Results 171 to 180 of about 124,967 (286)

Intelligent leak monitoring of oil pipeline based on distributed temperature and vibration fiber signals. [PDF]

Front Big Data
Liang X, Deng Y, Wang Y, Li H, Ma W, Wang K, Ren J, Ma R, Zhang S, Liu J, Wu W.   +10 more
europepmc   +1 more source

Intelligent Improvement of Pipeline Centralized Dispatch and Control

IOP Conference Series: Materials Science and Engineering, 2018
Lan Hao, Shao Tiemin, Li Bo, Diao Yu, Liu Miao, Ai Sen   +5 more
openaire   +1 more source

Data Storage, Cloud Usage and Artificial Intelligence Pipeline

, 2022
van Ooijen, Peter, Darzi, Erfan, Dekker, A.   +2 more
openaire   +1 more source

Transcriptomic and Neuroimaging Decoding of Brain‐Immune Crosstalk in Thyroid Eye Disease

Advanced Science, EarlyView.
This study employed an imaging transcriptomics framework integrating resting‐state fMRI with Allen Human Brain Atlas transcriptomic data, coupled with peripheral blood RNA sequencing, to decode brain‐immune crosstalk in thyroid eye disease. Frontal, parietal, subcortical, and brainstem regions were identified as key neuroimmune‐ vulnerable regions ...
Haiyang Zhang, Yuting Liu, Shufan Jiang, Zilin Fang, Mengda Jiang, Xiaofeng Tao, Tianyi Zhu, Jipeng Li, Sijie Fang, Xuefei Song, Yinwei Li, Jing Sun, Chuanjun Tong, Zhengrun Gao, Huifang Zhou, Xianqun Fan   +15 more
wiley   +1 more source

Beyond social media: the era of generative AI and intelligent digital platforms in nephrology education. [PDF]

Ren Fail
Cheungpasitporn W, Pesce F, Thongprayoon C, Miao J, Baloch MY, Soliman K, Chávez Iñiguez JS.   +6 more
europepmc   +1 more source

INB3P: A Multi‐Modal and Interpretable Co‐Attention Framework Integrating Property‐Aware Explanations and Memory‐Bank Contrastive Fusion for Blood–Brain Barrier Penetrating Peptide Discovery

Advanced Science, EarlyView.
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv, Qianyang Wu, Jian Liu, Binlu Yang, Yuanhao Li, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Quan Zou, Xiulai Li, Feifei Cui   +11 more
wiley   +1 more source

Intelligent educational decision-making system driven by multimodal data fusion and knowledge graphs. [PDF]

Sci Rep
Wang Y.
europepmc   +1 more source

Integrating Radiomics and Computational Pathology to Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma and Uncover Its Biological Basis in Tumor Microenvironment

Advanced Science, EarlyView.
Accurate prediction of early recurrence in pancreatic ductal adenocarcinoma is vital for optimizing treatment. A novel, integrated radiomics‐pathology machine learning model successfully forecasts recurrence risks by analyzing preoperative CT images and computational pathology.
Sihang Cheng, Fuze Cong, Shenbo Zhang, Rui Lv, Wenjia Zhang, Xinyi Ke, Juncheng Wu, Zhonghe Zhao, Kui Zhao, Di Dong, Ruofan Zhang, Zhengyu Jin, Max Seidensticker, Zhiwei Wang, Huanwen Wu, Xianlin Han, Nan Hong, Huadan Xue   +17 more
wiley   +1 more source

Voltage regulation in PV-rich distribution networks: an edge pipelined intelligent computing approach. [PDF]

Commun Eng
Li C, Liu J, Liu Q, Li Y, Cao Y, Li Y.
europepmc   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source