Showing 161 - 180 results of 2,894 for search 'features development (pattern OR patterns)', query time: 0.19s Refine Results
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    Text Categorization Approach for Secure Design Pattern Selection Using Software Requirement Specification by Ishfaq Ali, Muhammad Asif, Muhammad Shahbaz, Adnan Khalid, Mariam Rehman, Aziz Guergachi

    Published 2018-01-01
    “…Moreover, selection of these patterns needs security knowledge; generally, developers are not specialized in the domain of security knowledge. …”
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    Article
  3. 163

    Enhancing market trend prediction using convolutional neural networks on Japanese candlestick patterns by Edrees Ramadan Mersal, Kürşat Mustafa Karaoğlan, Hakan Kutucu

    Published 2025-02-01
    “…Following the data preparation and analysis phases, a CNN model was developed to extract features from sub-charts and facilitate precise predictions effectively. …”
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    Article
  4. 164

    Representing particles’ motion patterns in microfluidic imaging platform using deep variational embeddings by Tianqi Hong, Meimei Peng, Marek Smieja, Qiyin Fang

    Published 2025-01-01
    “…However, relying solely on trajectory features from individual cells may not always be sufficient to describe their overall motion patterns. …”
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    Article
  5. 165

    Strategies for Construction and Optimization of the Ecological Security Pattern for Human Settlements in the Wuding River Basin by Xiaomeng WANG, Anrong DANG, Biao TONG, Xinyi LIU

    Published 2025-04-01
    “…This research aims to develop an ecological security pattern for human settlements in the Wuding River Basin, while identifying critical ecological resources, corridors, and key restoration nodes essential for biodiversity conservation. …”
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    Article
  6. 166

    LeafLaminaMap: Exploring Leaf Color Patterns Using RGB Color Indices by Péter Bodor-Pesti, Lien Le Phuong Nguyen, Thanh Ba Nguyen, Mai Sao Dam, Dóra Taranyi, László Baranyai

    Published 2025-02-01
    “…The case study showed that the LeafLaminaMap software is an effective environment for the leaf lamina color pattern analysis; moreover, the results underline that energy and entropy are valuable features and could be more effective than the mean and standard deviation of the color properties.…”
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    Article
  7. 167

    Exploration on the Visual Design of Decorative Patterns in Tang Dynasty: Take the Demale Bag as an Example by Ke GAO, Fuquan DENG

    Published 2025-04-01
    “…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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  8. 168

    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

    Published 2025-12-01
    “…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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    Rethinking the regulations and development patterns of villages connected to the city; approaches based on generic codes at macro level(Case study: Perjikola and Bala lamouk villag... by Hadi pendar

    Published 2018-09-01
    “…But the principles guiding the morphological identity of the settlements in the current developments have not been able to continue.  In the meantime, many villages have gradually become part of the urban areas, heavily influenced by urban development patterns and are losing their special identity. …”
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    Article
  12. 172

    Development and validation of a machine learning model for predicting vulnerable carotid plaques using routine blood biomarkers and derived indicators: insights into sex-related ri... by Yimin E, Zhichao Yao, Maolin Ge, Guijun Huo, Jian Huang, Yao Tang, Zhanao Liu, Ziyi Tan, Yuqi Zeng, Junjie Cao, Dayong Zhou

    Published 2025-08-01
    “…Abstract Background Early detection of vulnerable carotid plaques is critical for stroke prevention. This study aimed to develop a machine learning model based on routine blood tests and derived indices to predict plaque vulnerability and assess sex-specific risk patterns across biomarker value ranges. …”
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    Article
  13. 173

    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

    Published 2025-03-01
    “…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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  14. 174

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

    Published 2025-02-01
    “…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

    Published 2025-01-01
    “…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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  17. 177

    Tool Wear Monitoring Technology and Its Application in Heavy Cutting by CHENG Yao-nan, DING Ya, GAI Xiao-yu, GUAN Rui, MA Chun-jie

    Published 2022-02-01
    “…In order to discuss the tool wear monitoring technology and its application in heavy cutting, taking the common cutting tool wear monitoring as the research object, the most widely used and emerging key technologies, methods and principles in tool wear monitoring are deeply analyzed from the aspects of signal acquisition, feature processing, pattern recognition and decision control.Their advantages and disadvantages are analyzed in detail.Then the application of tool wear monitoring in heavy cutting are explained and analyzed.The achievements and progress made by domestic and foreign scholars in the field of tool wear monitoring are described, and the future development trend is prospected. …”
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  18. 178

    An interpretable deep learning framework for medical diagnosis using spectrogram analysis by Shagufta Henna, Juan Miguel Lopez Alcaraz, Upaka Rathnayake, Mohamed Amjath

    Published 2025-12-01
    “…In contrast, the custom CNN model exhibits more coherent and class-specific activation patterns, offering improved localization of diagnostically relevant features.…”
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