Thermal Management for Electric Motorcycles—Multi-Scale Modelling and Battery Thermal Design Evaluation by Tao Zhu, Mehmet Kirca, Shilei Zhou, Truong Dinh, Andrew McGordon

“…Particularly, the proposed battery model is structured across the pack–module–cell hierarchy, which makes it capable of distinguishing the thermal state of each individual cell and the cell-to-cell performance variations resulting from temperature effects. …”
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Solar radiation prediction: A multi-model machine learning and deep learning approach by C Vanlalchhuanawmi, Subhasish Deb, Md. Minarul Islam, Taha Selim Ustun

“…A new hybrid approach GBR-RNN model was developed, achieving superior performance in terms of RMSE, MAE, and R2 metrics. …”
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Wheat disease recognition method based on the SC-ConvNeXt network model by Tianliang Dong, Xiao Ma, Bin Huang, Wenyu Zhong, Qingan Han, Qinghai Wu, You Tang

“…The model employs ConvNeXt-T as the feature extraction network. …”
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Enhancing Going Concern Prediction Models: Integrating Text Mining with Data Mining Approaches by Hamid Abbaskhani, Asgar Pakmaram, Nader Rezaei, Jamal Bahri Sales

“…Data analysis and hypothesis testing were performed using the logit regression model and the Vuong test. …”
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Validation of a machine learning model for indirect screening of suicidal ideation in the general population by Polona Rus Prelog, Teodora Matić, Peter Pregelj, Aleksander Sadikov

“…The model performed on par with the earlier study, surprisingly generalizing well even with different characteristics of the underlying population, not showing any significant effect of the machine learning drift. …”
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AFN-Net: Adaptive Fusion Nucleus Segmentation Network Based on Multi-Level U-Net by Ming Zhao, Yimin Yang, Bingxue Zhou, Quan Wang, Fu Li

“…In addition, to further improve the performance of the network under different resolution features, we designed a Double-Stage Channel Optimization Module (DSCOM) in the first two layers of the model. …”
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Fault Detection in Power Transformers Using Frequency Response Analysis and Machine Learning Models by Ncedo S. Maseko, Bonginkosi A. Thango, Nkateko Mabunda

“…A systematic approach utilizing a confusion matrix was applied to classify faults such as partial discharges and winding deformation. The performance of ML models, including Decision Trees and Subspace KNN, was assessed in terms of classification accuracy. …”
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Transfer learning-enhanced CNN-GRU-attention model for knee joint torque prediction by Hao Xie, Yingpeng Wang, Tingting Liu, Songhua Yan, Jizhou Zeng, Kuan Zhang

“…The generalization of joint torque estimation models across different individuals faces a significant challenge, as feature transferability tends to decline in higher, task-specific layers, reducing model performance.MethodsIn this study, we proposed a CNN-GRU-Attention neural network model combining a neuromusculoskeletal (NMS) solver-informed (hybrid-CNN) augmented with transfer learning, designed to predict knee joint torque with higher accuracy. …”
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ASSESSMENT OF THE GENERAL MACROECONOMIC BALANCE MODEL OF THE EXPORTORIENTED ECONOMIES (ON THE BASIS OF KAZAKHSTANI AND RUSSIA ECONOMIES) by D. B. Kunasheva, V. N. Sidorenko, Y. V. Bayeva

“…As a result of the analysis, it is identified that the direct and portfolio investments dynamics is determined by the leading industries’ profitability and exchange rates.These identified features of interconnection impose significant (almost overwhelming) restrictions on applying the IS-LM model in open economy to implement the macroeconomic regulation and forecasting in export oriented countries.…”
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Advanced Deep Learning Models for Melanoma Diagnosis in Computer-Aided Skin Cancer Detection by Ranpreet Kaur, Hamid GholamHosseini, Maria Lindén

“…In this work, two forms of evaluations are performed with the classification model. The first experiment involves the incorporation of the results from the preprocessing and segmentation stages into the classification model. …”
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Bridge Deflection Separation Prediction Model Based on DWT-LSTM and Its Engineering Application by ZHENG Shuai, JIANG He, WANG Zhongchang, DING Jia, YANG Yi

“…This paper proposes a deflection separation-prediction model for bridges by integrating wavelet optimization and long short-term memory networks, aiming to capture multi-scale features of deflection signals and account for external influences.MethodsFirstly, an Internet of Things monitoring system was employed to investigate deflection behavior in in-service bridges. …”
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Presenting a Model for Developing Organizational Citizenship Behavior in Iraqi Secondary School Teachers by Maha Mohammed Abbas AL-KHATEEB, Kobra Emami Rizi, MUNA MOHAMMED ABBAS AL-KHATEEB, Narges Saeidian Khorasgani

“…The present study shows that strengthening organizational citizenship behavior in teachers not only leads to improving the educational environment and increasing the motivation of teachers and students, but also has a positive impact on the overall performance of the education system. Conclusion The present study was conducted with the aim of presenting a model for developing organizational citizenship behavior in Iraqi secondary school teachers. …”
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Improving EEG based brain computer interface emotion detection with EKO ALSTM model by R. Kishore Kanna, Preety Shoran, Meenakshi Yadav, Mohammad Nadeem Ahmed, Shrikant Burje, Garima Shukla, Anurag Sinha, Mohammad Rashid Hussain, Saifullah Khalid

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Constructing inflammatory bowel disease diagnostic models based on k-mer and machine learning by Liwei Li, Zheng Liu, Jiamin Qin, Guang Xiong, Chongze Yang, Fuqing Cai, Jiean Huang

“…Across all machine learning frameworks, the FFNN consistently attained the highest ROC AUC, underscoring its superior diagnostic performance.ConclusionThe integration of k-mer-based feature extraction with machine learning offers a non-invasive, highly accurate approach for IBD diagnosis, surpassing traditional microbiota-based models. …”
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UAV photogrammetry for archaeological site survey. 3D models at the Hierapolis in Phrygia (Turkey) by Filiberto Chiabrando, Francesco D'Andria, Giulia Sammartano, Antonia Spanò

“…The 3D aerial survey was performed for multiple purposes with the eBee system by Sensefly. …”
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Lactylation-related risk model for prognostication and therapeutic responsiveness in uterine corpus endometrial carcinoma by Yupeng Yin, Min Luo

“…Additionally, we investigated the relationship between IGSF1 gene expression and clinical features. Gene Set Enrichment Analysis (GSEA) was performed to explore the function of the IGSF1 gene. …”
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Digital Service Model of Red Educational Resources from the Perspective of Excellent Traditional Culture by Dan Liu

“…Establish a red education resource data index database, query and process documents, and build a digital service model. The experimental results show that the designed service model has good goodness of fit and high performance.…”
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Holistic model of the formation of requirements for freight cars on the example of the “Northern Latitudinal Railway” project by S. V. Petrov, I. V. Nazarov, O. N. Nazarov

“…Therefore, the efficiency of freight transportation does not depend to a small extent on the quality of cars.In this regard, the article highlights the results of the development of a holistic model for the formation of requirements for freight cars that increase the efficiency of the transportation process, taking into account the features of specific transportation conditions. …”
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Assessing the multi-scale predictive ability of ecosystem functional attributes for species distribution modelling. by Salvador Arenas-Castro, João Gonçalves, Paulo Alves, Domingo Alcaraz-Segura, João P Honrado

“…Moreover, EFA-based models identified additional suitable areas and provided valuable information on functional features of habitat suitability for both test species (narrowly vs. widely distributed), for both coarse and fine scales. …”
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Estimating canopy nitrogen content by coupling PROSAIL-PRO with a nitrogen allocation model by Dong Li, Yapeng Wu, Katja Berger, Qianliang Kuang, Wei Feng, Jing M. Chen, Wenhui Wang, Hengbiao Zheng, Xia Yao, Yan Zhu, Weixing Cao, Tao Cheng

“…The model inversion method was comparable with the hybrid retrieval method for ground platforms, but performed better for airborne and satellite platforms. …”
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