Design and Experimental Study of Dual-spool Incremental High-water-based Digital Valve by He ZHANG, Jiyun ZHAO, Yunfei WANG, Ge WANG

“…A simulation of the electro-mechanical converter is conducted using sliding mode control, and the simulation results indicate that the sliding mode control algorithm stably follows the reference signal in 0.08 s, performing significantly better in response performance than PID. …”
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Online Modelling and Calculation for Operating Temperature of Silicon-Based PV Modules Based on BP-ANN by Honglu Zhu, Weiwei Lian, Lingxing Lu, Peter Kamunyu, Cao Yu, Songyuan Dai, Yang Hu

“…The proposed method is effective to calculate the operating temperature of silicon-based solar modules online, which is a low-cost soft-sensing solution.…”
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Analisis Sentimen Pada Sosial Media Twitter Terhadap Kualitas Jaringan Internet Telkomsel Menggunakan Ensemble K-Nearest Neighbour -Support Vector Machine by Muchammad Farchan Fachrudin, Cucun Very Angkoso, Doni Abdul Fatah

“…This sentiment analysis research uses machine learning algorithm models, namely K-Nearest Neighbor, Support Vector Machine, and KNN-SVM Ensemble which are majority vote-based and average-based. …”
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A Two-Point Association Tracking System Incorporated With YOLOv11 for Real-Time Visual Tracking of Laparoscopic Surgical Instruments by Nyi Nyi Myo, Apiwat Boonkong, Kovit Khampitak, Daranee Hormdee

“…In this context, advancements in deep learning, particularly through detection models and modern tracking algorithms, have opened new avenues for addressing the challenges posed by real-time laparoscopic instrument tracking. …”
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Flexible self-rectifying synapse array for energy-efficient edge multiplication in electrocardiogram diagnosis by Younghyun Lee, Hakseung Rhee, Geunyoung Kim, Woon Hyung Cheong, Do Hoon Kim, Hanchan Song, Sooyeon Narie Kay, Jongwon Lee, Kyung Min Kim

“…Then, we design a neural network training algorithm through hardware-aware approaches and conduct real-time edge ECG diagnosis. …”
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CLINICAL PRESENTATION FEATURES IN THE ORAL CAVITY PATIENTS WITH GASTROESOPHAGEAL REFLUX DISEASE by O.P. Kerzyuk, N.M. Rozhko, A.V. Kindrat

“…The prospect of our further research will be to develop an algorithm for diagnosis and treatment of oral GERD manifestations and secondary dental disease prevention. …”
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Real-time prediction of HFNC treatment failure in acute hypoxemic respiratory failure using machine learning by Xiaojie Li, Chunliang Jiang, Qingyan Xie, Huiquan Wang, Jiameng Xu, Guanjun Liu, Panpan Chang, Guang Zhang

“…Our study enrolled 427 patients with 498 treatment records. The soft-voting ensemble algorithm achieved an optimal predictive performance with an AUC of 0.839 (95% CI 0.786–0.889) for the all-features model, while logistic regression using common features achieved an AUC of 0.767 (95% CI 0.704–0.825), outperforming ROX and mROX indices. …”
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Organizational problems and possible ways of its resolve when providing emergency surgical care to patients with comorbid status in a highly specialized medical institution by I. M. Khokhlova, V. B. Kozhevnikov, K. N. Movchan, B. S. Artyushin, E. V. Bartashevich, A. V. Zharkov, E. V. Zheleznyi

“…Petersburg were studied, in which the main activity of the staff is the examination of patients with surgical infection of soft tissues (particularly, the critical limb ischemia).Results. …”
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A low-cost autonomous portable poultry egg freshness machine using majority voting-based ensemble machine learning classifiers by Jirayut Hansot, Wongsakorn Wongsaroj, Thaksin Sangsuwan, Natee Thong-un

“…The proposed Hard voting model improved accuracy and robustness of final prediction compared to a Soft voting classifier. The proposed model obtained an accuracy of 100 % when compared with the typical Yolk index method. …”
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All-printed chip-less wearable neuromorphic system for multimodal physicochemical health monitoring by Yongsuk Choi, Peng Jin, Sanghyun Lee, Yu Song, Roland Yingjie Tay, Gwangmook Kim, Jounghyun Yoo, Hong Han, Jeonghee Yeom, Jeong Ho Cho, Dong-Hwan Kim, Wei Gao

“…By leveraging scalable printing technology, we fabricated artificial synapses that function as both sensors and analog processing units, integrating them alongside printed synaptic nodes into a compact wearable system embedded with a medical diagnostic algorithm for multimodal data processing and decision making. …”
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Novel nocturnal insect pest monitoring for sustainable crop protection using ensemble augmented deep learning classification by Hui Zhao, Bo Fu, Fernando Auat Cheein, Matthew Butler, W. Edwin Harris, Tom W. Pope, Joe M. Roberts

“…This may be addressed by developing an identification algorithm for adult weevils. Here we present results that show improved machine learning models can identify adult vine weevils under laboratory and semi-field conditions. …”
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Preventing Overturning of Mobile Cranes Using an Electrical Resistivity Measurement System by Hongseok Jang, Yeonho Lee, Hongseok Lee, Youngtaek Cha, Sungjoon Choi, Jongkyu Park

“…Furthermore, it uses a ground stability determination algorithm that qualitatively assesses soft ground conditions, which are the primary cause of ground subsidence. …”
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Real-time lithology identification while drilling based on drilling parameters analysis with machine learning by Kun Li, Ting Ren, Ningping Yao, Jon Roberts, Haitao Song, Zhongbei Li, Chunmiao Liang

“…Furthermore, an ensemble learning lithology identification model based on soft voting was constructed, integrating SVM, decision tree, KNN, and neural network classifiers. …”
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Organisation of physical education at the university based on students’ constitutional types and health groups by M. M. Kolokoltsev, S. S. Iermakov, N. V. Tretyakova

“…Methods of the statistical analysis with the application of StatSoft Statistica 6.1 and Microsoft Excel programmes were used to process the obtained results in the process of diagnostics. …”
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Feature Extraction and Attribute Recognition of Aerosol Particles from In Situ Light-Scattering Measurements Based on EMD-ICA Combined LSTM Model by Heng Zhao, Yanyan Zhang, Dengxin Hua, Jiamin Fang, Jie Zhang, Zewen Yang

“…The extracted scattering coefficient matrix is input into the LSTM for iterative training. Finally, the SoftMax layer’s probability classification method is applied to the identification of particle attributes. …”
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Peer-to-peer energy trading with energy trading consistency in interconnected multi-energy microgrids: A multi-agent deep reinforcement learning approach by Yang Cui, Yang Xu, Yijian Wang, Yuting Zhao, Han Zhu, Dingran Cheng

“…The complex decision-making problem with significantly large high-dimensional data is formulated as a partially observable Markov decision process and solved using the proposed multi-agent deep reinforcement learning approach combining the centralized training decentralized execution framework and soft actor-critic algorithm. Finally, the effectiveness of the proposed method was verified through a case simulation. …”
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Computed tomography in terms of thoracic outlet syndrome diagnosis by L. A. Titova, A. A. Gridsay, E. M. Tolstykh, S. I. Marks, N. V. Ischenko, M. V. Anisimov, A. Yu. Goncharova, I. A. Baranov, L. A. Haetskaya

“…Thoracic outlet syndrome (TOS) comprises a group of clinical syndromes caused by congenital or acquired compression of the brachial plexus or subclavian vessels during their passage through the superior thoracic aperture.Clinical manifestations vary by TOS type: neurogenic form (arm pain/paresthesia, hand muscle weakness, thenar atrophy), venous form (limb edema/cyanosis, visible collaterals, subclavian vein thrombosis), arterial form (arm ischemia, distal emboli, subclavian artery aneurysms).The modern diagnostic algorithm includes physical examination (Edson test, Wright test, hyperabduction test) and instrumental diagnostic methods. …”
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A novel and sturdy MPPT architecture for grid-tied EV charging stations using Ali Baba and forty thieves optimization by Debabrata Mazumdar, Hassan Abdurrahman Shuaibu, Chiranjit Sain, Taha Selim Ustun

“…The power output of the proposed approach is compared with the two well-known soft computing based MPPT approaches, i.e., Cuckoo Search Algorithm and Grey Wolf Optimization. …”
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Smart Prussian Blue Analog Decorated with Zinc Oxide Nanohybrid: Fluorescent Sensing and Sustainability of Sunset Yellow in Food and Environment by Hany A. Batakoushy, Amr K. A. Bass, Hassanien Gomaa, Sami El Deeb, Adel Ehab Ibrahim

“…Real sample analysis in the food industry, including samples from real food, soft drinks, and sun cream, was made possible by the detection of tiny amounts of SY. …”
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Optimized CNN-Bi-LSTM–Based BCI System for Imagined Speech Recognition Using FOA-DWT by Meenakshi Bisla, Radhey Shyam Anand

“…EEG signal is enhanced using firefly optimization algorithm (FOA)–based optimized soft thresholding of high-frequency detail components obtained by DWT decomposition. …”
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