Hepatopulmonary syndrome by V. T. Ivashkin, M. A. Morozova, M. V. Mayevskaya

“…The purpose of this paper is to analyze the data available in the literature on the problems associated with the identification of the hepatopulmonary syndrome (HPS), its diagnosis, pathogenesis, clinical features, and possible treatment options. …”
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THE EDUCATIONAL PROCESS ORGANIZATION IN KNRTUKAI: TRADITIONS AND NEW APPROACHES by Nikolay N. Malivanov, Dmitriy P. Danilaev

“…The article focuses on the features of the educational process organization in KNRTUBKAI. …”
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Results of combination treatment using docetaxel in an adjuvant chemotherapy regimen for resectable breast cancer by L. V. Bolotina, T. I. Deshkina

“…Despite the advances made in the treatment of this pathology, there is still a variety of unsolved problems, including those associated with disease progression after radical sur- gical interventions. …”
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THE EVALUATION OF INVESTMENT PROJECTS FOR IMPLEMENTING CLOUD TECHNOLOGY by Alexander Sergeevich Volozhenin

“…The article presents an overview of information on the features, opportunities and prospects of investing in cloud computing in construction. …”
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Mainlobe Jamming Suppression via Joint Polarization-Range-Doppler Processing by Liyuan Wang, Huafeng He, Zhen Li, Buma Xiao, Tao Zhou

“…Subsequently, through Doppler compensation and range processing, we establish a combined feature projection method capable of reliably estimating target polarization from mixed signals containing target echoes, jamming, and noise. …”
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Social Navigation in Warehouse Logistics Based on Artificial Intelligence and RGB-D by Burhan Turgut Ulutürk, Emre Sebat, Hilal Öztemel, Bilal Gürevin

“…Purpose: Ensuring both human safety and transportation efficiency simultaneously during the navigation of autonomous mobile robots (AMRs) in warehouse logistics is a challenging problem due to dynamic environments and diverse obstacles. …”
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LittleFaceNet: A Small-Sized Face Recognition Method Based on RetinaFace and AdaFace by Zhengwei Ren, Xinyu Liu, Jing Xu, Yongsheng Zhang, Ming Fang

“…Retinaface-Resnet is designed for face detection and localization, while adaface is employed to address low-resolution face recognition by using feature norm approximation to estimate image quality and applying an adaptive margin function. …”
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Milling Tool Wear State Recognition by Vibration Signal Using a Stacked Generalization Ensemble Model by Yang Hui, Xuesong Mei, Gedong Jiang, Tao Tao, Changyu Pei, Ziwei Ma

“…In this study, vibration signals collected during the milling process are analyzed through the time domain, frequency domain, and time-frequency domain to extract signal features. The support vector machine recursive feature elimination (SVM-RFE) algorithm is used to select the main features which are most relevant to tool wear states. …”
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Automated Chest X-Ray Diagnosis Report Generation with Cross-Attention Mechanism by Jian Zhao, Wei Yao, Lei Sun, Lijuan Shi, Zhejun Kuang, Changwu Wu, Qiulei Han

“…The convolutional block attention module (CBAM) is adopted to effectively alleviate the data bias problem through a sophisticated feature attention mechanism and improve the model’s ability to recognize abnormal image areas. …”
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Аnonymous Sogita about Abraham and Isaac (5th cent.) by Natalia Golovnina, Elizaveta Dmitrieva

“…In the comments to the sogita, there are collections of interpretations of a particular problem that have developed in all three traditions: Syrian, Byzantine, and Jewish, which makes it possible to clearly understand how the same exegetical methods worked to justify solutions that differ from each other.…”
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Filter Learning-Based Partial Least Squares Regression and Its Application in Infrared Spectral Analysis by Yi Mou, Long Zhou, Weizhen Chen, Jianguo Liu, Teng Li

“…This modification enables FPLS to dynamically adapt to the characteristics of the data, thereby enhancing its feature extraction and noise suppression capabilities. …”
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An integrated stacked convolutional neural network and the levy flight-based grasshopper optimization algorithm for predicting heart disease by Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, Syed Kumayl Raza Moosavi, Majad Mansoor, Filippo Sanfilippo

“…The SCNN provides robust feature extraction, while LFGOA enhances the model by optimizing hyperparameters, improving classification accuracy, and reducing overfitting. …”
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Pseudo-class distribution guided multi-view unsupervised domain adaptation for hyperspectral image classification by Jingpeng Gao, Xiangyu Ji, Geng Chen, Yuhang Huang, Fang Ye

“…We transform the label correction into a zero–one programming problem and optimize it with the estimated pseudo-class distribution as a constraint. …”
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A swin transformer and CNN fusion framework for accurate Parkinson disease classification in MRI by Sayyed Shahid Hussain, Pir Masoom Shah, Hussain Dawood, Xu Degang, Ahmad Alshamayleh, Muhammad Adnan Khan, Taher M. Ghazal

“…Additionally, the varying magnitude of MR data poses a challenge for ViT, potentially leading to the gradient vanishing problem. To address these limitations, this paper proposed a novel framework that combines the Swin-Transformer and CNN to capture both local and global features effectively. …”
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Research on short-term traffic flow prediction based on the PCC-IGA-LSTM model by Junxi Zhang, Shiru Qu, Yang Bi, Lijing Ma

“…To effectively address the spatial–temporal feature mining problem in short-term traffic flow prediction for complex road networks, a new method that combined the Pearson correlation coefficient (PCC) and improved genetic algorithm to optimize the long short-term memory model (IGA-LSTM) was constructed. …”
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SGW-YOLOv8n: An Improved YOLOv8n-Based Model for Apple Detection and Segmentation in Complex Orchard Environments by Tao Wu, Zhonghua Miao, Wenlei Huang, Wenkai Han, Zhengwei Guo, Tao Li

“…This study addresses the problem of detecting occluded apples in complex unstructured environments in orchards and proposes an apple detection and segmentation model based on improved YOLOv8n-SGW-YOLOv8n. …”
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A Projective-Geometry-Aware Network for 3D Vertebra Localization in Calibrated Biplanar X-Ray Images by Kangqing Ye, Wenyuan Sun, Rong Tao, Guoyan Zheng

“…The network design of ProVLNet features three components: a Siamese 2D feature extractor to extract local appearance features from the biplanar X-ray images, a spatial alignment fusion module to incorporate the projective geometry in fusing the extracted 2D features in 3D space, and a 3D landmark regression module to regress the 3D coordinates of the vertebrae from the 3D fused features. …”
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An Improved Physics-Informed Neural Network Algorithm for Predicting the Phreatic Line of Seepage by Yunpeng Gao, Li Qian, Tianzhi Yao, Zuguo Mo, Jianhai Zhang, Ru Zhang, Enlong Liu, Yonghong Li

“…A typical geotechnical problem concerning seepage phreatic line determination in a rectangular dam is analyzed to demonstrate the efficiency of the improved method. …”
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Rolling Bearing Fault Diagnosis Method Based on Improved Variational Mode Decomposition and Information Entropy by Wen FAN, Lian GE, Xiaoting XIAO, Fangji GAN, Xin LAI, Hongxia DENG, Qi HUANG

“…However, VMD has the problem of parameter selection, which directly affects the performance of VMD processing, and causes mode aliasing. …”
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Hardware Module Design and Software Implementation of Multisensor Fire Detection and Notification System Using Fuzzy Logic and Convolutional Neural Networks (CNNs) by Robert A. Sowah, Kwaku Apeadu, Francis Gatsi, Kwame O. Ampadu, Baffour S. Mensah

“…Convolutional Neural Networks are mainstream methods of deep learning due to their ability to perform feature extraction and classification in the same architecture. …”
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