Results 81 to 90 of about 77,177 (314)

Smart Topic Miner: Supporting Springer Nature Editors with Semantic Web Technologies [PDF]

open access: yes, 2016
Academic publishers, such as Springer Nature, annotate scholarly products with the appropriate research topics and keywords to facilitate the marketing process and to support (digital) libraries and academic search engines.
Birukou, Aliaksandr   +3 more
core  

SCRIPT: Predicting Single‐Cell Long‐Range Cis‐Regulation Based on Pretrained Graph Attention Networks

open access: yesAdvanced Science, EarlyView.
SCRIPT is a novel method inferring single‐cell cis‐regulatory relationships (CRRs) from transcriptomic and chromatin accessibility data. SCRIPT incorporates two key innovations: graph causal attention networks supported by empirical CRR evidence, and representation learning enhanced through pretraining on atlas‐scale single‐cell data.
Yu Zhang   +13 more
wiley   +1 more source

The analytic hierarchy process with personalized individual semantics [PDF]

open access: yesInternational Journal of Computational Intelligence Systems, 2018
Personalized individual semantics (PIS) is not unusual in our daily life, and it has an important influence on the final decision results in linguistic decision making. The analytic hierarchy process (AHP) has now become a popular decision tool because of its sound mathematical design and ease of applicability to real-world decision making problems. In
Yucheng Dong   +3 more
openaire   +3 more sources

Dynamic Neural Deactivation Bridges Direct and Competitive Inhibition Processes

open access: yesAdvanced Science, EarlyView.
Dynamic neural deactivation bridges traditionally distinct inhibitory mechanisms—direct inhibition and competition‐induced inhibition—revealing a common neural signature across modalities. Multimodal neuroimaging and behavioral experiments demonstrate a temporal dynamic characterized by progressive frontoparietal activation decay and enhanced sensory ...
Zhenhong He   +6 more
wiley   +1 more source

Data-driven Job Search Engine Using Skills and Company Attribute Filters

open access: yes, 2017
According to a report online, more than 200 million unique users search for jobs online every month. This incredibly large and fast growing demand has enticed software giants such as Google and Facebook to enter this space, which was previously dominated
Gao, Hua   +5 more
core   +1 more source

Controllable Generation of Pathogen‐Specific Antimicrobial Peptides Through Knowledge‐Aware Prompt Diffusion Model

open access: yesAdvanced Science, EarlyView.
KPPepGen is a knowledge‐aware prompt diffusion model for the controllable generation of pathogen‐specific AMPs. It outperforms existing methods and is capable of simultaneously generating peptides for distinct pathogens, demonstrating superior performance with favorable properties and docking efficacy.
Yongkang Wang   +4 more
wiley   +1 more source

A Novel Framework for RDF Schema Extraction in NoSQL Databases Using Sentence-BERT

open access: yesIEEE Access
NoSQL databases, known for their flexibility and scalability, have become pivotal in handling diverse and unstructured data. However, their schema-less nature introduces significant challenges in metadata management, query optimization, and data ...
Saad Belefqih   +3 more
doaj   +1 more source

Statistical metadata in knowledge discovery

open access: yesDyna, 2017
Metadata represents the semantic schema of the data collected over the years by an organization in order to apply the business intelligence approach.  However, the metadata normally collected are not enough to facilitate knowledge discovery processes ...
Claudia Jiménez Ramírez   +2 more
doaj   +1 more source

Big Data Analytics for Search Engine Optimization

open access: yesBig Data and Cognitive Computing, 2020
In the Big Data era, search engine optimization deals with the encapsulation of datasets that are related to website performance in terms of architecture, content curation, and user behavior, with the purpose to convert them into actionable insights and ...
Ioannis C. Drivas   +3 more
doaj   +1 more source

The Potential of Cognitive‐Inspired Neural Network Modeling Framework for Computer Vision

open access: yesAdvanced Science, EarlyView.
In article number 202507730, Guorun Li, Lei Liu, Yuefeng Du, and co‐workers present a cognitive modeling framework (CMF) to bridge the ‘representation gap’ and ‘conceptual gap’ between cognitive theory and vision deep neural networks (VDNNs). The research findings provide new insights and solid theoretical support for VDNN modeling inspired by ...
Guorun Li   +5 more
wiley   +1 more source

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