Minimising Security Deviations in Software-Defined Networks Using Deep Learning by mohammed alghaloom

“…A comprehensive data analysis was conducted, beginning with feature identification and dimensionality reduction using the Gain Information method to filter out redundant features, thereby improving model performance. …”
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The present study answers the research question: A corpus-based analysis of collocate directionality in academic English writing by Abdulaziz B. Sanosi

“…Such results can have implications for both collocation instruction and provide practical insights to develop academic writing skills. With these findings, educators can concentrate on teaching the syntactic features of collocations and emphasizing vocabulary instruction that prioritizes word pairs over individual words. …”
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PGDRT: Prediction Demand Based on Graph Convolutional Network for Regional Demand-Responsive Transport by Eunkyeong Lee, Hosik Choi, Do-Gyeong Kim

“…Therefore, it is necessary to establish a regional demand generation prediction model that reflects temporal features for efficient demand response service operations. …”
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Machine learning-based single-sample molecular classifier for cancer grading by Zoia Antysheva, Nikita Kotlov, Mariia V. Guryleva, Ivan Valiev, Viktor Svekolkin, Anna Belozerova, Sheila T. Yong, Dmitry Tabakov, Alexander Bagaev, Vladimir Kushnarev

“…Gene expression patterns as revealed by the classifier can provide useful information for both research and diagnostic purposes.…”
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Mathematical and geoinformation modeling of snowmelt process in the river drainage basins of the Kama region by V. G. Kalinin, A. A. Shaydulina, V. S. Rusakov, M. A. Fasakhov

“…Based on the temperature coefficient method, detailed digital maps and GIS-technologies, a model of spring snow melting has been developed. This model makes it possible to take into account the spatial distribution of meteorological information, features of the relief and soil-vegetation cover more accurately. …”
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Pregnancy course and perinatal outcomes in women with congenital heart valve disease by Yu. V. Bukhonkina1, R. I. Stryuk, G. V. Chizhova, V. B. Nemirovsky

“…All women gave birth at the specialised maternity centre in Moscow and the perinatal centre in Khabarovsk.Results. The features of CHVD in pregnant women reflected the population patterns and were represented by interventricular and interatrial septal defects, aortal coarctation, open arterial duct, pulmonary artery stenosis, and corrected “blue” heart valve disease. …”
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The Application of BiGRU-MSTA Based on Multi-Scale Temporal Attention Mechanism in Predicting the Remaining Life of Lithium-Ion Batteries by Luping Wang, Shanze Wang

“…This mechanism is integrated with the Bidirectional Gated Recurrent Unit (BiGRU) to develop the BiGRU-MSTA framework. This framework effectively captures multi-scale temporal features and enhances prediction accuracy, even with limited training data. …”
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Laryngeal involvement in relapsing polychondritis: clinical and CT findings in 173 patients by Zhengang Wang, Xiao Bai, Ruohan Yu

“…We aimed to characterise the clinical features and CT findings of laryngeal involvement in RP, hypothesising that specific CT patterns correlate with clinical manifestations.Methods We retrospectively analysed 173 patients with confirmed RP. …”
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Identification of cell adhesion related signature for molecular subtyping and prognostic prediction in acute myeloid leukemia by Caifang Zhao, Xiang Weng, Wei He

“…A prognostic model comprising 8 genes was developed, showing strong predictive power for overall survival and significant correlations with immune cell infiltration patterns. …”
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In-vitro immune-modulation of triple-negative breast cancer through targeting miR-30a-5p/MALAT1 axis using nano-PDT combinational approach by Asmaa Ramzy, Mohammad Abdel-Halim, Tamer Manie, Noha M. Elemam, Samar Mansour, Rana A. Youness, Aya Sebak

“…The immune-suppressive features of TNBC TIME represent a considerable obstacle to any immunotherapeutic approach. …”
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Spatio-temporal evolution of cultural heritage and its response to the geographical environment: a case study of Fujian Province by Qingshu Lin, Peixu Hou

“…The results indicate that: (1) there are significant regional differences in the spatial distribution of cultural heritage in Fujian Province, with a high concentration in coastal areas and around the provincial capital, featuring diverse types, especially ancient buildings; (2) the distribution of cultural heritage has shown a trend of expansion from the central region to the southeastern coast and then to the southwest over historical development; (3) natural environmental factors, particularly rivers, temperature, and elevation, have a significant impact on the distribution of cultural heritage, while the direct impact of economic environmental factors is relatively minor. …”
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The Rise of FinTech and the Journey Toward a Cashless Society: Investigating the Use of Mobile Payments by SMEs in Oman in the Context of Vision 2040 by Hisham Al Ghunaimi, Faozi A. Almaqtari, Ronald Wesonga, Ahmed Elmashtawy

“…By utilizing secondary sources of data from the Central Bank of Oman and global FinTech reports, this research identifies essential enablers, such as security features and ease of use, which are propelled by developments in FinTech solutions. …”
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Remote Sensing Identification of Major Crops and Trade-Off of Water and Land Utilization of Oasis in Altay Prefecture by Gaowei Yan, Luguang Jiang, Ye Liu

“…Within this fragile balance lies a critical opportunity: efficient water resource management could pave the way for sustainable development across the entire arid oasis regions. This study uses a decision tree model based on a feature threshold to map the spatial distribution of major crops in the Altay Prefecture oasis, assess their water requirements, and identify the coupling relationships between agricultural water and land resources. …”
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Symmetry-Based Data Augmentation Method for Deep Learning-Based Structural Damage Identification by Long Li, Xiaoming Tao, Hui Song, Xiaolong Li, Zhilong Ye, Yao Jin, Qiuyu He, Shiyin Wei, Wenli Chen

“…These methods typically use ML algorithms to identify patterns within features extracted from data representing structural conditions, thereby inferring damage from changes in these patterns. …”
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INTRODUCTION by Ken HYLAND, Octavia-Raluca ZGLOBIU-SANDU, Andrada FĂTU-TUTOVEANU

“…LSP, whether focusing on academic or professional contexts of communication, attempts to discover the key rhetorical structures, language relationships and lexical patterns of target texts by exploring how language is used in specific contexts. …”
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MAFcounter: an efficient tool for counting the occurrences of k-mers in MAF files by Michail Patsakis, Kimonas Provatas, Aris Karatzikos, Charalampos Koilakos, Ioannis Mouratidis, Ilias Georgakopoulos-Soares

“…These alignments facilitate the exploration of sequence similarity patterns, providing valuable insights into sequence conservation, evolutionary relationships and for functional analyses. …”
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Advanced Computer Vision Methods for Avian Risk Assessment Using Multispectral Drones by Dimitrios Mpouziotas, Petros Karvelis, Ioulia Kapsali, Chrysostomos Stylios, Vasilios Tsiouris

“…This system leverages state-of-the-art computer vision techniques with spatial analysis characteristics to analyze wildlife bird behavior through optical cameras and extract features for each bird. Coupled with data derived from thermal imagery as a crucial factor, it can perform a comprehensive risk assessment by correlating thermal patterns with behavioral insights, utilizing the Analytic Hierarchy Process (AHP) method. …”
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Simulation of single-species bacterial-biofilm growth using the Glazier-Graner-Hogeweg model and the CompuCell3D modeling environment by Nikodem J. Poplawski, Abbas Shirinifard, Maciej Swat, James A. Glazier

“…In our simulations, which generalize the PLHmodel by treating cells as spatially extended, deformable bodies, differentialadhesion between cells, and their competition for a substrate (nutrient), sufficeto produce a fingering instability that generates the finger shapes of biofilms.Our results agree with most features of the PLH model, although our inclu-sion of cell adhesion, which is difficult to implement using other modelingapproaches, results in slightly different patterns. …”
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The outcome prediction method of football matches by the quantum neural network based on deep learning by Yang Sun, Hongyang Chu

“…They have enhanced information processing capabilities and potential pattern mining abilities when dealing with vast, high-dimensional, and complex football match data. …”
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Holographic tomographic volumetric additive manufacturing by Maria Isabel Álvarez-Castaño, Andreas Gejl Madsen, Jorge Madrid-Wolff, Viola Sgarminato, Antoine Boniface, Jesper Glückstad, Christophe Moser

“…Abstract Several 3D light-based printing technologies have been developed that rely on the photopolymerization of liquid resins. …”
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