Computer Science - Data Structures and AlgorithmsAll consensus hierarchies in the literature assume that we have, in addition to copies of a given object, an unbounded number of registers. But why do we really
15,16. For example, full training of a BERT model consumes ~103,593 kWh of electricity9. The use and deployment of AI models can also contribute to carbon emissions through the use of energy-intensive hardware, such as GPUs and tensor processing...
partial importance Despite the practical value, and in contrast with their often clearly stated mathemati- cal formulas and algorithms, it is generally unclear what the proposed measures exactly measure. That is, there is no consensus about what variable importance means theoreti- cally, nor about ...
Performance sensitivity analysis of brain metastasis stereotactic radiosurgery outcome prediction using MRI radiomics Article Open access 05 December 2022 Comparative performances of machine learning algorithms in radiomics and impacting factors Article Open access 28 August 2023 Introduction...
In 2 cases of patients without CAD, the automated algorithms failed and no results could be calculated. In both cases, this was due to the low quality of the diluted pre-bolus used for the estimation of the arterial input function. Level-3 visual assessment of the 2 cases where ...
As a look at thetrends that are reshaping risk managementshows, the field is brimming with ideas as well as new requirements and challenges. Prominent among the latter is the growing need tomanage AI-related risksin organizations. Some of those risks include potential bias in AI algorithms; del...
(2020) studied Vendor Managed Inventory (VMI) in the supply chain and examined the application of Blockchain technology. For this purpose, a public framework was introduced, and artificial intelligence algorithms were used to evaluate it. Artificial intelligence's ability to enhance the applicant and...
These search strategies can be manually assigned through blinded categorisation or be analysed using automated algorithms. While historically latency and distance have been used as measures of cognitive disturbance in the MWM, time spent in the target quadrant on the probe day and search strategy are...
Scoring algorithms are typically developed from the quality of life preferences of large general population based samples; the majority of whom are living without disability [3]. One of the most widely used generic preference- based measures internationally is the EuroQoL Five Dimension (EQ-5D) ...
Such automated detection algorithms or risk prediction models could be used in early recognition and timely management of AKI22,23 and are considered a highly promising breakthrough for medicine24,25. These algorithms and models, however, are trained on databases which may contain different ‘ground...