Results 121 to 130 of about 537,692 (296)

Evaluating Segmentation-Based Deep Learning Models for Real-Time Electric Vehicle Fire Detection

Fire
The rapid expansion of the electric vehicle (EV) market has raised significant safety concerns, particularly regarding fires caused by the thermal runaway of lithium-ion batteries.
Heejun Kwon, Sugi Choi, Wonmyung Woo, Haiyoung Jung   +3 more
doaj   +1 more source

Molecular determinants of signal transduction in tropomyosin receptor kinases

FEBS Open Bio, EarlyView.
Tropomyosin receptor kinases control critical neuronal functions, but how do the same receptors produce diverse cellular responses? This review explores the structural mechanisms behind Trk signaling diversity, focusing on allosteric modulation and ligand bias.
Giray Enkavi
wiley   +1 more source

Exploring the relationships between L2 vocabulary knowledge, lexical segmentation, and L2 listening comprehension

, 2020
Kriss Lange, Joshua Matthews
openalex   +2 more sources

Road segmentation: exploiting the efficiency of skip connections for efficient semantic segmentation

, 2023
D. Madhumita, H. A. Bharath, Valli Devendra, B. Shivam   +3 more
openalex   +2 more sources

Vision Transformers: From Semantic Segmentation to Dense Prediction [PDF]

, 2022
Li Zhang, Jiachen Lu, Sixiao Zheng, Xinxuan Zhao, Xiatian Zhu, Yanwei Fu, Tao Xiang, Jianfeng Feng, Philip H. S. Torr   +8 more
openalex   +1 more source

Dietary nitrate and nitrite protect against doxorubicin‐induced cardiac fibrosis and oxidative protein damage in tumor‐bearing mice

FEBS Open Bio, EarlyView.
Chemotherapies such as doxorubicin can have toxic effects on healthy cardiovascular/heart tissue. Following up on a doxorubicin toxicity study in mice without tumors where nitrate water was cardioprotective (lessened toxicity), this study with tumor‐bearing mice undergoing doxorubicin treatment showed no negative effect of nitrate and nitrite on drug ...
Rama D. Yammani, Xiaofei Chen, Nildris Cruz‐Diaz, Xuewei Zhu, Swati Basu, Daniel B. Kim‐Shapiro, David R. Soto‐Pantoja, Leslie B. Poole   +7 more
wiley   +1 more source

Enhanced Liver and Tumor Segmentation Using a Self-Supervised Swin-Transformer-Based Framework with Multitask Learning and Attention Mechanisms

Applied Sciences
Automatic liver and tumor segmentation in contrast-enhanced magnetic resonance imaging (CE-MRI) images are of great value in clinical practice as they can reduce surgeons’ workload and increase the probability of success in surgery.
Zhebin Chen, Meng Dou, Xu Luo, Yu Yao
doaj   +1 more source

Performance analysis of CNN fusion based brain tumour detection using Chan-Vese and level set segmentation algorithms

, 2020
K. Rajesh Babu, P.V. Nagajaneyulu, K. Satya Prasad   +2 more
openalex   +1 more source

Segmentation of Coronal Holes Using Active Contours Without Edges [PDF]

, 2016
Laura E. Boucheron, Meghala Valluri, R. T. James McAteer   +2 more
openalex   +1 more source

Navigating new norms: a systematic review of factors for the development of effective digital tools in higher education

FEBS Open Bio, EarlyView.
What factors make for an effective digital learning tool in Higher Education? This systematic review identifies elements of a digital tool that published examples reveal to be features of an engaging and impactful digital tool. A systematic literature search yielded 25 research papers for analysis.
Akmal Arzeman, Jessica Haines, Connie Pritchard, Stephen Rutherford, Nigel Francis   +4 more
wiley   +1 more source