Unified Dynamic Dictionary and Projection Optimization With Full-Rank Representation for Hyperspectral Anomaly Detection by Hongran Li, Chao Wei, Yizhou Yang, Zhaoman Zhong, Ming Xu, Dongqing Yuan

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On the Perspectives of Image-to-Lidar Constraints in Dynamic Network Optimisation by K. Mouzakidou, T. Stoltz, L. V. Jospin, D. A. Cucci, J. Skaloud

“…We conclude that although the introduction of such camera-to-lidar constraints has significant potential, none of the studied machine learning networks can fulfill the requirement on correspondence detection in terms of quality.…”
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DOE: a dynamic object elimination scheme based on geometric and semantic constraints by Yanli Liu, Siyi Chen, Heng Zhang, Neal N. Xiong, Wei Liang

“…In this paper, we propose a dynamic object elimination algorithm that combines semantic and geometric constraints to address the problem of visual SLAM being easily affected by dynamic feature points in dynamic environments. …”
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Hints of Disk Substructure in the First Brown Dwarf with a Dynamical Mass Constraint by Alejandro Santamaría-Miranda, Pietro Curone, Laura Pérez, Nicolas T. Kurtovic, Carolina Agurto-Gangas, Anibal Sierra, Itziar de Gregorio-Monsalvo, Nuria Huélamo, James M. Miley, Aina Palau, Paola Pinilla, Isabel Rebollido, Álvaro Ribas, Pablo Rivière-Marichalar, Matthias R. Schreiber, Jinshi Sai, Benjamín Carrera

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LVID-SLAM: A Lightweight Visual-Inertial SLAM for Dynamic Scenes Based on Semantic Information by Shuwen Wang, Qiming Hu, Xu Zhang, Wei Li, Ying Wang, Enhui Zheng

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Memory Constraints in Uncertainty Misestimation: A Computational Model of Working Memory and Environmental Change Detection by Li Xin Lim, Rei Akaishi, Sébastien Hélie

“…The second experiment assessed how outcome exposure conditions affect the ability to detect environmental changes, revealing differences in the mechanisms used for environmental change detection. …”
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Observational Constraint on the Contributions of Greenhouse Gas Emission and Anthropogenic Aerosol Removal to Tibetan Plateau Future Warming by Jie Jiang, Tianjun Zhou

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Anomaly detection in multidimensional time series for water injection pump operations based on LSTMA-AE and mechanism constraints by Mei Wang, Xinyuan Zhu, Guangyue Zhou, Kewen Li, Qingshan Wu, Wankai Fan

“…By utilizing LSTMA-AE, we aim to improve the accuracy of anomaly detection, while simultaneously employing mechanistic constraints to mitigate false alarm rates. …”
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Optimization with Time and Frequency Constraints Using Automatic Differentiation: Application to an Aircraft Electrical Power Channel by Lucas Agobert, Laurent Gerbaud, Benoit Delinchant

“…The ordinary differential equations used to model a dynamic system can evolve during the simulation in circumstances where unpredictable events occur, more specifically, in regard to the domain of power electronics, for example, static converters will exhibit natural switching. …”
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Detecting the Black Hole Candidate Population in M51’s Young Massive Star Clusters: Constraints on Accreting Intermediate-mass Black Holes by Kristen C. Dage, Evangelia Tremou, Bolivia Cuevas Otahola, Eric W. Koch, Kwangmin Oh, Richard M. Plotkin, Vivian L. Tang, Muhammad Ridha Aldhalemi, Zainab Bustani, Mariam Ismail Fawaz, Hans J. Harff, Amna Khalyleh, Timothy McBride, Jesse Mason, Anthony Preston, Cortney Rinehart, Ethan Vinson, Gemma Anderson, Edward M. Cackett, Shih Ching Fu, Sebastian Kamann, Teresa Panurach, Renuka Pechetti, Payaswini Saikia, Susmita Sett, Ryan Urquhart, Christopher Usher

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Ergodic cobweb chaos by Akio Matsumoto

“…This study augments the traditional linear cobweb model with lower and upper bounds for variations of output. Its purpose is to detect the relationship between the output constraints and the dynamics of the modified model. …”
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Exploring Static–Dynamic ID Matching and Temporal Static ID Inconsistency for Generalizable Deepfake Detection by Huimin She, Yongjian Hu, Beibei Liu, Chang-Tsun Li

“…We combine the outputs of the two branches by weighted averaging to obtain the final detection result. We also designed two loss functions: the static–dynamic ID matching loss and the dynamic ID constraint loss, to enhance the representation and discriminability of dynamic ID. …”
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Enhanced RT-DETR with Dynamic Cropping and Legendre Polynomial Decomposition Rockfall Detection on the Moon and Mars by Panpan Zang, Jinxin He, Yongbin Yang, Yu Li, Hanya Zhang

“…While deep learning technologies, particularly object detection models, demonstrate transformative potential, they require specific adaptation to planetary imaging constraints, including low contrast, grayscale inputs, and small-target detection. …”
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DynaOOD-Net: Dynamic Progressive Feature Fusion and Energy Balancing for Robust Out-of-Distribution Detection by Jiting Zhou, Zhihao Zhou, Pu Zhang

“…DynaOOD-Net consists of two core components: the Dynamic Progressive Feature Pyramid Network (DP-FPN) and the Balanced Energy Constraint Loss (BECL). …”
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Innovative Lightweight Detection for Airborne Remote Sensing: Integrating G-Shuffle and Dynamic Multiscale Pyramid Networks by Ruofei Liang, Yigang Cen, Linna Zhang, Fugui Zhang, Yansen Huang, Fei Gan

“…To address the challenges of significant scale variations and difficulty in extracting discriminative features for small targets in airborne remote sensing object detection, while considering the constraints and efficiency requirements of onboard systems, this article proposes a lightweight detection algorithm. …”
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Linear Matrix Inequalities in Fault Detection Filter Design for Linear Ostensible Metzler Systems by Dušan Krokavec, Anna Filasová

“…The article deals with the properties of fault detection filters when applying their structure to a class of linear, continuous-time systems, with dynamics being specified by the system matrix of the ostensible Metzler structure. …”
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Recovering Cosmic Structure with a Simple Physical Constraint by Tian-Cheng Luan, Xin Wang, Jiacheng Ding, Qian Li, Xiao-Dong Li, Weishan Zhu

“…This opens up potential future survey designs for cosmological detection.…”
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SDDGRNets: Level–Level Semantically Decomposed Dynamic Graph Reasoning Network for Remote Sensing Semantic Change Detection by Zhuli Xie, Gang Wan, Yunxia Yin, Guangde Sun, Dongdong Bu

“…However, simple convolutional networks are limited by the receptive field, cannot fully capture detailed semantic information, and cannot effectively perceive subtle changes and constrain edge information. Therefore, a dynamic graph reasoning network with layer-by-layer semantic decomposition for semantic change detection in remote sensing data is developed in response to these limitations. …”
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An Intelligent Smart Dynamic Feature Analysis Based Approach by Utilizing Deep Learning to Improve the Breast Cancer Detection by Seong-O Shim, Lal Hussain, Eesa Alsolami, Monagi H. Alkinani

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A Dynamic Adaptive Ensemble Learning Framework for Noninvasive Mild Cognitive Impairment Detection: Development and Validation Study by Aoyu Li, Jingwen Li, Yishan Hu, Yan Geng, Yan Qiang, Juanjuan Zhao

“…ConclusionsThe developed MCI detection framework has demonstrated exemplary performance and stability in large-scale validations. …”
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