Simplicial complexes in network intrusion profiling: pattern construction through simplicial centralities by Mandala von Westenholz, Martin Atzmueller, Tim Römer

“…Abstract For studying intrusion detection data we consider data points referring to individual IP addresses and their connections. …”
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Performance Evaluation of YOLOv11 and YOLOv12 Deep Learning Architectures for Automated Detection and Classification of Immature Macauba (<i>Acrocomia aculeata</i>) Fruits by David Ribeiro, Dennis Tavares, Eduardo Tiradentes, Fabio Santos, Demostenes Rodriguez

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Genetic Dissection of the Powdery Mildew Resistance in a Cultivated Emmer Wheat Accession by Ruishan Liu, Yuli Jin, Ningning Yu, Hongxing Xu, Xusheng Sun, Jiangchun Wang, Xueqing Liu, Jiadong Zhang, Jiatong Li, Yaoxue Li, Pengtao Ma

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Intelligent Pattern Recognition Using Distributed Fiber Optic Sensors for Smart Environment by Brian Pamukti, Shofuro Afifah, Shien-Kuei Liaw, Jiun-Yu Sung, Daping Chu

“…We propose an innovative interferometric sensing approach utilizing a Mach–Zehnder interferometer (MZI) combined with a time forest neural network (TFNN) for intrusion detection based on signal patterns. This method leverages advanced sensor characterization techniques and deep learning to improve accuracy and efficiency. …”
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Frequency and susceptibility pattern of metallo-beta-lactamase producers in a hospital in Pakistan by Fatima Kaleem, Javaid Usman, Afreenish Hassan, Aslam Khan

“…Methodology: This descriptive study was conducted between January and August 2009 in the department of Microbiology, Army Medical College, National University of Sciences and Technology, Rawalpindi, to determine the frequency and susceptibility patterns of MBL-producers among carbapenem-resistant Gram-negative rods (GNRs) from clinical isolates of a tertiary care hospital. …”
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An Improved Hashing Approach for Biological Sequence to Solve Exact Pattern Matching Problems by Prince Mahmud, Anisur Rahman, Kamrul Hasan Talukder

“…Pattern matching algorithms have gained a lot of importance in computer science, primarily because they are used in various domains such as computational biology, video retrieval, intrusion detection systems, and fraud detection. …”
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Cytological pattern of cervical pap smears in a teaching hospital in southern Nigeria by Abasiattai AA, Nwafor CC, Tobin EA, Utuk NM

“…Aim: To determine the prevalence and pattern of cervical cytological abnormalities in the University of Uyo Teaching Hospital, Nigeria. …”
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Patterns of concomitant traumatic brain injury and ocular trauma in US service members by Weidong Gu, Lucas L Groves, Scott F McClellan

“…The aim of this study is to identify concomitant TBI in OT patients and characterize the pattern of those injured service members (SMs) in non-combat environments to assist in the early detection and treatment of both TBI and OT.Methods Encounters matching the case definitions of TBI and OT for injured SMs were extracted from the Military Health System. …”
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Pattern transition recognition based on transfer learning for exoskeleton across different terrains by Yifan Gao, Jianbin Zheng, Yang Gao, Ziyao Chen, Jing Tang, Liping Huang

“…The accuracy of pattern transition detection reaches 97.46%, 97.62%, and 98.21% in M0, M20, and M40, respectively. …”
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Clinician and Visitor Activity Patterns in an Intensive Care Unit Room: A Study to Examine How Ambient Monitoring Can Inform the Measurement of Delirium Severity and Escalation of... by Keivan Nalaie, Vitaly Herasevich, Laura M. Heier, Brian W. Pickering, Daniel Diedrich, Heidi Lindroth

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CLINICAL DIAGNOSTIC VALUE OF OBSCURE ELECTROENCEPHALOGRAPHIC PATTERN "BROAD SHARP WAVE" IN CHILDREN by I. G. Kovalev, I. L. Stepanishhev, V. P. Zykov, T. A. Voronina

“…Results. Broad sharp wave pattern (BSW) was detected in 31 (12.7%) patient's routine EEG of 244 collected during the calendar year. …”
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Bochun: Automatically annotated stance detection dataset for Sorani Kurdish language(Mendeley Data). by Payman Sabr Rostam, Rebwar Mala Nabi

Subjects: “…Stance detection…”
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Credibility-Adjusted Data-Conscious Clustering Method for Robust EEG Signal Analysis by Fatemeh Divan, Teh Ying Wah, Kheng Seang Lim, Ali Seyed Shirkhorshidi

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Network analysis of comorbidity patterns in heart failure patients using administrative data by Francesca Ieva, Daniele Bitonti

“…Conclusions: Network analysis can be a useful tool in epidemiologic framework when relational data are the objective of the investigation, since it allows to visualize and make inference on patterns of association among nodes (here HF comorbidities) by means of both qualitative indexes and clustering techniques.…”
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A new split based searching for exact pattern matching for natural texts. by Saqib Hakak, Saqib Hakak, Amirrudin Kamsin, Palaiahnakote Shivakumara, Mohd Yamani Idna Idris, Gulshan Amin Gilkar

“…Exact pattern matching algorithms are popular and used widely in several applications, such as molecular biology, text processing, image processing, web search engines, network intrusion detection systems and operating systems. …”
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An interactive platform for the analysis of landscape patterns: a cloud-based parallel approach by Jing Deng, Michael R. Desjardins, Eric M. Delmelle

“…The common approach to detect changes in landscape patterns is to evaluate the spatial and temporal variation of well known, established metrics. …”
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Cross-attention swin-transformer for detailed segmentation of ancient architectural color patterns by Lv Yongyin, Yu Caixia

“…IntroductionSegmentation tasks in computer vision play a crucial role in various applications, ranging from object detection to medical imaging and cultural heritage preservation. …”
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The Aging Lung: Exploring Multimorbidity Patterns and Their Clinical Implications: A Narrative Review by Ali Albarrati, Nichola S. Gale

“…In this review, we explore the biological mechanisms linking aging, multiple chronic conditions patterns, and chronic lung disease, with a particular focus on inflammaging and cellular aging. …”
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A Micrology of Pattern Recognition in Philip K. Dick’s A Scanner Darkly by Berkay Üstün

“…Organized around the unifying problem of pattern recognition, the article clarifies the deep congruence that exists between the seemingly unrelated imaginary technologies of the novel, used on both sides of the central demarcation that divides the identity of its protagonist: law enforcement and the trade in controlled substances. …”
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Identifying patterns differing between high-dimensional datasets with generalized contrastive PCA. by Eliezyer Fermino de Oliveira, Pranjal Garg, Jens Hjerling-Leffler, Renata Batista-Brito, Lucas Sjulson

“…High-dimensional data have become ubiquitous in the biological sciences, and it is often desirable to compare two datasets collected under different experimental conditions to extract low-dimensional patterns enriched in one condition. However, traditional dimensionality reduction techniques cannot accomplish this because they operate on only one dataset. …”
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