Results 61 to 70 of about 364,970 (290)
Review on Web Content Mining Techniques
International Journal of Computer Applications, 2015 Web data processing is the method of handling high volume of data. Previous research explains that handling/processing such data is not easy. Therefore, researchers utilize web mining, deals with identifying patterns, which user require. The second phase of web mining is known as web content mining, which dealt mining of pictures, text and graphs etc ...
Hari Mohan Pandey, Shipra Saini
openaire +1 more source
Sentiment Analysis Of Web Forums: Comparison Between SentiWordNet And SentiStrength [PDF]
, 2012 Internet has become a major tool for communication, training, fundraising, media operations, and recruitment, and these processes often use web forums. This paper intended to find suitable technique for analysing selected web forums that included radical
Chalothorn, Tawunrat, Ellman, Jeremy
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An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
Advanced Science, EarlyView.This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Web Content Mining Framework for Discovering University Formations’ Compatibility with the Market Needs [PDF]
Revista de Management Comparat International, 2010 This paper aims to provide a decision tool for both academia and business in order to better reach convergence between the qualifications offered and demanded for fresh graduates.
Camelia Elena CIOLAC +2 more
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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 +4 more
wiley +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 +10 more
wiley +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 +3 more
wiley +1 more source
Crowdsourced real-world sensing: sentiment analysis and the real-time web [PDF]
, 2010 The advent of the real-time web is proving both challeng- ing and at the same time disruptive for a number of areas of research, notably information retrieval and web data mining.
Bermingham, Adam, Smeaton, Alan F.
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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 +5 more
wiley +1 more source
Classic term weighting technique for mining web content outliers [PDF]
, 2012 Outlier analysis has become a popular topic in the field of data mining but there have been less work on how to detect outliers in web content. Mining Web Content Outliers is used to detect irrelevant web content within a web portal.
Mustapha, Aida +2 more
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