Anomaly detection is a highly important task in the field of data analysis. Traditional anomaly detection approaches often strongly depend on data size, structure and features, while introducing the idea of ensemble into anomaly detection can greatly imp
Therefore, numerical sample of rock based on the discrete element method (DEM), with controllable mineral compositions and microstructures, is normally used to analyze various properties of rocks19. By using this strategy, one can conduct multiple numerical tests with different external responses on th...
[ 2 ], where the analysis of underlying relationships in protein data can potentially yield and considerably expand useful insights into roles of proteins in biological processes. that is, protein-protein interactions (ppi) can provide us with a good opportunity to systematically analyze the ...
Therefore, the importance of hazard control and governance of rail transit operation under super large-scale network is self-evident. This study presents a novel approach that integrates data mining and information fusion technologies to analyze the safety status of metro operation based on accumulated...
1. Detailed flow chart for coupled hydro-mechanical simulation is presented in Fig. 2. A DEM model was used to analyze the effects of fluid rheology, rates of pressurization and permeability, on hydraulic fracture propagation. The following sections describe the numerical in detail. It is ...
PURPOSE: A flow data analysis method by parallel operation is provided to distribute flow data to a plurality of servers and to analyze the flow data in the server. CONSTITUTION: A manager node reads flow data stored in a file system from the first line of the flow data, and assigns and...
2.1. Temporal patterns in biomedical data Medicine and time are inextricably linked, as biology, pathogenesis, diagnosis, and treatment follow complex time-oriented processes. For example, it is well known that biology adheres to temporal rhythms [13] and that infectious diseases progress according ...
Learn how to use the min-max inventory system to automatically replenish inventory, ensuring you always have the right amount on hand.
Reservoir computing (RC) is a recently introduced bio-inspired computational framework capable of excellent performances in the temporal data processing, owing to its derivation from the recurrent neural network (RNN). It is well-known for the fast and e
Chaos, or exponential sensitivity to small perturbations, appears everywhere in nature. Moreover, chaos is predicted to play diverse functional roles in living systems. A method for detecting chaos from empirical measurements should therefore be a key co