Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Shadi Abpeikar"'
Autor:
Shuo Yang, Dilini Samarasinghe, Anupama Arukgoda, Shadi Abpeikar, Erandi Lakshika, Michael Barlow
Publikováno v:
IEEE Access, Vol 11, Pp 89077-89092 (2023)
Collective emergent behaviours are commonly seen in nature such as in flocks of birds and schools of fish. These behaviours are the results of years of evolution and have been studied in artificial agent systems in a wide range of application areas s
Externí odkaz:
https://doaj.org/article/59bc81b041084e86bada88c25fce9221
Autor:
Shadi Abpeikar, Kathryn Kasmarik
Publikováno v:
Data in Brief, Vol 47, Iss , Pp 108976- (2023)
Collective motion behaviour such as the movement of swarming bees, flocking birds or schooling fish has inspired computer-based swarming systems. They are widely used in agent formation control, including aerial and ground vehicles, teams of rescue r
Externí odkaz:
https://doaj.org/article/5c5189fe00fd4a81ad39d3079bd986fa
Publikováno v:
Frontiers in Neurorobotics, Vol 17 (2023)
This paper proposes an iterative transfer learning approach to achieve swarming collective motion in groups of mobile robots. By applying transfer learning, a deep learner capable of recognizing swarming collective motion can use its knowledge to tun
Externí odkaz:
https://doaj.org/article/5462fcc8907642299c37d7bf41072616
Publikováno v:
2022 26th International Conference Information Visualisation (IV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd2dbfaf5ca2a0c6b290aa30924a1e16
https://doi.org/10.1109/iv56949.2022.00032
https://doi.org/10.1109/iv56949.2022.00032
Publikováno v:
Neural Networks. 124:20-38
Classification of high dimensional data suffers from curse of dimensionality and over-fitting. Neural tree is a powerful method which combines a local feature selection and recursive partitioning to solve these problems, but it leads to high depth tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34a5fb85faccc9f1326fa248b59b84a1
https://doi.org/10.1016/j.neunet.2019.12.029
https://doi.org/10.1016/j.neunet.2019.12.029
Autor:
Rouzbeh Abbassi, Shadi Abpeikar, Hossein Adel, Sreenatha Anavatti, Ivan Bakhshayeshi, Nima Bayat-Makou, Amin Beheshti, Rhiannon Blake, Bahareh Dabirmanesh, Eila Erfani, Milad Rabbabni Esfahani, Karu P. Esselle, Zahra Falahati, Helia Farhood, Vikram Garaniya, Matthew Garratt, Omid Ghaffarpasand, Ebrahim Ghasemy, A. Yagmur Goren, Supriya Gupta, Asghar Habibnejad Korayem, Bavly Hanna, Ahmad Hosseinzadeh, Majid Ilchi Ghazaan, Ahmad Miri Jahromi, Alexandros Karatopouzis, Elika Karbassiyazdi, Kathryn Kasmarik, Khosro Khajeh, Md Mohiuddin Khan, Alireza Khataee, Mohammad Khedri, Ahmed A. Kishk, Ali Lalbakhsh, Reza Maleki, Yamini Mittal, Sweta Modak, Masoud Mohseni-Dargah, Hadi Mokarizadeh, Parisa Nasrollahi, Arman Nedjati, Matineh Pooshideh, Yaşar K. Recepoğlu, Nabi Rezvani, Roy B.V.B. Simorangkir, Pratiksha Srivastava, Firouzeh Taghikhah, Sara Tayari, Phi Vu Tran, Mohammad Yazdi, Esmaeil Zarei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3182f900c9fa2a9b37ac4c5f9bb6c7b8
https://doi.org/10.1016/b978-0-323-90508-4.01002-9
https://doi.org/10.1016/b978-0-323-90508-4.01002-9
Publikováno v:
AI 2022: Advances in Artificial Intelligence ISBN: 9783031226946
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2c733d23c45aeda3cae7bc8327580ff
https://doi.org/10.1007/978-3-031-22695-3_53
https://doi.org/10.1007/978-3-031-22695-3_53
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030975456
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41961ab1f1c3bba7c0283b8d092a8365
https://doi.org/10.1007/978-3-030-97546-3_43
https://doi.org/10.1007/978-3-030-97546-3_43
Publikováno v:
Swarm and Evolutionary Computation. 75:101171
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45eecca0d5fd0348c2a8530631c4dddc
https://doi.org/10.1016/j.swevo.2022.101171
https://doi.org/10.1016/j.swevo.2022.101171