Abstract: A computer-implemented method, a computer system, and a computer program product for trajectory similarity search is provided. The present invention may include, in response to receiving, by one or more processors, a search request for at least one trajectory similar to a query trajectory, determining, by one or more processors, a respective similarity between a query trajectory and a plurality of trajectories by calculating, in a synchronized way, a spatial distance measure and a time difference measure between the query trajectory and the plurality of trajectories. The present invention may further include, identifying, by one or more processors, the at least one trajectory from the plurality of trajectories based on the respective similarity between the query trajectory and the plurality of trajectories.

Abstract: System and methods for generating synthetic data according to a plurality of options are provided. According to a first option, synthetic data is generated based on an indication of one or more target distributions. According to a second option, a one or more target distributions are determined based on a sample data set, and synthetic data is generated based on the determined target distribution(s). According to a third option, a temporary synthetic data set is generated based on an indication of one or more target distributions, matches between the temporary synthetic data set and a sample data set are then identified, and a synthetic data set is then generated based on the identified matches. A system may automatically determine which option to leverage based on whether a user provides a sample data set, one or more target distributions, or both.

Abstract: Systems/techniques that facilitate AI-based region-of-interest masks for improved data reconstructions are provided. In various embodiments, a system can access a set of two-dimensional medical scan projections. In various aspects, the system can generate a set of two-dimensional region-of-interest masks respectively corresponding to the set of two-dimensional medical scan projections. In various instances, the system can generate a region-of-interest visualization based on the set of two-dimensional region-of-interest masks and the set of two-dimensional medical scan projections. In various cases, the system can generate the set of two-dimensional region-of-interest masks by executing a machine learning segmentation model on the set of two-dimensional medical scan projections.

Abstract: Disclosed herein are methods and systems for generating a merged dataset, comprising: accessing data comprising a core dataset and an additional dataset; identifying a plurality of common attributes between the core dataset and the additional dataset; determining a plurality of similarity scores between an inquiring entity in the core dataset and a plurality of candidate entities in the additional dataset, including, for each candidate entity of the plurality of candidate entities: calculating a similarity score for the candidate entity based at least in part on a distance-based score and a weight influence score; selecting one or more matches for the inquiring entity in the core dataset from the plurality of candidate entities in the additional dataset based at least in part on the plurality of similarity scores; and generating the merged dataset by adding the one or more selected matches for the inquiring entity to the core dataset.

Abstract: A zero emission waste system comprising a waste treatment unit that couples to a facility. The waste treatment unit is onsite with the facility either within the facility or local to the facility for treating waste produced by the facility. Alternatively, the waste treatment unit can be mobile that is designed to couple to the facility for waste disposal. The waste treatment unit comprises a gasification reactor, a syngas treatment unit, and a synthetic fuel generator for treating and converting waste. The synthetic fuel generator comprises an electrolysis unit and a liquid fuel synthesis unit. The waste treatment unit converts the waste to synthetic fuel, gaseous fuel, oxygen, heat, slag, and other components that are useful to the facility or other entities. The waste treatment system uses carbon dioxide generated during a waste conversion process thereby producing substantially zero emissions and eliminating waste that could be harmful to the environment.

Abstract: A medical zero emission waste system comprising a medical waste treatment unit that couples to a medical facility. The medical waste treatment unit is onsite to the medical facility for processing medical waste generated by the medical facility. The medical waste treatment unit comprises a gasification reactor, a syngas treatment unit, and a synthetic fuel generator for treating and converting medical waste. The synthetic fuel generator comprises an electrolysis unit and a liquid fuel synthesis unit. The medical waste treatment unit converts the medical waste to synthetic fuel, gaseous fuel, oxygen, heat, slag, and other components that are useful to the medical facility or other entities. The medical waste treatment system uses carbon dioxide generated during a medical waste conversion process thereby producing substantially zero emissions and eliminating medical waste that could be harmful to the environment.

Abstract: A method for preparation of amorphous silica from biomass. The method includes pyrolyzing the biomass under anaerobic conditions to yield a pyrolysis gas and solid residues, collecting the pyrolysis gas, and calcining the solid residues under aerobic conditions to yield amorphous silica.

Abstract: A method for preparation of amorphous silica from biomass. The method includes pyrolyzing the biomass under anaerobic conditions to yield a pyrolysis gas and solid residues, collecting the pyrolysis gas, and calcining the solid residues under aerobic conditions to yield amorphous silica.