Zobrazeno 1 - 10
of 13 898
pro vyhledávání: '"Incremental learning"'
PCNet: a human pose compensation network based on incremental learning for sports actions estimation
Autor:
Jia-Hong Jiang, Nan Xia
Publikováno v:
Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-15 (2024)
Abstract Human pose estimation has a wide range of applications. Existing methods perform well in conventional domains, but there are certain defects when they are applied to sports activities. The first is lack of estimation of the extremity posture
Externí odkaz:
https://doaj.org/article/4634e20b6d1f4d2890a7b23f2769129a
Publikováno v:
BioData Mining, Vol 17, Iss 1, Pp 1-25 (2024)
Abstract The outbreak of emerging infectious diseases poses significant challenges to global public health. Accurate early forecasting is crucial for effective resource allocation and emergency response planning. This study aims to develop a comprehe
Externí odkaz:
https://doaj.org/article/2dd7eae3142a4a2caf67424a2cc3a732
Publikováno v:
Alexandria Engineering Journal, Vol 105, Iss , Pp 137-155 (2024)
Global Positioning System (GPS)/Inertial Navigation System (INS) integration is a widely used technique for navigation and positioning applications. It combines the advantages of GPS and INS to provide accurate and reliable information. However, the
Externí odkaz:
https://doaj.org/article/dd0b70f7ff6d42d9aa3a2a0c4cff1b5f
Autor:
Sandeep Kumar, Amit Sharma, Vikrant Shokeen, Ahmad Taher Azar, Syed Umar Amin, Zafar Iqbal Khan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract Modern natural language processing (NLP) state-of-the-art (SoTA) deep learning (DL) models have hundreds of millions of parameters, making them extremely complex. Large datasets are required for training these models, and while pretraining h
Externí odkaz:
https://doaj.org/article/4b576478175e40a78d55f7f4e65df8df
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 3, Pp 1921-1935 (2024)
In this paper, a method is introduced to control the dark knowledge values also known as soft targets, with the purpose of improving the training by knowledge distillation for multi-class classification tasks. Knowledge distillation effectively trans
Externí odkaz:
https://doaj.org/article/5eb7bf639c7a472ba9fb35e9da07c2eb
Autor:
Zihao ZHANG, Yuanyuan YANG
Publikováno v:
Zhongguo yiliao qixie zazhi, Vol 48, Iss 4, Pp 355-360 (2024)
In response to the issue that traditional lung nodule detection models cannot dynamically optimize and update with the increase of new data, a new lung nodule detection model—task incremental meta-learning model (TIMLM) is proposed. This model comp
Externí odkaz:
https://doaj.org/article/426ba1dea3434e5194380a1632cfe285
Autor:
CHEN Dongyang, MAO Li
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 7, Pp 1889-1899 (2024)
Stock price prediction has always been a focal topic in financial research and quantitative investment. Currently, most deep learning models for stock price prediction are based on batch learning settings, which require prior knowledge of the trainin
Externí odkaz:
https://doaj.org/article/cfaccbde2695417490f88e8b7674a7ea
Autor:
Aijun Yan, Shixiao He
Publikováno v:
Industrial Artificial Intelligence, Vol 2, Iss 1, Pp 1-11 (2024)
Abstract To solve the problems of the low efficiency of parameter allocation and time-consuming computation of output weights in the hidden layers of stochastic configuration networks (SCNs), an optimization method is proposed to improve the SCNs con
Externí odkaz:
https://doaj.org/article/bf2829c1f6a545c3aca25ce16bfb1fd4
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
Collaborative robots (cobots) are increasingly integrated into Industry 4.0 dynamic manufacturing environments that require frequent system reconfiguration due to changes in cobot paths and payloads. This necessitates fast methods for identifying pay
Externí odkaz:
https://doaj.org/article/86082d017d4e42f3beaae38108db9ed0
Autor:
Leonard Bärmann, Rainer Kartmann, Fabian Peller-Konrad, Jan Niehues, Alex Waibel, Tamim Asfour
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
Natural-language dialog is key for an intuitive human–robot interaction. It can be used not only to express humans’ intents but also to communicate instructions for improvement if a robot does not understand a command correctly. It is of great im
Externí odkaz:
https://doaj.org/article/a6a2b07d4fda44f2915ba8c3cd703fac