Walking Toward Relationality by Brian Grant

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Siamese network with change awareness for surface defect segmentation in complex backgrounds by Biyuan Liu, Sijie Luo, Huiyao Zhan, Yicheng Zhou, Zhou Huang, Huaixin Chen

“…Specifically, we introduced a novel multi-class balanced contrastive loss to guide the Transformer-based encoder, enabling it to encode diverse categories of defects as a unified, class-agnostic difference between defective and defect-free images. …”
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The efficiency of new univariate spectroscopic approaches for the sustainable estimation of a newly invented antihypertension-antihyperlipidemic quaternary combination: Assessing t... by Duaa AL Zakri, Amir Alhaj Sakur

“…The interference between LOS and EZE is subsequently deciphered either through the direct application of continuous wavelet transformation on the original spectra using the Daubechies wavelets or by manipulating the ratio spectra using either of two strategies: advanced amplitude difference or mean-centering transformations. …”
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Deep Learning Network Selection and Optimized Information Fusion for Enhanced COVID-19 Detection: A Literature Review by Olga Adriana Caliman Sturdza, Florin Filip, Monica Terteliu Baitan, Mihai Dimian

“…Multimodal diagnostic systems now incorporate alternative methods, in addition to imaging, which use lung ultrasounds, clinical data, and cough sound evaluation. …”
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Early Warning of Nerve Agent Release in Large Indoor Environments Based on Encoder-Decoder Coupling Physics-Informed Neural Network by Shuobei Sun, Yang Peng, An Wang, Yiwen Xie, Yang Hu, Zhongyu Hou

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Valsartan to Prevent Acquired Pulmonary Vein Stenosis in Pediatric Patients After Total Anomalous Pulmonary Venous Connection Surgery by Jin Shentu, Mingjie Zhang, Zhuoming Xu, Chen Wen, Hao Zhang, Zhongqun Zhu, Huiwen Chen, Guocheng Shi

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TMFN: a text-based multimodal fusion network with multi-scale feature extraction and unsupervised contrastive learning for multimodal sentiment analysis by Junsong Fu, Youjia Fu, Huixia Xue, Zihao Xu

“…Firstly, we propose an innovative pyramid-structured multi-scale feature extraction method, which captures the multi-scale features of modal data through convolution kernels of different sizes and strengthens key features through channel attention mechanism. …”
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Pure data correction enhancing remote sensing image classification with a lightweight ensemble model by Huaxiang Song, Hanglu Xie, Yingying Duan, Xinyi Xie, Fang Gan, Wei Wang, Jinling Liu

“…Abstract The classification of remote sensing images is inherently challenging due to the complexity, diversity, and sparsity of the data across different image samples. Existing advanced methods often require substantial modifications to model architectures to achieve optimal performance, resulting in complex frameworks that are difficult to adapt. …”
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Personal Data Recognition Using a Deep Learning Model by Nikita Babak

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SwinConvNeXt: a fused deep learning architecture for Real-time garbage image classification by B. Madhavi, Mohan Mahanty, Chia-Chen Lin, B. Omkar Lakshmi Jagan, Hari Mohan Rai, Saurabh Agarwal, Neha Agarwal

“…People still face challenges in proper disposal methods for different types of waste, including landfill-bound items, recyclable materials, and biodegradable waste. …”
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Nonlinear Compensation of the Linear Variable Differential Transducer Using an Advanced Snake Optimization Integrated with Tangential Functional Link Artificial Neural Network by Qiuxia Fan, Xinqi Zhang, Zhuang Wen, Lei Xu, Qianqian Zhang

“…The linear variable differential transformer is a key component for measuring vibration noise and active vibration isolation. …”
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GPS Phase Integer Ambiguity Resolution Based on Eliminating Coordinate Parameters and Ant Colony Algorithm by Ning Liu, Shuangcheng Zhang, Xiaoli Wu, Yu Shen

“…The method eliminates the coordinate parameters in the observation equation using QR decomposition transformation, and only estimates the ambiguity parameters using the Kalman filter. …”
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Assessment of Digital Activity of the Population in the Context of the Theory of Generations by M. V. Bikeeva

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Analyzing the interaction of key factors of Sustainable Business Model Innovation in the Digital Age Based on Dynamic Capabilities Using An integrative meta-synthesis and interpret... by Ayoub Mohammadian, Seyed Hamed Vares, Nastaran Hajiheydari, Datis Khajeheian, Mohammad Kargar Shouraki

“…The method of this research is mixed so that in the first stage the qualitative method of Meta-Synthesis is used and in the second stage the quantitative method of Interpretive Structural Modeling (ISM) is used. …”
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Detecting Black-Box Model Probing Attacks Through Probability Scores by Yongzhi Wang, Ahsan Habib, Likhitha Reddy Kesara, Brahmarshi Jasti, Renjie Hu, Tejasv Singh

“…Our research discovered that the sequences of top-2 probability scores generated by different model probing attacks form distinct patterns that can be detected through time-series classification methods, such as Transformer and Bidirectional Long Short-Term Memory (BiLSTM). …”
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Optimal Dispatch of Multi-Coupling Systems Considering Molten Salt Thermal Energy Storage Retrofit and Cost Allocation Under Rapid Load Variations by Niancheng Zhou, Zhenyu Xu, Yuan Chi, Yao Zou, Fei Xu, Xuhui Dai

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An LLM-based hybrid approach for enhanced automated essay scoring by John Atkinson, Diego Palma

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Toolkit for the efficient articulation of sustainable strategies with design and management methodology used by AECO industry in Latin America by Carolina Valbuena-Bermúdez, Claudia Bengoa-Alvarez

“…Digital transformation is changing the world, and with it the construction and architecture industry, however, although there are many collaborative work frameworks for digitization, and agile philosophies among different professionals, the methodologies of creative processes throughout the entire life cycle of a project that involves sustainability strategies have been greatly reduced and relegated over time. …”
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Obstacles to Digital Innovation in KIBS — The Case of Law Firms in Poland by Krzysztof Durczak, Marek Gnusowski, Maciej Ławrynowicz

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Gender values in common-law marriages by Z. Kh. Kobleva

“…Currently the institution of the family and marriage relations is undergoing serious changes due to transformational processes of the Russian society. These changes are reflected in the variability of forms and models of the modern family and the common-law marriage is universally popular.In the context of the modernization of society, traditional gender stereotypes are being eroded, leading to a revision of established behavioral norms and social roles in the family, forming the value-motivational foundations of marriage.The Methods. …”
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