Data-Driven Optimization Algorithm SelectionBrownlee
Dimensionality reduction is widely used in the visualization, compression, exploration and classification of data. Yet a generally applicable solution remains unavailable. Here, we report an accurate and broadly applicable data-driven algorithm for dimen
Window-based forecasting The forecasting technique should be simple enough to run on the energy- and memory-constrained sensor nodes without incurring high costs. It may not be feasible to run a computationally intensive algorithm on the sensor nodes for a slightly improved prediction. This rules ou...
To minimise the effect of motion in PET/CT imaging, a data-driven gating (DDG)-based motion match (MM) algorithm has been developed that estimates the phase of the CThelical, and subsequently warps this CT to a given phase of the respiratory cycle, allowing it to be phase-matched to ...
Data-driven algorithms are studied and deployed in diverse domains to support critical decisions, directly impacting people’s well-being. As a result, a growing community of researchers has been investigating the equity of existing algorithms and proposing novel ones, advancing the understanding of ri...
Basically, a trained data-driven algorithm allows a computer to identify when the bit touches a shale-rich part of the formation by a continuous screening through the real-time Measurements While Drilling (MWD) data. In machine learning, this problem is referred as the two-class classification ...
Primarily, the RUL prediction algorithm is developed based on the basis of SBP or a single input profile. The SBP states to the use of single battery parameters to construct a data structure whereas, the single input profile refers to the utilization of single battery input features such as th...
Optimized flight:The IOC controls the hangar and sets fleet flight routes and mission plans based on factors such as key areas, time, and tasks. The UAVs take off automatically and the AI algorithm automatically calculates the area and location of algae and algal protein concentration. Automated ...
Spectroscopy is indispensable for determining atomic configurations, chemical bondings, and vibrational behaviours, which are crucial information for materials development. Despite their importance, the interpretation of spectra using “human-driven” me
After having discussed the most important descriptor types for predictingTn, it is interesting to consider the features that have not been selected by our algorithm. First, we note that if a feature has not been selected it does not mean that it is entirely unimportant. This is because our ...