Search Results for "review"

...Integrate data labeling into your existing ML pipelines and workflows using our simple yet powerful Python SDK. Onboard your own workforce or use one of our workforce partners. Our management tools make it easy to label and review large datasets together. Now, Segments.ai is providing a data labeling backbone to help robotics and AV companies build better datasets.

...It reproduces the core systems of a ship's engine room — main engine, shaft line, generators, switchboard, and auxiliary machinery — as an interactive model that trainees and instructors can operate, observe, and troubleshoot in real time, entirely on a local machine. It is built around STCW-style training: an instructor can run scenarios that introduce faults or abnormal conditions, watch how a trainee responds, and review the session afterward. ## What it does - Simulates a diesel main engine with realistic behavior for starting air, clutch engagement, shaft RPM, load, cooling (HT/LT circuits), and lubrication. - Models auxiliary machinery — fuel, cooling, and lube oil pumps, air compressors, purifiers, boiler, and generators — each with its own running state and possible failure modes...

...The ADPAA package was started to process data on the North Dakota Citation Research Aircraft but has been used to process data on many airborne platforms. The software methodology used in ADPAA is provided in the peer-review publication: Delene, D. J., Airborne Data Processing and Analysis Software Package, Earth Science Informatics, 4(1), 29-44, 2011, URL: http://dx.doi.org/10.1007/s12145-010-0061-4, DOI: 10.1007/s12145-010-0061-4.

...Installation: open the Code tab and download or clone the complete repository. On Linux, open a terminal in `qmcf2_installer` and run: `python3 qmcf2_installer.py3` Review the detected compilers, libraries, paths, and warnings, then start the build. The manual is located at `qmcf2_html/qmcf2_doc/manual/qmcf2_manual.pdf`. QMCF2 is research software under active development. Validate calculations on small reference systems before production use. Licensed under GPL3.

ChemCrow is an AI-powered framework designed to assist in chemical research and discovery. It integrates AI models with chemical knowledge bases to provide intelligent recommendations for synthesis planning, reaction prediction, and material discovery. This tool helps automate and accelerate research in computational chemistry and drug development.

...A., Marroquin-Gomez, M. P., Bonilla-Correa, S., Izquierdo-Camacho, D., ... & Montes, C. (2021). The Colombian geochronological database (CGD). International Geology Review, 1-35. And the Zenodo repository where the source code is available: 2) Rodriguez Corcho (2021). andresrcorcho/CGD_HistogramsApp: HistogramsApp_1.5 (1.5). Zenodo. https://doi.org/10.5281/zenodo.5171646 (https://zenodo.org/record/5171646#.YZ4X9r3P27M)

EduLB is a small and easy to handle lattice Boltzmann code for channel flow. Main objective is to give interested people the opportunity to play around and see how things work. For feedback, leave a review, leave a comment on the discussion page or send me a private mail.

A conference submission and review system designed for flexibility and re-use. Initially used for the ALIFE 8 conference (in 2002), and designed around the principles of the systems used for ALIFE VI and ALIFE VII.