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 Machine Learning, we will look into Google Translate. To get more insights into Machine...
The science behind ML is to make computers perform actions by themselves. A Machine Learning algorithm is a generic program that will understand the data, and build models with that data. These models are available for the end-users to carry out tasks. =>SCROLL DOWNTo See The List Of In-...
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 ...
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...
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...
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 specifie...
Two types of ML are discussed here: supervised and unsupervised learning. During supervised learning, an algorithm is trained on a “training dataset” to recognise the patterns that are associated with specific “labels” (for example, healthy or diseased). Once predictive patterns have been learne...
The algorithm and complexity of secure domination in 3-dimensional box graphs Cai-Xia Wang, Yu Yang, Shou-Jun Xu15 May 2025 Pages 63-74 Article preview select article Automorphism group of a graph related to zero-divisor graphs Research articleAbstract only Automorphism group of a graph related...
Pavithra D. Jayanthi A. A study on machine learning algorithm in medical diagnosis. Int J Adv Res Comput Sci. 2018;9(4). Rohmetra H, Raghunath N, Narang P, Chamola V, Guizani M, Lakkaniga NR. AI-enabled remote monitoring of vital signs for covid-19: methods, prospects and challenge...