نتایج جستجو برای: driven and knowledge

تعداد نتایج: 16895941  

Journal: :journal of sciences, islamic republic of iran 2010
a.a. saboury elaheh poorakbar-esfahani g. rezaei-behbahani

a thermodynamic study of copper ions by jack bean urease (jbu) was carried out at two temperatures of 27 and 37?c in tris buffer (30 mm; ph=7.0) using an isothermal titration calorimetry. there is a set of twelve identical and non-interacting binding sites for copper ions. the intrinsic dissociation equilibrium constant and the molar enthalpy of binding are 285 µm and ?15.2 kj/mol at 27?c and 3...

Journal: :ACM Transactions on Computational Logic 2013

Journal: :Trudy Instituta sistemnogo programmirovaniâ 2022

The development and support of knowledge-based systems for experts in the field social network analysis (SNA) is complicated because problems viability maintenance that inevitably emerge data intensive domains. Largely this case due to properties semi-structured objects processes are analyzed by specialists using mining techniques others automated analytical tools. In order be viable a modern p...

Journal: :Transportation Research Part C-emerging Technologies 2021

Vehicle trajectory prediction tasks have been commonly tackled from two distinct perspectives: either with knowledge-driven methods or more recently data-driven ones. On the one hand, we can explicitly implement domain-knowledge physical priors such as anticipating that vehicles will follow middle of roads. While this perspective leads to feasible outputs, it has limited performance due difficu...

Journal: :International Journal on Document Analysis and Recognition 2021

Image captioning is a widely known problem in the area of AI. Caption generation from floor plan images has applications indoor path planning, real estate, and providing architectural solutions. Several methods have been explored literature for generating captions or semi-structured descriptions images. Since only caption insufficient to capture fine-grained details, researchers also proposed d...

Journal: :Journal of Big Data 2023

Abstract This paper describes a new approach to knowledge creation that is instrumental for the emerging paradigm of data-intensive science. The proposed enables acquisition insights from data by exploiting existing relationships between diverse types datasets acquired through various modalities. value consistently improves when it can be linked other because linking multiple allows creating no...

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