So, this was about Google Maps using a Machine Learning algorithm to analyze and predict the result using your data. More data you feed more accurate it becomes! Now, moving ahead with the applications of Machin
In this chapter, an algorithm based on moving least squares particle hydrodynamics (MLSPH) to solve free surface flow is presented. MLS shape functions remarkably improve stability and accuracy of standard SPH algorithms, providing a clear framework for the derivation of the discretized equations. ...
Artificial intelligence (AI) renders cutting-edge applications in diverse sectors of society. Due to substantial progress in high-performance computing, the development of superior algorithms, and the accumulation of huge biological and chemical data, computer-assisted drug design technology is playing a ...
a–d, Number of publications based on publication year (a,b); algorithm used (overlapped regions in the bar ‘NN’ indicate that publications of interest include both regression and classification tasks or both classification and clustering tasks) (c); and sample size (presented as relative frequ...
Recently, coronavirus disease 2019 (COVID-19) has become a prevalent threat for the human life all over the world. The propagation of this virus is very fast, and due to its contagious nature, it is infecting millions of people globally. Scientists and r
Fig. 2: Key steps of ML-assisted microbiome analysis. Generally, analysis begins with a feature table describing the functional or taxonomic profile of a microbiome. As part of the pre-processing step, this table can be transformed, imputed, or augmented, among other processes. The outcome of...
The next building block of KDN is SDN, which enables the global network view, network programmability functions, and flexibility to manage the network. The combination of network analytics and SDN provides a foundation for the KDN paradigm. However, an ML algorithm will be the heart of KDN, ...
ECN is a feature that is used between two ECN-enabled endpoints. Nexus 9000 switches can mark packets with ECN bits in case of network congestion. An ECN-capable network node uses a congestion avoidance algorithm to check the amount of the queue being used, and after a specified...
Lindstrom and Isenburg, Fast and Efficient Compression of Floating-Point Data (CPU-based) Various GPU works from Martin Burtscher's group at Texas State such as Yang et al., MPC: A Massively Parallel Compression Algorithm for Scientific Data These works are sometimes oriented at compressing HPC-...
Fig. 2: Data characteristics from the literature survey of 389 peer-reviewed publications on machine learning for concrete science. a–d, Number of publications based on publication year (a,b); algorithm used (overlapped regions in the bar ‘NN’ indicate that publications of interest include bot...