the present sought to draw a comparison between model predictive control performance and two other controllers named simple pi and selective pi in controlling large-scale natural gas transport networks. a nonlinear dynamic model of representative gas pipeline was derived from pipeline governing rules and simulated in simulink® environment of matlab®. control schemes were designed to provide a s...

This proposal provides an introduction of the motivation behind and final end goal of our proposed project. We aim to implement an end-to-end pipeline for identifying and removing unwanted background crowds in photographs via object detection and inpainting. We also provide a brief exploration of the existing methods that we plan to build on.

We introduce a data processing pipeline designed to generate registration markers from range scan data. This approach uses curvature maps and histogram-templates to identify local surface features. The noise associated with real-world scans is addressed using a (common) Gauss filter and expansion-segmentation. Experimental results are presented for data from The Digital Michelangelo Project.

Project AI4B aims to develop a data-driven approach to establish bioenergy networks of biomass feedstock producers and collectors. The project's main target is to remove bottlenecks in the biomass supply pipeline and to develop accountable, economically and environmentally sustainable bioenergy practices.

Background Gene duplication is a major factor contributing to evolutionary novelty, and the contraction or expansion of gene families has often been associated with morphological, physiological, and environmental adaptations. The study of homologous genes helps us to understand the evolution of gene families. It plays a vital role in finding ancestral gene duplication events as well as identify...