Results 81 to 90 of about 364,970 (290)
Advanced Intelligent Discovery, EarlyView.Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets +4 more
wiley +1 more source
International Journal Of Engineering And Computer Science, 2017 Web Mining is extracting information from the web re-sources and finding interesting patterns that can be useful from ever expanding database of World Wide Web. Whenever we talk about data, we conclude that there is a huge range of data on World Wide Web.
openaire +1 more source
Web Content Mining and its Tools
, 2022 This paper presents the small print of searching or extracting information from the online . It also discusses main tasks involved in web mining. It mainly focuses on the kinds of web page mining like Unstructured, Structured and Semi-structured types. Finally, some tools that are used for mining is additionally focused during this paper.
openaire +1 more source
Position score weighting technique for mining web content outliers. [PDF]
, 2013 The existing mining web content outlier methods used stemming algorithm to preprocess the web documents and leave the domain dictionary in their root words. The stemming algorithm was usually used to reduce derived words to their stem, base or root form.
Mustapha, Aida, Mustapha, Norwati
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Advanced Experiment Design Strategies for Drug Development
Advanced Intelligent Discovery, EarlyView.Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang +3 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
AN ENSEMBLE FEATURE SELECTION METHOD TO DETECT WEB SPAM
Asia-Pacific Journal of Information Technology and Multimedia, 2018 Feature selection is an important issue in data mining, and it is used to reduce dimensions of features set. Web spam detection is one of research fields of data mining.
Mahdieh Danandeh Oskouei +1 more
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri +6 more
wiley +1 more source
The Implementation of Knowledge Management Based On Web 2.0 on Social News Site Hipwee
Record and Library Journal, 2019 The emergence of various kinds of social media applications does not only affect the way people communicate, but also penetrates into the realm of online mass media.
Mufida Cahyani
doaj +1 more source
Alkalmazott algoritmusok nagyméretű feladatokra = Applied algorithms for large-scale problems [PDF]
, 2011 Alap és alkalmazott kutatást végeztünk a következő fő területeken: - Formális matematikai módszerek adatbányászatban és optimalizálásban; - Nagyméretű adatok elemzése és modellezése, hálózatokkal kapcsolatos üzleti intelligencia alkalmazásokban ...
Benczúr, András +16 more
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