CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

A Machine Learning Approach to Detect Wounded Dog

by Amit Lal Das, K.M.Ashikur Rahman
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 43
Year of Publication: 2021
Authors: Amit Lal Das, K.M.Ashikur Rahman
10.5120/ijca2021921828

Amit Lal Das, K.M.Ashikur Rahman . A Machine Learning Approach to Detect Wounded Dog. International Journal of Computer Applications. 183, 43 ( Dec 2021), 1-5. DOI=10.5120/ijca2021921828

@article{ 10.5120/ijca2021921828,
author = { Amit Lal Das, K.M.Ashikur Rahman },
title = { A Machine Learning Approach to Detect Wounded Dog },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2021 },
volume = { 183 },
number = { 43 },
month = { Dec },
year = { 2021 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number43/32216-2021921828/ },
doi = { 10.5120/ijca2021921828 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:19:31.152793+05:30
%A Amit Lal Das
%A K.M.Ashikur Rahman
%T A Machine Learning Approach to Detect Wounded Dog
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 43
%P 1-5
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Now, everything is automated. There are various kinds of animals around us. Some animals live with us, some have residence, some have an owner, some are in a specific area. Dogs are such kind of animal that they live with us. But many of the dogs have no owner or residence. And they cannot have a healthy life. They also get wounds in many ways but have no remedy. They live with us or around us. If they are wounded, the disease can spread by them. So we need to detect them immediately and concern the authority. So we make such kind of system which can identify a wounded dog. We use a dataset of 409 data for this purpose in yolov3.

References
  1. https://machinelearningspace.com/yolov3-tensorflow-2-part-1/
  2. https://www.kdnuggets.com/2018/05/implement-yolo-v3-object-detector- pytorchpart-1.html
  3. https://en.wikipedia.org/wiki/Confusion_matrix
  4. https://drive.google.com/file/d/1J7_zpNXe_4rBSGwJ1knJlDbxtcO7BrLC/view?usp=sharing
  5. (PDF) A Comparison of Different Wound Planimetry Methods in Dogs. (n.d.). Retrieved May 21, 2021, from https://www.researchgate.net/publication/327307521_A_Comparison_of_Different_Wound_Planimetry_Methods_in_Dogs
  6. (PDF) Application of a temporary intestinal storage device in a small intestine gunshot wound dog model. (n.d.). Retrieved May 21, 2021, from https://www.researchgate.net/publication/348642656_Application_of_a_temporary_intestinal_storage_device_in_a_small_intestine_gunshot_wound_dog_model
  7. (PDF) MANAGEMENT OF A DOG BITE WOUND: A CASE REPORT. (n.d.). Retrieved May 21, 2021, from https://www.researchgate.net/publication/348096055_MANAGEMENT_OF_A_DOG_BITE_WOUND_A_CASE_REPORT
  8. (PDF) Management of Diffuse Necrotic Cutaneous Wound in a Dog. (n.d.). Retrieved May 21, 2021, from https://www.researchgate.net/publication/346652240_Management_of_Diffuse_Necrotic_Cutaneous_Wound_in_a_Dog
  9. Antônio, W. H. S., Da Silva, M., Miani, R. S., & Souza, J. R. (2019). A Proposal of an Animal Detection System Using Machine Learning. Applied Artificial Intelligence, 33(13), 1093–1106. https://doi.org/10.1080/08839514.2019.1673993
  10. Hanson, R. R., & Munsterman, A. S. (2016). Treatment of Burn Injuries, Gunshot Wounds, and Dog-Bite Wounds. In Equine Wound Management: Third Edition (pp. 476–489). Wiley Blackwell. https://doi.org/10.1002/9781118999219.ch20
  11. Iacopetti, I., Patruno, M., Melotti, L., Martinello, T., Bedin, S., Badon, T., Righetto, E. M., & Perazzi, A. (2020). Autologous Platelet-Rich Plasma Enhances the Healing of Large Cutaneous Wounds in Dogs. Frontiers in Veterinary Science, 7. https://doi.org/10.3389/fvets.2020.575449
  12. Kim, J., Kim, D., Kim, J., Seo, D., Hwang, H., Kim, Y., Chung, T., Lim, S., Lee, H., & Kim, M. S. (2020). Case Report: Surgical Treatment of Severe Facial Wounds and Proptosis in a Dog Due to a Traffic Accident. Frontiers in Veterinary Science, 7. https://doi.org/10.3389/fvets.2020.548279
  13. Maraki, S., Kastanis, G., Stafylaki, D., Masunt, S., Kapsetakis, P., & Scoulica, E. (2018). Pasteurella multocida wound infection transmitted by a pet dog. GERMS, 8(4), 214–217. https://doi.org/10.18683/germs.2018.1149
  14. Reddell, P., De Ridder, T. R., Morton, J. M., Jones, P. D., Campbell, J. E., Brown, G., Johannes, C. M., Schmidt, P. F., & Gordon, V. (2021). Wound formation, wound size, and progression of wound healing after intratumoral treatment of mast cell tumors in dogs with tigilanol tiglate. Journal of Veterinary Internal Medicine, 35(1), 430–441. https://doi.org/10.1111/jvim.16009
  15. RÎMBU, C., HORHOGEA, C., COZMA, A., CRETU, C., GRECU, M., RUSU, R., & GUGUIANU, E. (2020). Analysis of Bacteriological Infected Dog and Cat Bite Wounds in Veterinary Medical Staff. Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Veterinary Medicine, 77(1), 43. https://doi.org/10.15835/buasvmcn-vm:2019.0038
  16. Swaim, S. F., Gillette, R. L., Sartin, E. A., Hinkle, S. H., & Coolman, S. L. (2000). Effects of a hydrolyzed collagen dressing on the healing of open wounds dogs. American Journal of Veterinary Research, 61(12), 1574–1578. https://doi.org/10.2460/ajvr.2000.61.1574
  17. Yu. Smolentsev, S., A. Gracheva, O., S. Gasanov, A., R. Amirov, D., M. Mukhutdinova, D., R. Shageeva, A., M. Zukhrabova, Z., V. Pozyabin, S., A.Kozlov, N., I. Shumakov, N., A. Bykovskaya, T., P. Tsiulina, E., & R. Idrisova, R. (2019). Hematological and Immunological Blood Parameters in the Treatment of Infected Wounds in Dogs. Journal of Engineering and Applied Sciences, 14(24), 9806–9809. https://doi.org/10.36478/jeasci.2019.9806.9809
  18. https://drive.google.com/file/d/1vDjYUbXjUy6W_zefx_itS1wLeeY7yiHZ/view?usp=sharing
Index Terms

Computer Science
Information Sciences

Keywords

Yolov3 Object detection Machine Learning Wounds Dog Google colab.

Powered by PhDFocusTM