SSOD-QCTR: Semi-Supervised Query Consistent Transformer for Optical Remote Sensing Image Object Detection by Xinyu Ma, Pengyuan Lv, Xunqiang Gong

“…This paper proposes a semi-supervised query consistent transformer for optical remote sensing image object detection (SSOD-QCTR). A detection transformer (DETR)-like model is adopted as the basic network, and it follows the teacher–student training scheme. …”
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DyGS-SLAM: Realistic Map Reconstruction in Dynamic Scenes Based on Double-Constrained Visual SLAM by Fan Zhu, Yifan Zhao, Ziyu Chen, Chunmao Jiang, Hui Zhu, Xiaoxi Hu

“…We introduce DyGS-SLAM, a Visual SLAM system that employs dual constraints to achieve high-fidelity static map reconstruction in dynamic environments. …”
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GLIDE: A Game Theory and Data-Driven Mimicking Linkage Intrusion Detection for Edge Computing Networks by Qianmu Li, Jun Hou, Shunmei Meng, Huaqiu Long

“…Based on the idea of dynamic intrusion detection, we utilize the game theory in the field of edge computing network and suggest a data-driven mimicry intrusion detection game model-based technique called GLIDE. …”
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Present‐Day Mars' Seismicity Predicted From 3‐D Thermal Evolution Models of Interior Dynamics by A.‐C. Plesa, M. Knapmeyer, M. P. Golombek, D. Breuer, M. Grott, T. Kawamura, P. Lognonné, N. Tosi, R. C. Weber

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Dynamic Task Allocation for Heterogeneous Multi-Autonomous Underwater Vehicle Collaboration Under Mine Countermeasures Missions by Juan Li, Baohua Liu, Caiyun Liu, Cong Lin

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Molecular evolution and reassortment dynamics of Orthohantavirus hantanense revealed through longitudinal genomic surveillance in the Republic of Korea by Kyungmin Park, Jongwoo Kim, Seong-Gyu Kim, Won-Keun Kim, Jin-Won Song

“…Bayesian coalescent analyses estimated evolutionary rates ranging from 1.6 to 6.6 × 10⁻⁴ substitutions per site per year, with the Gn protein exhibiting the highest rate, suggesting gene-specific dynamics. Strong purifying selection (nonsynonymous/synonymous ratio < 0.1) was observed across all segments, reflecting substantial evolutionary constraints. …”
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A Defect Detection Method for Flexible Thermal Control Film Manufacturing Process Driven by Digital Twin by LI Rongyi, TIAN Shuaiqi, DAI Mingqiu, XU Youqiang, LI Xianbin, HOU Kailin

“…In view of the rigid constraints of traditional monolithic architecture in the defect detection of flexible films, this paper proposes a digital twin system based on microservice architecture. …”
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Knowledge distillation-enhanced marine optical remote sensing object detection with transformer and dual-path architecture by Yubin Yuan, Yiquan Wu, Langyue Zhao, Yuqi Liu, Jinlin Chen

“…However, this task faces inherent challenges including complex environmental interference, diverse object scales and morphologies, and dynamic imaging conditions. To address these issues, this paper proposes a marine optical remote sensing object detection architecture based on transformer and dual path architecture (MOD-TD), aiming to improve the accuracy and robustness of maritime target detection. …”
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Automated 3D room mapping and real-time corner detection for Android-based AR systems by Balakrishnan Ramalingam, Abraham Sudharson Ponraj, Mukund Sharma, Rishabh Sharma, Mohamed Nabeel, Shivanshu Upadhyay, Mahapatra Aditya, Siddhant Arora, Mohanaprasad Kothandaraman

“…By leveraging advanced software techniques, the framework overcomes hardware constraints typical of Android smartphones, enabling scalable AR applications in architecture, interior design, and robotic navigation.…”
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SqueezeSlimU-Net: An Adaptive and Efficient Segmentation Architecture for Real-Time UAV Weed Detection by Alina L. Machidon, Andraz Krasovec, Veljko Pejovic, Octavian M. Machidon

“…Timing benchmarks show SSU-Net fostering real-time weed detection even on low-resource UAVs, making it ideal for UAV remote sensing applications.…”
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Automated Detection of coronaL MAss Ejecta origiNs for Space Weather AppliCations (ALMANAC) by Thomas Williams, Huw Morgan

“…Abstract Alerts of potentially hazardous coronal mass ejection (CME) are based on the detection of rapid changes in remote observations of the solar atmosphere. …”
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Unmanned Aerial Vehicle–Unmanned Ground Vehicle Centric Visual Semantic Simultaneous Localization and Mapping Framework with Remote Interaction for Dynamic Scenarios by Chang Liu, Yang Zhang, Liqun Ma, Yong Huang, Keyan Liu, Guangwei Wang

“…By combining YOLO–based object detection with epipolar–constraint-based dynamic feature removal, our method achieves real-time semantic mapping while rejecting motion artifacts. …”
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A Hybrid CNN-LSTM Model With Attention Mechanism for Improved Intrusion Detection in Wireless IoT Sensor Networks by Pendukeni Phalaagae, Adamu Murtala Zungeru, Abid Yahya, Boyce Sigweni, Selvaraj Rajalakshmi

“…This combination ensures more efficient and robust intrusion detection in dynamic IoT environments. Experimental evaluations using a standard IoT intrusion dataset indicate that the proposed model achieves notable accuracy rates of 98.73% with CNN, 99.87% with LSTM, 99.12% with CNN-LSTM, and 98.88% with the enhanced CNN-LSTM with attention, demonstrating an improvement over existing techniques. …”
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Unveiling the Complex Jet Dynamics in the Blazar 2021+317 through Multiepoch Very Long Baseline Interferometry Observations by Haitian Shang, Wei Zhao, Xiaoyu Hong, Leonid I. Gurvits, Ailing Zeng, Tao An, Xiaopeng Cheng

“…Our results provide constraints on the dynamic evolution of the jet and its interaction with the surrounding medium.…”
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The Pathway Is Clear but the Road Remains Unpaved: A Scoping Review of Implementation of Tools for Early Detection of Cerebral Palsy by Álvaro Hidalgo-Robles, Javier Merino-Andrés, Mareme Rose Samb Cisse, Manuel Pacheco-Molero, Irene León-Estrada, Mónica Gutiérrez-Ortega

“…<b>Conclusions</b>: The limited integration of GMA, HINE, and MRI into routine practice reflects a persistent “know–do” gap in early CP detection. Since implementation is shaped by the dynamic interplay of capability, opportunity, and motivation, bridging this gap demands sustained and equitable action—by addressing system-wide barriers, supporting professional development, and embedding early detection within national care pathways.…”
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Image optimization method for ablation defects in high-voltage cable buffer layers based on X-ray detection technique by Baiyuan Liu, Weifeng Wang, Tengfei Liu, Zhen Xu, Xiangchen Kong, Xu Zhou, Yanan Cheng

“…It combines multi-scale analysis with directional constraints to reduce false detections in complex backgrounds and utilizes Lanczos3 interpolation to reconstruct defect edge textures with high fidelity while suppressing ringing artifacts. …”
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A New LISA-detectable Type Ia Supernova Progenitor in the Southern Sky: SMSS J1138−5139 by Alekzander Kosakowski, Matti Dorsch, Warren R. Brown, Thomas Kupfer, Fatma Ben Daya, Mukremin Kilic

“…We expect LISA to detect the gravitational-wave emission from SMSS J1138−5139 with a signal-to-noise ratio of 7–10 after a 48 month mission.…”
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Intelligent Fault Detection and Self-Healing Mechanisms in Wireless Sensor Networks Using Machine Learning and Flying Fox Optimization by Almamoon Alauthman, Abeer Al-Hyari

“…This paper presents an intelligent framework based on Light Gradient Boosting Machine integration for fault detection and a Flying Fox Optimization Algorithm in dynamic self-healing. …”
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A simulation-driven computational framework for adaptive energy-efficient optimization in machine learning-based intrusion detection systems by Ripal Ranpara, Osamah Alsalman, Om Prakash Kumar, Shobhit K. Patel

“…The proposed MUGuard algorithm is at the framework’s core, which dynamically adjusts computational complexity based on real-time actual energy constraints and the evolving threat landscape. …”
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CKAN-YOLOv8: A Lightweight Multi-Task Network for Underwater Target Detection and Segmentation in Side-Scan Sonar by Yao Xiao, Hualong Yang, Dongchen Dai, Hongjian Wang, Ziqi Shan, Hao Wu

“…Underwater target detection and segmentation in Side-Scan Sonar (SSS) imagery is challenged by low signal-to-noise ratios, geometric distortions, and Unmanned Underwater Vehicles (UUVs)’ computational constraints. …”
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