Results 51 to 60 of about 2,726,110 (255)

An Explainable Artificial Intelligence Approach for Multi-Criteria ABC Item Classification

Journal of Theoretical and Applied Electronic Commerce Research, 2023
Multi-criteria ABC classification is a useful model for automatic inventory management and optimization. This model enables a rapid classification of inventory items into three groups, having varying managerial levels. Several methods, based on different
Alaa Asim Qaffas, Mohamed-Aymen Ben HajKacem, Chiheb-Eddine Ben Ncir, Olfa Nasraoui   +3 more
doaj   +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

Scaling up Pattern Induction for Web Relation Extraction through Frequent Itemset Mining [PDF]

, 2008
Blohm S, Cimiano P. Scaling up Pattern Induction for Web Relation Extraction through Frequent Itemset Mining. In: Adrian B, Neumann G, Troussov A, Popov B, eds.
Troussov, Alexander, Adrian, Benjamin, Neumann, Günter, Popov, Borislav, Blohm, Sebastian, Cimiano, Philipp ; https://orcid.org/   +5 more
core  

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

Web Mining Functions in an Academic Search Application [PDF]

Informatică economică, 2009
This paper deals with Web mining and the different categories of Web mining like content, structure and usage mining. The application of Web mining in an academic search application has been discussed.
Jeyalatha SIVARAMAKRISHNAN, Vijayakumar BALAKRISHNAN   +1 more
doaj  

Post-processing of Deep Web Information Extraction Based on Domain Ontology

Advances in Electrical and Computer Engineering, 2013
Many methods are utilized to extract and process query results in deep Web, which rely on the different structures of Web pages and various designing modes of databases. However, some semantic meanings and relations are ignored.
PENG, T., LIU, L.
doaj   +1 more source

Unveiling the Taxonomic Diversity and Unprecedented Biosynthetic Treasure of the Phylum Myxococcota

Advanced Science, EarlyView.
Natural products remain vital sources of therapeutics, and the phylum Myxococcota constitutes an especially rich reservoir for them. Based on decades of microbiological efforts, we present 154 new Myxococcota genomes and revise taxonomy quadrupling the number of families and genera.
Amay Ajaykumar Agrawal, Ronald Garcia, Guangyi Chen, Chantal D. Bader, Peter Sullivan, Alexander Popoff, Daniel Krug, Maja Hunter, Sebastian Walesch, Emilia Oueis, Christine Frank, Haowen Zhao, Joachim J. Hug, Sebastian Keller, Pascal Hirsch, Azat Tagirdzhanov, Tatiana Malygina, Mary Victory E. Gutierrez, Alexey Gurevich, Judith Boldt, Boyke Bunk, Jörg Overmann, Ulrich Nübel, Andreas Keller, Olga V. Kalinina, Rolf Müller   +25 more
wiley   +1 more source

A Review of the State of the Art of Machine Learning on the Semantic Web [PDF]

, 2003
This paper reviews the current state of the art of machine learning applied to the Semantic Web. It looks at the Semantic Web and its languages, including RDF and OWL, from a machine learning perspective.
Price, SN
core  

Deep Learning‐Driven Discovery and Engineering of an Efficient PETase for Depolymerization and Detoxification of PET Microplastics Under Physiological Conditions

Advanced Science, EarlyView.
A deep learning–driven pipeline mining 246 million protein sequences uncovers AhPETase, an evolutionarily distinct PET hydrolase. Engineered variant AhPETaseM1 degrades post‐consumer PET microplastics under physiological conditions and reverses microplasticinduced cytotoxicity in human lung and colon cells, establishing enzymatic microplastic ...
Yuxuan Wang, Shijie He, Yuheng Chang, Sheng Mao, Jianan Canal Li, Binbin Chen, Hongxun Gao, Mingchun Xu, Chenxu Liu, Yajie Wang   +9 more
wiley   +1 more source

EVALUATION OF WEB SEARCHING METHOD USING A NOVEL WPRR ALGORITHM FOR TWO DIFFERENT CASE STUDIES [PDF]

ICTACT Journal on Soft Computing, 2012
The World-Wide Web provides every internet citizen with access to an abundance of information, but it becomes increasingly difficult to identify the relevant pieces of information.
V. Lakshmi Praba, T. Vasantha
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