THE MAIN ASPECTS OF DIAGNOSIS AND PREVENTION OF OPISTHORCHIASIS by Татьяна Евгеньевна Помыткина, Ольга Ивановна Пивовар

“…The aim of the research – to identify the features of clinical manifestations and laboratory diagnostics of chronic opisthorchiasis in adults and children. …”
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Robotic Mapping and Localization with Real-Time Dense Stereo on Reconfigurable Hardware by John Kalomiros, John Lygouras

“…A reconfigurable architecture for dense stereo is presented as an observation framework for a real-time implementation of the simultaneous localization and mapping problem in robotics. The reconfigurable sensor detects point features from stereo image pairs to use at the measurement update stage of the procedure. …”
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Method for assessing rodent infestation in plateau based on SegFormer. by Xiangjie Huang, Guoying Zhang, Chunmei Li, Yaosheng Han, Qing Dong, Hao Wang

“…Meanwhile, integrating the multi-kernel convolution feed-forward network (MCFN) into the decoder optimizes the problem of detail recovery and fusion of multi-scale features. …”
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Constructing segmentation method for wheat powdery mildew using deep learning by Hecang Zang, Hecang Zang, Congsheng Wang, Qing Zhao, Qing Zhao, Jie Zhang, Jie Zhang, Junmei Wang, Guoqing Zheng, Guoqing Zheng, Guoqiang Li, Guoqiang Li

“…The method combines ResNet and SENet to solve the abovementioned problem. Firstly, the attention mechanism module SENet is introduced into Swin-Unet, which can effectively capture global and local features in images and extract more important information about powdery mildew. …”
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SAR 3D Reconstruction Based on Multi-Prior Collaboration by Yangyang Wang, Zhenxiao Zhou, Zhiming He, Xu Zhan, Jiapan Yu, Xingcheng Han, Xiaoling Zhang, Zhiliang Yang, Jianping An

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A novel dynamic machine learning-based explainable fusion monitoring: application to industrial and chemical processes by Husnain Ali, Rizwan Safdar, Yuanqiang Zhou, Yuan Yao, Le Yao, Zheng Zhang, Weilong Ding, Furong Gao

“…The methodology aims to detect faults, identify their key causes and feature variables, and analyze the root path of fault propagation with the time and magnitude of one cause variable to another impact. …”
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Otimização conjunta de gráficos de X-barra - S ou X-barra - R: um procedimento de fácil implementação Joint optimization of X-bar - S or X-bar - R charts: an easily implemented pro... by Eugenio K. Epprecht, Adriana Leiras

“…An example shows that the procedure is easy to apply. All these features increase its applicability for a wide range of typical practical situations.…”
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Multitarget Tracking of Pedestrians in Video Sequences Based on Particle Filters by Hui Li, Shengwu Xiong, Pengfei Duan, Xiangzhen Kong

“…In order to improve the efficiency and accuracy of the detection, the algorithm firstly obtains target regions in training frames by combining the methods of background subtraction and Histogram of Oriented Gradient (HOG) and then establishes discriminative appearance model by generating patches and constructing codebooks using superpixel and Local Binary Pattern (LBP) features in those target regions. …”
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Large-Scale Analysis of Auditory Segregation Behavior Crowdsourced via a Smartphone App. by Sundeep Teki, Sukhbinder Kumar, Timothy D Griffiths

“…The human auditory system is adept at detecting sound sources of interest from a complex mixture of several other simultaneous sounds. …”
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Research on fault localization method of valve area in converter station based on metric learning and knowledge reasoning by WEI Yun, LI Xianwei, ZHANG Yanlong, CAO Hui, XU Dan, QIU Junhong

“…This paper proposes a fault location method for the valve area of a converter station based on metric learning and knowledge reasoning, which addresses the problems of low efficiency, long time consumption, and heavy dependence on the level of operating personnel in manual fault location. …”
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Enhancing knee osteoarthritis diagnosis with DMS: a novel dense multi-scale convolutional neural network approach by Di Zhang, Yuting Dong, Yao Xu, Junhui Qian, Miaoyu Ye, Qiang Yuan, Jian Luo

“…Dense connections also facilitate deeper network architecture and mitigate gradient vanishing problems. We compared our model with a standard baseline model and validated it using an unseen-data test set. …”
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AI-driven thermography-based fault diagnosis in single-phase induction motor by Muhammad Atif, Shoaib Azmat, Faisal Khan, Fahad R. Albogamy, Adam Khan

“…Many fault diagnosis methods have been proposed to detect bearing faults based on contact sensors, but they have accessibility problems. …”
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Real‐Time Monitoring of Ionosphere VTEC Using Multi‐GNSS Carrier‐Phase Observations and B‐Splines by Eren Erdogan, Michael Schmidt, Andreas Goss, Barbara Görres, Florian Seitz

“…Thus, matrix operations for large‐scale problems can be performed fast using sparse matrix operations, as is done in this study. …”
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Comparative characteristics of pneumonia caused by <i>Mycoplasma pneumoniae</i> in children by S. L. Bevza, O. V. Molochkova, O. B. Kovalev, O. V. Shamsheva, A. A. Sakharova, A. A. Korsunsky, M. V. Parshina, K. G. Burkova, E. A. Labuzova, N. V. Sokolova

“…The urgency of the problem of community-acquired pneumonia in children is due to the high incidence rate. …”
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Knowledge Graph Representation Fusion Framework for Fine-Grained Object Recognition in Smart Cities by Yang He, Ling Tian, Lizong Zhang, Xi Zeng

“…Autonomous object detection powered by cutting-edge artificial intelligent techniques has been an essential component for sustaining complex smart city systems. …”
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Counterfactual Thinking in Tourette’s Syndrome: A Study Using Three Measures by Stefano Zago, Adriana Delli Ponti, Silvia Mastroianni, Federica Solca, Emanuele Tomasini, Barbara Poletti, Silvia Inglese, Giuseppe Sartori, Mauro Porta

“…It is a pervasive cognitive feature in everyday life and it is closely related to decision-making, planning, problem-solving, and experience-driven learning—cognitive processes that involve wide neuronal networks in which prefrontal lobes play a fundamental role. …”
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Enhancing dysarthria severity classification: efficient audio based deep learning models by Varsha J Varma, Aniruddha Jana, Arpan Kumar Samal, Aurobindo S, Rani Chinnappa Naidu, Somaya Al-Maadeed, Moutaz Saleh, Rajesh Kumar M, Prakash Ramachandran, Zachariah C Alex, Rajeev Khoodeeram

“…This paper presents a deep learning-based method based on TORGO dataset to overcome these challenges. Moreover, the problem statement focuses on the difficulty of exactly spotting dysarthria and assessing its degree of severity using traditional methods, which usually lack precision and efficiency. …”
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Token-Wise Asymmetric Contrastive Learning in Countering Unknown Attacks for Face Anti-Spoofing by Jimin Min, Yunho Jeon, Yonghyun Jeong, Youngjoon Yoo, Haneol Jang

“…The key idea to resolve the problem is to learn a feature space where live face features are densely distributed, whereas spoof face features are more dispersed. …”
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The diagnostic and predictive potential of lncRNA CASC2 targeting miR-155 in systemic lupus erythematosus patients with nephritis complication by Nada R. Mohamed, Abeer l. Abd El-Fattah, Olfat Shaker, Ghadir A Sayed

“…Abstract Lupus nephritis (LN) is a serious problem that results from systemic lupus erythematosus (SLE) complications. …”
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Modern View on the Dilated Cardiomyopathy by Yuzych I.

“…The content analysis, method of system and comparative analysis, the bibliosemantic method of studying the actual research in relation to the problem of DCM was used. Results. Clinical feature of DCM – increasing heart failure severity refractory to the treatment. …”
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