Research on Visual SLAM Navigation Techniques for Dynamic Environments by Tongjun Wang, Peijun Zhao

“…Aiming at the inconsistency between the direction of dynamic objects and static background optical flow, this method adopts a high-real-time dynamic region mask detection algorithm to eliminate the feature points in the dynamic region mask, remove the camera motion optical flow according to the original feature information, and then cluster the optical flow amplitude of dynamic objects so as to realize the dynamic region mask detection and eliminate the dynamic signpost points combined with the polar geometric constraints. …”
Get full text

Unsupervised Global Difference Modeling for Image Change Detection by Wenhua Zhang, Qihao Weng, Jia Liu, Zeng Qu, Yong Li, Jinjin Chai, Liang Xiao

Get full text

Trajectory Optimization with Dynamic Drivable Corridor-Based Collision Avoidance by Weijie Wang, Tantan Zhang, Zihan Song, Haipeng Liu

“…To address this limitation, this study proposes a novel approach that integrates grid-based obstacle representation with dynamic grid merging to accelerate collision detection and dynamically constructs the DC by adaptively adjusting the expansion strategies according to available spatial dimensions. …”
Get full text

Continuous Glucose Monitoring: A Transformative Approach to the Detection of Prediabetes by Liu X, Zhang J

“…Continuous glucose monitoring (CGM) emerges as a transformative tool, offering unprecedented insights into glycemic dynamics and facilitating tailored therapeutic interventions. …”
Get full text

Detecting Intermediate-mass Black Holes Using Quasar Microlensing by Zihao Wu, Luis C. Ho

“…These IMBHs largely preserve their birth masses, offering critical insights into the formation of heavy black hole seeds and the dynamical processes driving their evolution. We propose that such IMBHs could produce detectable microlensing effects on quasars. …”
Get full text

Collaborator: A Nonholonomic Multiagent Team for Tasks in a Dynamic Environment by Jing Ren, Mark Green

“…We have tested the framework in simulations of several tasks and have shown that Collaborator can satisfy nonholonomic constraints, cooperatively accomplish given tasks in an initially unknown dynamic environment while avoiding collision with other team members. …”
Get full text

Evolution of compressed sensing theory and dynamic electric energy measurement method by WU Wenqian, WANG Xuewei

“…The measurement error of the developed hardware experimental device is better than 2×10-4, which provides a solution strategy to improve the accuracy of compressed detection algorithm, and has the application prospect of high accuracy dynamic electric energy measurement in the future.…”
Get full text

Research on path planning for coal mine rescue robots by ZHU Hongbo, YIN Hongliang

“…Finally, if the robot detects unknown obstacles while traveling along the global path, the DWA, guided by the global path, enables dynamic local obstacle avoidance. …”
Get full text

Humans self-organise balance control strategies on a dynamic platform by Naser Taleshi, Amid Kheirandish, James M. W. Brownjohn, Sarah E. Lamb, Genevieve K. R. Williams

“…Building on this, we introduce a model predictive controller (MPC) framework to simulate postural responses to environmental perturbations caused by a dynamic underfloor platform. The model uses a four-segment biomechanical system with sensory feedback and predicts the optimal response for maintaining balance, while accounting for biomechanical constraints, as the frequency of mechanical perturbation increases. …”
Get full text

Leveraging AI for Intrusion Detection in IoT Ecosystems: A Comprehensive Study by Shashi Bhushan Sharma, Amit Kumar Bairwa

“…Beyond reviewing existing literature, the paper delves into the challenges of implementing AI-driven IDS in IoT, such as resource constraints, device heterogeneity, and dynamic network topologies. …”
Get full text

A Lightweight and Rapid Dragon Fruit Detection Method for Harvesting Robots by Fei Yuan, Jinpeng Wang, Wenqin Ding, Song Mei, Chenzhe Fang, Sunan Chen, Hongping Zhou

“…To enhance detection accuracy and satisfy the deployment constraints of edge devices, we propose YOLOv10n-CGD, a lightweight and efficient dragon fruit detection method designed for robotic harvesting applications. …”
Get full text

Research on over-the-horizon air combat guidance method based on dynamic RCS by SONG Shaomei, YU Yifei, LI Gai, YANG Qiming, ZHANG Jiandong

“…Firstly, the influence of dynamic RCS is considered to obtain the optimal attack situation, and then the situation evaluation function considering dynamic RCS constraints is established. …”
Get full text

UAV Path Planning under Dynamic Threats Using an Improved PSO Algorithm by Jong-Jin Shin, Hyochoong Bang

“…In addition, terrain masking, nonisotropic radar cross section (RCS), and dynamic constraints of UAV are considered to determine the cost of the path. …”
Get full text

PDSDC: Progressive Spatiotemporal Difference Capture Network for Remote Sensing Change Detection by YeKai Cui, Peng Duan, Jinjiang Li

“…In the field of remote sensing change detection, the dynamic representation of temporal information and the fusion of multisource features have long been key scientific challenges. …”
Get full text

The cartilage-generated bioelectric potentials induced by dynamic joint movement; an exploratory study by Jae-Hyun Lee, Ye-Seul Jang, Won-Du Chang

“…Despite its importance, real-time monitoring of cartilage load in clinical settings remains challenging due to significant technical constraints. Electroarthrography, a recently introduced non-invasive technique, offers a promising solution by detecting load-generated potentials in joint cartilage through surface electrodes. …”
Get full text

SSB: Smart Contract Security Detection Tool Suitable for Industrial Control Scenarios by Ci Tao, Shuai He, Xingqiu Shen

“…However, the lack of real-world ICS validation due to confidentiality constraints limits the generalizability of these findings. …”
Get full text

Normal-Only Anomaly Detection in Environmental Sensors in CPS: A Comprehensive Review by Yaa Takyiwaa Acquaah, Roy Kaushik

“…We analyze the intricacies of applying machine learning, statistical, and data-driven approaches to unveil anomalies, while considering the unique characteristics and constraints of CPS environments. The review also delves into the challenges posed by noisy and dynamic sensor data, scalability issues, and the trade-offs between detection accuracy and resource efficiency. …”
Get full text

Comparative analysis of automated foul detection in football using deep learning architectures by Abdallah Rabee, Zakaria Anwar, Ahmed AbdelMoety, Ahmed Abdelsallam, Mahmoud Ali

“…Abstract Automated foul detection in football represents a challenging task due to the dynamic nature of the game, the variability in player movements, and the ambiguity in differentiating fouls from regular physical contact. …”
Get full text

Deep learning-based object detection for environmental monitoring using big data by Wenbo Lin, Tingting Li, Xiao Li

“…The framework is further enhanced by domain-informed learning strategies that incorporate physics-based constraints, meta-learning for regional adaptation, and uncertainty-aware predictions.ResultsExtensive experiments on four benchmark datasets demonstrate that our approach achieves state-of-the-art performance in environmental object detection, segmentation, and scene understanding.DiscussionEGAN is shown to be a robust and interpretable tool for real-world environmental monitoring applications.…”
Get full text

Insulator Surface Defect Detection Method Based on Graph Feature Diffusion Distillation by Shucai Li, Na Zhang, Gang Yang, Yannong Hou, Xingzhong Zhang

“…The feature bias problem is alleviated by constructing a dual-division teachers architecture with graph feature consistency constraints, while the cross-layer feature fusion module is utilized to dynamically aggregate multi-scale information to reduce redundancy; the diffusion distillation mechanism is designed to break through the traditional single-layer feature transfer limitation, and the global context modeling capability is enhanced by fusing deep semantics and shallow details through channel attention. …”
Get full text