Results 61 to 70 of about 2,291,111 (185)

A machine learning-based SNP-set analysis approach for identifying disease-associated susceptibility loci

open access: yesScientific Reports, 2022
Identifying disease-associated susceptibility loci is one of the most pressing and crucial challenges in modeling complex diseases. Existing approaches to biomarker discovery are subject to several limitations including underpowered detection, neglect ...
Princess P. Silva   +6 more
doaj   +1 more source

The Role of Dashboards in Augmented-Reality-Based Language Learning: Enhancing Language Learning and Metacognitive Awareness

open access: yesSAGE Open
The development of information and communication technologies has created limitless prospects for using augmented reality (AR) in various fields. Unfortunately, the multitasking nature of AR systems prevents learners from successfully reflecting and ...
Xuewang Geng, Masanori Yamada
doaj   +1 more source

Data-Driven Process Simulation [PDF]

open access: yes, 2018
Synonyms-Definition Data-driven process simulation is a technique which constructs a computer model that imitates the internal details of a business process and extensively uses real-life data-recorded by information systems supporting the actual process-to do so.
DEPAIRE, Benoit, MARTIN, Niels
openaire   +3 more sources

Data-driven modelling of biological multi-scale processes

open access: yes, 2015
Biological processes involve a variety of spatial and temporal scales. A holistic understanding of many biological processes therefore requires multi-scale models which capture the relevant properties on all these scales.
Hasenauer, Jan   +3 more
core   +1 more source

Data-Driven Problems in Elasticity [PDF]

open access: yesArchive for Rational Mechanics and Analysis, 2018
Result now covers the two well problem in full generality. Proof simplified.
Conti, S., Müller, S., Ortiz, M.
openaire   +3 more sources

Model-Free Data-Driven inelasticity [PDF]

open access: yesComputer Methods in Applied Mechanics and Engineering, 2019
We extend the Data-Driven formulation of problems in elasticity of Kirchdoerfer and Ortiz (2016) to inelasticity. This extension differs fundamentally from Data-Driven problems in elasticity in that the material data set evolves in time as a consequence of the history dependence of the material.
R. Eggersmann   +4 more
openaire   +4 more sources

Zero-Shot Learning for Sustainable Municipal Waste Classification

open access: yesRecycling
Automated waste classification is an essential step toward efficient recycling and waste management. Traditional deep learning models, such as convolutional neural networks, rely on extensive labeled datasets to achieve high accuracy.
Dishant Mewada   +5 more
doaj   +1 more source

Data-driven backward chaining [PDF]

open access: yes
The C Language Integrated Production System (CLIPS) cannot effectively perform sound and complete logical inference in most real-world contexts. The problem facing CLIPS is its lack of goal generation.
Haley, Paul
core   +1 more source

Assessing the current landscape of AI and sustainability literature: identifying key trends, addressing gaps and challenges

open access: yesJournal of Big Data
The United Nations’ 17 Sustainable Development Goals stress the importance of global and local efforts to address inequalities and implement sustainability.
Shailesh Tripathi   +4 more
doaj   +1 more source

Self Healing of a Mixed Autonomy Traffic System Using Reinforcement Learning and Attention

open access: yesIEEE Open Journal of Intelligent Transportation Systems
As urban traffic becomes increasingly complex with the integration of connected and autonomous vehicles alongside human-driven vehicles, there is a critical need for adaptive traffic management systems capable of self-healing in response to disruptions ...
Safia Fatima   +2 more
doaj   +1 more source

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