Morphological characterization of Mycobacterium tuberculosis in a MODS culture for an automatic diagnostics through pattern recognition. by Alicia Alva, Fredy Aquino, Robert H Gilman, Carlos Olivares, David Requena, Andrés H Gutiérrez, Luz Caviedes, Jorge Coronel, Sandra Larson, Patricia Sheen, David A J Moore, Mirko Zimic

“…The algorithm using image processing, feature extraction and pattern recognition determined geometrical and illumination features used in an object-model and a photo-model to classify TB-positive images. 765 MODS digital photos were processed. …”
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Dynamic changes and prediction of land-use patterns in a typical area for rocky desertification control by Xu Sang, Caili Sun, Zongzheng Chai

“…This land-use change will be the main feature of future LUCC, safeguarding food security and enhancing ecological quality.DiscussionIn conclusion, rocky desertification control efforts from 1990 to 2020 have profoundly impacted Bijie City’s land-use patterns. …”
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From genes to patterns: a framework for modeling the emergence of embryonic development from transcriptional regulation by Jimena Garcia-Guillen, Ezzat El-Sherif

“…To facilitate understanding and application of our models, we accompany our mathematical framework with computer simulations, providing intuitive and simple code for each model. A key feature of our framework is the explicit articulation of underlying assumptions at each level of the model, from transcriptional regulation to tissue patterning. …”
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Exploiting adaptive neuro-fuzzy inference systems for cognitive patterns in multimodal brain signal analysis by T. Thamaraimanalan, Dhanalakshmi Gopal, S. Vignesh, K Kishore kumar

“…Abstract The analysis of cognitive patterns through brain signals offers critical insights into human cognition, including perception, attention, memory, and decision-making. …”
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SLEEP-SAFE: Self-Supervised Learning for Estimating Electroencephalogram Patterns With Structural Analysis of Fatigue Evidence by Wonjun Ko, Jeongwon Choe, Jonggu Kang

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Adaptive Robust Low-Beam Feature Point Detection Algorithm Based on Convex Hull by Qiqi Shen, Jie Wu

“…It is designed to be applicable to the detection of feature points in “two-segment,” “three-segment,” and “five-segment” low-beam light patterns. …”
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Spatial Identification and Distribution Pattern of the Complexity of Rural Poverty in China Using Multisource Spatial Data by Zhenyu Qi, Jinghu Pan, Yaya Feng

“…At the same time, the flexible spatial scanning detection method was used to detect the differentiation mechanism of poverty spatial patterns.…”
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Evaluating the feasibility of using crystalline patterns induced by PBF-LB to predict strength enhancing orientations by José David Pérez-Ruiz, Luis Norberto López de Lacalle, Wilmer Velilla-Díaz, Jaime A. Mesa, Gaizka Gómez, Heriberto Maury, Gorka Urbikain, Haizea Gonzalez

“…The continuous advancement of Laser Powder Bed Fusion (PBF-LB) has expanded the possibilities of additive manufacturing, particularly in producing complex geometries. A distinctive feature of the PBF-LB process is its capacity to develop crystalline patterns, which can be utilized to predict strength-enhancing orientations of the produced components. …”
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Prediction of Vanadium Contamination Distribution Pattern Through Remote Sensing Image Fusion and Machine Learning by Zipeng Zhao, Yuman Sun, Weiwei Jia, Jinyan Yang, Fan Wang

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Classification of SD-OCT Volumes Using Local Binary Patterns: Experimental Validation for DME Detection by Guillaume Lemaître, Mojdeh Rastgoo, Joan Massich, Carol Y. Cheung, Tien Y. Wong, Ecosse Lamoureux, Dan Milea, Fabrice Mériaudeau, Désiré Sidibé

“…Our method considers combination of various preprocessing steps in conjunction with Local Binary Patterns (LBP) features and different mapping strategies. …”
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Evolution and Motivation of the Value-Added Trade Pattern of Producer Services Based on a Complex Network by Yan Li, Xuehan Liang, Sizhe Guan, Qingbo Huang

“…The value chain of producer services shows a pattern of being led by developed countries and extending to developing countries. (3) The broader tendency of modularity is decreasing, indicating that the development process of the DVA and FVA networks is becoming globalized. …”
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A Machine Learning Framework for Classroom EEG Recording Classification: Unveiling Learning-Style Patterns by Rajamanickam Yuvaraj, Shivam Chadha, A. Amalin Prince, M. Murugappan, Md. Sakib Bin Islam, Md. Shaheenur Islam Sumon, Muhammad E. H. Chowdhury

“…<i>Results:</i> The findings revealed that statistical features are the most sensitive feature metric in distinguishing learning patterns from EEG. …”
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Clinico-epidemiology and resistance patterns of community-acquired and hospital-acquired staphylococcus aureus sepsis in children by Sahar Siddiqui, Mohd Suhail Lone, Umar Amin Qureshi, Rayees Khanday

“…Localized musculoskeletal symptoms were a prominent feature, present in 91.9% of patients (P ≤ 0.05). …”
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Seasonality and mycobacterial infectious diseases in animals and humans: is there a generality of seasonal patterns for mycobacterial infections? by Carlos Adrian Vargas Campos, Christine Chevillon, Ahmadou Sylla, Magdalene Dogbe, Kayla M. Fast, Jennifer Pechal, Alex Rakestraw, Matthew E. Scott, Michael W. Sandel, Heather Jordan, M. Eric Benbow, Jean-François Guégan

“…Conclusion Seasonality appears to be a common yet understudied feature of many mycobacterial infections. Greater interdisciplinary collaboration and the use of appropriate analytical tools are essential to better understand these patterns, especially in underrepresented regions. …”
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Decoding Rhetoric: Theoretical and Methodological Substantiation of the Scientific Direction by L. A. Golyshkina

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A Localization Method for UAV Aerial Images Based on Semantic Topological Feature Matching by Jing He, Qian Wu

“…In order to address the problem of Unmanned Aerial Vehicles (UAVs) being difficult to locate in environments without Global Navigation Satellite System (GNSS) signals or with weak signals, this paper proposes a localization method for UAV aerial images based on semantic topological feature matching. Unlike traditional scene matching methods that rely on image-to-image matching technology, this approach uses semantic segmentation and the extraction of image topology feature vectors to represent images as patterns containing semantic visual references and the relative topological positions between these visual references. …”
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A Closest Resemblance Classifier with Feature Interval Learning and Outranking Measures for Improved Performance by Nabil Belacel

“…These intervals capture key patterns, enhancing adaptability and insight. To improve robustness, we incorporate outranking measures, which reduce the impact of noise and uncertainty through pairwise comparisons of alternatives across features. …”
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Diabetes Mellitus Disease Prediction Using Machine Learning Classifiers with Oversampling and Feature Augmentation by B. Shamreen Ahamed, Meenakshi S. Arya, Auxilia Osvin V. Nancy

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Multi-scale feature pyramid network with bidirectional attention for efficient mural image classification. by Shulan Wang, Siyu Liu, Mengting Jin, Pingmei Fan

“…First, a lightweight Feature Pyramid Network (FPN) is embedded into DenseNet201 to fuse multi-scale texture features (28 × 28 × 256, 14 × 14 × 512, 7 × 7 × 1024). …”
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State-and-Evolution Detection Model for Characterizing Farmland Spatial Pattern Variation in Hengyang Using Long Time Series Remote Sensing Product by Yunong Ma, Shi Cao, Xia Lu, Jiqing Peng, Lina Ping, Xiang Fan, Xiongwei Guan, Xiangnan Liu, Meiling Liu

“…Finally, spatiotemporal evolution features, namely evolution times, evolution duration, and dominant evolution pattern, were quantified. …”
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