1,439 research outputs found
pytrip/pytrip: 3.6.4
No full textWhat's Changed
add concave contours support by @rozchlastywacz in https://github.com/pytrip/pytrip/pull/618
deepsource fixes by @michal367 in https://github.com/pytrip/pytrip/pull/659
fix non ascii chars on cube read by @michal367 in https://github.com/pytrip/pytrip/pull/661
sdist build by @michal367 in https://github.com/pytrip/pytrip/pull/662
Full Changelog: https://github.com/pytrip/pytrip/compare/v3.6.3...v3.6.
Policy analysis for improving performance of PPP projects in Vietnam: A Case Study from BOT Phu My Bridge Project
No full textThe important of PPP model to the development of infrastructure as well as the Vietnamese economy, and exiting obstacles in BOT practices in Vietnam inspire me to do this thesis. Among many critical success factors influencing to performance of BOT practice in Vietnam, the author recognizes that Vietnamese government should try all its efforts to improve the financial market, ability to mange risks, legislation and regulation to leverage private involvement in BOT scheme. The other factors can be achieved by the learning curve process on the course of local and international PPP practice. Thus, the thesis focuses on PPP model specializing in the following main aspects: (1) financing of PPP projects, (2) management of risks in PPP projects, (3) the institutional and legal framework of PPP projects.Construction Management and EngineeringBouwCivil Engineering and Geoscience
Ki-Bot
No full textCopyright is held by the owner/author(s).This paper explores the development of a robotic toy that will be helping students in kinematic physics. Physics has always been a hard class and it is very difficult for students to understand the concepts behind each topic in physics. Ki-bot will help students not only solve kinematic word problems, but also understand the concept of kinematic word problems by testing their answers to word problems on the bot. Ki-bot will essentially bring kinematic word problems to life to help the student understand kinematic physics. The paper will explore the advantages and disadvantages of using interactive toys for learning and will also discuss the other products in the market that help students in kinematic physics. I will also discuss the design decisions, coding decisions, and some of the testing I did in the process of building and developing Ki-Bot. Ki-bot has been successful in showing the proof of concept that this will work in helping students test their answer to word problems and understand them. Additionally, I will discuss the future work that could be done to improve Ki-bot
Quantalabs/EpiJS: v1.3.0
No full textv1.3.0
Features
Add comp module.
Create comp module, which allows for creating custom compartments, which can then be combined into models
Add Idiom class, for custom compartments
Add model module.
Create model module which combines compartments from comp into models.
Add com module.
Create com module, which models communities.
Create the virus class, which creates a virus which can infect a community.
Create the community class which can be infected with a virus, and modeled.
Create the compare function, which compares two different outbreaks, whether it's two different communities infected with a virus, two viruses infecting the same community, or even two communities infected by two viruses.
Unrelated
Add documentation from vuepress, which provides much better documentation than that of mkdocs.
Add new dependency - math.js which is used in the comp module
Quantalabs/EpiJS: v2.0.0 - LTS
No full text[#37] Stochastic modelling
[#40] Custom models in com module
[#28] New pre-built compartments for you to use in comp, including:
Susceptible,
Exposed,
Infected,
Hospitalized,
Critical,
Recovered,
Dead,
and Vaccinated compartments,
A new utils compartment, which has epidemiological related utilities,
Bug fixes,
[#59] Customizable plotting, with the plots module,
[#59] Allows for more interaction with data from pre module,
And metadata on the web, through EpiJS.about, EpiJS.version, etc.
What makes this a major release?
This release is a major release for 2 reasons:
[#54] Drops 10.x support
[#37] Syntax for functions/classes was changed with stochastic models
[#59] pre module no longer outputs graphs, and is instead replaced with the plots module for graphs.
This release is also an LTS release, so bug fixes and security fixes will continue for longer than a usual release
Quantalabs/EpiJS: 1.3.0
No full textv1.3.0
Features
Add comp module.
Create comp module, which allows for creating custom compartments, which can then be combined into models
Add Idiom class, for custom compartments
Add model module.
Create model module which combines compartments from comp into models.
Add com module.
Create com module, which models communities.
Create the virus class, which creates a virus which can infect a community.
Create the community class which can be infected with a virus, and modeled.
Create the compare function, which compares two different outbreaks, whether it's two different communities infected with a virus, two viruses infecting the same community, or even two communities infected by two viruses.
Unrelated
Add documentation from vuepress, which provides much better documentation than that of mkdocs.
Add new dependency - math.js which is used in the comp module
bird-feeder/BirdFSD-YOLOv5: BirdFSD-YOLOv5-v1.0.0-alpha.6
No full textTraining start time: 2022-06-14T16:25:02
Training duration: 04:22:31
W&B run URL: https://wandb.ai/biodiv/train/runs/y31qiwv2
W&B run ID: y31qiwv2
W&B run name: proud-glade-102
W&B run path: biodiv/train/y31qiwv2
Number of classes: 15
Dataset name: dataset-YOLO-06-13-2022_19.55.50.tar
System hardware
CPU count
GPU count
GPU type
NVIDIA driver version
48
2
Tesla T4, Tesla T4
470.103.01
Base ML framework
Python
CUDA
Torch
Torchvision
3.8.12
10.2
1.10.0
0.11.0a0+fb5bd47
Classes
```JSON
{
"American Goldfinch (Spinus tristis)": 136,
"Brown-headed Cowbird (Molothrus ater)": 186,
"Carolina Chickadee (Poecile carolinensis)": 335,
"Chipping Sparrow (Spizella passerina)": 1061,
"Downy Woodpecker (Dryobates pubescens)": 170,
"Eastern Towhee (Pipilo erythrophthalmus)": 111,
"Hermit Thrush (Catharus guttatus)": 141,
"House Finch (Haemorhous mexicanus)": 643,
"Northern Cardinal (Cardinalis cardinalis)": 547,
"Red-bellied Woodpecker (Melanerpes carolinus)": 32,
"Song Sparrow (Melospiza melodia)": 126,
"Squirrels (Eutamias sibiricus)": 1817,
"Tufted Titmouse (Baeolophus bicolor)": 459,
"White-throated Sparrow (Zonotrichia albicollis)": 32,
"Yellow-rumped Warbler (Setophaga coronata)": 405
}
```
Validation predictions
Confusion matrix
Model performance:
best/precision
best/recall
val/box_loss
val/cls_loss
val/obj_loss
F1-score
0.9818
0.9735
0.0162
0.0034
0.0055
0.9776</table
zuckberj/nastran-aeroelasticity: v0.2.1-alpha
No full textFull Changelog: https://github.com/zuckberj/nastran-aeroelasticity/compare/v0.2.0-alpha...v0.2.1-alph
Quantalabs/EpiJS: v1.2.0
No full textNew Features
Add SEIHCRD model
Bug Fixes
Fix import error for npm package
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