|
|
|
|
|
Fahim Sufi
GPT (Generative Pre-trained Transformer) represents advanced language models that have significantly reshaped the academic writing landscape. These sophisticated language models offer invaluable support throughout all phases of research work, facilitatin...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wei Zhuang, Zhiheng Li, Ying Wang, Qingyu Xi and Min Xia
Predicting photovoltaic (PV) power generation is a crucial task in the field of clean energy. Achieving high-accuracy PV power prediction requires addressing two challenges in current deep learning methods: (1) In photovoltaic power generation prediction...
ver más
|
|
|
|
|
|
|
|
|
|
|
Puti Yan, Zhen Cao, Jiangbo Peng, Chaobo Yang, Xin Yu, Penghua Qiu, Shanchun Zhang, Minghong Han, Wenbei Liu and Zuo Jiang
A flame?s structural feature is a crucial parameter required to comprehensively understand the interaction between turbulence and flames. The generation and evolution processes of the structure feature have rarely been investigated in lean blowout (LBO) ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ruoyang Li, Shuping Xiong, Yinchao Che, Lei Shi, Xinming Ma and Lei Xi
Semantic segmentation algorithms leveraging deep convolutional neural networks often encounter challenges due to their extensive parameters, high computational complexity, and slow execution. To address these issues, we introduce a semantic segmentation ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Umberto Saetti, Jonathan Rogers, Mushfiqul Alam and Michael Jump
A novel trajectory generation and control architecture for fully autonomous autorotative flare that combines rapid path generation with model-based control is proposed. The trajectory generation component uses optical Tau theory to compute flare trajecto...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shurong Peng, Lijuan Guo, Yuanshu Li, Haoyu Huang, Jiayi Peng and Xiaoxu Liu
The allocation of biogas between power generation and heat supply in traditional kitchen waste power generation system is unreasonable; for this reason, a biogas prediction method based on feature selection and heterogeneous model integration learning is...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mahmoud Elkhodr, Samiya Khan and Ergun Gide
In the modern digital landscape of the Internet of Things (IoT), data interoperability and heterogeneity present critical challenges, particularly with the increasing complexity of IoT systems and networks. Addressing these challenges, while ensuring dat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhenwen He, Xianzhen Liu and Chunfeng Zhang
Three-dimensional voxel models are widely applied in various fields such as 3D imaging, industrial design, and medical imaging. The advancement of 3D modeling techniques and measurement devices has made the generation of three-dimensional models more con...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hongyu Shao, Sizhe Pan, Yufei Song and Quanfu Li
In the context of rapid product iteration, design conflicts arise from discrepancies in designers? understanding of user needs, influenced by subjective preferences, behavioural stances, and other factors. This paper proposes a product conceptual design ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Guanghao Liu, Meifa Huang and Wenbo Su
At present, the automatic generation of tolerance types based on rule-based reasoning has an obvious characteristic: for the same assembly feature, tolerance items are recommended that satisfy all feature characteristics, with a large number of recommend...
ver más
|
|
|
|
|
|