Zobrazeno 1 - 10
of 2 339
pro vyhledávání: '"A. Golchin"'
Publikováno v:
مجله آب و خاک, Vol 38, Iss 2, Pp 253-267 (2024)
IntroductionHeavy metals such as lead, aluminum, mercury, copper, cadmium, nickel, and arsenic are now commonly found worldwide. Among these, cadmium and lead are the most hazardous, posing significant risks to both the environment and human health.
Externí odkaz:
https://doaj.org/article/acc09ac5badb4d98b1b82239c3884d33
In-context learning (ICL) has proven to be an effective strategy for improving the performance of large language models (LLMs) with no additional training. However, the exact mechanism behind this performance improvement remains unclear. This study i
Externí odkaz:
http://arxiv.org/abs/2408.11546
Autor:
Sainz, Oscar, García-Ferrero, Iker, Jacovi, Alon, Campos, Jon Ander, Elazar, Yanai, Agirre, Eneko, Goldberg, Yoav, Chen, Wei-Lin, Chim, Jenny, Choshen, Leshem, D'Amico-Wong, Luca, Dell, Melissa, Fan, Run-Ze, Golchin, Shahriar, Li, Yucheng, Liu, Pengfei, Pahwa, Bhavish, Prabhu, Ameya, Sharma, Suryansh, Silcock, Emily, Solonko, Kateryna, Stap, David, Surdeanu, Mihai, Tseng, Yu-Min, Udandarao, Vishaal, Wang, Zengzhi, Xu, Ruijie, Yang, Jinglin
The 1st Workshop on Data Contamination (CONDA 2024) focuses on all relevant aspects of data contamination in natural language processing, where data contamination is understood as situations where evaluation data is included in pre-training corpora u
Externí odkaz:
http://arxiv.org/abs/2407.21530
Massive open online courses (MOOCs) offer free education globally to anyone with a computer and internet access. Despite this democratization of learning, the massive enrollment in these courses makes it impractical for one instructor to assess every
Externí odkaz:
http://arxiv.org/abs/2406.11102
Autor:
Khalil, Ahmad, Dege, Tizian, Golchin, Pegah, Olshevskyi, Rostyslav, Anta, Antonio Fernandez, Meuser, Tobias
In the pursuit of refining precise perception models for fully autonomous driving, continual online model training becomes essential. Federated Learning (FL) within vehicular networks offers an efficient mechanism for model training while preserving
Externí odkaz:
http://arxiv.org/abs/2405.01108
Publikováno v:
Environmental Resources Research, Vol 6, Iss 2, Pp 118-138 (2018)
Afforestation, as a tool to mitigate carbon emission is constrained by available land areain several countries, but Iran has the potential of plantation. In doing so, differences in soilstocks between tree species could give an indication of the effe
Externí odkaz:
https://doaj.org/article/861729e071e145e6997dae5e93654bd3
Publikováno v:
علوم آب و خاک, Vol 21, Iss 4, Pp 215-228 (2018)
To assess the effects of different levels of soil lead on mineralization of organic carbon and nitrogen, a factorial pot experiment was conducted using litter bag method. The factors examined were different levels of soil lead (0, 25, 50, 100, and 20
Externí odkaz:
https://doaj.org/article/184781d92a9f481f85938bd4f00c1986
Massive open online courses (MOOCs) unlock the doors to free education for anyone around the globe with access to a computer and the internet. Despite this democratization of learning, the massive enrollment in these courses means it is almost imposs
Externí odkaz:
http://arxiv.org/abs/2402.03776
In the present paper, we investigate traversable wormhole solutions determined by an exponential shape function and fractional redshift function in the background of four viable $f(R)$ models. Although in the absence of the redshift function $\varphi
Externí odkaz:
http://arxiv.org/abs/2312.02714
Publikováno v:
علوم آب و خاک, Vol 21, Iss 1, Pp 83-92 (2017)
Soil organic matter is the largest source of organic carbon in the soil surface which played an enormous role in restoring balance, environmental sustainability, soil elements and climatic conditions. Organic materials influence physical, chemical an
Externí odkaz:
https://doaj.org/article/659ecd85b8e94a8dada766362479bd87