Results 41 to 50 of about 3,999,655 (320)
In this paper, based on the multi-scale multi-domain (MSMD) battery modeling approach, the NTGK model was used to model the 18650 cylindrical lithium-ion single battery on the electrochemical sub-scale. The model was successful, as it was able to fit the
Heng Huang +7 more
doaj +1 more source
Task-adaptive Neural Process for User Cold-Start Recommendation [PDF]
User cold-start recommendation is a long-standing challenge for recommender systems due to the fact that only a few interactions of cold-start users can be exploited.
Xixun Lin +5 more
semanticscholar +1 more source
Effect of the Air Flow on the Combustion Process and Preheating Effect of the Intake Manifold Burner
Diesel engines show poor performance and high emissions under cold-start conditions. The intake manifold burner is an effective method to increase the intake air temperature and improve engine performance.
Zhishuang Li +3 more
doaj +1 more source
CRUC: Cold-start Recommendations Using Collaborative Filtering in Internet of Things [PDF]
The Internet of Things (IoT) aims at interconnecting everyday objects (including both things and users) and then using this connection information to provide customized user services.
Xiong, Haoyi, Zhang, Daqiang, Zou, Qin
core +2 more sources
An embedded bandit algorithm based on agent evolution for cold-start problem
PurposeMany recommender systems are generally unable to provide accurate recommendations to users with limited interaction history, which is known as the cold-start problem. This issue can be resolved by trivial approaches that select random items or the
Rui Qiu, Wen Ji
doaj +1 more source
Cold start performance analysis of PEMFC with different assisted heating strategies
Large-scale use of proton exchange membrane fuel cell (PEMFC) is restricted by the challenge of cold start. A three-dimensional, transient, multiphase flow cold-start model is established to investigate the effects of different assisted heating ...
Wenhao Li +5 more
doaj +1 more source
In order to mitigate the irreversible damage caused by cold start and preserve cell performance, this paper proposes a real-time prediction method based on the remaining cold start time of the proton exchange membrane fuel cell (PEMFC).
Huiying Zhang +3 more
doaj +1 more source
Deuterium burning in objects forming via the core accretion scenario - Brown dwarfs or planets?
Aims. Our aim is to study deuterium burning in objects forming according to the core accretion scenario in the hot and cold start assumption and what minimum deuterium burning mass limit is found for these objects.
Mollière, Paul, Mordasini, Christoph
core +1 more source
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
We propose a new STAcked and Reconstructed Graph Convolutional Networks (STAR-GCN) architecture to learn node representations for boosting the performance in recommender systems, especially in the cold start scenario.
King, Irwin +3 more
core +1 more source
Budget-Constrained Item Cold-Start Handling in Collaborative Filtering Recommenders via Optimal Design [PDF]
It is well known that collaborative filtering (CF) based recommender systems provide better modeling of users and items associated with considerable rating history. The lack of historical ratings results in the user and the item cold-start problems.
Anava, Oren +6 more
core +1 more source

