Results 81 to 90 of about 1,801,338 (187)

English teaching resource recommendation based on IoT location context localization algorithm

Discover Internet of Things
To improve the efficiency of English teaching resource utilization, this study proposes an intelligent resource recommendation technology based on the Internet of Things. Specifically, the sparrow algorithm is used to locate node information, and dynamic
Shu Gao
doaj   +1 more source

AG-YOLO: A Rapid Citrus Fruit Detection Algorithm with Global Context Fusion

Agriculture
Citrus fruits hold pivotal positions within the agricultural sector. Accurate yield estimation for citrus fruits is crucial in orchard management, especially when facing challenges of fruit occlusion due to dense foliage or overlapping fruits. This study
Yishen Lin, Zifan Huang, Yun Liang, Yunfan Liu, Weipeng Jiang   +4 more
doaj   +1 more source

Trie-based rule processing for clinical NLP: A use-case study of n-trie, making the ConText algorithm more efficient and scalable. [PDF]

J Biomed Inform, 2018
Shi J, Hurdle JF.
europepmc   +1 more source

Algorithm for Mining Maximal Balanced Bicliques Using Formal Concept Analysis

IEEE Access
One of the most fundamental models for cohesive subgraph mining in network analysis is that which involves the use of cliques. In bipartite graph analysis, the detection of maximal balanced bicliques (MBB) is an important problem with numerous ...
Ilkhomjon Sadriddinov, Sony Peng, Sophort Siet, Dae-Young Kim, Doo-Soon Park, Gangman Yi   +5 more
doaj   +1 more source

STDE-YOLOv5s: a traffic sign detection algorithm based on context information enhancement

Discover Artificial Intelligence
With the rapid development of autonomous driving technology, traffic sign detection has become a crucial component. Existing object detection networks encounter difficulties in accurately identifying small sized traffic signs.
Qi Tian, Juwei Zhang
doaj   +1 more source

On the Error Statistics of Turbo Decoding for Hybrid Concatenated Codes Design

Journal of Communications Software and Systems, 2019
In this paper we propose a model for the generation of error patterns at the output of a turbo decoder. One of the advantages of this model is that it can be used to generate the error sequence with little effort.
Fulvio Babich, Francesca Vatta
doaj  

Social harms in an algorithmic context

Justice, Power and Resistance, 2022
Alvesalo-Kuusi Anne, Malik Hanna, Viljanen Mika, Lepinkäinen Nea   +3 more
openaire   +1 more source

PhenoFit: a framework for determining computable phenotyping algorithm fitness for purpose and reuse. [PDF]

J Am Med Inform Assoc
Wiley LK, Rasmussen LV, Levinson RT, Malinowski J, Manemann SM, Wilson MP, Chapman M, Pacheco JA, Walunas TL, Starren JB, Bielinski SJ, Richesson RL.   +11 more
europepmc   +1 more source

AsynDBT: asynchronous distributed bilevel tuning for efficient in-context learning with large language models. [PDF]

Sci Rep
Ma H, Dou S, Liu Y, Xing F, Feng L, Pi F.   +5 more
europepmc   +1 more source

Employing in-context learning prompts with large language models for drone routing in delivery services. [PDF]

PLoS One
Masoud M, Elhenawy M, Abdelhay A.
europepmc   +1 more source