Results 61 to 70 of about 10,967 (196)

Recent advances in multifunctional soft robots: A materials–structures–systems co‐design perspective for synergistic integration

FlexMat, EarlyView.
Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu, Zicao Peng, Chong Sun, Haitao Yang   +3 more
wiley   +1 more source

Target detection technology of coal mine wheeled robot combining improved CNN and self attention mechanism

Meikuang Anquan
In complex coal mine environment and poor lighting conditions, the existing target detection technology is difficult to meet the needs of intelligent inspection.
Junfei TANG, Hailong XING, Su LI, Taotao ZHANG, Heng LIU, Shiyu YAO   +5 more
doaj   +1 more source

Insulator Detection Method Using YOLO Combining Feature Reuse and Reconstruction [PDF]

Jisuanji gongcheng
To overcome challenges such as low generalization performance and difficulty in identifying insulators amidst complex backgrounds in deep learning-based insulator defect detection methods, this study introduces a novel method based on the You Only Look ...
Lulu YANG, Ping MA, Cong WANG, Xinkai LI, Yue MENG, Hongli ZHANG
doaj   +1 more source

Organic neuromorphic electronics powering intelligent sensory and edge computing systems

InfoMat, EarlyView.
Organic electronic materials are promising candidates for neuromorphic sensing applications, including chemical, physical, visual, and multimodal sensing, owing to their mechanical softness, biocompatibility, and intrinsic ionic–electronic coupling.
Seungjun Woo, Minji Chung, Hyun Woo Song, Seoyoung Kim, Eun Kwang Lee, Joon Hak Oh   +5 more
wiley   +1 more source

EBGC-RTDETR: A lightweight model for eggplant disease detection with enhanced RT-DETR architecture

Smart Agricultural Technology
To address the limitations in lesion characterization, regional attention, multi-scale feature fusion, and lightweight deployment in existing models, we propose EBGC-RTDETR, an improved architecture based on RT-DETR-r18.
Zengguang Huo, Xinyu Yang, Xinghua Sun, Bei Zhang, Dan Liu   +4 more
doaj   +1 more source

RaBiT: An Efficient Transformer using Bidirectional Feature Pyramid Network with Reverse Attention for Colon Polyp Segmentation

, 2023
Automatic and accurate segmentation of colon polyps is essential for early diagnosis of colorectal cancer. Advanced deep learning models have shown promising results in polyp segmentation. However, they still have limitations in representing multi-scale features and generalization capability.
Thuan, Nguyen Hoang, Oanh, Nguyen Thi, Thuy, Nguyen Thi, Perry, Stuart, Sang, Dinh Viet   +4 more
openaire   +2 more sources

Range‐wide sampling reveals cryptic lineages but largely conserved mycorrhizal associations in the Japanese fairy lantern Thismia kobensis

PLANTS, PEOPLE, PLANET, EarlyView.
The jewel‐like flowers of Thismia are as rare as they are beautiful, often recorded from only a single site per species. Access to 15 populations of T. kobensis has enabled an uncommon, range‐wide assessment of morphology, genetics, and fungal partners. Our analyses showed that T.
Kenji Suetsugu, Kazuma Takizawa, Kazuki Inui, Akihiro Nishimura, Shun K. Hirota   +4 more
wiley   +1 more source

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, EarlyView.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

From 0D to 3D liquid crystal elastomers architectures: Fabrications and applications

Responsive Materials, EarlyView.
This review presents a dimension‐oriented overview of liquid crystal elastomers (LCEs), highlighting their molecular alignment, fabrication strategies, and programmable deformations from 0D particles to 3D architectures. Emphasis is placed on how dimensionality guides design principles, enables diverse actuation modes, and bridges fundamental ...
Mingxuan Liu, Zongxuan Wu, Jinquan Zheng, Yidan Zhu, Yanjun Liu, Lingling Ma, Wei Hu, Yan‐Qing Lu, Dan Luo   +8 more
wiley   +1 more source

Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao, Bangzhang Ma, Dianhan Xi, Jiaqi Wang, Yijia Chen, Yongying Liu, Xinlei Shao, Mowen Zhang, Guocheng Zhang, Jundong Chen, Katsunori Mizuno   +10 more
wiley   +1 more source