An Approach to Truck Driving Risk Identification: A Machine Learning Method Based on Optuna Optimization by Zhaofei Wang, Hao Li, Qiuping Wang

“…Combining the running time, precision, recall, and F1-Score, the LightGBM model optimized based on the Tree-structured Parzen Estimator (TPE) algorithm has the best performance with a precision of 0.98. …”
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Pointer Meter Reading Recognition Based on YOLOv11-OBB Rotated Object Detection by Xing Xu, Liming Wang, Chunhua Deng, Bi He

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A Performance Analysis of Business Intelligence Techniques on Crime Prediction by Ivan, Niyonzima, Emmanuel Ahishakiye, Elisha Opiyo Omulo, Ruth Wario

“…There is a need to identify the most efficient algorithm that can be used in crime prediction given the past crime data. …”
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A selective approach to human age estimation: a case study of cranial suture closure methods by Shirobokov I.G.

“…Estimates generated by the algorithm from primary data collected by different researchers also show a good level of interobserver agreement.…”
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Left ventricular noncompaction associated with titin-truncating variants in the TTN gene by Yu. A. Vakhrushev, T. I. Vershinina, P. A. Fedotov, A. A. Kozyreva, A. M. Kiselev, Yu. V. Fomicheva, E. S. Vasichkina, T. M. Pervunina, A. A. Kostareva

“…The article discusses three clinical cases of patients with left ventricular noncompaction who were treated at theAlmazovNationalMedicalResearchCenter. We performed a new-generation sequencing of 108 genes associated with cardiomyopathies, as well as whole exome sequencing and Sanger sequencing.Results. …”
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Robust Control for a Slung-Mass Quadcopter Under Abrupt Velocity Changes by Sergio Salazar, Jonathan Flores, Iván González-Hernández, Yukio Rosales-Luengas, Rogelio Lozano

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Weight optimization of steel lattice transmission towers based on Differential Evolution and machine learning classification technique by Tran-Hieu Nguyen, Anh-Tuan Vu

“…Therefore, discovering effective ways to design lattice towers has attracted the interest of researchers. This paper presents a method that integrates Differential Evolution (DE), a powerful optimization algorithm, and a machine learning classification model to minimize the weight of steel lattice towers. …”
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Pengembangan Deep Learning untuk Sistem Deteksi Dini Komplikasi Kaki Diabetik Menggunakan Citra Termogram by Medycha Emhandyksa, Indah Soesanti, Rina Susilowati

“…In addition to the deep convolutional neural network architecture model 4, the research contribution obtained from this research is the use of filter size variations of 3x3, 2x2, and 1x1 with a fixed number of convolutional layers and a reduction in the number of hidden layers in the algorithm structure can reduce the number of model parameters while maintaining high detection capability. …”
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Machine learning-based model for acute asthma exacerbation detection using routine blood parameters by Youpeng Chen, Junquan Sun, Yabang Chen, Enzhong Li, Jiancai Lu, Huanhua Tang, Yifei Xie, Jiana Zhang, Lesi Peng, Haojie Wu, Zhangkai J. Cheng, Baoqing Sun

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Evaluation of drug-drug interaction between Suraxavir Marboxil (GP681) and itraconazole, and assessment of the impact of gene polymorphism by Mai Han, Gang Cui, Yan Zhao, Xianbo Zuo, Xiaoxue Wang, Xin Zhang, Na Mi, Jiangli Jin, Chunyan Xiao, Jing Wang, Wei Wu, Yajuan Li, Jintong Li

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Epidermolysis Bullosa Acquisita in Children: Case Series by Nikolay N. Murashkin, Leonid A. Opryatin, Alexander I. Materikin, Eduard T. Ambarchyan, Roman V. Epishev, Maria A. Nefedova

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Emerging opportunities and challenges for the future of reservoir computing by Min Yan, Can Huang, Peter Bienstman, Peter Tino, Wei Lin, Jie Sun

“…To unlock the full capabilities of reservoir computing towards a fast, lightweight, and significantly more interpretable learning framework for temporal dynamical systems, substantially more research is needed. This Perspective intends to elucidate the parallel progress of mathematical theory, algorithm design and experimental realizations of reservoir computing, and identify emerging opportunities as well as existing challenges for large-scale industrial adoption of reservoir computing, together with a few ideas and viewpoints on how some of those challenges might be resolved with joint efforts by academic and industrial researchers across multiple disciplines.…”
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Initiation and intensification of antihyperglycemic therapy in type 2 diabetes mellitus: Update of Russian Association of Endocrinologists expert consensus document (2015) by Ivan Ivanovich Dedov, Marina Vladimirovna Shestakova, Alexander Sergeevich Ametov, Mikhail Borisovich Antsiferov, Gagik Radikovich Galstyan, Alexander Yur'evich Mayorov, Ashot Musaelovich Mkrtumyan, Nina Alexandrovna Petunina, Olga Yur'evna Sukhareva

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An Adaptive Multi-Fidelity Surrogate Model for Uncertainty Propagation Analysis by Wei Xiao, Yingying Shen, Jiao Zhao, Luogeng Lv, Jiangtao Chen, Wei Zhao

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RADIATION MONITORING THE INDUSTRIAL NUCLEAR EXPLOSION SITES AND EVALUATION OF THE DOSES TO THE CRITICAL GROUPS OF POPULATION by V. P. Ramzaev, A. Yu. Medvedev, V. S. Repin, M. A. Timofeeva, E. V. Khramtsov

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Emergency Dispatch Strategy Considering Spatiotemporal Evolution of Power Grid Failures Under Typhoon Conditions by Bixing Ren, Dajiang Wang, Chenggen Wang, Qiang Li, Yingjie Hu, Yongyong Jia

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Optimizing Stack-Yard Positioning in Full Shoreline Loading Operations by Xueqiang Du, Bencheng Luo, Jing Wang, Jieting Zhao, Dahai Li, Qian Sun, Haobin Li

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Watershed Health Prediction based on Surface Water Quality Variables (Case Study: Taleghan Watershed) by Payam Ebrahimi, Ali Salajegheh, Mohsen Mohseni Saravi, Arash Malekian, Amir Sadoddin

“…In this study, the gene expression algorithm for modeling water quality data and its changes has been investigated. …”
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Pemodelan Sistem Monitoring Kualitas Udara Pintar Berbasis Internet of Things dengan Pendekatan Machine Learning by Eddy Prasetyo Nugroho, Ani Anisyah, Deva Shofa Al Fathin, Muhammad Nur Yasin Amadudin, Muhammad Satria Ramadhani, Yosafat

“…The combination of the real-time sensor and the LSTM algorithm resulted in an air quality prediction accuracy rate of 88%. …”
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Digitalization of HRM for strategic human resource management orientation: Logistic regression and dominance analysis approach by Rimac Bilušić Milka, Pološki Vokić Nina

“…The results of DA demonstrate that the most important digital HRM practices for the SHRM orientation is digital learning. Limitations/future research: As CRANET dataset is limited in its variables of digital HRM and indicators of SHRM orientation, further research is needed to confirm our findings.…”
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