Developments in Deep Learning Artificial Neural Network Techniques for Medical Image Analysis and Interpretation by Olamilekan Shobayo, Reza Saatchi

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Explainable machine learning-driven models for predicting Parkinson’s disease and its prognosis: obesity patterns associations and models development using NHANES 1999–2018 data... by Jiaxin Fan, Shuai Cao, Hang Peng, Yuanjie Zhi, Shuqin Zhan, Rui Li

“…We aimed to investigate the associations of obesity patterns on PD and all-cause mortality, while developing machine learning (ML)-driven predictive and prognostic models for PD. …”
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Assessing the impact of urban morphology on community resilience in sustainable urban development: A case study of the historic urban fabric of Kerman by Mohammad Dabdabeh, Yashar Gharachamani Asl, Amir Hossein Farahinia

“…The physical expansion of a city, when not properly aligned with its natural and historical structures, can lead to failures in urban development processes, particularly in cities with distinctive natural features. …”
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Controlled random tests with limited Hamming distance by V. N. Yarmolik, V. V. Petrovskaya, D. V. Demenkovets, V. A. Levantsevich

“…The main feature of the proposed approach is the use of the difference measure proposed by the authors based on determining the Hamming distance for test patterns consisting of symbols of different alphabets. …”
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Pearson Autocovariance Distinct Patterns and Attention-Based Deep Learning for Wind Power Prediction by W. G. Jency, J. E. Judith

“…Hence, timely wind power prediction is perceived as an extensive contribution to well-grounded wind power prediction with complex patterns. In addition, a number of wind power prediction methods have been developed. …”
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SP-GEM: Spatial Pattern-Aware Graph Embedding for Matching Multisource Road Networks by Chenghao Zheng, Yunfei Qiu, Jian Yang, Bianying Zhang, Zeyuan Li, Zhangxiang Lin, Xianglin Zhang, Yang Hou, Li Fang

“…Recent development of graph neural networks (GNNs) has demonstrated unsupervised modeling power on road network data, which learn the embedded vector representation of road networks through spatial feature induction and topology-based neighbor aggregation. …”
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Pattern recognition method for the identification of Daiqu large yellow croaker based on computer vision by YU Xinjie, WU Xiongfei, SHEN Weiliang

“…A pattern recognition method based on computer vision was developed for the identification of Daiqu large yellow croaker. …”
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Exploration on the Visual Design of Decorative Patterns in Tang Dynasty: Take the Demale Bag as an Example by Ke GAO, Fuquan DENG

“…As the inheritance carrier of incense culture, incense ware is the elegant supporter of the ancients. Its feature of distinctive decorative pattern is the typical representative of the aesthetic development of the Chinese nation. …”
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Linear pattern detection of building groups by integrating dynamic snake convolution with YOLO11 by Xiao Wang, Yue Wu, Longfei Cui, Haizhong Qian, Bohao Li, Xu Wang

“…This paper introduces the YOLO11 object detection model to achieve the detection of building groups with linear patterns by integrating the dynamic snake convolution (DSC) which is used to enhance the feature extraction capability. …”
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Assessing data and sample complexity in unmanned aerial vehicle imagery for agricultural pattern classification by Linara Arslanova, Sören Hese, Marcel Fölsch, Friedemann Scheibler, Christiane Schmullius

“…The study investigates the data and sample complexity required to develop an effective machine/deep learning (ML/DL) model, using techniques such as the Jeffries-Matusita Distance for assessment of class separability and feature importance ranking for feature and layer selection, semivariogram analysis for determining minimum sample patch sizes.The results demonstrate distinct classification capabilities based on spectral information in differentiating between sub-classes such as weed infestation, bare soil, disturbed canopy areas, and undisturbed canopy areas. …”
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Optimized Energy Consumption of Electric Vehicles with Driving Pattern Recognition for Real Driving Scenarios by Bedatri Moulik, Sanmukh Kaur, Muhammad Ijaz

“…In the approach, first, labels are defined based on statistical features related to speed followed by the creation of representative driving patterns (RDPs). …”
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Vegetation patterning can both impede and trigger critical transitions from savanna to grassland by Jelle van der Voort, Mara Baudena, Ehud Meron, Max Rietkerk, Arjen Doelman

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Thrombocytopenia in critically ill trauma patients is associated with the pattern and duration of postinjury organ dysfunction by Andrea Rossetto, Simon Kerner, Ella Ykema, Harriet E. Allan, Paul C. Armstrong, Elaine Cole, Paul Vulliamy

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Multiple programmed cell death patterns predict the prognosis and drug sensitivity in gastric cancer by Qiying Song, Shihe Liu, Di Wu, Aizhen Cai

“…LASSO cox regression method was used to screen feature genes and develop the PCD score (PCDS). Immune cell infiltration, immune checkpoint expression, Tumor Immune Dysfunction and Exclusion (TIDE) algorithm and drug sensitivity analysis were used to explore immunotherapy response. …”
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Design of Matching and Decoupling Networks With Radiation Pattern Control for Two-Element Antenna Arrays by Son Vu, Hung Luyen

“…We present an analytical approach for designing a matching and decoupling network (MDN) with radiation pattern control feature for two-element arrays. The antenna radiation pattern can be synthesized by formulating the S-matrix of the MDN to provide the desired excitation signals to the two antenna elements. …”
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Vegetation Succession Patterns at Sperry Glacier’s Foreland, Glacier National Park, MT, USA by Ami Bryant, Lynn M. Resler, Dianna Gielstra, Thomas Pingel

“…Plant colonization patterns on deglaciated terrain give insight into the factors influencing alpine ecosystem development. …”
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STRUCTURAL AND DYNAMIC DISTRIBUTION PATTERNS OF OIL FIELDS IN THE CENTRAL PART OF THE VOLGA-URAL ANTECLISE by S. Yu. Kolodyazhny, A. I. Nekrasov

“…Tectonical and development features of the central part of the Volga-Ural anteclise and the Sura-Kama (SK) shear zone are considered in connection with the distribution patterns of oil fields. …”
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Distribution patterns of gas content in Vorobyov deposits within the southern dip of the Buzuluk depression by D. D. Mikhalchenko, P. N. Strakhov, G. N. Potemkin, I. D. Loginov

“…Despite the relatively high level of knowledge, due to the complex structure and features of fluid dynamics, the development of mature deposits is accompanied by a number of challenges and remains relevant for further research.Aim. …”
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Intelligent pattern design using 3D modelling technology for urban sculpture designing by Wei Wan

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Is Arend Lijphart’s Pattern Still Valid? Political Parties, Interest Groups, Pluralism and Corporatism by Jacek Sroka

“…This may not completely undermine one of the important features that distinguish majoritarian and consensual patterns of democracy, but it should certainly encourage updating their analyses, assessments and predictions of further development trajectories. …”
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