A Method for Improving Traffic Management Based on Computer Vision and Traffic Simulation by R. Huang, Z. Wang, Y. Lin, T. Du, K. Lu, K. Lu, C. Ding, Y. Zhang

“…This study develops an integrated framework combining computer vision and traffic simulation for optimizing traffic management in high-density urban commercial areas. …”
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Integrating brain-inspired computation with big-data analytics for advanced diagnostics in neuroradiology by Senthil Kumar, J. Ramprasath, V. Kalpana, Manikandan Rajagopal, Maheswaran S, Rupesh Gupta

“…Methods: The BDA-D architecture utilizes data mining, pattern recognition, and machine learning to glean useful neuroanatomical characteristics from massive datasets. …”
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Statistical Analysis of Local Extrema in Rough Sea Surfaces Based on Computer Simulation by N. S. Pyko, E. D. Orandarenko, M. I. Bogachev

“…Radar-based remote sensing techniques represent a ubiquitous tool for analyzing large patterns of the sea surface and determining the parameters of the waves. …”
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Role of insulinemic and inflammatory dietary patterns on gut microbial composition and circulating biomarkers of metabolic health among older American men by Sushma Nepal, Ni Shi, Rebecca Hoyd, Daniel J. Spakowicz, Eric Orwoll, James M. Shikany, Nicola Napoli, Fred K. Tabung

“…Reversed Empirical Dietary Inflammatory Pattern (rEDIP), Empirical Dietary Index for Hyperinsulinemia (rEDIH), and Healthy Eating Index (HEI)-2020 scores were computed from food frequency questionnaire data. …”
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Co-occurrence patterns based fruit quality detection for hierarchical fruit image annotation by Sangita B. Nemade, Shefali P. Sonavane

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Face expression recognition using LDN and Dominant Gradient Local Ternary Pattern descriptors by I. Michael Revina, W.R. Sam Emmanuel

“…Also, this paper proposes the Local Directional Number (LDN) pattern, Dominant Gradient Local Ternary Pattern (DGLTP) descriptor for feature extraction and Support Vector Machine (SVM) classifier for classification. …”
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A benchmark for computational analysis of animal behavior, using animal-borne tags by Benjamin Hoffman, Maddie Cusimano, Vittorio Baglione, Daniela Canestrari, Damien Chevallier, Dominic L. DeSantis, Lorène Jeantet, Monique A. Ladds, Takuya Maekawa, Vicente Mata-Silva, Víctor Moreno-González, Anthony M. Pagano, Eva Trapote, Outi Vainio, Antti Vehkaoja, Ken Yoda, Katherine Zacarian, Ari Friedlaender

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Influence of hip morphology on gluteal muscle biomechanics: a computational modeling study by Shangcheng Wang, Ryan Serbin, Kirby Bonvillain, Josef Jolissaint, Nahir Habet, Durham Weeks

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Computational Pharmacology Analysis of Lycopene to Identify Its Targets and Biological Effects in Humans by Abhinand Rao, Arun H. S. Kumar

“…Here we investigated the molecular targets, pharmacodynamic feasibility, and tissue-specific expression of lycopene targets using a computational pharmacology approach combined with affinity and protein–protein interaction (PPI) analyses. …”
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Fraud detection skills of Thai Gen Z accountants: The roles of digital competency, data science literacy and diagnostic skills by Narinthon Imjai, Watcharawat Promma, Nimnual Visedsun, Berto Usman, Somnuk Aujirapongpan

“…The results showed that digital competency have significant direct effects on the fraud detection skills, with diagnostic skills playing a key role in the process. …”
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GUIDE IN ENGLISH AS A MATERIAL FOR PROFESSIONAL COMPETENCE ACQUISITION BY STUDENTS OF TOURISTS’ SPECIALTIES (ON THE EXAMPLE OF THE GUIDE SERIES ‘AWESOME UKRAINE’) by Nataliia E. Polishko, Neliia M. Blynova

“…Since foreign language proficiency is one of the main competencies for a student of this specialty, the question of the methodology of its study is extremely relevant. …”
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ENGLISH GUIDE AS A DIDACTIC MATERIAL FOR PROFESSIONAL COMPETENCES ACQUISITION BY STUDENTS OF HOSPITALITY AND TOURSM PROGRAMS (ON THE EXAMPLE OF ‘AWESOME UKRAINE’) by Neliia M. Blynova, Nataliia E. Polishko

“…The publications are quite competent and created in accordance with publishing standards, embody a well-thought-out concept of presenting textual and illustrative material, crucial for acquiring foreign language competences. …”
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Phraseological Patterns in Learner Academic English: Insights from Corpus-Driven Approaches by Sibel Aybek

“…A qualitative contrastive analysis, guided by Granger’s (1998) principles of overuse and underuse in learner corpora, was then carried out in order to further explore the nuances of these patterns. The results suggest that using both quantitative and qualitative contrastive analysis offers valuable insights into the phraseological competence of L2 learners, particularly in academic contexts. …”
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Developing of the Pattern of Revising the Elementary School math Curriculum based on Fullan's Approach by Reza Jafariharandi

“…The results showed the pattern of revising the elementary math curriculum based on Fulen's approach with the aim of achieving deep learning and partial goals of creating and strengthening the six global competencies in students, providing the four elements of learning design, providing learning and teaching conditions and facilitating the joint research process. …”
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Fractal and multifractal spatiotemporal patterns of land surface temperatures in a coastal city by Qin Nie, Feipeng Ran, Wang Man, Hui Li, Ying Yuan, Lizhong Hua

“…In order to discover the fractal and multifractal nature of land surface temperature (LST) spatiotemporal patterns, this study computed the LST in thecoastal city, Xiamen, southeastern China using Landsat TM/OLI/TIRS images from 1994 to 2015, and introduced two-dimensional box-counting and two-dimensional multifractal box-counting methods to quantitatively characterize the LST pattern. …”
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Cell-biology effective interpretation of the Ising model describing skin color patterning by Muhamet Ibrahimi, Szabolcs Zakany, Michel C. Milinkovitch

“…The skin color patterning of lizards with monochromatic skin scales can be modeled computationally with at least two different mathematical frameworks: Turing's reaction-diffusion model (relying on interaction data among colored cells), and the Lenz-Ising model (based on effective mesoscopic interactions among individual skin scales). …”
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Learning tissue representation by identification of persistent local patterns in spatial omics data by Jovan Tanevski, Loan Vulliard, Miguel A. Ibarra-Arellano, Denis Schapiro, Felix J. Hartmann, Julio Saez-Rodriguez

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Entropy-Based Ensemble of Convolutional Neural Networks for Clothes Texture Pattern Recognition by Reham Al-Majed, Muhammad Hussain

“…Moreover, images of clothes patterns may be taken in an unconstrained illumination environment. …”
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Conserved recombination patterns across hepatitis B genotypes: a retrospective study by Derek Tshiabuila, James E. San, Eduan Wilkinson, Graeme Dor, Houriiyah Tegally, Tongai G. Maponga, Marion Delphin, Philippa C. Matthews, Darren P. Martin, Cheryl Baxter, Tulio de Oliveira

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Muscle Sensor Model Using Small Scale Optical Device for Pattern Recognitions by Kreangsak Tamee, Khomyuth Chaiwong, Kriengsak Yothapakdee, Preecha P. Yupapin

“…The obtained simulation results, that is, interference signal patterns, can be used to form the various pattern recognitions, which are useful for the human machine interface and the human computer interface application and discussed in detail.…”
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