Zobrazeno 1 - 10
of 14 756
pro vyhledávání: '"Topcu"'
Autor:
Bayraktar Nilufer, Topcu Deniz Ilhan
Publikováno v:
Türk Biyokimya Dergisi, Vol 49, Iss 2, Pp 167-177 (2023)
This study aims to evaluate the performance characteristics of the Alinity HQ hematology analyzer in a routine laboratory setting.
Externí odkaz:
https://doaj.org/article/f0c7a0caf0014b77aaf91c18d604a395
Autor:
Popova Venelina, Ivanova Tanya, Stoyanova Magdalena, Mazova Nadezhda, Dimitrova-Dyulgerova Ivanka, Stoyanova Albena, Ercisli Sezai, Assouguem Amine, Kara Mohammed, Topcu Hayat, Farah Abdellah, Elossaily Gehan M., Shahat Abdelaaty A., Shazly Gamal A.
Publikováno v:
Open Chemistry, Vol 20, Iss 1, Pp 1292-1303 (2022)
Physalis alkekengi L. (Solanaceae) is encountered in different regions of Bulgaria as a wild growing or ornamental plant. The objective of this work was to characterize the phytochemical composition (macro and micro components) of the leaves and stem
Externí odkaz:
https://doaj.org/article/e3bfcf7c852047708d3fc4b1353bfa11
Multimodal encoders like CLIP excel in tasks such as zero-shot image classification and cross-modal retrieval. However, they require excessive training data. We propose canonical similarity analysis (CSA), which uses two unimodal encoders to replicat
Externí odkaz:
http://arxiv.org/abs/2410.07610
Modern-world robotics involves complex environments where multiple autonomous agents must interact with each other and other humans. This necessitates advanced interactive multi-agent motion planning techniques. Generalized Nash equilibrium(GNE), a s
Externí odkaz:
http://arxiv.org/abs/2410.05554
Autor:
Yang, Yunhao, Hu, Yuxin, Ye, Mao, Zhang, Zaiwei, Lu, Zhichao, Xu, Yi, Topcu, Ufuk, Snyder, Ben
Multimodal foundation models offer promising advancements for enhancing driving perception systems, but their high computational and financial costs pose challenges. We develop a method that leverages foundation models to refine predictions from exis
Externí odkaz:
http://arxiv.org/abs/2410.01144
We present Basis-to-Basis (B2B) operator learning, a novel approach for learning operators on Hilbert spaces of functions based on the foundational ideas of function encoders. We decompose the task of learning operators into two parts: learning sets
Externí odkaz:
http://arxiv.org/abs/2410.00171
Recent advancements in Large Language Models (LLMs) have showcased their ability to perform complex reasoning tasks, but their effectiveness in planning remains underexplored. In this study, we evaluate the planning capabilities of OpenAI's o1 models
Externí odkaz:
http://arxiv.org/abs/2409.19924
Achieving seamless coordination in cooperative games is a crucial challenge in artificial intelligence, particularly when players operate under incomplete information. A common strategy to mitigate this information asymmetry involves leveraging expli
Externí odkaz:
http://arxiv.org/abs/2409.12397
In reinforcement learning, conducting task composition by forming cohesive, executable sequences from multiple tasks remains challenging. However, the ability to (de)compose tasks is a linchpin in developing robotic systems capable of learning comple
Externí odkaz:
http://arxiv.org/abs/2408.13376
Negotiation is useful for resolving conflicts in multi-agent systems. We explore autonomous negotiation in a setting where two self-interested rational agents sequentially trade items from a finite set of categories. Each agent has a utility function
Externí odkaz:
http://arxiv.org/abs/2408.11186