Zobrazeno 1 - 10
of 32 001
pro vyhledávání: '"BAHADIR A"'
Autor:
Liu, Shuangzhe1 (AUTHOR) Shuangzhe.Liu@canberra.edu.au, Ma, Tiefeng2 (AUTHOR)
Publikováno v:
Journal of Applied Statistics. Sep2024, Vol. 51 Issue 12, p2489-2491. 3p.
Autor:
Sainam, Preethika1 (AUTHOR) preethika@asu.edu, Bahadir, S. Cem2 (AUTHOR) sbahadir@fiu.edu
Publikováno v:
Journal of International Marketing. Sep2024, Vol. 32 Issue 3, p5-22. 18p.
Autor:
TUYSUZ, Ş. Cem1 scemtuysuz@trakya.edu.tr
Publikováno v:
Trakya University Journal of Social Science. 2020, Vol. 22 Issue 1, p551-578. 28p.
Autor:
Kesgin, Bahadır Utku, Teğin, Uğur
Optical computing has gained significant attention as a potential solution to the growing computational demands of machine learning, particularly for tasks requiring large-scale data processing and high energy efficiency. Optical systems offer promis
Externí odkaz:
http://arxiv.org/abs/2411.00189
Publikováno v:
IEEE ICRA 2024, RUNE Workshop, Yokohama, Japan
Forests offer essential resources and services to humanity, yet preserving and restoring them presents challenges, particularly due to the limited availability of actionable data, especially in hard-to-reach areas like forest canopies. Accessibility
Externí odkaz:
http://arxiv.org/abs/2410.23033
Reproducibility is essential for scientific research. However, in computer vision, achieving consistent results is challenging due to various factors. One influential, yet often unrecognized, factor is CUDA-induced randomness. Despite CUDA's advantag
Externí odkaz:
http://arxiv.org/abs/2410.02806
Autor:
ÖZTURHAN, Meliha, ÇAĞIN, Sabahattin
Publikováno v:
Türk Dünyası Araştırmaları; Jul/Aug2022, Issue 259, p327-338, 12p
Autor:
Maruf, M., Daw, Arka, Mehrab, Kazi Sajeed, Manogaran, Harish Babu, Neog, Abhilash, Sawhney, Medha, Khurana, Mridul, Balhoff, James P., Bakis, Yasin, Altintas, Bahadir, Thompson, Matthew J., Campolongo, Elizabeth G., Uyeda, Josef C., Lapp, Hilmar, Bart, Henry L., Mabee, Paula M., Su, Yu, Chao, Wei-Lun, Stewart, Charles, Berger-Wolf, Tanya, Dahdul, Wasila, Karpatne, Anuj
Images are increasingly becoming the currency for documenting biodiversity on the planet, providing novel opportunities for accelerating scientific discoveries in the field of organismal biology, especially with the advent of large vision-language mo
Externí odkaz:
http://arxiv.org/abs/2408.16176
Segmenting multiple objects (e.g., organs) in medical images often requires an understanding of their topology, which simultaneously quantifies the shape of the objects and their positions relative to each other. This understanding is important for s
Externí odkaz:
http://arxiv.org/abs/2408.08038
Autor:
Mehrab, Kazi Sajeed, Maruf, M., Daw, Arka, Manogaran, Harish Babu, Neog, Abhilash, Khurana, Mridul, Altintas, Bahadir, Bakis, Yasin, Campolongo, Elizabeth G, Thompson, Matthew J, Wang, Xiaojun, Lapp, Hilmar, Chao, Wei-Lun, Mabee, Paula M., Bart Jr., Henry L., Dahdul, Wasila, Karpatne, Anuj
Fishes are integral to both ecological systems and economic sectors, and studying fish traits is crucial for understanding biodiversity patterns and macro-evolution trends. To enable the analysis of visual traits from fish images, we introduce the Fi
Externí odkaz:
http://arxiv.org/abs/2407.08027