A Novel Improved Local Binary Pattern and Its Application to the Fault Diagnosis of Diesel Engine by Yanping Cai, Guanghua Xu, Aihua Li, Xu Wang

“…Aiming at the feature extraction difficulty of vibration signals, an improved local binary pattern- (ILBP-) based diesel engine fault diagnosis approach is proposed. …”
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Attention-fused residual transformer CNN for robust lower limb movement recognition by A. Anitha, D. Jeraldin Auxillia

“…Data augmentation is applied to create more samples for minority classes, addressing class imbalance problems and improving recognition reliability. The AF-RT-CNN architecture combines residual blocks, attention mechanism and Transformer Encoder aiding robust feature extraction, good generalization capability and pattern recognition. …”
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Color image hybrid noise filtering algorithm based on deep convolution neural network by Yongfei Yu, Yuanjian Yan

“…To solve the problems of the classical color image hybrid noise filtering method, a deep convolutional neural network improved by evolutionary strategy and jump connection is proposed and applied to the filtering noise reduction of color images. …”
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Design of a Convolutional Neural Network with Type-2 Fuzzy-Based Pooling for Vehicle Recognition by Cheng-Jian Lin, Bing-Hong Chen, Chun-Hui Lin, Jyun-Yu Jhang

“…Convolutional neural networks typically employ convolutional layers for feature extraction and pooling layers for dimensionality reduction. …”
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Benchmarking Quantum Machine Learning Kernel Training for Classification Tasks by Diego Alvarez-Estevez

“…In particular, it examines the performance of quantum kernel estimation and quantum kernel training (QKT) in connection with two quantum feature mappings, namely, ZZFeatureMap and CovariantFeatureMap. …”
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PRAGMATIC DEVIATIONS IN TRANSLATION OF LEXICAL BLENDS WITHIN POLITICAL DISCOURSE by Olena M. Medvid, Kateryna M. Vashyst

“…., blends, are an integral feature of the English language in general and modern English socio-political discourse in particular. …”
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Regularities of crustal faulting and tectonophysical indicators of fault metastability by Yu. L. Rebetsky

“…The problem of forecasting seismic hazards is discussed. …”
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Research on real-time monitoring method of mine personnel protective equipment with improved YOLOv8 by Lei ZHANG, Zhipeng SUN, Hongjing TAO, Shangkai HAO, Qianru YAN, Xiwei LI

“…In the process of multi-scale feature fusion, the less efficient feature transmission nodes are deleted. …”
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Clinical, nutritional, anthropometric indicators and frequency of occurrence of Ala16Val (rs4880) polymorphic locus of the <i>MnSOD</i> gene in vibration disease comorbid with arte... by A. M. Gorbunova, O. N. Gerasimenko, I. S. Shpagin, M. S. Medvedkina, V. N. Maksimov, Yu. A. Nikolaev

“…The common pathogenetic features of VD and AH lead to the development of adipose tissue dysfunction and trophological insufficiency. …”
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A depth-wise separable VGG19-capsule network for enhanced bell pepper and grape leaf disease classification with ensemble activation by Midhun P Mathew, Sudheep Elayidom, Jagathy Raj V P, Abubeker K M

“…Crop disease is a significant problem in the agricultural sector, leading to decreased food production and causing substantial economic losses for farmers in farming regions. …”
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Application of a Dual-Stream Network Collaboratively Based on Wavelet and Spatial-Channel Convolution in the Inpainting of Blank Strips in Marine Electrical Imaging Logging Images:... by Guilan Lin, Sinan Fang, Manxin Li, Hongtao Wu, Chenxi Xue, Zeyu Zhang

“…Electrical imaging logging technology precisely characterizes the features of the formation on the borehole wall through high-resolution resistivity images. …”
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DERMOID AND EPIDERMOID CYSTS OF THE MAXILLOFACIAL AREA AND THE NECK AMONG CHILDREN by P.I. Tkachenko, I.I. Starchenko, S.O. Bilokon, Y.V. Popelo, N.P. Bilokon, V.V. Yarkovy

“…However, if there are no significant issues regarding the etiology and pathogenesis of dermoids and epidermoids, there is a problem of constant monitoring of their prevalence and structure for the formation of administrative organizational measures for the planning of specialized care for this category of patients. …”
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Gamification resources in education: A theoretical approach by N. A. Astashova, S. K. Bondyreva, O. S. Popova

“…The activity approach makes it possible to identify the basics of the organisation and management of the activities of subjects of education, to establish the features of the use of educational technologies, practices and methodological techniques. …”
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NECROTIZING GINGIVITIS: CASE REPORTS I (REVIEW OF THE LITERATURE) by V.I. Shynkevych

“…They concluded that there was insufficient data to resolve this problem, thus they decided to place both conditions in one category of “necrotizing periodontal disease”. …”
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Conditions for maximal regularity of solutions to fourth-order differential equations by Ye.O. Moldagali, K.N. Ospanov

“…The smoothness conditions imposed on the coefficients in this study are necessary for the existence of the adjoint operator. One notable feature of the results is that the constraints only apply to the coefficients themselves; no conditions are placed on their derivatives. …”
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Optimal Trajectory Tracking for Underactuated Systems via the Takagi–Sugeno Framework: An Autonomous Underwater Vehicle Mission Case Study by Georgios P. Kladis, Lefteris Doitsidis, Nikos C. Tsourveloudis

“…Autonomy of underwater vehicles has become an imperative feature due to increasingly challenging deep sea mission scenarios. …”
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A Research Approach to Port Information Security Link Prediction Based on HWA Algorithm by Zhixin Xia, Zhangqi Zheng, Lexin Bai, Xiaolei Yang, Yongshan Liu

“…Because of this, this paper proposes an algorithm called hypergraph-based link prediction with self-attention (HWA) to solve the above problems. The algorithm can obtain hypergraphs without knowing the attribute information of hypergraph nodes and combines the graph convolutional network (GCN) framework to capture node feature information for link prediction. …”
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Extracting product competitiveness through user-generated content: A hybrid probabilistic inference model by Ming-Fang Li, Guo-Xiang Zhang, Lu-Tao Zhao, Tao Song

“…Compared with the traditional model, BMB model has better performance in product feature mining in three aspects of feature diversity, feature long tail and attribute difference. …”
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A dimmable LED light source along the Planckian locus by Yuanbao Du, Lixia Zhao, Riguang Zhang, Yaohua Zhang

“…We present a three-channel LED light source featuring an integrated chip-on-board (COB) package structure. …”
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Taxi origin and destination demand prediction based on deep learning: a review by Dan Peng, Mingxia Huang, Zhibo Xing

“…Next, we discuss ongoing challenges in OD prediction, such as dynamics, spatiotemporal dependence, semantic differentiation, time window selection, and data sparsity problems, and summarize and compare potential solutions to each challenge. …”
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