In an endeavor to study natural systems at multiple spatial and taxonomic resolutions, there is urgent need for automated, high-throughput frameworks that can handle plethora of information. The coalescence remote-sensing, computer-vision, deep-learning elicits a new era in ecological research. However, complex systems, such as marine-benthic habitats, key processes still remain enigmatic due t...

In the current COVID-19 pandemic, people expect to use robots replace humans complete disinfection work in public places. Since different regions environment have risks, addition conventional SLAM capability, robot also needs be able recognize and distinguish objects scene customizable tasks. this paper, we propose a LiDAR-based semantic mapping system that can used for robotic By using prior i...

Performing collaborative semantic mapping is a critical challenge for cooperative robots to enhance their comprehensive contextual understanding of the surroundings. This article bridges gap between advances in geometry that relies on pure information fusion, and single robot focuses integrating continuous raw sensor data. In this article, novel hierarchical probabilistic framework proposed, wh...

Modeling domain knowledge as Linked Data is not straightforward for data publishers, because they are domain experts and not Semantic Web specialists. Most approaches that map data to its semantic representation still require users to have knowledge of the underlying implementations, as the mapping definitions remained, so far, tight to their execution. Defining mapping languages enables to dec...

An automated vehicle operating in an urban environment must be able to perceive and recognise objects obstacles a three-dimensional world for navigation path planning. In order plan execute accurate sophisticated driving maneuvers, high-level contextual understanding of the surroundings is essential. Due recent progress image processing, it now possible obtain high definition semantic informati...

Analysis of error types provides useful information about the stages and processes involved in normal and aphasic word production. In picture naming, semantic errors (horse for goat) generally result from something having gone awry in lexical access such that the right concept was mapped to the wrong word. This study used the new lesion analysis technique known as voxel-based lesion-symptom map...