c. Front-back confusions by each of the algorithms from B. Chance level is 50%. Our main model (that is, the one trained with ears) is the only model whose front-back confusions are substantially below chance levels, confirming the utility of head-related transfer function cues for ...
Beyond individual performance, data analytics is reshaping team strategies in multifaceted ways. Coaches can now delve deeper into opponent analysis, dissecting not just overall team tendencies but also individual player behaviours. Using advanced algorithms and machine learning techniques, teams can predict...
In this article, we focus on the mainstream class of such algorithms, which is based on similarity indices13, whereby the topology of a given network is analysed to quantify the similarity between any two disconnected nodes. Here, the underlying assumption is that the greater the similarity ...
Using the new criterion, an algorithm of blind decision feedback equalisation, based on constrained optimisation, is proposed. The new algorithm does not admit degenerative solutions therefore should be preferred among the analysed algorithms. Also, the problem of false phase lock, characteristic of ...
1. What is the batch processing cycle? The batch processing cycle involves collecting data from multiple sources, cleaning and formatting it, and grouping it into batches based on time, size, or other criteria. These batches are then processed using specific algorithms, and the results are stored...
Advanced algorithms in ML can also uncover intricate patterns and interrelations within data, such as the influence of weather on sales or how seasonality affects advertising effectiveness, offering insights that might be elusive to human analysis. ...
As a part of my learning experience in regards to wavelet analysis using MATLAB, I see that users don't have to explicitly define the scaling parameter of the wavelet. Instead the scaling parameter is computed automatically. In fact when I check the documentation of continuous wavelet ...
Next to that, when advocating the benefits of AI, the community predominantly refers to research outputs where the performance of AI algorithms is assessed in controlled settings. There is a need for ‘real-world’ evidence regarding the benefits of AI in clinical practice that are lived and ...
Today, social media algorithms can incite communal hatred, artificial intelligence can reflect racial bias, and a diplomatic tweet can tank a company’s stocks. Education that ignores these connections leaves students unequipped for the real world. What can we do? We need to reimagine interdiscipl...
Antimicrobial resistance (AMR) is an urgent public health threat. Advancements in artificial intelligence (AI) and increases in computational power have resulted in the adoption of AI for biological tasks. This review explores the application of AI in ba