In this Perspective, we outline fairness in machine learning through the lens of healthcare, and discuss how algorithmic biases (in data acquisition, genetic variation and intra-observer labelling variability, in particular) arise in clinical workflows and the resulting healthcare disparities. We also...
This article aims to develop a fast, trustworthy routing algorithm for autonomous vehicles without requiring learning data, where the routing problem with special constraints and features is an extended version of the orienteering problem. For this, firstly, the method for selecting trustworthiness requir...
A methodology based on deep Q-learning/genetic algorithms for optimizing covid-19 pandemic government actions. In: M. d'Aquin and S. Dietze, eds. Proceedings of the 29th ACM international conference on information & knowledge management, CIKM '20, Virtual Event, Ireland. New York, NY: ...
Genetic Algorithm: Genetic algorithms (GAs) are a class of optimization methods that are based on various computational models of Darwinian evolution [Goldberg 1989] 6.A Genetic Algorithm is a large-scale optimization algorithm mimicking a biological evolution in a randomly generated population. A ...
employed bees become scouts, reflecting exploration–exploitation dynamics. In the ABC algorithm, sources represent solutions, nectar indicates fitness, and onlookers choose based on probabilities. The ABC process involves four basic phases: (a) initialization, (b) employed bee, (c) onlooker bee, (...
In this article, we aim to introduce a series of basic concepts about artificial intelligence (AI) applied to dermatology, and we will present a range of examples of how AI can be applied in our specialty. Our aim is to encourage all dermatologists to deepen their understanding of this new...
(PDF), and to fit parameters for every distribution. Generally, the methods rely on specific implementations for each distribution, such as a closed-form expression of the CDF or a sampling algorithm, if available. Otherwise, default methods are used based on generic code, for example, ...
Encryption algorithm Strengths Weaknesses Cloud computing Evaluation metrics Attacks Data encryption Figure4explains the complete process under one umbrella, where it’s time to uncover the findings we analyzed during our review study. The next part explains the basic structure of DNA. ...
The polynomial separation method was used to produce the third degree regional and residual maps. The algorithm by Gupta and Murthy et al. [45,46] was used to adjust the polynomial surfaces to the Bouguer anomaly map. This method is based on ...
(Citation2019) presented a hybrid method based on a genetic algorithm and ant colony optimisation to combine the advantages of the former, namely, high initial speed-up convergence, and the merits of the latter, namely, parallelism and effective feedback. The method was tested via a simulation ...