Results 61 to 70 of about 2,430,587 (138)

Ethical Considerations in AI-driven Dynamic Pricing in the USA: Balancing Profit Maximization with Consumer Fairness and Transparency

open access: yes
Organizations in the USA are progressively employing AI-driven dynamic pricing as a strategic intervention to flexibly modify their prices based on competition, market demand, and various other factors.
Md Rokibul Hasan   +3 more
core   +1 more source

Formation resistivity inversion and uncertainty analysis based on hybrid machine learning model

open access: yes四川大学学报. 自然科学版
In the process of extended reach wells and horizontal wells, it is of great significance for geosteering work to quickly and accurately extract stratigraphic information from the logging data of LWD tools by establishing an effective inversion model ...
QIAN Yu-Qing, HE Zhi-Li
doaj  

Predictive etiological classification of acute ischemic stroke through interpretable machine learning algorithms: a multicenter, prospective cohort study

open access: yesBMC Medical Research Methodology
Background The prognosis, recurrence rates, and secondary prevention strategies varied significantly among different subtypes of acute ischemic stroke (AIS).
Siding Chen   +6 more
doaj   +1 more source

The Application of Wind Power Prediction Based on the NGBoost–GRU Fusion Model in Traffic Renewable Energy System

open access: yes
In the context of the “double carbon” goals and energy transformation, the integration of energy and transportation has emerged as a crucial trend in their coordinated development.
Xiaolong Li, Fudong Li, Yongjun Gan
core   +1 more source

JayaX: Jaya algorithm with xor operator for binary optimization

open access: yes, 2019
Jaya is a population-based heuristic optimization algorithm proposed for solving constrained and unconstrained optimization problems. The peculiar distinct feature of Jaya from the other population-based algorithms is that it updates the positions of ...
Aslan, Murat   +2 more
core   +1 more source

Imbalanced rock burst assessment using variational autoencoder-enhanced gradient boosting algorithms and explainability

open access: yes
We conducted a study to evaluate the potential and robustness of gradient boosting algorithms in rock burst assessment, established a variational autoencoder (VAE) to address the imbalance rock burst dataset, and proposed a multilevel explainable ...
Miao Dong   +4 more
core   +1 more source

MACOC: a medoid-based ACO clustering algorithm [PDF]

open access: yes, 2014
The application of ACO-based algorithms in data mining is growing over the last few years and several supervised and unsupervised learning algorithms have been developed using this bio-inspired approach. Most recent works concerning unsupervised learning
Otero, Fernando E. B.   +7 more
core   +1 more source

Uncertainty in the estimation of aboveground biomass in mangrove forests using multiple-scale sampling data

open access: yes
Most previous works on aboveground biomass (AGB) estimation provide a single estimate of AGB rather than the probability distribution of the predicted values.
Pham Q.-T.   +11 more
core   +1 more source

Graph Algorithm Animation with Grrr [PDF]

open access: yes, 2000
We discuss geometric positioning, highlighting of visited nodes and user defined highlighting that form the algorithm animation facilities in the Grrr graph rewriting programming language. The main purpose of animation was initially for the debugging and
Peter J. Rodgers   +3 more
core   +1 more source

Supplementary Material for “Algorithmic media use and algorithm literacy: An integrative literature review“ [PDF]

open access: yes, 2000
+ Table: First Order Categories, Higher Order Themes, Integrative Dimensions + Full sample of articles considered in the literature review + SM-Table 1. Dimensions of algorithm literacy according to Oeldorf-Hirsch and Neubaum (2023) and manifestations in
Gagrčin, Emilija dc.contributor.author Naab, Teresa K. dc.contributor.author Grub, Maria F.
core   +1 more source

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