Zobrazeno 1 - 10
of 1 512
pro vyhledávání: '"DeHaan P"'
Autor:
DeHaan, Ian, Friggstad, Zachary
We give a $(1.796+\epsilon)$-approximation for the minimum sum coloring problem on chordal graphs, improving over the previous 3.591-approximation by Gandhi et al. [2005]. To do so, we also design the first polynomial-time approximation scheme for th
Externí odkaz:
http://arxiv.org/abs/2406.18835
Autor:
DeHaan, Ian, Pashkovich, Kanstantsin
We study a class of Bayesian online selection problems with matroid constraints. Consider a vendor who has several items to sell, with the set of sold items being subject to some structural constraints, e.g., the set of sold items should be independe
Externí odkaz:
http://arxiv.org/abs/2406.00224
Autor:
Emre Kurtoğlu, Kenneth DeHaan, Caroline Kobek Pezzarossi, Darrin J. Griffin, Chris Crawford, Sevgi Z. Gurbuz
Publikováno v:
IET Radar, Sonar & Navigation, Vol 18, Iss 8, Pp 1203-1216 (2024)
Abstract Over the past decade, there have been great advancements in radio frequency sensor technology for human–computer interaction applications, such as gesture recognition, and human activity recognition more broadly. While there is a significa
Externí odkaz:
https://doaj.org/article/70b04ac749654e98a7cf295072e3ece3
Publikováno v:
Advanced Science, Vol 11, Iss 41, Pp n/a-n/a (2024)
Abstract Organisms are able to control material patterning down to the nanometer scale. This is exemplified by the intricate geometrical patterns of the silica cell wall of diatoms, a group of unicellular algae. Theoretical and modeling studies propo
Externí odkaz:
https://doaj.org/article/ce88e962013548d5925eaa838e874e82
Autor:
Cody R. DeHaan, Emma L. Bradshaw, Sandra Diaz-Castillo, Todd C. Trautman, C. Scott Rigby, Richard M. Ryan
Publikováno v:
Frontiers in Psychology, Vol 15 (2024)
In this study, we expanded upon the job demands–resources model to assess the role of employees’ vitality as an inner resource for their work engagement and job commitment. To assess vitality and related job resources, we developed an index of vi
Externí odkaz:
https://doaj.org/article/20238135e6f44b73970e46628b1ad051
Publikováno v:
Ruminants, Vol 4, Iss 1, Pp 112-124 (2024)
Two randomized complete block design experiments evaluated the influence that varying degrees of ingredient inclusion accuracy in a finishing diet have on growth performance and carcass traits. Treatments included (1) normal inclusion tolerance with
Externí odkaz:
https://doaj.org/article/7ca0a7cae1e04d83b35a43b00fc774fd
Autor:
Salvati, L., Saro, A., Bocquet, S., Costanzi, M., Ansarinejad, B., Benson, B. A., Bleem, L. E., Calzadilla, M. S., Carlstrom, J. E., Chang, C. L., Chown, R., Crites, A. T., deHaan, T., Dobbs, M. A., Everett, W. B., Floyd, B., Grandis, S., George, E. M., Halverson, N. W., Holder, G. P., Holzapfel, W. L., Hrubes, J. D., Lee, A. T., Luong-Van, D., McDonald, M., McMahon, J. J., Meyer, S. S., Millea, M., Mocanu, L. M., Mohr, J. J., Natoli, T., Omori, Y., Padin, S., Pryke, C., Reichardt, C. L., Ruhl, J. E., Ruppin, F., Schaffer, K. K., Schrabback, T., Shirokoff, E., Staniszewski, Z., Stark, A. A., Vieira, J. D., Williamson, R.
Publikováno v:
Astrophys. J. 934, no.2, 129 (2022)
We provide the first combined cosmological analysis of South Pole Telescope (SPT) and Planck cluster catalogs. The aim is to provide an independent calibration for Planck scaling relations, exploiting the cosmological constraining power of the SPT-SZ
Externí odkaz:
http://arxiv.org/abs/2112.03606
Autor:
Duarte, Amanda, Palaskar, Shruti, Ventura, Lucas, Ghadiyaram, Deepti, DeHaan, Kenneth, Metze, Florian, Torres, Jordi, Giro-i-Nieto, Xavier
One of the factors that have hindered progress in the areas of sign language recognition, translation, and production is the absence of large annotated datasets. Towards this end, we introduce How2Sign, a multimodal and multiview continuous American
Externí odkaz:
http://arxiv.org/abs/2008.08143
Autor:
Gorocs, Zoltan, Baum, David, Song, Fang, DeHaan, Kevin, Koydemir, Hatice Ceylan, Qiu, Yunzhe, Cai, Zilin, Skandakumar, Thamira, Peterman, Spencer, Tamamitsu, Miu, Ozcan, Aydogan
Publikováno v:
Lab on a Chip (2020)
We report a field-portable and cost-effective imaging flow cytometer that uses deep learning to accurately detect Giardia lamblia cysts in water samples at a volumetric throughput of 100 mL/h. This flow cytometer uses lensfree color holographic imagi
Externí odkaz:
http://arxiv.org/abs/2007.10795
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