A novel deep learning approach to field-road semantic segmentation by Bei Wang, Wenze Wang

“…This study presents a deep learning framework that implements a novel semantic segmentation model designed to segment field-road trajectories, addressing the marked differences in spatial characteristics. The developed AI approach integrates transformer and semantic technologies to create an advanced semantic encoder that generates high-quality semantic prior maps and associated mask features. …”
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Novel deep neural network architecture fusion to simultaneously predict short-term and long-term energy consumption. by Abrar Ahmed, Safdar Ali, Ali Raza, Ibrar Hussain, Ahmad Bilal, Norma Latif Fitriyani, Yeonghyeon Gu, Muhammad Syafrudin

“…Energy is integral to the socio-economic development of every country. This development leads to a rapid increase in the demand for energy consumption. …”
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HISTORICAL, FAUNISTIC AND ZOOGEOGRAPHICAL CHARACTERISTIC OF MAMMALS OF THE CAUCASUS by G. M. Abdurakhmanov, A. M. Batkhiev

“…The results are of considerable theoretical and practical importance as a basis for assessing the causes of faunal diversity of ecological-faunal systems of mammals and patterns of their genetic relationship to the specific landscape. …”
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Linguistic Analysis of Unplanned Discourse in David Sedaris “Calypso” by Binin Mustafa Saeed, Rozgar Yousif Omar

“…This study thoroughly examines a range of grammatical features and patterns seen in conversational discourse. …”
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Identifying network state-based Parkinson’s disease subtypes using clustering and support vector machine models by Benedictor Alexander Nguchu, Benedictor Alexander Nguchu, Yifei Han, Yanming Wang, Peter Shaw

“…IntroductionParkinson’s disease (PD) heterogeneity poses challenges to the current development of discovering the best therapeutic targets.MethodsHere, we employ K-means and hierarchical clustering algorithms on data from the Parkinson’s Progression Markers Initiative (PPMI) to identify network-specific patterns that describe PD subtypes using the optimal number of brain features. …”
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THE SUSTAINABLE TRANSPORTATION PLANNING IN RUSSIAN CITIES: PESPECTIVES FOR STREET CLASSIFICATION AND URBAN STREET DESIGN by E. S. Prelovskaya, A. G. Levashev, A. U. Michaylov, B. Engel

“…The mixed-use development pattern of the city center is chosen as an experimental research site, because the  solution of the issues in the city center is one of the most complex task for  transportation planning. …”
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Deviations From Normative Functioning Underlying Emotional Episodic Memory Revealed Cross-Scale Neurodiverse Alterations Linked to Affective Symptoms in Distinct Psychiatric Disord... by Yang Xiao, Mingzhu Li, Xiao Zhang, Yuyanan Zhang, Yuqi Ge, Zhe Lu, Mengying Ma, Yuqing Song, Hao-Yang Tan, Dai Zhang, Weihua Yue, Hao Yan

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A hybrid approach to predicting and classifying dental impaction: integrating regularized regression and XG boost methods by Asok Mathew, Pradeep K. Yadalam, Ahmed Radeideh, Shrouk Hady, Rona Swed, Reyyan Cheema, Majd Mousa AL-Mohammad, Mohammed Alsaegh, SR Shetty

“…Advanced predictive models like logistic Regression and XGBoost analyze critical variables, identify patterns, and perform predictive analysis. These models can identify potential impactions, assess impaction type, and develop treatment plans. …”
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Machine learning aids in the discovery of efficient corrosion inhibitor molecules by Haiyan GONG, Lingwei MA, Dawei ZHANG

“…Specifically, ML models can extract key information and construct predictive models through feature extraction and pattern recognition using existing data. …”
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Analysis of Points of Interest in Hsinchu Old City Blocks Using Space Syntax by Shaofu Li

“…Modern cities’ grid patterns and straight roads connect various scenic spots. …”
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A Network Approach for Discovering Spatially Associated Objects by Changfeng Jing, Tao Liang, Yunlong Feng, Jianing Li, Sensen Wu, Jiale Ding, Gaoran Xu, Yang Hu

“…The WSTA can capture both spatial interaction patterns and topological relationships in complex urban environments, thereby improving the accuracy of spatially associated object discovery. …”
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Segmentation of Endothelial Cell Boundaries of Rabbit Aortic Images Using a Machine Learning Approach by Saadia Iftikhar, Andrew R. Bond, Asim I. Wagan, Peter D. Weinberg, Anil A. Bharath

“…The results obtained from the image segmentation technique developed here may be used for the study of shape and alignment of ECs, and hence patterns of blood flow, around arterial branches.…”
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Identifying Key Idiolect Markers in Sociolinguistic Profiling: A Scoping Review and Analytical Framework for Real-world Applications by Vitalii Shymko

“…Sociolinguistic profiling has emerged as a powerful tool for understanding individual language patterns and their applications in diverse contexts, including digital communication, forensic linguistics, and psychological analysis. …”
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The Kalhora Dynasty: A Period of Islamic Architecture, From the Early Throne to the Present. by Rabia Khaskheli, Mazhar Hussain Abbasi

“…Along with the history of the Kalhora rule, the various stages of development of mosques and tomb architecture are also discussed, along with the new architectural features added by the Kalhoras and other patterns much admired in Indian architecture. …”
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Citrus quality grading based on statistical complexity measurement and multifractal spectrum method by Cao Leping, Wen Zhiyuan

“…It can also make huge economic and social benefits and increase farmers income and agricultural productivity so as to promote the sustained and healthy development of the citrus industry.For the purpose of precise measurement of citrus quality grading, the complexity measurement of Bingtang orange defective fruit damaged by diseases and insect pest patterns were studied by machine recognition, along with the navel orange fruit perimeter-area fractal dimension and the shape, color grading and sugar acid nondestructive detection of section tone unit coordinates multifractal spectrum height and width.Physiological boron deficiency, Eriophyes oleivorus and rind oil spotting disease were very common in Bingtang orange fruits. …”
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Hybrid AE and Bi-LSTM-Aided Sparse Multipath Channel Estimation in OFDM Systems by Vijayakumar Kondepogu, Budhaditya Bhattacharyya

“…Traditional channel estimation methods, such as Least-Squares (LS), utilize randomly spaced pilot patterns, which can compromise spectral efficiency. …”
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Clinical prediction of intravenous immunoglobulin-resistant Kawasaki disease based on interpretable Transformer model. by Gahao Chen, Ziwei Yang

“…This framework enables probabilistic estimation of treatment resistance likelihood while providing transparent feature contribution analyses essential for developing patient-specific management protocols.…”
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Rebalancing polyamine levels to treat Snyder–Robinson syndrome by Susan K Gilmour

“…Inherited in an X‐linked recessive pattern, SRS has only been identified in males thus far. …”
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Alluvial Fan Fringe Reservoir Architecture Anatomy—A Case Study of the X4-X5 Section of the Xihepu Formation in the Kekeya Oilfield by Baiyi Zhang, Lixin Wang, Yanshu Yin

“…The study focuses on the spatial combination of microfacies units along the profile and their internal distribution patterns. Additionally, a quantitative analysis of the sizes of various types of sand bodies is conducted, constructing the sedimentary model for the region and revealing the control mechanisms of different sedimentary architectures on reservoir properties and oil and gas accumulation patterns. …”
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Multivariate analysis of energy and solar performance across Dubai: insights from MANOVA and cluster analysis by Mayyas Alsalman, Marwa Alraeesi, Ayman Alzaatreh

“…The study analyzed 93 community areas using hierarchal clustering Analysis and Multivariate Analysis of Variance to group and compare energy patterns. The clustering analysis identified three clustered groups that differ in building types and area, influencing energy consumption and solar energy generated, causing energy and solar pattern disparities. …”
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