item sets were extracted through the association rule mining algorithm, association rules were generated, and the key factors affecting the physical performance of athletes were analyzed. …”
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Replicating associative learning of rodents with a neuromorphic robot in an open-field arena by Tianze Liu, Kang Jun Bai, Hongyu An

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A traction load modeling method of metro trains based on the regenerative braking energy effective utilization and its application by SHI Dan, GAO Dongsheng, YANG Rui

“…Currently, many metro lines use ground energy storage facilities to gather regenerative braking energy of trains. The capacity configuration of the energy storage facility is closely associated with the characteristics of regenerative braking power of traction load in the power supply section. …”
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Fine-Grained Classification of Pressure Ulcers and Incontinence-Associated Dermatitis Using Multimodal Deep Learning: Algorithm Development and Validation Study by Alexander Brehmer, Constantin Seibold, Jan Egger, Khalid Majjouti, Michaela Tapp-Herrenbrück, Hannah Pinnekamp, Vanessa Priester, Michael Aleithe, Uli Fischer, Bernadette Hosters, Jens Kleesiek

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A diagnostic prediction model for anti-neutrophil cytoplasmic antibody associated vasculitis combined with glomerulonephritis based on machine learning algorithm by Wang Jian-mei, Zhu Ge-li, Cao Chen-lin, Peng Qing-quan

“…ObjectiveTo construct a diagnostic model for anti-neutrophil cytoplasmic antibody （ANCA）-associated vasculitis （AAV） combined with glomerulonephritis using both random forest （RF） and artificial neural network algorithms.MethodsDatasets were downloaded from the GEO and Array Express databases （GSE108113 and GSE104948 as training sets， E-MTAB-1944 as validation sets）. …”
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A diagnostic prediction model for anti-neutrophil cytoplasmic antibody associated vasculitis combined with glomerulonephritis based on machine learning algorithm by Wang Jian-mei, Zhu Ge-li, Cao Chen-lin, Peng Qing-quan

“…ObjectiveTo construct a diagnostic model for anti-neutrophil cytoplasmic antibody （ANCA）-associated vasculitis （AAV） combined with glomerulonephritis using both random forest （RF） and artificial neural network algorithms.MethodsDatasets were downloaded from the GEO and Array Express databases （GSE108113 and GSE104948 as training sets， E-MTAB-1944 as validation sets）. …”
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Application of ASP-NET technology based on B/S architecture in teacher management system by Ming Dong, Rui Pan

“…In this paper, an improved Fp-growth algorithm is proposed to mine data association rules by using the improved Fp-growth algorithm. …”
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Assessing training needs and influencing factors among personnel at centers for disease control and prevention in northeast China: a cross-sectional study framed by SDT and TPB usi... by Kexin Wang, Peng Wang, Min Wei, Yanping Wang, Huan Liu, Ruiqian Zhuge, Qunkai Wang, Nan Meng, Yiran Gao, Yuxuan Wang, Lijun Gao, Jingjing Liu, Xin Zhang, Mingli Jiao, Qunhong Wu

“…The SHAP based on XGBoost model indicated on-job training satisfaction had a strong association with training needs among public health personnel. …”
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Ship task safety analysis based on subjective and objective fusion functional resonance by Mingjing WANG, Xiaoer HE, Chen JIANG, Haobo QIU, Liang GAO

“…Next, the output variability of each function is calculated using the interval-valued hesitant fuzzy weighted average （IVHFWA） operator and Euclidean distance. The FP-growth algorithm is then employed to mine the association rules of upstream and downstream functions in accident cases, and the variability of function coupling is calculated based on the lift. …”
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