Results 61 to 70 of about 17,577 (264)

Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers

Advanced Science, EarlyView.
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao, Misheng Cai, Zhenghong Wang, Yan Wang, Yuqi Li, Bo Dong, Hewu Wang, Andrew F. Burke, Simona Onori, Stephen J. Harris   +9 more
wiley   +1 more source

Scalable Context-Based Facial Emotion Recognition Using Facial Landmarks and Attention Mechanism

IEEE Access
Deciphering emotions from a person’s perspective is critical for meaningful human relationships. Enabling computers to interpret emotional cues similarly could significantly improve human-machine interaction.
Savina Jassica Colaco, Dong Seog Han
doaj   +1 more source

Facial Landmark Detection for Manga Images

CoRR, 2018
The topic of facial landmark detection has been widely covered for pictures of human faces, but it is still a challenge for drawings. Indeed, the proportions and symmetry of standard human faces are not always used for comics or mangas. The personal style of the author, the limitation of colors, etc.
Marco Stricker, Olivier Augereau, Koichi Kise, Motoi Iwata   +3 more
openaire   +2 more sources

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

Advanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale, Marie Celine Lefevre, Alessio Carmignani, Maria Cristina Ceccarelli, Matteo Battaglini, Attilio Marino, Gianni Ciofani   +6 more
wiley   +1 more source

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

Advanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu, Haitao Gao, Qingyang Liu, Sishen Yuan, Haiyang Fang, Mingwu Su, Baijia Liang, Yongzun Yang, Long Bai, Wenzhen Dong, Dihong Xie, Shijian Su, Jiewen Lai, Shing Shin Cheng, Zhen Li, Xiuli Zuo, Hongliang Ren   +16 more
wiley   +1 more source

A Semi-automatic Methodology for Facial Landmark Annotation [PDF]

2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2013
Developing powerful deformable face models requires massive, annotated face databases on which techniques can be trained, validated and tested. Manual annotation of each facial image in terms of landmarks requires a trained expert and the workload is usually enormous. Fatigue is one of the reasons that in some cases annotations are inaccurate.
Sagonas, C., Pantic, M, Zafeiriou, S., Tzimiropoulos, Georgios   +3 more
openaire   +2 more sources

Engineering Microbial Particles for Next‐Generation Biomedical Platforms

Advanced Science, EarlyView.
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li, Yunjie Lu, Ziyan Huang, Jianjiang Chen, Yanbin Liu, Lei Qin, Chao Wang, Yumin Wu   +7 more
wiley   +1 more source

Topology‐Aware Deep Learning on Higher‐Order Structures for Drug Response Prediction

Advanced Science, EarlyView.
We present TopDr, a topology‐aware deep learning framework that encodes both drugs and cell lines as multiscale simplicial complexes, capturing interactions at the 0‐, 1‐, and 2‐simplex levels. By jointly integrating local higher‐order neighborhoods and global topological structures, TopDr generates enriched representations for sensitivity prediction ...
Cong Shen, Guancen Lin, Chuan‐Shen Hu, Yong Wang   +3 more
wiley   +1 more source

A Brain‐Penetrant Nanobody Reveals GSK3β‐Driven Proline‐Directed Phosphorylation as a Master Regulator of Ischemic Neurodegeneration

Advanced Science, EarlyView.
A brain‐targeted nanoparticle enables delivery of a therapeutic nanobody (Nb.29E9) that inhibits pathogenic GSK3β signaling. This intervention restores AMPK/mTORC1/TGFβ homeostasis, attenuates neuroinflammation and oxidative stress, and promotes long‐term functional recovery after ischemic stroke.
Lan Li, Muyang Li, Lei Sun, Ying Yang, Yuanshun Wu, Ziyi Yin, Anni Wang, Peiyang Zhou, Shaoxiang Luo, Jian Chen, Jun Qin, Zhibing Ai, Zilong Yuan, Zhiqiang Dong, Min Zhang   +14 more
wiley   +1 more source

Failure Detection for Facial Landmark Detectors

CoRR, 2016
Most face applications depend heavily on the accuracy of the face and facial landmarks detectors employed. Prediction of attributes such as gender, age, and identity usually completely fail when the faces are badly aligned due to inaccurate facial landmark detection.
Andreas Steger, Radu Timofte, Luc Van Gool   +2 more
openaire   +2 more sources