Peculiarities of Non-Stationary Pressure Measurement in Real Time by Myroslav Tykhan

“…However, in recent years, despite the growing number of sensors range, it is in high-tech industries that the need for pressure sensors with fundamentally new features and characteristics has increased dramatically. …”
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A Tunnel Surface Diseases Detection Algorithm Based on YOLOv4 by LI Jia, QIU Xinhua, JI Yuwen

“…CSPDarknet-53 is used as the backbone network to extract features effectively, different scale features are integrated through SPP to classify and regress the disease area through YOLO layer, and the detection accuracy is effectively improved by using CIoU to calculate the regression loss. …”
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Kans-Unet Model and Its Application in Image Patch-Shaped Detection by Xingsu Li, Zhong Li, Jianping Huang, Ying Han, Kexin Zhu, Bo Hao, Junjie Song, Yumeng Huo

“…The experimental results show that the KANs-Unet algorithm exhibits better detection performance compared to current mainstream semantic segmentation algorithms in the task of detecting abnormal speckle areas. It solves the problem of long model training time caused by insufficient computing power and provides a new method for the detection and analysis of abnormal features in power spectrum images.…”
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Filosoofilise mõtlemise keelesõltuvusest fenomenoloogilises vaates / Philosophical Thinking and Language: A Phenomenological Approach by Tõnu Viik

“…Then the paper generalises Husserl’s observations with the help of Heidegger and Robert Sokolowski to elaborate certain features of linguistic consciousness as such. This prepares us for drawing conclusions regarding this characteristic feature of philosophical thinking. …”
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Predicting Insemination Outcome in Holstein Dairy Cattle using Deep Learning by Mohammad Alishahi, Mahdi Ravakhah

“…LSTM-based models excel in extracting higher-level features from data due to their deep learning capabilities. …”
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Application of support vector machine system introducing multiple submodels in data mining by Weinan Tang

“…For large-scale data mining problems, a clustering-based kernel matrix inner product filtering method is introduced to decompose the original quadratic programming problem into multiple sub-problems to support parallel training. …”
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Revitalization of Civil Participation of the Population in the Activities of Local Self-Government Bodies by S. S. Ydyrys, D. O. Tubekova, S. A. Nakhipbekova

“…As a result, the main causes of problems of civil activity of the population in Turkestan were identified and the “Solution Tree” method was used to solve the main problems in this region.…”
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Exploring Physics-Informed Neural Networks for the Generalized Nonlinear Sine-Gordon Equation by Alemayehu Tamirie Deresse, Tamirat Temesgen Dufera

“…The nonlinear sine-Gordon equation is a prevalent feature in numerous scientific and engineering problems. …”
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“FUND” LENDING AS AN EFFECTIVE TOOL OF STATE SUPPORT FOR FARMERS by A. V. Tikhonova

“…The article is devoted to the topical problem of the development of agro-industrial complex, in particular, the development of the novelty model of agricultural lending. …”
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Application of High-Resolution Core Curve Construction in Logging Lithology Identification by YOU Ting, ZHU Tianyi, XU Pengye, WANG Shuhua, HE Xing, YU Lijun

“…The results show that the fitted high-resolution core gamma curve can not only improve the accuracy of lithology identification as one of the new features, but also replace the measured core gamma curve features with maintaining a slightly higher or similar lithology identification accuracy in multiple machine learning models. …”
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A Self-Supervised Specific Emitter Identification Method Based on Contrastive Asymmetric Masked Learning by Dong Wang, Yonghui Huang, Tianshu Cui, Yan Zhu

“…To address these issues, this paper proposes a novel contrastive asymmetric masked learning-based SEI (CAML-SEI) method, effectively solving the problem of SEI under scarce labeled samples. The proposed method constructs an asymmetric auto-encoder architecture, comprising an encoder network based on channel squeeze-and-excitation residual blocks to capture radio frequency fingerprint (RFF) features embedded in signals, while employing a lightweight single-layer convolutional decoder for masked signal reconstruction. …”
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Pedestrian Detection in Fisheye Images Based on Improved YOLOv8 Algorithm by ZHU Yumin, SUN Guangling, MIAO Fei

“…The feature information of different scales is extracted through DWConv with different convolution kernels, and the CA and SA modules are combined to enhance the model’s feature expression ability. …”
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Multi-class segmentation of knee MRI based on hybrid attention by Yuhang Xiang, Xinglin Zhang, Tao Meng, Tao Meng, Tao Chen, Tao Chen

“…However, many existing methods are hindered by class imbalance and fail to capture the features of small structures, leading to suboptimal segmentation performance.MethodsThis study applies hybrid attention and multi-scale feature extraction methods to the problem of multi-class segmentation of knee MRI images and innovates the classic U-Net architecture. …”
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Label credibility correction based on cell morphological differences for cervical cells classification by Wenbo Pang, Yue Qiu, Shu Jin, Huiyan Jiang, Yi Ma

“…Firstly, a contrastive learning network is used to extract discriminative features from cell images to obtain more similar intra-class sample features. …”
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Af-CAN: Multimodal Emotion Recognition Method Based on Situational Attention Mechanism by Xue Zhang, Mingjiang Wang, Xiao Zeng, Xuyi Zhuang

“…Af-CAN is meticulously designed with a multimodal feature fusion mechanism that can extract emotion-relevant features from different sources of information and uses advanced attention mechanisms to integrate these features, ensuring the comprehensiveness and accuracy of emotion recognition. …”
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Enhancing Fake Review Detection Using Linguistic Exaggeration, BERT Embeddings, and Fuzzy Logic by Mohammed Ennaouri, Ahmed Zellou

“…The core objective of this work is to develop a hybrid model that combines interpretable handcrafted linguistic cues with deep semantic features for more accurate, robust, and accurate fake review detection. …”
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A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interaction by Jordan J. Bird, Diego R. Faria, Luis J. Manso, Anikó Ekárt, Christopher D. Buckingham

“…An evolutionary algorithm is applied to select the most informative features from an initial set of 2550 EEG statistical features. …”
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Using Wearable Sensors for Sex Classification and Age Estimation from Walking Patterns by Rizvan Jawad Ruhan, Tahsin Wahid, Ashikur Rahman, Abderrahmane Leshob, Raqeebir Rab

“…Consequently, it can be considered to be a biometric feature, similar to the face, iris, or fingerprints, and can easily be used for human identification purposes. …”
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Psycholinguistics of Organizational Phenomena: A Case of the Managerial Culture Study by Віталій Шимко

“…The syntagmatic dissemination of discourse is manifested by the features of the words semantic linear interrelationship in each n-gram. …”
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Analysis of the influence of selected audio pre-processing stages on accuracy of speaker language recognition by Olesia Barkovska, Anton Havrashenko

“…Conclusions: In the course of the work, the best sequence of stages of pre-processing audio data was selected for use in further training of the neural network for different ways to convert signals into features. Mel-cepstral characteristic coefficients are better suited for solving our problem. …”
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