Results 61 to 70 of about 390,113 (287)

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Web text mining method based on subtopic selection and three-level stratified structure

Dianxin kexue, 2016
As the problem of fuzzy inquiry and data sparseness cased by intention gap between users and queries,according to the ranking list of possible subtopic from popularity and diversity,subtopic selection and sorting of stratified structure were used for web
Yuzhen SHI, Donghong SHAN
doaj   +2 more sources

Investigation of the use of navigation tools in web-based learning: A data mining approach [PDF]

, 2008
Web-based learning is widespread in educational settings. The popularity of Web-based learning is in great measure because of its flexibility. Multiple navigation tools provided some of this flexibility.
Chen, SY, Liu, X, Minetou, CG
core   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Information Integration in a Mining Landscape

Studies in Digital Heritage, 2017
The integration of information sources is a fundamental step to advance research and knowledge about the ancient mining landscape of Schwaz/Brixlegg in the Tyrol / Austria.
Gerald Hiebel, Klaus Hanke, Gert Goldenberg, Markus Staudt, Caroline Grutsch   +4 more
doaj   +1 more source

Overcoming data scarcity of Twitter: using tweets as bootstrap with application to autism-related topic content analysis

, 2015
Notwithstanding recent work which has demonstrated the potential of using Twitter messages for content-specific data mining and analysis, the depth of such analysis is inherently limited by the scarcity of data imposed by the 140 character tweet limit ...
Agarwal A., Autism, Blei D., Bollen J., Chang J., Danial J. T., Harrington J. W., Harshavardhan A., Higashida N., Himelboim I., Hutchings C., Hviid A., Ishwaran H., Jacobson J. W., Jashinsky J., Jiang L., Paul M. J., Paul M. J., Robinson B., Russell M. A., Scanfeld D., Teh Y. W., Teh Y. W., Trembath D., Verma S., Warren Z.   +25 more
core   +1 more source

Harnessing Phase Separation for the Development of High‐Performance Hydrogels

Advanced Science, EarlyView.
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao, Yiming Ma, Baihao Shao, Molly M. Stevens   +3 more
wiley   +1 more source

Web site structure mining using social network analysis [PDF]

Internet Research, 2011
PurposeWeb sites are typically designed attending to a variety of criteria. However, web site structure determines browsing behavior and way‐finding results. The aim of this study is to identify the main profiles of web sites' organizational structure by modeling them as graphs and considering several social network analysis features.Design/methodology/
Martínez Torres, María del Rocío, Toral, S. L., Palacios Florencio, Beatriz, Barrero, Federico   +3 more
openaire   +3 more sources

Web Content Mining for Information on Information Scientists [PDF]

, 2011
This paper presents a search system for information on scientists which was implemented prototypically for the area of information science, employing Web Content Mining techniques.
Risse, Sarah
core  

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

Advanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang, Ziyuan Li, Shan Gao, Zhen Zhu, Jing Wang, Xiangmei Duan   +5 more
wiley   +1 more source