Zobrazeno 1 - 10
of 40 247
pro vyhledávání: '"A. Bulent"'
Publikováno v:
AgriEngineering, Vol 4, Iss 1, Pp 320-334 (2022)
Optimum nitrogen (N) application is essential to the economic and environmental sustainability of cotton production. Variable-rate N fertigation could potentially help farmers optimize N applications, but current overhead irrigation systems normally
Externí odkaz:
https://doaj.org/article/b29d5f646ca6446787f41566ef4bb133
Autor:
Lacroix, Denis, Bauge, Angel, Yilmaz, Bulent, Mangin-Brinet, Mariane, Roggero, Alessandro, Balantekin, A. Baha
The Phase-Space approach (PSA), which was originally introduced in [Lacroix et al., Phys. Rev. D 106, 123006 (2022)] to describe neutrino flavor oscillations for interacting neutrinos emitted from stellar objects is extended to describe arbitrary num
Externí odkaz:
http://arxiv.org/abs/2409.20215
Autor:
Sariyildiz, Mert Bulent, Weinzaepfel, Philippe, Lucas, Thomas, Larlus, Diane, Kalantidis, Yannis
Pretrained models have become a commodity and offer strong results on a broad range of tasks. In this work, we focus on classification and seek to learn a unique encoder able to take from several complementary pretrained models. We aim at even strong
Externí odkaz:
http://arxiv.org/abs/2408.05088
Autor:
Sarac, Bulent, Acar, Damla
In this paper, we give a constructive proof to show that if there exist a classical linear code C is a subset of F_q^n of dimension k and a classical linear code D is a subset of F_q^k^m of dimension s, where q is a power of a prime number p, then th
Externí odkaz:
http://arxiv.org/abs/2407.13527
Autor:
Demir, Andac, Solovyeva, Elizaveta, Boylan, James, Xiao, Mei, Serluca, Fabrizio, Hoersch, Sebastian, Jenkins, Jeremy, Devarakonda, Murthy, Kiziltan, Bulent
Influenced by breakthroughs in LLMs, single-cell foundation models are emerging. While these models show successful performance in cell type clustering, phenotype classification, and gene perturbation response prediction, it remains to be seen if a s
Externí odkaz:
http://arxiv.org/abs/2405.03726
Graph-based learning approaches, due to their ability to encode tissue/organ structure information, are increasingly favored for grading colorectal cancer histology images. Recent graph-based techniques involve dividing whole slide images (WSIs) into
Externí odkaz:
http://arxiv.org/abs/2403.04962
In this study, we present a novel computational method for generating molecular fingerprints using multiparameter persistent homology (MPPH). This technique holds considerable significance for drug discovery and materials science, where precise molec
Externí odkaz:
http://arxiv.org/abs/2312.07633
Autor:
Demir, Andac, Kiziltan, Bulent
In this study, we present a novel molecular fingerprint generation method based on multiparameter persistent homology. This approach reveals the latent structures and relationships within molecular geometry, and detects topological features that exhi
Externí odkaz:
http://arxiv.org/abs/2311.10808
Autor:
A. Bulent
Publikováno v:
Вісник Київського національного університету імені Тараса Шевченка. Серія Економіка, Vol 12, Iss 189, Pp 13-18 (2016)
When rich cultural structure, geo-politic, geo-strategic structures of the region are considered will have an important role in the cultural economy of the region. For this reason, it is important to assemble the cultural economy effectively and to u
Externí odkaz:
https://doaj.org/article/7f58fc0b7ed648dfad9cd66f6513b775
Neural ranking methods based on large transformer models have recently gained significant attention in the information retrieval community, and have been adopted by major commercial solutions. Nevertheless, they are computationally expensive to creat
Externí odkaz:
http://arxiv.org/abs/2308.15027