Results 21 to 30 of about 6,753,811 (352)
Ontology-Based Knowledge Representation in Robotic Systems: A Survey Oriented toward Applications
Applied Sciences, 2021 Knowledge representation in autonomous robots with social roles has steadily gained importance through their supportive task assistance in domestic, hospital, and industrial activities.
S. Manzoor +6 more
semanticscholar +1 more source
Comprehensive machine learning based study of the chemical space of herbicides
Scientific Reports, 2021 Widespread use of herbicides results in the global increase in weed resistance. The rotational use of herbicides according to their modes of action (MoAs) and discovery of novel phytotoxic molecules are the two strategies used against the weed resistance.
Davor Oršolić +3 more
doaj +1 more source
A Systematic Review of Current Strategies and Methods for BIM Implementation in the Academic Field
Applied Sciences, 2021 Since the international governmental institutions required and/or recommended (according to the regulations of each country and continent) all public works to be certified in the BIM (Building Information Modeling) methodology, public and private ...
Alia Besné +6 more
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Scientific Reports, 2023 The complexity of the cerebral cortex underlies its function and distinguishes us as humans. Here, we present a principled veridical data science methodology for quantitative histology that shifts focus from image-level investigations towards neuron ...
Andrija Štajduhar +4 more
doaj +1 more source
From Knowledge Organization to Knowledge Representation [PDF]
KNOWLEDGE ORGANIZATION, 2014 LIS developed its own very successful solutions for the classification and search of documents. In KO, search is focused on document properties (e.g. title, author, subject). KO tends to fail in situations when users express their needs in terms of entity properties (e.g., of the author).
Giunchiglia, Fausto +2 more
openaire +5 more sources
Towards a knowledge graph for pre-/probiotics and microbiota–gut–brain axis diseases
Scientific Reports, 2022 Scientific publications present biological relationships but are structured for human reading, making it difficult to use this resource for semantic integration and querying.
Ting Liu +4 more
doaj +1 more source
Representation and misrepresentation of knowledge
Behavioral and Brain Sciences, 2021 Abstract I argue for three points: First, evidence of the primacy of knowledge representation is not evidence of primacy of knowledge. Second, knowledge-oriented mindreading research should also focus on misrepresentations and biased representations of knowledge.
openaire +5 more sources
Pretrain-KGE: Learning Knowledge Representation from Pretrained Language Models
Findings, 2020 Conventional knowledge graph embedding (KGE) often suffers from limited knowledge representation, leading to performance degradation especially on the low-resource problem.
Zhiyuan Zhang +5 more
semanticscholar +1 more source
Incorporating GAN for Negative Sampling in Knowledge Representation Learning [PDF]
AAAI Conference on Artificial Intelligence, 2018 Knowledge representation learning aims at modeling knowledge graph by encoding entities and relations into a low dimensional space. Most of the traditional works for knowledge embedding need negative sampling to minimize a margin-based ranking loss ...
Peifeng Wang, Shuangyin Li, Rong Pan
semanticscholar +1 more source
Artificial Intelligence and Healthcare [PDF]
Journal of Clinical and Diagnostic Research, 2022 Indian economy is rapidly growing with the world’s second largest population where the young people are eager to adopt Artificial Intelligence (AI) to resolve complex problems. “AI is a branch of computer science capable of analysing complex medical data”
Harish Rangareddy +1 more
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