Zobrazeno 1 - 10
of 1 548
pro vyhledávání: '"Neset A"'
Autor:
Andrea Tognazzi, Paolo Franceschini, Thi Ngoc Lam Tran, Alessandro Chiasera, Maria Antonietta Vincenti, Alfonso Carmelo Cino, Neset Akozbek, Michael Scalora, Costantino De Angelis
Publikováno v:
Optical Materials: X, Vol 19, Iss , Pp 100242- (2023)
The Z-Scan technique is an easy and widespread approach to evaluate the nonlinear optical coefficient of materials. However, the evaluation of the same coefficients for thin films requires complex experimental setups that allow to remove the contribu
Externí odkaz:
https://doaj.org/article/d8899adaae994b9bab6a2c184ff0df54
Free-space optical communication (FSOC) systems offer high-bandwidth and secure communication with minimal capital costs. Adaptive optics (AO) are typically added to these systems to decrease atmospheric channel losses; however, the performance of tr
Externí odkaz:
http://arxiv.org/abs/2410.18789
Publikováno v:
npj Quantum Inf 10, 89 (2024)
Conditional addition of photons represents a crucial tool for optical quantum state engineering and it forms a fundamental building block of advanced quantum photonic devices. Here we report on experimental implementation of the conditional addition
Externí odkaz:
http://arxiv.org/abs/2405.10403
Publikováno v:
Journal of Medicinal Plants and By-products, Vol 6, Iss 2, Pp 221-228 (2017)
Opiumpoppy (Papaver somniferum L.) is one of the important and oldest cultivated medicinal plant used to extract morphine, papaverine, thebaine, codeine and other alkaloids. This study aimed to determine general and specific combining abilities of F1
Externí odkaz:
https://doaj.org/article/2c2615830fbf48f3af1f644d6c4e20ee
Autor:
Bao, Qiming, Gendron, Gael, Peng, Alex Yuxuan, Zhong, Wanjun, Tan, Neset, Chen, Yang, Witbrock, Michael, Liu, Jiamou
Large language models (LLMs), such as LLaMA, Alpaca, Vicuna, GPT-3.5 and GPT-4, have advanced the performance of AI systems on various natural language processing tasks to human-like levels. However, their generalisation and robustness when performin
Externí odkaz:
http://arxiv.org/abs/2310.09430
We equip a smaller Language Model to generalise to answering challenging compositional questions that have not been seen in training. To do so we propose a combination of multitask supervised pretraining on up to 93 tasks designed to instill diverse
Externí odkaz:
http://arxiv.org/abs/2308.00946
Autor:
Bao, Qiming, Peng, Alex Yuxuan, Deng, Zhenyun, Zhong, Wanjun, Gendron, Gael, Pistotti, Timothy, Tan, Neset, Young, Nathan, Chen, Yang, Zhu, Yonghua, Denny, Paul, Witbrock, Michael, Liu, Jiamou
Combining large language models with logical reasoning enhances their capacity to address problems in a robust and reliable manner. Nevertheless, the intricate nature of logical reasoning poses challenges when gathering reliable data from the web to
Externí odkaz:
http://arxiv.org/abs/2305.12599
Autor:
Tan, Neşet Özkan, Peng, Alex Yuxuan, Bensemann, Joshua, Bao, Qiming, Hartill, Tim, Gahegan, Mark, Witbrock, Michael
Identifying words that impact a task's performance more than others is a challenge in natural language processing. Transformers models have recently addressed this issue by incorporating an attention mechanism that assigns greater attention (i.e., re
Externí odkaz:
http://arxiv.org/abs/2303.07585
Publikováno v:
Journal of Agricultural Sciences, Vol 15, Iss 01, Pp 38-46 (2009)
Safran Crocus sativus L. bilinen en eski kültür bitkilerinden biridir. Geçmişte baharat, boya ve tıbbi olarak büyük bir ekonomik öneme sahip olan bu bitki, önceleri Bolu, Tokat, Şanlıurfa, Adana, İzmir gibi illerde yetiştirilmesine rağm
Externí odkaz:
https://doaj.org/article/526de6750523402a9530acf1b000e287
Obstacle detection is a safety-critical problem in robot navigation, where stereo matching is a popular vision-based approach. While deep neural networks have shown impressive results in computer vision, most of the previous obstacle detection works
Externí odkaz:
http://arxiv.org/abs/2209.08459