ACTUAL PROBLEMATICS IN STUDIES OF CONTEMPORARY CHINESE LITERATURE by Vladimir V. Seligey

“…The aim of the present study is to highlight the current trends, approaches and concepts of comparative study of modern Chinese literature, as well as to determine the outlines of modern Chinese literature as an object of comparative research in the context of the problem of the synthesis of “his” and “alien” in poetry and semantics of works of contemporary Chinese writers. …”
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Global analysis of typographical elements in logo design Home Marketing Centers (Malls) by sanad Fouad Muhammad

“… The logos that are designed for specific purposes, such as the design logos of malls, bear typographical elements that represent pictorial symbols designed to express the distinctive feature of a product, company, service or entity in order to benefit in the process of distinguishing this mall from others and giving it an identity to describe the behavioral features of the nature of the mall and the level of services provided to the consumer. …”
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Joint Image Deblurring and Matching with Blurred Invariant-Based Sparse Representation Prior by Yuanjie Shao, Nong Sang, Juncai Peng, Changxin Gao

“…Moreover, since the dimension of the pseudo-Zernike moment is much lower than the original image feature, our model can also increase the computational efficiency. …”
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AWGE-ESPCA: An edge sparse PCA model based on adaptive noise elimination regularization and weighted gene network for Hermetia illucens genomic data analysis. by Rui Miao, Hao-Yang Yu, Bing-Jie Zhong, Hong-Xia Sun, Qiang Xia

“…Secondly, to the best of our knowledge, there are no Artificial Intelligence (AI) feature selection models designed specifically for Hermetia illucens genome. …”
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Lightweight remote sensing change detection with progressive multi scale difference aggregation by Yinghua Fu, Haifeng Peng, Tingting Zhao, Yize Li, Jiansheng Peng, Dawei Zhang

“…Deep learning is becoming increasingly popular for change detection tasks in remote sensing due to its significant advantages in deep feature representation and nonlinear problem modeling. …”
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Accuracy Maximization Analysis for Sensory-Perceptual Tasks: Computational Improvements, Filter Robustness, and Coding Advantages for Scaled Additive Noise. by Johannes Burge, Priyank Jaini

“…Finally, we speculate that, if repurposed for the problem of neural systems identification, AMA may be able to overcome a fundamental limitation of standard subunit model estimation. …”
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Experimental studies of the influence of elastic-dissipative parameters of engine mounting units on the dynamic characteristics of the “wing model – elastic pylon – engine” system... by Y. V. Petrov, M. V. Semakova, V. G. Ugreninov

“…A feature of modern heavy transport aircraft is their layout with engines on elastic pylons under the wing, with the fuel tanks located in the wing consoles. …”
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Small Glaciers of the Putorana Plateau under Climate Change by N. V. Kovalenko, V. V. Popovnin, A. S. Gubanov, A. A. Polyhov, Ye. I. Uspenskaya

“…Their regime and morphology have so much common features that separation of these two categories of nival glacial formations from one another is extremely difficult problem. …”
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A practical evaluation of AutoML tools for binary, multiclass, and multilabel classification by Marcelo V. C. Aragão, Augusto G. Afonso, Rafaela C. Ferraz, Rairon G. Ferreira, Sávio G. Leite, Felipe A. P. de Figueiredo, Samuel B. Mafra

“…The wide range of frameworks with distinct features and capabilities complicates this decision, necessitating a systematic evaluation. …”
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Physics-Guided Self-Supervised Learning Full Waveform Inversion with Pretraining on Simultaneous Source by Qiqi Zheng, Meng Li, Bangyu Wu

“…Machine learning-based FWI could plausibly circumvent the long-standing cycle-skipping problem of traditional model-driven methods. The physics-guided self-supervised FWI is appealing in that it avoids having to make tedious efforts in terms of label generation for supervised methods. …”
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Light Field Angular Super-Resolution via Spatial-Angular Correlation Extracted by Deformable Convolutional Network by Daichuan Li, Rui Zhong, Yungang Yang

“…However, existing LFASR methods based on DNNs fail to extract SAC features accurately and completely. Due to the limited receptive field, methods based on regular Convolutional Neural Networks (CNNs) are unable to capture SAC features from distant pixels, leading to incomplete SAC feature extraction. …”
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A Massive Image Recognition Algorithm Based on Attribute Modelling and Knowledge Acquisition by Guohua Li, An Liu, Huajie Shen

“…Then, an efficient deep neural network mapping algorithm is designed and implemented for the microprocessing architecture and software programming framework of this edge processor, and a layout scheme is proposed to place the input feature maps outside the kernel DDR and the reordered convolutional kernel matrices inside the kernel storage body and to design corresponding efficient vectorization algorithms for the multidimensional matrix convolution computation, multidimensional pooling computation, local linear normalization, etc., which exist in the deep convolutional neural network model. …”
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Intelligent deep learning for human activity recognition in individuals with disabilities using sensor based IoT and edge cloud continuum by Mohammed Maray

“…Initially, the IDLTHAR-PDST technique utilizes min-max normalization-based data pre-processing model to optimize sensor data consistency and enhance model performance. For feature subset selection, the enhanced honey badger algorithm (EHBA) model is used to effectively reduce dimensionality while retaining critical activity-related features. …”
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A Hybrid Attention Mechanism and RepGFPN Method for Detecting Wall Cracks in High-Altitude Cleaning Robots by Haiqiao Liu, Lingding Li, Ya Li, Qing Long, Zhuoyu Chen

“…First, the GAM attention mechanism was incorporated into the YOLOV5 backbone network to reduce information and amplify global features to improve the accuracy of feature extraction. …”
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Next-Gen Video Watermarking with Augmented Payload: Integrating KAZE and DWT for Superior Robustness and High Transparency by Himanshu Agarwal, Shweta Agarwal, Farooq Husain, Rajeev Kumar

“…The KAZE algorithm pinpoints a quintet of stable features within the brightness aspect of video frames to act as central embedding sites. …”
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Joint classification and regression with deep multi task learning model using conventional based patch extraction for brain disease diagnosis by Padmapriya K., Ezhumalai Periyathambi

“…Most modern collaborative learning methods require manually created feature representations for MR images. We present an effective iterative method and rigorously show its convergence, as the suggested goal is a non-smooth optimization problem that is challenging to tackle in general. …”
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Qualification of a crime jointly committed with a criminally unliaible person by V. M. Stepashin, I. A. Shekhovtsov

“…The subject. The qualification’s problem of a crime jointly committed by two or more people, only one of whom is criminally liable, is ambiguously resolved. …”
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CDMRNet: multimodal meta-adaptive reasoning network with dynamic causal modeling and co-evolution of quantum states by Shengwei Wang, Keda Chen, Mengduo Yu, Pengjiao Zhao, Hui Duan

“…The innovation of the model is reflected in the design of the following three-stage progressive linkage architecture of dynamic causal discovery-quantum state fusion-meta-adaptive reasoning: (1) causal discovery module based on differentiable directed acyclic graphs (DAGs) is used to dynamically identify causal structures between modes, thus solving the problem of coarse dependency granularity; (2) fusion modules inspired by quantum entanglement utilize controlled phase gates to enhance semantic coherence between modalities in Hilbert space, leading to enhanced environmental robustness; (3) meta-adaptive inference mechanism achieves zero-sample adaptation and enhances multi-scale memory to improve the spatio-temporal feature interaction accuracy of the model. …”
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Methodology of Conducting a Facilitated Discussion at the Sites of Cultural Institutions by Olga A. Staina, Polina V. Malyshenko

“…For municipal museums, the problem of attracting a new audience remains the most urgent. …”
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CALCULATED RESEARCH OF INFLUENCE OF HELICOPTER MAIN ROTORS GEOMETRY ON THE EFFICIENCY IN HOVER MODE BASED ON THE NONLINEAR VORTEX MODEL by Y. M. Ignatkin, P. V. Makeev, A. I. Shomov

“…The problem of the influence of the blade twist and spatial geometric layout of the main rotor on its aerodynamic characteristics in the hover mode for a fixed value of the rotor solidity has been considered in this article. …”
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