BCTDNet: Building Change-Type Detection Networks with the Segment Anything Model in Remote Sensing Images by Wei Zhang, Jinsong Li, Shuaipeng Wang, Jianhua Wan

“…We first construct a dual-feature interaction encoder that employs SAM to extract image features, which are then refined through trainable multi-scale adapters for learning architectural structures and semantic patterns. …”
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Modeling of spatial spread of COVID-19 pandemic waves in Russia using a kinetic-advection model by V. V. Aristov, A. V. Stroganov, A. D. Yastrebov

“…The aim of the present work is to construct a mathematical model for the spread of the pandemic and identify patterns under the assumption that Moscow comprises the main source of viral infection in Russia. …”
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A hybrid fusion of wireless signals and RGB image for indoor positioning by Jichao Jiao, Fei Li, Weihua Tang, Zhongliang Deng, Jichang Cao

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Vehicle recognition in acoustic sensor networks using multiple kernel sparse representation over learned dictionaries by Rui Wang, Wenming Cao, Zhihai He

“…Sparse representation–based classification and kernel methods have emerged as important methods for pattern recognition. In this work, we study the problem of vehicle recognition using acoustic sensor networks in real-world applications. …”
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Spatial–temporal evolution and associated factors of older adult care institutions in Shanghai by Xingxing Yin, Jinghang Cui, Yifan Wu, Mingxuan Cui, Kun Li, Haoxiang Guo

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La topographie selon Ruskin : saillance du visible et du lisible dans Modern Painters by Laurence Roussillon-Constanty

“…As contemporary critics have shown, John Ruskin’s lifelong interest in geology not only provided him with a unique understanding of the mountain as a painting subject but also allowed him to develop an idiosyncratic theory of perception where movement and salience prevail – a theory he then applied to his often memorable prose.At first sight, salience is one feature of landscape that one can easily visually apprehend but much less easily account for in prose writing. …”
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Of Ruskinian Topography: Visible and Legible Salience in Modern Painters by Laurence Roussillon-Constanty

“…At first sight, salience is one feature of landscape that one can easily visually apprehend but much less easily account for in prose writing. …”
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RESULTS OF THE TECTONOPHYSICAL STUDY IN THE DZHANKHOT THRUST ZONE (NORTHWESTERN CAUCASUS) by A. V. Marinin, T. Yu. Tveritinova

“…The relevance of the research topic is found on the reason that despite the obvious importance of these overthrust nappes in the structure of the Greater Caucasus there is still lack of in-situ observational data on the detailed structure of thrust zones and on tectonic stress distribution pattern therein.As a result of the structural and geological studies of small disjunctive and plicative forms in the Upper Cretaceous and Paleocene sediment contact along the Dzhankhot thrust, there were identified the major structural and tectonic deformation patterns and the areal distribution of tectonic deformations depending on the distance to the thrust. …”
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Canalization of gene expression and domain shifts in the Drosophila blastoderm by dynamical attractors. by Manu, Svetlana Surkova, Alexander V Spirov, Vitaly V Gursky, Hilde Janssens, Ah-Ram Kim, Ovidiu Radulescu, Carlos E Vanario-Alonso, David H Sharp, Maria Samsonova, John Reinitz

“…Our analysis shows that the complex phenomena of canalization and pattern formation in the Drosophila blastoderm can be understood in terms of the qualitative features of the dynamical system. …”
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Integrated deep network model with multi-head twofold attention for drug–target interaction prediction by Angelin Jeba P, Tamilpavai G

“…The MHTA mechanism enhances the model’s ability to focus on different aspects of drug and target features independently, effectively capturing intricate interaction patterns. …”
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Ensemble Voting for Enhanced Robustness in DarkNet Traffic Detection by Varun Shinde, Kartik Singhal, Ahmad Almogren, Vineet Dhanawat, Vishal Karande, Ateeq Ur Rehman

“…This clearly indicates the strength of ensemble methods in handling a diverse set of patterns and raising the ability to classify, which is an important lesson for the further development of research in machine learning and models.…”
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MetaTrans-FSTSF: A Transformer-Based Meta-Learning Framework for Few-Shot Time Series Forecasting in Flood Prediction by Jiange Jiang, Chen Chen, Anna Lackinger, Huimin Li, Wan Li, Qingqi Pei, Schahram Dustdar

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An Explainable Machine Learning Model for Predicting Macroseismic Intensity for Emergency Management by Federico Mori, Giuseppe Naso

“…Predicting macroseismic intensity from instrumental ground motion parameters remains a complex task due to the nonlinear relationship with observed damage patterns. An explainable machine learning model based on the XGBoost algorithm was developed to address the challenge. …”
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Classification Model for Bot-IoT Attack Detection Using Correlation and Analysis of Variance by Firgiawan Faira, Dandy Pramana Hostiadi

“…Feature selection using the ANOVA method identified 10 key features from a total of 17: seq, stddev, N_IN_Conn_P_SrcIP, min, state_number, mean, N_IN_Conn_P_DstIP, drate, srate, and max. …”
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Cross-Modal Complementarity Learning for Fish Feeding Intensity Recognition via Audio–Visual Fusion by Jian Li, Yanan Wei, Wenkai Ma, Tan Wang

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Bangla Character Detection Using Enhanced YOLOv11 Models: A Deep Learning Approach by Mahbuba Aktar, Nur Islam, Chaoyu Yang

“…A key limitation lies in the absence of robust detection frameworks capable of accommodating the script’s complex visual patterns and nuances. To address this gap, we propose an enhanced object detection model based on the YOLOv11 architecture, incorporating a ResNet50 backbone for improved feature extraction. …”
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Client aware adaptive federated learning using UCB-based reinforcement for people re-identification by Dinah Waref, Yomna Alayary, Nadeen Fathallah, Mohamed A. Abd El Ghany, Mohammed A.-M. Salem

“…Finally, we introduce a feature-level attention mechanism focusing on discriminative features for re-identification. …”
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Mentality in the Context of Interaction Between Social and Virtual Reality by Yulia V. Gavrilova

“…A feature of the modern world is the integration of social and virtual realities: the area of their correlation is being formed, in which the processes of human life activity take place. …”
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Wildlife management of German colonists in the Don Army region by D. Yu. Shishkina

“…The history of the use of natural resources by the German colonists is considered. Development of the settling system is analyzed, main features of natural resources use and patterns of their evolution are studied.…”
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Transforming physical fitness and exercise behaviors in adolescent health using a life log sharing model by Shanshan Wang, Jingwu Liu

“…Temporal features were identified as crucial for detecting recurring behavioral trends and periodic exercise patterns.DiscussionThese findings demonstrate the efficacy of integrating multimodal life log data with deep learning for accurate physical activity classification. …”
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