Combining the SHAP Method and Machine Learning Algorithm for Desert Type Extraction and Change Analysis on the Qinghai–Tibetan Plateau by Ruijie Lu, Shulin Liu, Hanchen Duan, Wenping Kang, Ying Zhi

“…For regional desertification control and sustainable development, it is critical to quickly and accurately understand the distribution pattern and spatial and temporal changes of deserts. …”
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Damage Identification Using Measured and Simulated Guided Wave Damage Interaction Coefficients Predicted Ad Hoc by Deep Neural Networks by Christoph Humer, Simon Höll, Martin Schagerl

“…This technique employs the so-called wave damage interaction coefficients (WDICs) as highly sensitive damage features that describe the unique scattering pattern around possible damage. …”
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Early detection of risky spatio-temporal congestion in urban traffic by Shaobo Sui, Dan Xu, Mingyang Bai, Xiaoke Zhang, Zhaojun Mao, Daqing Li

“…However, large-scale congestion in city exhibits an unique spatio-temporal growth pattern. In this article, we develop a detection method for risky congestion based on its spatio-temporal evolution feature, which can detect risky spatio-temporal congestion clusters (SCCs) when they are small. …”
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Environmental Responsibility, Active Social Learning, and Political Action by David Hayes

“…Links will be made throughout between environmental issues, economic development and social and environmental justice. Another key feature of Green Criminology is the way in which it seeks to align with environmental activism, and an account will be given here of ethnographic research into a contemporary environmental protest movement, the 'anti-fracking' movement. …”
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Self-staging on the Himalayan trails: online storytelling videos as a medium for young Nepalese people to discover trekking by Pierre Dérioz, Philippe Bachimon, Pranil Kumar Upadhayaya

“…Combined, they have become a common feature of contemporary ‘connected’ tourism, a major producer and consumer of images. …”
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Hybrid mechanism‐data‐driven iron loss modelling for permanent magnet synchronous motors considering multiphysics coupling effects by Lin Liu, Wenliang Yin, Youguang Guo

“…Purely mechanistic models require detailed theoretical knowledge and exact parameters, often struggling to accurately describe complex systems, while purely data‐driven methods lack interpretability, which are susceptible to data noise and outliers in feature extraction and complicated pattern recognition. …”
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The Interval Slope Method for Long-Term Forecasting of Stock Price Trends by Chun-xue Nie, Xue-bo Jin

“…The exponentially segmented pattern (ESP) is introduced here and used to predict the fluctuation of different stock data over five future prediction intervals. …”
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Visual design element recognition of garment based on multi-view image fusion by Meng Fanyu

“…This clothing style recognition aids in predicting clothes' features and patterns, which aids in classifying them using efficient feature extraction and classification models such as Convolutional Neural Network (CNN). …”
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The Concept of Sustainable Mobility in Modern Megacities by D. V. Zavyalov

“…The most urgent is to redesign the existing mobility patterns to achieve the environmental goals, the higher quality of life of city residents, the engagement of different stakeholders in sustainable mobility development.…”
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Problems on the conceptualization of the contemporary city by Wiesław Maik

“…Radical changes in urban studies are determined by three factors: the need to work out new conceptualizations and analytical tools, criticism and revision of the current knowledge as well as generational changes in the community of researchers. A characteristic feature and a development factor of urban studies is the plurality of theoretical and methodological approaches. …”
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Analysis of software defined security model and architecture by Chunmei GUO, Jun MA, Hao GUO, Xueyao BI, Ruhui ZHANG, Shaomin ZHU, Congyi YANG

“…Currently,most enterprises have deployed information security defense system based on policy access control.With cloud computing environment deployment and network attacking technology development,security has been regarded as one of the greatest problems in the cloud computing environment.The advanced persistent attacks including of bypassing the traditional firewall easily,breaking through the black and white list and feature matching of the security defense mechanism have included to the traditional security system new challenges.The problem in the traditional tightly coupled security defense system of combining the virtual with the true for construction of network environments was described,and a software defined security model and framework was provided.The decoupling scheme of access patterns and deployment position in combining the virtual with the true for construction of network environments was realized,which provided a beneficial exploration in the field of the adaptive active safety for enterprise cloud computing environment.…”
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Cognitive motivation in English complex intensifying adjectives by Silvia Cacchiani

“…Working on the assumption of parallel conceptualizations for intensifying phrases and word-formations, the chapter argues for three broad mechanisms of intensification in line with research on patterns of intensification in phrasal constructs: a degree type (all-new), a semantic-feature-copying type (snow-white, freezing cold), and a type where intensification relies on the integration of scales which associate with lexical meanings typically located in different knowledge domains (red hot and roaring drunk).…”
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Modeling Stock Price Changes Based on Microstructural Market Data by N. A.  Bilev

“…This paper describes the entire process of trading system development including feature engineering, models behavior comparison and creation of trading strategy with testing on historical data.…”
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An Inverted Transformer Framework for Aviation Trajectory Prediction with Multi-Flight Mode Fusion by Gaoyong Lu, Yang Ou, Wei Li, Xinyu Zeng, Ziyang Zhang, Dongcheng Huang, Igor Kotenko

“…Moreover, the integration of multi-flight data enables the model to learn more comprehensive flight patterns, leading to robust performance across varying flight conditions. …”
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A comparative evaluation of dermatoglyphics in different classes of malocclusion by Garima Jindal, Ramesh Kumar Pandey, Sameer Gupta, Meera Sandhu

“…Finger and palm prints were collected, and fingertip pattern frequencies, total ridge counts (TRCs), and atd angles (formed by the triradii below the first and last digits and that in the hypothenar region of the palm) were calculated. …”
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Experimental study on seepage characteristics model of tunnel lining based on infrared imaging by Zhijian Wu, Hua Wu, Yichen Peng, Renjie Song, Yimin Wu, Haiping Wu, Guangzheng Zhuang

“…Most previous studies have focused primarily on the geometric characteristics of seepage areas, while the relationships between these geometric features and other influencing factors, as well as the development of quantitative indicators within infrared signatures for rapid crack pattern identification, have not been systematically explored. …”
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Contextual information based anomaly detection for multi-scene aerial videos by Girisha S, Ujjwal Verma, Manohara M M. Pai, Radhika M. Pai

“…Additionally, temporal and appearance features are extracted to handle the complexities of dynamic videos, enabling the system to recognize motion patterns and visual inconsistencies over time. …”
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Deep learning driven prediction and comparative study of surrounding rock deformation in high speed railway tunnels by Zeping Yang, Zhikai Cheng, Da Wu

“…Using 300-hour continuous deformation records from multiple cross-sections of the G Tunnel (March 2023), a novel WOA-CNN-GRU model is developed, integrating data preprocessing, feature extraction, and prediction. …”
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A Scene–Object–Economy Framework for Identifying and Validating Urban–Rural Fringe Using Multisource Geospatial Big Data by Ganmin Yin, Ying Feng, Yanxiao Jiang, Yi Bao

“…Furthermore, the integration of dynamic population data as a separate layer of analysis offers a unique perspective on population distribution patterns within the identified fringes. This research contributes to the field by offering a more robust and objective approach to urban–rural fringe identification, laying the groundwork for improved urban management and sustainable development strategies. …”
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Semi-Automatic Integrated Segmentation Approaches and Contour Extraction Applied to Computed Tomography Scan Images by B. Dhalila S. Y. Khoodoruth, Harry C. S. Rughooputh, Wilfrid Lefer

“…In this article, we also develop a new methodology for a computational pipeline that uses bilateral filtering, diffusion properties, watershed, and filtering with mathematical morphology operators for the contour extraction of the lesion in the feature available based mainly on the gradient function. …”
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