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

“…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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A novel Swin transformer based framework for speech recognition for dysarthria by Rabbia Mahum, Ismaila Ganiyu, Lotfi Hidri, Ahmed M. El-Sherbeeny, Haseeb Hassan

“…Firstly, the speech is converted into mel-spectrograms to reflect the maximum patterns of voice signals. Despite the ST’s initial aim to effectively extract the local and global visual features, it still prioritizes global features. …”
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Imaging features and prognostic significance of immune checkpoint inhibitor–related pneumonitis in NSCLC by Xueqi Wang, Jingyi Yang, Jiahui E, Fan Liu, Qiliang Wang, Yuwei Zhang, Jing Wang, Ying Liu

“…Fifty-one patients (50.0%) were identified as having organizing pneumonia (OP) pattern, followed by nonspecific interstitial pneumonia (NSIP) pattern in 28 patients (27.4%), hypersensitivity pneumonitis (HP) pattern in 6 patients (5.9%), and diffuse alveolar damage (DAD) pattern in 2 patients (2.0%). …”
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Reconstructing coastal ponds functional classification: Integration of multi-feature remote sensing by Yijun Tong, Chen Lin, Ke Song, Tingchen Jiang, Ronghua Ma, Wenzhuo Cui, Danhua Ma, Jianchun Chen, Zhenxing Wang, Xiaofen Bai

“…Above all, the PWS classification system and data products developed in this study reveal the diverse relationships among “functional types-remote sensing features-geographical patterns” regarding PWS, implicating a crucial foundation for clarifying the ecological functional value of PWS and appropriate planning in the coastal zone.…”
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Power Quality Coupling Assessment Based on Data-Driven under Multiple Pollution Patterns by Jian ZHANG, Hao YU, Jianquan LIANG, Yue WANG, Heqian LIU

“…And then, a pattern distance measurement method is developed to implement pattern matching on the pattern features and to analyze the coupling of disturbance time series among nodes under different pollution patterns, thereby determining the interplay of disturbance among nodes. …”
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PATTERNS OF INTERACTION BETWEENGOVERNMENT AND NON-PROFIT ORGANIZATIONS IN THE CONTEXT OF CONFLCIT RESOLUTION IN MODERN RUSSIA by V. P. Miletskiy, I. S. Lysenko

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Effects of attention on the asymmetric serial dependences between form and motion patterns and their computational processes by Qian Sun, Qian Sun, Si-Yu Wang, Meng-Ying Sun, Fan-Huan You, Ping Ran, Qi Sun, Qi Sun

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

“…However, relying solely on trajectory features from individual cells may not always be sufficient to describe their overall motion patterns. …”
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Determining the suitability of using eye wrinkle patterns for the accurate identification of individual black rhinos by Felix Patton, Martin Jones

“…Eye wrinkle patterns have received little attention but were found to be useful when separating a large number of photographs of 19 captive rhinos particularly for distinguishing individual sub-adults where other features such as horn length and shape were very similar. …”
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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

“…Moreover, selection of these patterns needs security knowledge; generally, developers are not specialized in the domain of security knowledge. …”
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Triple‐Stimuli Responsive Soft Robots with Photo‐Programmable Ferriferous Oxide Particle Patterns by Siwei Hu, Kexing Li, Weijia Nong, Zhong‐Wen Liu, Zhao‐Tie Liu, Yanhu Zhan, Jinqiang Jiang, Peng Yang, Guo Li

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

“…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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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

“…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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Patch-Based Texture Feature Extraction Towards Improved Clinical Task Performance by Tao Lian, Chunyan Deng, Qianjin Feng

“…Texture features can capture microstructural patterns and tissue heterogeneity, playing a pivotal role in medical image analysis. …”
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Malicious software identification based on deep learning algorithms and API feature extraction by Wei Sun

“…This study contributes to the in-depth exploration of semantic information and behavioral patterns of application programming interface call sequences. …”
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Deep Learning with Dual-Channel Feature Fusion for Epileptic EEG Signal Classification by Bingbing Yu, Mingliang Zuo, Li Sui

“…However, the manual classification of these patterns is labor-intensive, time-consuming, and depends heavily on specialized expertise. …”
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XGBoost Algorithm for Cervical Cancer Risk Prediction: Multi-dimensional Feature Analysis by Sudi Suryadi, Masrizal

“…This performance profile indicates adept navigation of the delicate balance between missed diagnoses and unnecessary interventions. Feature importance analysis revealed a multifaceted risk landscape, where screening test results contributed substantial predictive power (approximately 60%), complemented by demographic and behavioral factors, including age, reproductive history, and contraceptive usage patterns. …”
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Unsupervised feature selection based on generalized regression model with linear discriminant constraints by Xiangguang Dai, Mingyu Guan, Facheng Dai, Wei Zhang, Tingji Zhang, Hangjun Che, Xiangqin Dai

“…Benefited from this, the relationships and patterns within the high-dimensional data are retained in the reduced-dimensional feature space. …”
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Distributed Photovoltaic Communication Anomaly Detection Based on Spatiotemporal Feature Collaborative Modeling by Li Di, Zhuo Lv, Hao Chang, Junfei Cai

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N6-methyladenine identification using deep learning and discriminative feature integration by Salman Khan, Islam Uddin, Sumaiya Noor, Salman A. AlQahtani, Nijad Ahmad

“…In this study, we present Deep-N6mA, a novel Deep Neural Network (DNN) model incorporating optimal hybrid features for precise 6 mA site identification. The proposed framework captures complex patterns from DNA sequences through a comprehensive feature extraction process, leveraging k-mer, Dinucleotide-based Cross Covariance (DCC), Trinucleotide-based Auto Covariance (TAC), Pseudo Single Nucleotide Composition (PseSNC), Pseudo Dinucleotide Composition (PseDNC), and Pseudo Trinucleotide Composition (PseTNC). …”
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