In particular, when the objective problems (F5-F8) involve several local optima, KCGWO's outperformance demonstrates a sufficient explorative nature. This is due to the effectiveness with which the K-means clustering structure can boost the GWO's performance for exploration and exploitation. Lower ...
Y. I. Practical crossing fiber imaging with combined DTI datasets and generalized reconstruction algorithm. in Proc. Intl Soc. Magnetic Resonance Med. 365 (2009). Özarslan, E. et al. Mean apparent propagator (MAP) MRI: a novel diffusion imaging method for mapping tissue microstructure. Neuro...
However, due to several factors (e.g., atmospheric conditions, the canopy structure or background, vegetation heterogeneity, etc.), such a quantification is not accurate enough to monitor the vegetation state. The use of vegetation indices (VIs), such as the NDVI and the enhanced vegetation ...
For each structure of each atlas, the ratio between the tumor volume overlapping the structure and the total tumor volume was computed and expressed as a percentage. Figure 2. Illustration of the different atlases used for feature computation, all expressed in the MNI (Montreal Neurological ...
LightFM- A Python implementation of LightFM, a hybrid recommendation algorithm. Spotlight- Deep recommender models using PyTorch. Surprise- A Python scikit for building and analyzing recommender systems. RecBole- A unified, comprehensive and efficient recommendation library. ...
(Nayak, Mrazek, & Smith, 1995). Researchers and practitioners took up questions about how usability data should be gathered, analyzed, and reported. Qualitative usability data are observational, requiring interpretation. Without practical tools to structure the problems, issues, and concepts, however,...
Nanocubes - An in-memory data structure for spatiotemporal data cubes. Github Link NextGIS Web - An open source framework for storage, visualization and permissions management of all kinds of geospatial data. OpenTileServer - This script is for building a basic tile server with OpenStreetMap data...
Finally, a penalized GEE method that is consistent even when the working correlation structure is misspecified was presented in [43]. Some Bayesian techniques include [44–46] among others. The first used a Cholesky decomposition of the random effects covariance matrix and introduced a further ...
In order to quickly and accurately monitor the forest disturbance in the core area of the urban agglomeration, this study uses Landsat time series data to monitor the forest disturbance in Google Earth Engine (GEE) using LandTrend algorithm.Based on the Landsat time series data of the vegetation...
algorithm for step 3 for the TCGA.BRACA, OXF.BRCA.1 and OXF.BRCA.2 datasets (Table2). At the last step, the matrix factorization approach provided lower errors and greater stability as compared with the general linear integration methods on the majority of the datasets. This result ...