Peculiarities of Pattern Information Transmission by Evgeniy V. Yurkevich, Lidiya N. Krukova

Subjects: “…pattern information…”
Get full text

HOW DOG OWNERS LEISURE PATTERNS INFORM DESTINATION PREFERENCES: INSIGHTS FORM HUNGARY by Anetta MÜLLER, Réka PÁLINKÁS, Ildikó VAJDA, Anikó MOLNÁR, Zoltán BUJDOSÓ, Anita BOROS, Antal LOVAS KISS, Attila LENGYEL, Gábor Gergely RÁTHONYI, Éva Bába BÁCSNÉ

Get full text

An Etymological Study of the Term "Zhongshu (Heatstroke)" by Yuhao HE, Bangxian ZHU, Lili LIU, Qi YANG, Ming LI

Get full text

Phased Researches of Transport Market Aimed to Substantiate Passenger Trains’ Consist Patterns by A. V. Sokolovskiy

“…Market researches are focused on definition of those transport market segments where it may be recommended to introduce trains with fixed train consist pattern. Information analysis provisions for the conducted market researches are based on the MIS Express capabilities. …”
Get full text

Systemic testing on Bradley-Terry model against nonlinear ranking hierarchy. by Aaron Shev, Kevin Fujii, Fushing Hsieh, Brenda McCowan

“…We take this development further by rigorously arguing for the necessity of accommodating system's global pattern information contents, and then introducing a systemic testing on Bradley-Terry model. …”
Get full text

Headlines or Hashtags? The battle in social media for investor sentiment in the stock market by Yudhvir Seetharam, Kingstone Nyakurukwa

“…The findings show a prevailing pattern: information predominantly flows from social media to news for the majority of stocks while a reverse relationship is established for some stocks. …”
Get full text

Comparative Study on Interaction of Form and Motion Processing Streams by Applying Two Different Classifiers in Mechanism for Recognition of Biological Movement by Bardia Yousefi, Chu Kiong Loo

“…Fuzzy inference system is used for motion pattern information in motion pathway creating more robustness in recognition process. …”
Get full text

Assessment of Sleep Patterns and Their Correlation with Height in Children Aged 8–11 Years: Insights from the Sleep Disturbance Scale for Children (SDSC) by Ahmad mahfur, Laksmitha Saktiono Safitri, Hawin Nurdiana, Annisa Nurul Arofah

“…Data on height and weight were collected from school records, while sleep pattern information was obtained through parent-completed questionnaires. …”
Get full text

N-Screen Aware Multicriteria Hybrid Recommender System Using Weight Based Subspace Clustering by Farman Ullah, Ghulam Sarwar, Sungchang Lee

“…N-screen aware recommendation seeks to improve the user experience with recommended content by considering the user N-screen device attributes such as screen resolution, media codec, remaining battery time, and access network and the user temporal usage pattern information that are not considered in existing recommender systems. …”
Get full text

Incremental mining of periodic patterns of inadequately informed communication data based on fuzzy segmentation of time series by Miaomiao Li

“…After scanning the different cycle time series data obtained from the segmented communication data, we employ the incremental mining algorithm to mine frequent cycle patterns and update incremental pattern information. The experimental results show that in terms of data dimensionality reduction, the time series of communication data with insufficient original high-dimensional information is downgraded to within 0.4 times of the original dimensionality, indicating that the proposed method successfully compresses the original high-dimensional data into a low-dimensional space, effectively reducing the computational complexity and improving the data processing speed. …”
Get full text

A Few-shot Learning Method for Intent Analysis of Air Combat Confrontation Behaviors by PAN Ming, ZHENG Jingsong, LI Jinliang, FANG Long, YANG Yang, ZHAO Shijie

“…With DBGRU as the backbone network, a few-shot contrastive learning algorithm based on data augmentation is proposed, which uses the Wasserstein Generative Adversarial Network (WGAN) based on Wasserstein distance to enrich the original data, and uses the contrastive learning framework to mine the rich pattern information in the multimodal data to make up for the lack of few-shot data, so as to accurately predict the behavior intention of electromagnetic targets. …”
Get full text

Unified regularity measures for sample-wise learning and generalization by Chi Zhang, Meng Yuan, Xiaoning Ma, Yu Liu, Haoang Lu, Le Wang, Yuanqi Su, Yuehu Liu

“…Recent studies on deep neural networks (DNNs) suggest that such sample differences are rooted in the distribution of intrinsic pattern information, namely sample regularity. Motivated by recent discoveries in network memorization and generalization, we propose a pair of sample regularity measures with a formulation-consistent representation for both processes. …”
Get full text

A toolbox for representational similarity analysis. by Hamed Nili, Cai Wingfield, Alexander Walther, Li Su, William Marslen-Wilson, Nikolaus Kriegeskorte

“…Neuronal population codes are increasingly being investigated with multivariate pattern-information analyses. A key challenge is to use measured brain-activity patterns to test computational models of brain information processing. …”
Get full text

Iterative approach for photonic crystal devices design by Pavel V. Mokshin, Dimitriy L. Golovashkin, Vladimir S. Pavelyev

“…., genetic algorithm or gradient procedures) by using diffraction pattern information at different frequencies while optimizing an element designed to operate at the selected wavelength. …”
Get full text

A Novel Audio Copy Move Forgery Detection Method With Classification of Graph-Based Representations by Beste Ustubioglu, Gul Tahaoglu, Arda Ustubioglu, Guzin Ulutas, Muhammed Kilic

“…In this stage, the filtered audio is represented as a graph using the proposed spiral pattern information extraction method. Graph coloring algorithms are applied to convert the graph into a visual representation, which is then input into a specially designed Convolutional Neural Network (CNN) model for classification. …”
Get full text

Moringa oleifera Leaf Extract-Mediated Green Synthesis of Nanostructured Alkaline Earth Oxide (MgO) and Its Physicochemical Properties by Archana Venkatachalam, Joseph Prince Jesuraj, kalainathan Sivaperuman

“…Polycrystalline nature has been observed pattern information. TG-DSC characterization revealed phase transition and weight loss information. …”
Get full text

Knowledge Driven Machine Learning Towards Interpretable Intelligent Prognostics and Health Management: Review and Case Study by Ruqiang Yan, Zheng Zhou, Zuogang Shang, Zhiying Wang, Chenye Hu, Yasong Li, Yuangui Yang, Xuefeng Chen, Robert X. Gao

“…A promising approach to overcoming these challenges is to embed domain knowledge into the ML pipeline, enhancing the model with additional pattern information. In this paper, we review the latest developments in PHM, encapsulated under the concept of Knowledge Driven Machine Learning (KDML). …”
Get full text

The role of attention in challenging the constraints of spatial statistical learning by T.M. Deeva, D.D. Kozlov

“…When we have some hierarchical structure as a pattern, information about the whole set or about some of its subsets can be learned. …”
Get full text

China’s efforts on the CSEP and a retrospective case by Huaizhong Yu, Jingxue Zhang, Yue Liu, Yongxian Zhang, Chieh-Hung Chen, Rui Yan, Gang Li, Zeping Li, Yuchuan Ma, Zhengyi Yuan, Wen Yang, Donghui Jia, Binbin Zhao

“…Some traditional methods such as Load-Unload Response Ratio (LURR), Pattern Information (PI), Relative Intensity (RI), Epidemic Type Aftershock Sequence (ETAS), and b-value have been installed. …”
Get full text

Traffic environment perception algorithm based on multi-task feature fusion and orthogonal attention by Zhengfeng LI, Mingen ZHONG, Yihong ZHANG, Kang FAN, Zhiying DENG, Jiawei TAN

“…The integration of complementary pattern information deepens feature sharing, thereby enhancing the recognition accuracy of each task. …”
Get full text