Results 201 to 210 of about 3,424,284 (379)

Do Not Let the Beginning Trap you! On Inhibition, Associative Creative Chains, and Hopfield Neural Networks

The Journal of Creative Behavior, EarlyView.
ABSTRACT Creative thinking stems from the cognitive process that fosters the creation of new ideas and problem‐solving solutions. Artificial intelligence systems and neural network models can reduce the intricacy of understanding creative cognition. For instance, the generation of ideas could be symbolized as patterns of binary code in which clusters ...
Ronald Mtenga, Mathias Bode, Radwa Khalil   +2 more
wiley   +1 more source

Domain‐adapted driving scene understanding with uncertainty‐aware and diversified generative adversarial networks

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Autonomous vehicles are required to operate in an uncertain environment. Recent advances in computational intelligence techniques make it possible to understand driving scenes in various environments by using a semantic segmentation neural network, which assigns a class label to each pixel.
Yining Hua, Jie Sui, Hui Fang, Chuan Hu, Dewei Yi   +4 more
wiley   +1 more source

Efficiency of oral keratinized gingiva detection and measurement based on convolutional neural network

Journal of Periodontology, EarlyView.
Abstract Background With recent advances in artificial intelligence, the use of this technology has begun to facilitate comprehensive tissue evaluation and planning of interventions. This study aimed to assess different convolutional neural networks (CNN) in deep learning algorithms to detect keratinized gingiva based on intraoral photos and evaluate ...
Gokce Aykol‐Sahin, Ozgun Yucel, Nihal Eraydin, Gonca Cayir Keles, Umran Unlu, Ulku Baser   +5 more
wiley   +1 more source

A safe reinforcement learning approach for autonomous navigation of mobile robots in dynamic environments

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract When deploying mobile robots in real‐world scenarios, such as airports, train stations, hospitals, and schools, collisions with pedestrians are intolerable and catastrophic. Motion safety becomes one of the most fundamental requirements for mobile robots.
Zhiqian Zhou, Junkai Ren, Zhiwen Zeng, Junhao Xiao, Xinglong Zhang, Xian Guo, Zongtan Zhou, Huimin Lu   +7 more
wiley   +1 more source

Indistinguishability in controlled query evaluation over prioritized description logic ontologies

Web Semantics
In this paper we study Controlled Query Evaluation (CQE), a declarative approach to privacy-preserving query answering over databases, knowledge bases, and ontologies. CQE is based on the notion of censor, which defines the answers to each query posed to
Gianluca Cima, Domenico Lembo, Lorenzo Marconi, Riccardo Rosati, Domenico Fabio Savo   +4 more
doaj  

A Process Algebraic Approach to Concurrent and Distributed Quantum Computation: Operational Semantics

, 2004
Marie Lalire, Philippe Jorrand
openalex   +2 more sources

Development of an Open‐Source Algorithm for Automated Segmentation in Clinician‐Led Paranasal Sinus Radiologic Research

The Laryngoscope, EarlyView.
The purpose of this study was to validate and provide an open‐source segmentation algorithm of paranasal sinus CT scans for the otolaryngology research community. This can be used for further AI‐based analysis and radiomic analysis in future research. ABSTRACT Objective Artificial Intelligence (AI) research needs to be clinician led; however, expertise
Rhea Darbari Kaul, Wenjin Zhong, Sidong Liu, Ghasem Azemi, Kate Liang, Emma Zou, Peta‐Lee Sacks, Cedric Thiel, Raewyn Gay Campbell, Larry Kalish, Raymond Sacks, Antonio Di Ieva, Richard John Harvey   +12 more
wiley   +1 more source

Comparisons and computation of well-founded semantics for disjunctive logic programs

, 2005
Kewen Wang, Lizhu Zhou
openalex   +1 more source

Proceedings of the 13th International Conference on Computational Semantics - Long Papers [PDF]

, 2019

openalex   +1 more source

Natural Language Processing Algorithms to Improve Digital Marketing Data Quality and Its Ethical Implications

Psychology &Marketing, EarlyView.
ABSTRACT The ethical implications of personalization in digital marketing are significantly greater when companies adapt their marketing actions to individual consumer preferences. While this approach helps to reduce oversaturation and a sense of irrelevance among consumers, it also raises concerns about privacy and potential algorithmic bias. One form
Sergi Pons, Ruben Huertas‐Garcia, Jorge Lengler, Daniel Luiz de Mattos Nascimento   +3 more
wiley   +1 more source