An Intelligent Weed Recognition Method Based on Optical Patrol Image by Guoliang YUE, Yanqiao LU, Hao CHANG, Cuiying SUN

“…In this paper, a method for intelligent recognition of weeds is proposed for power patrol inspection based on optical patrol images. Based on the feature of weeds in the optical images, and combined with the convolutional neural network method, the problem of weed recognition near the power equipment in optical patrol images is solved. …”
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GANs with Multiple Constraints for Image Translation by Yan Gan, Junxin Gong, Mao Ye, Yang Qian, Kedi Liu, Su Zhang

“…Unpaired image translation is a challenging problem in computer vision, while existing generative adversarial networks (GANs) models mainly use the adversarial loss and other constraints to model. …”
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ROLE OF HIGHER EDUCATION IN THE FORMATION OF NATIONAL INNOVATION SYSTEM by Liliya D. Kiyanova, Inna L. Litvinenko

“…The article defines the features of modern Russian national innovation system, analyzes the problems that prevent the active participation of higher education institutions to improve the innovative potential of the country. …”
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The Trimming-Based Design Method for PWR Coolant Flow Distribution Device by Qian Hui, Wenqiang Li, Yan Li, Zhonghui Wang, Hao Li, Xin Guo

“…However, those structures will greatly increase the complexity and maintenance cost of the system. To solve this problem, a trimming-based design method is proposed in this paper for the complex system and applies it to the design process of the PWR coolant flow distribution device. …”
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Model-based Bayesian Fusion-Net for infrared and visible image fusion by Wang Li, Kuang Yafang, Cai Ziyi, Chu Ning, Mohammad-Djafari Ali

“…By formulating image fusion as an inverse problem within a hierarchical Bayesian framework, our method leverages physical priors and data-driven techniques to enhance model interpretability and transferability. …”
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Fractal dimension approach on climate analysis of India by M. Meenakshi, A. Gowrisankar, Jinde Cao, Pankajam Natarajan

“…Climate change is an inevitable and important problem faced worldwide. Around the world, many researchers are doing research work on climate change with different factors. …”
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Extremely compact sources (ECS): a new potential field filtering method by Marco Maiolino, Giovanni Florio, Maurizio Fedi

“…The selected solutions, which we call “Extremely Compact Sources” (ECS) form a sort of atomized model, which still satisfies the non-unique inverse problem of gravity and magnetic fields. The ECS model is not only characterized by sparsity, but also by large values of the physical property (density or magnetic susceptibility). …”
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Self-attention-based graph transformation learning for anomaly detection in multivariate time series by Qiushi Wang, Yueming Zhu, Zhicheng Sun, Dong Li, Yunbin Ma

“…In this paper, we propose a self-attention based graph transformation learning (AT-GTL) method to solve this problem. AT-GTL uses a global self-attention graph pooling (GATP) module to aggregate all node features to obtain global features. …”
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Aviation Fuel Pump Fault Diagnosis Based on Conditional Variational Self-Encoder Adaptive Synthetic Less Data Enhancement by Tiejun Liu, Yaoping Zhang, Xiaojing Yin, Weidong He

“…The CVAE generates semantically consistent and feature-diverse minority-class samples under class-conditional constraints, thereby enhancing the overall representational capacity of the dataset. …”
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AlexCapsNet: An Integrated Architecture for Image Classification With Background Noise by Muyi Bao, Nanlin Jin, Ming Xu

“…CapsNet has demonstrated the state-of-the-art performance in simple datasets such as MNIST, but its performance degrades in more complex datasets. To solve this problem, AlexCapsNet architecture is proposed in this paper, in which the classic classification model AlexNet is used as the feature extraction layer. …”
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Cervical Cell Nuclear Segmentation Method Based on Optimized MSER Algorithm by HE Yong jun, ZHANG Xue yuan, SHAO Hui li, DING Bo

“…The parameter segmentation method is used to perform fine segmentation. Finally, the feature extraction technique is used to extract various features from the nuclear image, and the artificial neural network classifier is trained to judge whether the result obtained after segmentation is the nucleus. …”
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Point set registration-based image stitching in unmanned aerial vehicle transmission line inspection by Xiyu Wang, Xin Hu, Diyuan Xiang, Jian Xiao, Hongliang Cheng

“…Abstract To address the limitations of narrow field of view and insufficient target information in single frame images obtained by airborne cameras, this paper proposed a novel image stitching method using an improved robust point set registration algorithm based on neighborhood and local structural features(PR-NLS). The proposed method combines stable local and global constraints between two corresponding point sets, weighted spatial distance is introduced to obtain the local neighborhood of the motion vector to reduce the complexity of the point set, and combines weighted spatial distance with feature descriptors to improve the model fit. …”
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Risk factors of hospital mortality in patients with TB/HIV co-infection confined in the penitentiary system by M. E. Vostroknutov, E. V. Dyuzhevа, A. V. Kuznetsovа, O. V. Senko

“…The problem of tuberculosis with concurrent HIV infection is now becoming increasingly important. …”
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Synthesis of organ pipe sound based on simplified physical models by A. CZYŻEWSKI, B. KOSTEK, S. ZIELIŃSKI

“…Problems related to the implementation of a physical model based synthesis of an organ pipe sound are discussed. …”
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Automatic melanoma and non-melanoma skin cancer diagnosis using advanced adaptive fine-tuned convolution neural networks by Muhammad Amir Khan, Tehseen Mazhar, Muhammad Danish Ali, Umar Farooq Khattak, Tariq Shahzad, Mamoon M. Saeed, Habib Hamam

“…This unsupervised technique enables the mining of discriminative features from the skin cancer images, effectively mitigating overfitting concerns and letting the model adjust structural features of skin cancer images, facilitating effective detection of skin cancer features. …”
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ImageNomer: Description of a functional connectivity and omics analysis tool and case study identifying a race confound by Anton Orlichenko, Grant Daly, Ziyu Zhou, Anqi Liu, Hui Shen, Hong-Wen Deng, Yu-Ping Wang

“…This exacerbates two problems found in these types of data: demographic confounds and quality control in the face of high dimensionality of features. …”
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Honeypot contract detection of blockchain based on deep learning by Hongxia ZHANG, Qi WANG, Dengyue WANG, Ben WANG

“…Aiming at the problems of low accuracy of current detection methods and poor generalization of model, a honeypot contract detection method based on KOLSTM deep learning model was proposed.Firstly, by analyzing the characteristics of honeypot contract, the concept of key opcode was proposed, and a keyword extraction method which could be used to select the key opcode in smart contract was designed.Secondly, by adding the key opcode weight mechanism to the traditional LSTM model, a KOLSTM model which could simultaneously capture the sequence features and key opcode features hidden in the honeypot contract was constructed.Finally, the experimental results show that the model had a high recognition accuracy.Compared with the existing methods, the F-score is improved by 2.39% and 19.54% respectively in the two classification and multi-classification detection scenes.…”
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Physical development of children of the city Dnipro, patients with cystic fibrosis. by N. N. Kramarenko, S. H. Ivanus

“…36 children with cystic fibrosis are inspected. Certain modern problems of children’s cystic fibrosis and questions related with warning and slowing down unfavorable consequences of illness in the future are determined. …”
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The "Tender Technicians" of Nielsen Norman Group Videos by Jaci Wilkinson

“…Nielsen Norman Group (NN/g) YouTube content predominantly features young, white or white-presenting, normatively attractive women. …”
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NATURE USAGE OF HYDRO RESOURCES IN THE REPUBLIC OF CRIMEA by Inessa Penkova, Lyudmila Akinina

“…The material analyzes the financing of water use in the territory of the Crimea with an emphasis on reproductive and recreational features of the Crimean hydro resources. The study has identiied the main problems of nature management sustainability in the ield of reproductive and recreational water resources, which has allowed to formulate the main directions for solution ofproblems found.…”
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