Results 71 to 80 of about 129,201 (249)

Genetic CNN

2017 IEEE International Conference on Computer Vision (ICCV), 2017
The deep Convolutional Neural Network (CNN) is the state-of-the-art solution for large-scale visual recognition. Following basic principles such as increasing the depth and constructing highway connections, researchers have manually designed a lot of fixed network structures and verified their effectiveness. In this paper, we discuss the possibility of
Xie, Lingxi, Yuille, Alan
openaire   +2 more sources

Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots

Advanced Robotics Research, EarlyView.
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou, Zhiqiang Chen, Yuanbiao Ma, Zhiqiang Tang, Qianqian Wang   +4 more
wiley   +1 more source

P-CNN: Percept-CNN for semantic segmentation

Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
The task of image segmentation remains a fundamental challenge, in the field of computer vision. Convolutional Neural Networks (CNNs) have achieved significant success in this field, yet there are some limitations in the conventional approach. The process of accurate, pixel-wise image annotation is time-consuming, as well as requires more human effort.
Deepak Hegde, G. N. Balaji
openaire   +2 more sources

A Wearable Brain–Computer Interface for Mitigating Car Sickness via Attention Shifting

Advanced Science, EarlyView.
Car sickness poses a major challenge in vehicular travel, yet effective nonpharmacological solutions are scarce. We developed a wearable, closed‐loop mindfulness BCI that uses real‐time EEG‐based neurofeedback to shift attention away from motion‐induced discomfort. Validated in real‐car experiments involving >100$>100$ susceptible individuals, over 83%
Jiawei Zhu, Xiaoyu Bao, Qiyun Huang, Tao Wang, Li Huang, Haiyun Huang, Junbiao Zhu, Jun Qu, Kendi Li, Di Chen, Ya Jiang, Kailin Xu, Zijian Wang, Wei Wu, Yuanqing Li   +14 more
wiley   +1 more source

Exploration of Machine Learning Algorithms and Class Imbalance Handling on Plant Disease Detection

Journal of Applied Informatics and Computing
Plant leaf diseases pose a significant threat to agricultural productivity, necessitating accurate and efficient identification systems for timely intervention.
Ervin Aditya, Ajie Kusuma Wardhana
doaj   +1 more source

Intelligent Stain‐Free Histology on Structural Colorimetric Nanocavities

Advanced Science, EarlyView.
Chen and Gan et al. introduce a label‐free imaging platform using inexpensive Nanocavity‐on‐Silicon (NOS) slides. These slides transform subtle tissue variations into vivid structural colors, enabling high‐contrast histological imaging under a regular optical microscope. This stain‐free approach reveals morphological details comparable to traditional H&
Qizhe Chen, Yifei Ren, Lijie Hu, Yanyan Li, Wenyue Liang, Jin Wang, Han Gao, Xinhai Wang, Jiajun Li, Qiutao He, Yingfeng Zhu, Haifeng Hu, Qiwen Zhan, Imed Gallouzi, Jasmeen Merzaban, Di Wang, Zunguo Du, Xiaodong Gu, Qiaoqiang Gan   +18 more
wiley   +1 more source

Recent Advances in Decoupling Strategies for Soft Sensors

Advanced Science, EarlyView.
This review provides an overview of recent advances in decoupling strategies for soft sensors. It summarizes single‐modal sensors that are insensitive to stretching, bending, crosstalk, and other environmental interferences, and highlights emerging multimodal decoupling methods enabled by spatiotemporal information and machine learning.
Yangbo Yuan, Wanqing Zhang, Jia‐Yu Yang, Manqi Peng, Huanyu Cheng   +4 more
wiley   +1 more source

UAV-Based Structural Damage Mapping: A Review

ISPRS International Journal of Geo-Information, 2019
Structural disaster damage detection and characterization is one of the oldest remote sensing challenges, and the utility of virtually every type of active and passive sensor deployed on various air- and spaceborne platforms has been assessed.
Norman Kerle, Francesco Nex, Markus Gerke, Diogo Duarte, Anand Vetrivel   +4 more
doaj   +1 more source

NuSAP Safeguards Centriole Integrity to Mediate CEP57‐CEP152 Torus Recruitment for Proper Engagement

Advanced Science, EarlyView.
This study reveals a novel role for the microtubule stabilizer NuSAP at centrioles. NuSAP depletion destabilizes the centriole's tubulin structure, causing premature disengagement, PCM defects, and mis‐localization of the CEP57‐CEP63‐CEP152 complex. By reinforcing centriole architecture, NuSAP enables early CEP57 loading and initiates a newly proposed ...
Shiyu Zhang, Zemin Jiang, Qiaoyun Yang, Hong Zheng, Minghao Wang, Chennianci Zhu, Lih‐Wen Deng, Karen Carmelina Crasta, Yih‐Cherng Liou   +8 more
wiley   +1 more source

Deep Learning Approach for Music Genre Classification using Multi-Feature Audio Representations

Sistemasi: Jurnal Sistem Informasi
Automatic music genre classification is critical for enhancing user experience in streaming platforms and recommendation systems. This study proposes a Convolutional Neural Network (CNN)-based approach using the GTZAN dataset, which contains ten music ...
Nurul Asanah, Irfan Pratama
doaj   +1 more source