Dynamic Stability for Seismic-Excited Earth Retaining Structures Following a Nonlinear Criterion by Jingshu Xu, Jiahui Deng, Zemian Wang, Linghao Qi, Yundi Wang

“…The validity of the research results was verified through comparative analysis. …”
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Developing an SSVEP-Based BCI System for Multi-Objective Control via IoT Integration by Jinsha Liu, Boning Li, Takaharu Yamazaki, Jianting Cao

“…We focus on the capabilities of EEG to decode brain signals using modalities such as SSVEP, which is enhanced through Canonical Correlation Analysis (CCA) algorithm to improve classification accuracy. Additionally, we discuss the merging of these technologies with the Internet of Things (IoT) to extend BCI applications into daily activities through multi-device control system. …”
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Renal failure in patients with hematological malignancies (literature review) by E. G. Gromova

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Privacy-preserving detection and classification of diabetic retinopathy using federated learning with FedDEO optimization by Dasari Bhulakshmi, Dharmendra Singh Rajput

“…The results demonstrate that implementing these algorithms in an FL environment significantly improves privacy and performance compared to other approaches. …”
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Assessing regional economic systems balance based on the dynamics of key social and economic indicators by A. A. Shatsky

“…Public authorities, business entities, and scientific and research organizations have been identified as the main participants of RES. …”
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Design Method for Low-Ice-Class Propellers Based on Multi-Objective Optimization by Chenxu Gu, Kang Han, Kaiqiang Weng, Chao Wang, Chunhui Wang

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LSTM-Based State-of-Charge Estimation and User Interface Development for Lithium-Ion Battery Management by Abdellah Benallal, Nawal Cheggaga, Amine Hebib, Adrian Ilinca

“…The Hyperband optimization algorithm accelerates model training and enhances adaptability to varying operating conditions, making it scalable for diverse battery applications. …”
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A speed optimization model for connected and autonomous vehicles at expressway tunnel entrance under mixed traffic environment. by Jianrong Cai, Yang Liu, Zhixue Li

“…However, existing speed optimization models mainly focus on urban signal-controlled intersections or expressway weaving zones, neglecting research on speed optimization in expressway tunnel entrances. …”
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AI-Powered Eye Tracking for Bias Detection in Online Course Reviews: A Udemy Case Study by Hedda Martina Šola, Fayyaz Hussain Qureshi, Sarwar Khawaja

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Optimisation of railway tamping scheduling by Mahdi Khosravi, Alireza Ahmadi, Ahmad Kasraei, Arne Nissen

“…This research was devoted to optimising opportunistic tamping scheduling to present a cost-effective approach that considers both preventive and corrective tamping activities. …”
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Predictive ANN Modeling and Optimization of Injection Molding Parameters to Minimize Warpage in Polypropylene Rectangular Parts by Juan Luis Gámez, Amparo Jordá-Vilaplana, Miguel Angel Peydro, Miguel Angel Selles, Samuel Sanchez-Caballero

“…Based on the Backpropagation Neural Network algorithm, the optimized ANN model accurately predicts warpage by considering factors such as part thickness, flow path distance, and flow path tangent. …”
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Prediksi Penggunaan Obat Peserta Jaminan Kesehatan Nasional Menggunakan Algoritma Naïve Bayes Classifier by Tugiman, Lily Damayanti, Alexius Hendra Gunawan, Samuel Ryon Elkana

“…The system can predict drug demand by using drug sales data to JKN participant patients for five years. Drug data used as research samples and then processed using an algorithm is the Naive Bayes Classifier. …”
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Machine learning approach for solar irradiance estimation on tilted surfaces in comparison with sky models prediction by Mbah O. M., Madueke C. I., Umunakwe R., Okafor C. O.

“…Compared to the measured data, it was discovered that the Extreme Gradient Boosting (XGBoost) algorithm offered the best performance with the least inaccuracy to sky models.…”
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CM3D: A circular materials Multi-Criteria Decision-Making tool for medical devices by Zahrina Mardina, Rory P. Turnbull, Shahin Rahimifard, Richard Bibb, Peter Culmer

“…Stakeholders informed selection of circular evaluation criteria, with the VIKOR algorithm used to rank material alternatives to identify an ideal ‘circular’ candidate.A case study demonstrates CM3D’s practical application in laparoscopic scissor blades and handles. …”
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The design of copper flotation process based on multi-label classification and regression by Haipei Dong, Fuli Wang, Dakuo He, Yan Liu

“…The experimental results demonstrate the significantly superiority of the proposed method in the copper flotation process design. The above research has significant implications for the engineering application of artificial intelligence. …”
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Machine Learning and Feature Selection-Enabled Optimized Technique for Heart Disease Classification and Prediction by P. Nancy, Prasad Raghunath Mutkule, Kalpana Sunil Thakre, Ajay S. Ladkat, S.B.G. Tilak Babu, Sunil L. Bangare, Mohd Naved

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SAC-Based Intelligent Load Relief Attitude Control Method for Launch Vehicles by Shou Zhou, Hao Yang, Shifeng Zhang, Xibin Bai, Feng Wang

“…A specific launch vehicle is taken as the research subject, and its dynamic model is established. …”
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Development and Practice of Cloud Collaborative Platform for Downhole Measurement Tools by Che Yang, Yuan Guangjie, Qian Hongyu, Du Weiqiang, Wang Chenlong, Ding Jiping

“…Moreover， to solve the problem of low far-field ranging accuracy， multiple magnetic steering data mining algorithms such as support vector machine （SVM）， decision tree （DT）， multilayer perceptron （MLP） and convolutional neural network （CNN） were built and compared， indicating that the robustness and generalization of the multilayer perceptron algorithm is the best. …”
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Determination of Insulation Fault Locations in a Heterogeneous Power Supply Line by A. M. Oleynikov, L. N. Kanov

“…The purpose of the study was to develop an algorithm for the implementation of an accurate determination of the location and nature of insulation fault on the power supply line, which foundation is a mathematical model of the electrical network mode based on the theory of electrical circuits with distributed parameters. …”
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An AIoT-Based Automated Farming Irrigation System for Farmers in Limpopo Province by Relebogile Langa, Michael Nthabiseng Moeti, Thabiso Maubane

“…A machine learning precipitation prediction algorithm optimizes water usage. The paper also describes a system with multiple sensors that detect soil parameters, and automatically irrigate land based on soil moisture by switching the motor on/off. …”
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