There are three types of returns a LiDAR sensor can record (i.e., single, or multiple returns and full waveform, the two first can be derived from the third), and the algorithms must be developed accordingly. H
The efficacy of machine learning algorithms can fluctuate based on whether scaling is implemented and the chosen scaling method [30]. In this study, min-max scaling was employed, which transforms all data into a range between 0 and 1 by utilizing the minimum and maximum values. This ...
Compression algorithms, similar to DL autoen- coders, have demonstrated efficacy in constructing embedding vectors for classification tasks, particularly in out-of-distribution domains [37]. Furthermore, NLP embedding tech- niques have been used to generate concise and scalable features for virome ...
First, the CRC module supports user decision-making by automatically searching for project risk clauses based on machine learning (ML) algorithms and presenting the results. An algorithm that extracts the original text in the ITB documents and generates the result in the data frame format (comma-...
(3) It allows the use of batteries to supply the system allowing in field acquisition campaigns. (4) Using a release of Linux, it avoids use of proprietary OSs. (5) It allows for direct programming by the user; therefore, it is possible to develop both the standard algorithms already ...
Section 3.3 introduces the workflow and algorithms used in image processing and analysis. 3.1. ArcCI Architecture and Database Design The ArcCI architecture (Figure 2) consists of three layers. The distributed physical infrastructure layer (bottom layer) provides the physical computing resources for ...