Intelligent reservoir characterization using seismic attributes and hydraulic flow units has a vital role in the description of oil and gas traps. The predicted model allows an accurate understanding of the reservoir quality, especially at the un-cored well location. This study was conducted in two major steps. In the first step, the survey compared different intelligent techniques to discover ...

Genre provides one of the most convenient categorizations of music, but it is often regarded as a poorly defined or largely subjective musical construct. In this work, we provide evidence that musical genres can to a large extent be objectively modeled via a combination of musical attributes. We employ a data-driven approach utilizing a subset of 48 hand-labeled musical attributes comprising in...

This paper proposes a method for the automatic extraction of building roof contours from a LiDAR-derived digital surface model (DSM). The method is based on two steps. First, to detect aboveground objects (buildings, trees, etc.), the DSM is segmented through a recursive splitting technique followed by a region merging process. Vectorization and polygonization are used to obtain polyline repres...

We have witnessed a rapid expansion of in vitro characterization and differentiation of adipose-derived stem cells, with increasing translation to both in vivo models and a breadth of clinical specialties. However, an appreciation of the truly heterogeneous nature of this unique stem cell group has identified a need to more accurately delineate subpopulations by any of a host of methods, to inc...

This paper proposes a novel adaptive intelligent global sliding mode control for the tracking of DC-DC buck converter with time-varying uncertainties/disturbances. The proposed law is formulated using switching surface that eliminates reaching phase and ensures existence action from start. derived based on Lyapunov stability theory. effectiveness approach illustrated via high-fidelity simulatio...

in this research, the production of plum pastille-like with starch and gelatin was studied. thirteen formulation of plum pastille-like were prepared according to a second-order composite rotatable design (with five central points). response surface methodology (rsm) was used to optimize product formulation with: gelatin concentration ranging from 3.85 to 6.925 % (w/w), and starch concentration ...

This paper deals with the problem of machine learning on sets of documents connected into graphs. Our strategy is to represent each document by a diverse set of heterogeneous attributes, including traditional binary and categorical attributes, textual attributes, and attributes derived from the graphs. We present experiments on two datasets, showing the usefulness of graph-based attributes and ...