Results 211 to 220 of about 69,276 (264)

Lightweight model-based sheep face recognition via face image recording channel. [PDF]

J Anim Sci
Zhang X, Xuan C, Ma Y, Liu H, Xue J.
europepmc   +1 more source

UTact: Underwater Vision‐Based Tactile Sensor with Geometry Reconstruction and Contact Force Estimation

Advanced Robotics Research, EarlyView.
Embedded flexible sensing technologies advance underwater soft robotics, yet most systems still suffer from hysteresis and limited perceptiveness. Instead, vision‐based tactile sensors provide reliable and rapid feedback essential for complex underwater tasks.
Qiyi Zhang, Zonghao Zuo, Haoxuan Wang, Bin Liu, Yilidusi Yilihamu, Li Wen   +5 more
wiley   +1 more source

An exploration of the influence of ZnO NPs treatment on germination of radish seeds under salt stress based on the YOLOv8-R lightweight model. [PDF]

Plant Methods
Ouyang Z, Fu X, Zhong Z, Bai R, Cheng Q, Gao G, Li M, Zhang H, Zhang Y.   +8 more
europepmc   +1 more source

Enhancing Sun-Dried Kelp Detection: Introducing K-YOLO, a Lightweight Model with Improved Precision and Recall. [PDF]

Sensors (Basel)
Xiao Z, Zhu Y, Hong Y, Ma T, Jiang T.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Lightweight Business Process Modelling

2010 International Conference on E-Business and E-Government, 2010
The Internet and related technologies have created an interconnected world in which we can exchange information easily, process tasks collaboratively, and form communities among users with similar interests. This allows improved efficiency and performance. Allowing business users to model their needs is a trend of business process modelling.
Li Xie, Lai Xu, Paul de Vrieze
openaire   +1 more source

Lightweight lexical source model extraction

ACM Transactions on Software Engineering and Methodology, 1996
Software engineers maintaining an existing software system often depend on the mechanized extraction of information from system artifacts. Some useful kinds of information—source models—are well known: call graphs, file dependences, etc. Predicting every kind of source model that a software engineer may need is impossible.
Gail C. Murphy, David Notkin
openaire   +1 more source

Automatic Lightweight of BIM Model

2021
At present, the application of BIM in China's rail transit is being vigorously promoted. However, due to the large volume of the Revit model designed by BIM of rail transit, it is impossible to browse the BIM design results on the website, which restricts the application of BIM.
Haibing Zhang, Feng Cao, Gaobo Duan, Yonghong Xu   +3 more
openaire   +1 more source

Lightweight User Modeling – A Case Study

2011
In the context of previous publications, we propose a new lightweight UM process, intended to work as a tourism recommender system in a commercial environment. The new process tackles issues like cold start, gray sheep and over specialization through a rich user model and the application of a gradual forgetting function to the collected user action ...
Luz, Nuno, Anacleto, Ricardo, Martins, Constantino, Almeida, Ana   +3 more
openaire   +2 more sources

Lightweight models for fruits recognition

2019 IEEE 13th International Symposium on Applied Computational Intelligence and Informatics (SACI), 2019
Image classification is a well known example of a complex problem that can be tackled using deep learning. In the latest period, convolutional neural networks were successfully applied in order to solve the problem. Moreover, recently, the research directions have been focusing more on developing lightweight models that can still achieve good ...
Mihai Teletin, Lorand Dobai
openaire   +1 more source