Visual design element recognition of garment based on multi-view image fusion by Meng Fanyu

“…This clothing style recognition aids in predicting clothes' features and patterns, which aids in classifying them using efficient feature extraction and classification models such as Convolutional Neural Network (CNN). …”
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Forecasting the number of rural migrant workers in Chongqing using the optimized grey N_Verhulst model by Dai Liu, Chengxiang He, Jianlong Ma

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Collaborative Music Learning : Utilizing n-Track Application in Private Music Education by Piter Sembiring, Yudi Sukmayadi, Ayo Sunaryo

“…The findings indicate that n-Track enhances student engagement, supports independent practice, and improves teacher-student interaction efficiency. Key features such as multitrack recording, MIDI sequencing, and real-time feedback facilitate structured musical arrangements and instrumental skill development. …”
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How artificial intelligence reduces human bias in diagnostics? by Artur Luczak

“…Explainable AI techniques enable the identification of which features in data are used by DNNs to make decisions. …”
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Craniofacial Pain: Brainstem Mechanisms by Barry J Sessle

“…These extensive convergent input patterns also appear to be important factors in pain spread and referral, and in central mechanisms underlying neuroplastic changes in V neuronal properties that may occur with injury and inflammation. …”
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Applications and prospects of artificial intelligence in the auxiliary diagnosis of nail diseases by HE Mengwen, MAI Sien, MA Han

“…For onychomycosis, multiple studies have developed various AI models based on different image types. …”
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Urban Dynamics in Downtown Baghdad: Analyzing Syntactic Properties and Land Use Forms of AlShorja and Bab AlSharqi Areas by Noor Hadi Alsaffar, Dhirgham Alobaydi

“…These insights aim to guide future urban development to create livable and sustainable environments. …”
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Social Work in Cybersecurity by Samah Monammed Albargi

“…The modern cyberspace features complex and highly evolving threats against users and particular vulnerable groups, such as youths and children. …”
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Exploring the decentralized science ecosystem: insights on organizational structures, technologies, and funding by Francisco Díaz, Carolina Menchaca, Lukas Weidener

“…By identifying key patterns and areas for improvement, this study contributes to a deeper understanding of the factors driving success and sustainability in DeSci.…”
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Federated-Learning-Based Strategy for Enhancing Orbit Prediction of Satellites by Jiayi Tang, Wenxin Li, Qinchen Zhao, Hongmei Chi

“…Each satellite uses a Convolutional Neural Network (CNN) model to extract features from historical prediction error data. The server optimizes the global model through the Federated Averaging algorithm, learning more orbital patterns and enhancing accuracy. …”
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Deep learning for rice leaf disease detection: A systematic literature review on emerging trends, methodologies and techniques by Chinna Gopi Simhadri, Hari Kishan Kondaveeti, Valli Kumari Vatsavayi, Alakananda Mitra, Preethi Ananthachari

“…Image processing techniques are used to extract features from diseased leaf images, such as the color, texture, vein patterns, and shape of lesions. …”
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Using the antibody-antigen binding interface to train image-based deep neural networks for antibody-epitope classification. by Daniel R Ripoll, Sidhartha Chaudhury, Anders Wallqvist

“…We hypothesized that Abs recognizing the same part of an antigen share a limited set of features at the binding interface, and that the binding site regions of these Abs share share common structure and physicochemical property patterns that can serve as a "fingerprint" to recognize uncharacterized Abs. …”
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A New Algorithm Model Based on Extended Kalman Filter for Predicting Inter-Well Connectivity by Liwen Guo, Zhihong Kang, Shuaiwei Ding, Xuehao Yuan, Haitong Yang, Meng Zhang, Shuoliang Wang

“…In addition, the production performance of multi-well groups, especially the development of ineffective circulation channels and their effects on reservoir development, are studied in-depth. …”
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Children's book in Siberia: a historiographic review by E. V. Engalycheva

“…The author concludes that the children's book has been studied in different periods of its development in the context of numerous aspects, directions and components, which makes it possible to reveal the special patterns of its existence.…”
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Geochronology and Geochemistry of the Karadaban Bimodal Volcanic Rocks in the Altyn Area, Xinjiang: Implications for the Tectonic Evolution of the Altyn Ocean by Wen-Bin Jia, Guang-Sheng Yan, Xiao-Fei Yu, Yong-Sheng Li, Sandro Conticelli, Ze-Zhong Du

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Modeling of spatial spread of COVID-19 pandemic waves in Russia using a kinetic-advection model by V. V. Aristov, A. V. Stroganov, A. D. Yastrebov

“…This paper studies the development of epidemic events in Russia, starting from the third and including the most recent fifth and sixth waves. …”
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Comparative evaluation of machine learning models for extreme river water level forecasting in Bangladesh: Implications for flood and drought resilience by Md Touhidul Islam, Sujan Chandra Roy, Nusrat Jahan, Al-Mahmud, Md Mazharul Islam, Abdullah Al Ferdaus, Kazunori Fujisawa, A.K.M. Adham

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A Study on the Spatial Perception and Inclusive Characteristics of Outdoor Activity Spaces in Residential Areas for Diverse Populations from the Perspective of All-Age Friendly Des... by Biao Yin, Lijun Wang, Yuan Xu, Kiang Chye Heng

“…With the transformation of urban development patterns and profound changes in population structure in China, outdoor activity spaces in residential areas are facing common issues such as obsolete infrastructure, insufficient barrier-free facilities, and intergenerational conflicts, which severely impact residents’ quality of life and hinder high-quality urban development. …”
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The influence of heterogeneity of lacustrine shale facies on rock mechanical properties and brittleness: a case study of Jurassic lacustrine shale reservoirs in Northeast Sichuan B... by Haibo Zhao, Haibo Zhao, Shujun Yin, Shujun Yin, Xuefeng Yang, Xuefeng Yang, Weilin Yan, Weilin Yan, Guangwu Bi, Guangwu Bi, Jianliang Zhang, Jianliang Zhang, Zimeng Xing

“…Through a correlation analysis of normalized rock parameters and the brittleness index derived from stress-strain curves with the fracture breakdown pressure and extension pressure observed in field fracturing, a comprehensive evaluation index has been established using the analytic hierarchy process to reflect the brittleness of deep lacustrine shale.DiscussionThis index serves effectively in characterizing the brittleness features of deep lacustrine shale, and evaluations suggest that the Liang upper section has a relatively high brittleness index and good compressibility, marking it as a key target layer for future shale gas development.…”
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The precipitous decline of a gray fox population by Max R. Larreur, Clayton K. Nielsen, Damon B. Lesmeister, Guillaume Bastille-Rousseau

“…We then developed three predictive occupancy models that allowed comparison of gray fox spatial patterns and occupancy estimates over time. …”
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