Results 101 to 110 of about 12,912,851 (287)

Intelligent Micro/Nanorobots for Targeted Interventional Therapy: From Bench to Clinic

Advanced Robotics Research, EarlyView.
Zirui Zhang et al. reviewed the application and challenges of mobile nanomachines in interventional therapy. By converting exogenous energy, including chemical, magnetic, optical, and ultrasonic sources, into mechanical forces, micro/nanorobots (MNRs) enable precise actuation at unprecedented scales. Evolving far beyond traditional drug delivery, these
Zirui Zhang, Yu Dong, Yongsheng Du, Rui Gao, Lin Zhang, Fei Tong   +5 more
wiley   +1 more source

Contrastive Learning of Multimodal Consistency Feature Representation for Remote Sensing Image Registration

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Feature representation is a crucial issue in multimodal image registration. The handcrafted features extracted by traditional methods are highly sensitive to nonlinear radiation differences, while supervised learning methods are limited by deficient ...
Zhen Han, Ning Lv, Zhiyi Wang, Wei Han, Li Cong, Shaohua Wan, Chen Chen   +6 more
doaj   +1 more source

ACDF-YOLO: Attentive and Cross-Differential Fusion Network for Multimodal Remote Sensing Object Detection

Object detection in remote sensing images has received significant attention for a wide range of applications. However, traditional unimodal remote sensing images, whether based on visible light or infrared, have limitations that cannot be ignored ...
Xuan Fei, Renping Yu, Le Sun, Mengyao Guo, Yan Li   +4 more
core   +1 more source

An urban classification approach based on an object-oriented analysis of high resolution satellite imagery for a spatial structuring within urban areas [PDF]

, 2006
Classifying the complex structures of urban morphology from high resolution remote sensing imagery comprises difficulties due to their spectral and spatial heterogeneity.
Taubenböck, Hannes, Roth, Achim, Esch, Thomas   +2 more
core  

Residual Dense Network Based on Channel-Spatial Attention for the Scene Classification of a High-Resolution Remote Sensing Image

, 2020
The scene classification of a remote sensing image has been widely used in various fields as an important task of understanding the content of a remote sensing image. Specially, a high-resolution remote sensing scene contains rich information and complex
Jimiao Tian, Xiaolei Zhao, Li Zhuo, Jie Zhang, Jing Zhang   +4 more
core   +1 more source

Flexible Sensors for Robotics Tactile Perception: A Review

Advanced Robotics Research, EarlyView.
Flexible tactile sensing for robotics is reviewed through four interconnected dimensions. Physical mechanisms include piezoresistive, capacitive, piezoelectric, triboelectric, iontronic, and optical sensing. Structural design includes bioinspired, defect‐based, and MEMS‐based tactile systems.
Yu Song, Ying Chen, Yihao Chen, Xue Feng
wiley   +1 more source

Dual-Alignment CLIP: Task-Specific Alignment of Text and Visual Features for Few-Shot Remote Sensing Scene Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Convolutional neural networks (CNNs) are widely adopted for remote sensing image scene classification. However, labeling of large annotated remote sensing datasets is costly and time consuming, which limits the applicability of CNNs for real-world ...
Dongmei Deng, Ping Yao
doaj   +1 more source

Cell‐Based Biohybrid Micro/Nanorobots for Biotherapy

Advanced Robotics Research, EarlyView.
This review systematically evaluates cell‐based biohybrid micro/nanorobots (CB‐BMRs), highlighting their cell selection criteria, fabrication strategies, and diverse actuation modes. Furthermore, it surveys the promising therapeutic applications of CB‐BMRs in targeted cancer, thrombosis, and inflammation treatments, while comprehensively discussing ...
Lin Wang, Chenlu Liu, Yu Zhao, Chuanhua Li, Xuyang Chen, Shixiao Ding, Lizhou Dai, Guokun Wang, Tianlong Li, Jiaxin Li, Xuejia Liu, Haocheng Wang   +11 more
wiley   +1 more source

Domain-Adapted MLLMs for Interpretable Road Traffic Accident Analysis Using Remote Sensing Imagery

ISPRS International Journal of Geo-Information
Traditional road traffic accident analysis has long relied on structured data, making it difficult to integrate high-dimensional heterogeneous information such as remote sensing imagery and leading to an incomplete understanding of accident scene ...
Bing He, Wei He, Qing Chang, Wen Luo, Lingli Xiao   +4 more
doaj   +1 more source

Deep Residual Squeeze and Excitation Network for Remote Sensing Image Super-Resolution

, 2019
Recently, deep convolutional neural networks (DCNN) have obtained promising results in single image super-resolution (SISR) of remote sensing images. Due to the high complexity of remote sensing image distribution, most of the existing methods are not ...
Jun Gu, Xian Sun, Lei Wang, Kun Fu, Yue Zhang   +4 more
core   +1 more source