Results 151 to 160 of about 2,551,510 (311)

Feature Papers in Artificial Intelligence

open access: yes
Artificial intelligence has revolutionised numerous aspects of our society [...
Valentina E. Balas   +3 more
core   +1 more source

Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach [PDF]

open access: yes
Federated Collaborative Filtering (FedCF) is an emerging field focused on developing a new recommendation framework with preserving privacy in a federated setting.
Jiang, Jing   +9 more
core   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

open access: yesAdvanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara   +8 more
wiley   +1 more source

ATP2B4 driven chromatin compaction exacerbates pancreatic cancer radiotherapy resistance

open access: yesCell Death Discovery
The intrinsic radio-resistance of pancreatic cancer cells significantly hinders therapeutic efficacy. However, the precise molecular mechanisms underlying this resistance remain inadequately understood and warrant further investigation.
Yuyu Luo   +10 more
doaj   +1 more source

Preparing for the Future of Artificial Intelligence [PDF]

open access: yes, 2016
This report surveys the current state of artificial intelligence (AI), its existing and potential applications, and the questions that are raised for society and public policy by progress in AI. This report also makes recommendations for specific further
Subcommittee on Machine Learning and Artificial Intelligence   +1 more
core  

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

open access: yesAdvanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer   +4 more
wiley   +1 more source

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

open access: yesAdvanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare   +5 more
wiley   +1 more source

OntOMat: Toward Ontology‐Based Product and Process Design Engineering and Optimization Solutions Fueling Circular Value Chains

open access: yesAdvanced Engineering Materials, EarlyView.
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ   +19 more
wiley   +1 more source

ARTIFICIAL INTELLIGENCE [PDF]

open access: yesBritish Medical Bulletin, 1971
openaire   +2 more sources

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