Scheduling Optimization of Electric Rubber-Tired Vehicles in Underground Coal Mines Based on Constraint Programming by Maoquan Wan, Hao Li, Hao Wang, Jie Hou

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Downscaling of ERA5 reanalysis land surface temperature based on attention mechanism and Google Earth Engine by Shiyu Li, Hong Wan, Qun Yu, Xinyuan Wang

“…The downscaling method proposed in this study can effectively improve the accuracy of ERA5-Land LST downscaling, providing new insights for LST downscaling research.…”
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A robust, deep learning-based analysis of time-domain signals for NMR spectroscopy by Kyungdoe Han, Eunhee Kim, Kyoung-Seok Ryu, Donghan Lee

“…Most modern NMR processing software applies FT to generate the final spectra. Researchers process FID using various techniques, such as phase correction, windowing, and FT, to enhance the interpretation of the obtained spectra. …”
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Light scattering-based screening method for rapid evaluating antibiotic effects on bacteria using laser speckle imaging by Donghyeok Kim, Seongjoon Moon, Jongseo Lee, Kyoungman Cho, Changhan Lee, Jonghee Yoon

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Urban Water-Energy consumption Prediction Influenced by Climate Change utilizing an innovative deep learning method by Dianli Wang, Yu Zhang, Nasser Yousefi

“…The proposed approach integrates a CNN model with an Enhanced Gorilla Troops Optimization (EGTO) algorithm to demonstrate superior performance compared to other leading methods in terms of accuracy and reliability. …”
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Hybrid DWT NLM method with NOA optimization for ECG signal denoising by Wen Chen, Yuanfang Zhang, Kaimin Yu, Chufeng Huang, Peibin Zhu, Qihui Wu, Jianzhong Hao

“…This research holds promise for integration into wearable ECG sensors, potentially enhancing the diagnostic accuracy of cardiovascular diseases.…”
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TEACHING COMPUTATIONAL THINKING IN SAUDI ARABIAN SCHOOLS USING SMARTPHONE APPS by Abdullah Alenezi

“…Computational thinking, encompassing problem-solving, computational logic, and algorithmic thinking, is an essential skill in the modern world. …”
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Low-noise optimization design for underwater series-connected multi-sphere composite shell structure by Hefan LI, Guanjun ZHANG, Yuzhao KE

“…Finally, underwater acoustic radiation experiments were carried out, and the experimental test values were compared with the simulation values to validate the accuracy of the simulation results.ResultsThe results show that after optimization, the total underwater radiation sound power level of the series-connected multi-sphere composite shell under vertical excitation was reduced by 2.92 dB, while the mass was decreased by 0.061 t.ConclusionThe research provides new insights into the optimization of low-noise structural design methods.…”
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Efficient colour filter array demosaicking with prior error reduction by M.S. Safna Asiq, WR Sam Emmanuel

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A Promising Methodological Approach to Identifying Areas with the Greatest Potential for the Development of the City Cycling Infrastructure by O. А. Grishina, A. I. Grishin, I. A. Stroganov

“…The purpose of the research presented in this article is to develop a methodology for identifying promising areas with the greatest potential for the development of cycling infrastructure (CI). …”
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Linguo-Conceptual Studies of Literary Text: Evolution of Theoretical and Methodological Approaches by I. V. Kononova, T. A. Pruczkikh

“…A  conclusion  was  made  regarding  the  potential  of applying  corpus  research  methods  in  the  field  of  cognitive  poetics.  …”
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ENDOCRINE PANCREATIC FUNCTION IN ACUTE PANCREATITIS by P. V. Novokhatny

“…However, there is still no clear understanding of the pathogenetic mechanisms of hormonal dysfunction of the pancreas in acute pancreatitis, there is no uniform algorithms for its correction. Aim of the research was to study the endocrine function of pancreas in acute pancreatitis. …”
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Tribological Performance Enhancement in FDM and SLA Additive Manufacturing: Materials, Mechanisms, Surface Engineering, and Hybrid Strategies—A Holistic Review by Raja Subramani, Ronit Rosario Leon, Rajeswari Nageswaren, Maher Ali Rusho, Karthik Venkitaraman Shankar

“…Further, the review highlights the growing use of finite element modeling, digital twins, and machine learning algorithms for predictive control of tribological performance at AM parts. …”
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Energy-Balanced Uneven Clustering Protocol Based on Regional Division for Sensor Networks by Chao Sha, Tian-cheng Shen, Jin-yu Chen, Yao Zhang, Ru-chuan Wang

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Bearing Fault Diagnosis Grounded in the Multi-Modal Fusion and Attention Mechanism by Jianjian Yang, Haifeng Han, Xuan Dong, Guoyong Wang, Shaocong Zhang

“…The experimental results show that compared to mainstream algorithms such as Vision Transformer, Swin Transformer, and ConvNeXt, the Fusion Attention Network for Bearing Diagnosis (FAN-BD) achieves higher accuracy and robustness in fault diagnosis tasks, providing an efficient and reliable solution for bearing fault diagnosis.The proposed model outperforms ViT, Swin Transformer, ConvNeXt, and CBMA-ViT in terms of classification accuracy, achieving an accuracy of 97.5%. …”
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Phylo-rs: an extensible phylogenetic analysis library in rust by Sriram Vijendran, Tavis Anderson, Alexey Markin, Oliver Eulenstein

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An AI-Based Digital Scanner for <i>Varroa destructor</i> Detection in Beekeeping by Daniela Scutaru, Simone Bergonzoli, Corrado Costa, Simona Violino, Cecilia Costa, Sergio Albertazzi, Vittorio Capano, Marko M. Kostić, Antonio Scarfone

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Manhattan Distance-based K-Medoids Clustering Improvement for Diagnosing Diabetic Disease by Solikhun, Muhammad Rahmansyah Siregar, Lise Pujiastuti, Mochamad Wahyudi

“…In testing with the Quantum K-Medoids algorithm, it was found that the cost value in the 8th epoch showed a significant decrease compared to the Classical K-Medoids algorithm. …”
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Machine Learning Unveils the Impacts of Key Elements and Their Interaction on the Ambient-Temperature Tensile Properties of Cast Titanium Aluminides Employing SHAP Analysis by Shiqiu Liu, Li Liang

“…This study facilitates the data-driven design of novel cast TiAl alloys by systematically investigating the critical elements and their interactions affecting room-temperature (RT) tensile properties by the machine learning method based on SHAP analysis. Comparative analysis of three algorithms within the training dataset proved the random forest regression (RFR) as the optimal modeling approach. …”
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DBANet: a dual-branch convolutional neural network with attention enhancement for motor imagery classification by Dandan Liang, Brendan Z. Allison, Ruiyu Zhao, Andrzej Cichocki, Jing Jin

“…Finally, the combined features are applied for classification.Results The subject-dependent results of our proposed framework on the three datasets (BCI Competition IV dataset 2b, 2a and ECUST dataset) are 85.19%, 85.15% and 75.24%, respectively.Comparison with existing methods We conduct an extensive study between the proposed framework and five State-of-the-Art models, including FBCSP, ShallowConvNet, EEGNet, FBCNet, and IFNet.Conclusions for research articles We certificate the superiority of the proposed framework by conducting comparative experiments on three datasets with advanced MI decoding algorithms.…”
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