The computation of parameters of induction current sensor based on Rogowski coil by O. A. Glukhov, D. O. Glukhov

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Research on Adaptive Discriminating Method of Brain–Computer Interface for Motor Imagination by Jifeng Gong, Huitong Liu, Fang Duan, Yan Che, Zheng Yan

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Computed tomography-based conventional imaging features and texture analysis characteristics of chemotherapy drug-related acute pancreatitis by Quanlin Li, Chuanmei Liu, Zijian Fan, Hong Zhang, Zhiguo Kai

“…This study aimed to describe plain computed tomography (CT)- and contrast-enhanced computed tomography (CECT)-based conventional imaging features and texture analysis characteristics of CDRAP.MethodsA total of 62 patients with initial clinical and/or biochemical evidence of pancreatitis and 34 patients with normal pancreatic manifestations who underwent CT during chemotherapy were retrospectively included. …”
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Effect of block geometry on the estimation of low volumetric block proportions: A tunneling-based computer bimrock model by Zixin Zhao, Guolong Zhu, Xingliang Peng, Fawu Wang

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Improved bio-inspired with machine learning computing approach for thyroid prediction by Divya Kesavulu, Kannadasan R

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A KWS System for Edge-Computing Applications with Analog-Based Feature Extraction and Learned Step Size Quantized Classifier by Yukai Shen, Binyi Wu, Dietmar Straeussnigg, Eric Gutierrez

“…Edge-computing applications demand ultra-low-power architectures for both feature extraction and classification tasks. …”
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XGBoost Algorithm for Cervical Cancer Risk Prediction: Multi-dimensional Feature Analysis by Sudi Suryadi, Masrizal

“…This study is situated at the intersection of clinical oncology and computational intelligence, exploring the potential of gradient-boosting algorithms to overcome the limitations of conventional screening methodologies. …”
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GINGIVAL TISSUE MICROCIRCULATION FEATURES IN PATIENTS WITH INCISOR CROWDING by D. A. Domenyuk, A. G. Karslieva, E. G. Vedeshina, S. V. Dmitrienko, A. S. Kochkonyan, Yu. S. Arutyunyan

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Features of cardiac remodeling in sclerodermic lung lesions by A. N. Kharkova, A. V. Sineglazova

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The Potential of One-Sided Traditional Windcatchers for Outdoor Use as a Sustainable Urban Feature by Hossein Ghandi, Mattia Federico Leone

“…This paper investigates a new integrated design for a one-sided windcatcher, which captures wind through a single inlet by combining traditional principles with modern sustainable features, such as green façade, to enhance outdoor urban space. …”
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Differentiating Emphysema From Emphysema-Dominated COPD Patients with CT Imaging Feature and Machine Learning by Guo W, Li M, Li Y, Fan X, Wu L

“…These findings may contribute to improved diagnosis, phenotyping, and management strategies in emphysema and COPD.Keywords: quantitative computed tomography, emphysema, emphysema-dominant COPD, chronic obstructive pulmonary disease, computed tomography…”
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Detecting Lameness in Dairy Cows Based on Gait Feature Mapping and Attention Mechanisms by Xi Kang, Junjie Liang, Qian Li, Gang Liu

“…Early detection enables prompt intervention, enhancing both animal health and farm efficiency. Current computer vision approaches often rely on isolated lameness feature quantification, disregarding critical interdependencies among gait parameters. …”
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Clinical and laboratory features of COVID-19 in young people by A. Kh. Nurpeisova, L. K. Alimova, Zh. B. Ponezheva, I. V. Mannanova, K. N. Popova, A. I. Bikmukhametova, D. N. Protsenko, I. N. Tyurin, A. M. Domkina

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Bridging the Gap Between Computational Efficiency and Segmentation Fidelity in Object-Based Image Analysis by Fernanda Pereira Leite Aguiar, Irenilza de Alencar Nääs, Marcelo Tsuguio Okano

“…This study introduces a novel preprocessing algorithm to bridge the gap between computational efficiency and segmentation fidelity in object-based image analysis for machine learning applications. …”
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Developing Innovative Feature Extraction Techniques from the Emotion Recognition Field on Motor Imagery Using Brain–Computer Interface EEG Signals by Amr F. Mohamed, Vacius Jusas

“…Statistical, wavelet analysis, Hjorth parameters, higher-order spectra, fractal dimensions (Katz, Higuchi, and Petrosian), and a five-dimensional combination of all five feature sets were implemented. …”
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Improving the Performance of Electrotactile Brain–Computer Interface Using Machine Learning Methods on Multi-Channel Features of Somatosensory Event-Related Potentials by Marija Novičić, Olivera Djordjević, Vera Miler-Jerković, Ljubica Konstantinović, Andrej M. Savić

“…Exploring and optimizing the parameters of sERP elicitation, as well as feature extraction and classification methods, is crucial for addressing the accuracy versus speed trade-off in various assistive BCI applications where the tactile modality may have added value.…”
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Parallel Cross-section Recognition of Geometrical Features for Selected Machine Parts by Marcin Gołaszewski, Marcin Królikowski, Bartosz Powałka

“…Initial identification parameters are selected with respect to defined criteria, e.g. identification accuracy, computing power and scanning accuracy. …”
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Efficient Multi-Task Training with Adaptive Feature Alignment for Universal Image Segmentation by Yipeng Qu, Joohee Kim

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Computational complexity when constructing rational plans for program execution in a given field of parallel computers by V. M. Bakanov

“…Features of the internal properties of the algorithms that affect the efficiency of SPF transformations were identified during the course of computational experiments. …”
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THE AGE-RELATED FEATURES OF ALVEOLAR JAWS BONE MINERAL DENSITY IN GROWING CHILDREN by V.F. Makeev, A-S.A. Krupnyk

“…Not only jaw shape, linear dimensions and bone tissue amount can be determined by 3D method but biological parameters such as bone density. The aim of the present research was to study the age-related features of alveolar jaws bone mineral density in growing children using computer tomography. …”
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