NSTL国家科技图书文献中心

1. Multi-domain modeling of environment and ecosystem of virtual off-road scenes for simulating ground vehicle autonomy NSTL国家科技图书文献中心

Hudson, Christopher ... | Wheeler, Warren ... - 《Simulation》 - 2025,101(1) - 29～39 - 共11页

摘要：Autonomous ground vehicles (AGVs) operating in | off-road terrain are influenced by a variety of | factors that are unique to the off-road environment | , especially the presence of vegetation. Accurately | simulating the performance of AGV requires the creation of

关键词： Off-road | ecosystem | soil moisture | terrain | GROWTH | DISTRIBUTIONS | WATER | REAL

2. Thoroughly Modeling Multi-domain Pre-trained Recommendation as Language NSTL国家科技图书文献中心

ZEKAI QU | RUOBING XIE ... - 《ACM transactions on information systems》 - 2025,43(2) - 54.1～54.28 - 共28页

摘要： multi-domain recommendation tasks. We formally design | obstruct thoroughly modeling* SR as language modeling via* | five key indicators, namely naturalness, domain | modeling via PLM, shedding light on large pre-trained | With the thriving of the pre-trained language

关键词： Recommendation | Language model | Pre-training

3. A novel Modelica-based reliability modeling approach for ship electric propulsion systems NSTL国家科技图书文献中心

Gai, Jingbo | Fang, Jianyang ... - 《Measurement Science & Technology》 - 2025,36(1) - 1～11 - 共11页

摘要： through multi-domain* modeling, captures environmental* | environment, which complicates their reliability modeling | to reliability modeling* for electric propulsion* | modeling methods by considering the heterogeneity | dynamics through parametric modeling, and establishes

关键词： electric propulsion system | reliability modeling | multi-domain modeling | Modelica language

4. Multi-domain physical modeling and dynamic performance analysis of a free-piston Stirling generator NSTL国家科技图书文献中心

Qilu Zhu | Limin Zhang ... - 《Energy》 - 2025,320(Apr.1) - 135417.1～135417.12 - 共12页

摘要： proposed multi-domain* modeling and dynamic analysis* | Free-piston Stirling generators (FPSGs) are | regarded as a promising energy conversion technology for | their reliable and highly efficient operation. Given | the complexity of the coupled dynamic and

关键词： Free-piston Stirling generator | Multi-domain physical model | Piston offset | Dynamic characteristics

5. AMGCN: An adaptive multi-graph convolutional network for speech emotion recognition NSTL国家科技图书文献中心

Lian, Hailun | Lu, Cheng ... - 《Speech Communication》 - 2025,168 - 共11页

摘要： Local Multi-GCN focuses on modeling* dynamic changes* | (SER). However, this global emotion modeling* method* | , particularly in the frequency domain, mainly focuses on | modeling the emotional correlations between frequency | bands while neglecting the modeling* of dynamic changes*

关键词： Multi-graph convolutional network | Speech emotion recognition | Time-frequency domain

6. Research on dynamics parameter identification and intelligent control for delta parallel robot NSTL国家科技图书文献中心

Zheng, Kunming | Zeng, Shuisheng - 《Journal of Mechanical Science and Technology》 - 2025,39(4) - 2099～2111 - 共13页

摘要： coupling multi-energy domain* dynamics model based on the* | electromechanical coupling multi-energy domain* dynamics model and* | coupling multi-energy domain* dynamics model and the* | parallel recursive dynamic modeling* method, and carries* | The dynamics parameter identification of

关键词： Delta parallel robot | Electromechanical coupling multi-energy domain dynamics model | Dynamics parameter identification | Intelligent control

7. Knowledge-enhanced spatial-temporal multi-frequency fusion transformer for plant-wide industrial process monitoring NSTL国家科技图书文献中心

Jinyu Chen | Jianxiang Jin ... - 《Advanced engineering informatics》 - 2025,65(May Pt.B) - 103213.1～103213.14 - 共14页

摘要： temporal modeling, neglecting the significance of | domain information. To address these limitations, we | multi-frequency fusion transformer (KSTFformer) for | knowledge with process data to enhance both modeling | interconnections. Furthermore, a novel multi-band frequency

关键词： Plant-wide industrial processes | Temporal-spatial information | Graph neural networks | Transformer | Unsupervised learning

8. A Frequency Domain Approach for Analyzing Random Vibrations of Wind Turbine Tower NSTL国家科技图书文献中心

Yangyudong Liu - 《Computational and Experimental Simulations in Engineering,Volume 3》 - International Conference on Computational & Experimental Engineering and Sciences - 2025, - 679～692 - 共14页

摘要：-domain* analysis of stochastic responses. To mitigate* | this, we introduce a frequency-domain* linearization* | approach for the tower's dynamic modeling, thereby | a frequency-based framework for modeling* wind* | . A flexible multi-body dynamics (MBD) framework is

关键词： Onshore wind turbine | Stochastic dynamic response | Frequency domain method | Flexible multi-Body dynamics | Multi-blade coordinate transformation

9. A Novel Interdisciplinarity Model Towards Inter-domain Information Pairing NSTL国家科技图书文献中心

Nicolas Douard | Ahmed Samet ... - 《World conference of AI-powered innovation and inventive design,part 2》 - International TRIZ future conference - 2025, - 277～285 - 共9页

摘要： connections is essential for solving complex, multi-domain | Modeling, and Generative AI to foster innovation across | innovation through effective cross-domain* knowledge* | This study introduces an interdisciplinary | prediction framework as part of a novel approach that

关键词： Interdisciplinary mapping | cross-domain transfer | biomimicry | literature analysis | topic models | language models

10. When Fast Fourier Transform Meets Transformer for Image Restoration NSTL国家科技图书文献中心

Xingyu Jiang | Xiuhui Zhang ... - 《Computer Vision - ECCV 2024,Part XLV》 - European Conference on Computer Vision - 2025, - 381～402 - 共22页

摘要： domain hybrid structure for multi-scale receptive | fields modeling, in which the spatial domain* and the* | frequency domain* focuses on local modeling and global* | modeling, respectively. Moreover, we design unique | -domain* features. Extensive experiments on thirty-one*

摘要：Autonomous ground vehicles (AGVs) operating in | off-road terrain are influenced by a variety of | factors that are unique to the off-road environment | , especially the presence of vegetation. Accurately | simulating the performance of AGV requires the creation of

关键词： Off-road | ecosystem | soil moisture | terrain | GROWTH | DISTRIBUTIONS | WATER | REAL

摘要： multi-domain recommendation tasks. We formally design | obstruct thoroughly modeling* SR as language modeling via* | five key indicators, namely naturalness, domain | modeling via PLM, shedding light on large pre-trained | With the thriving of the pre-trained language

关键词： Recommendation | Language model | Pre-training

摘要： through multi-domain* modeling, captures environmental* | environment, which complicates their reliability modeling | to reliability modeling* for electric propulsion* | modeling methods by considering the heterogeneity | dynamics through parametric modeling, and establishes

关键词： electric propulsion system | reliability modeling | multi-domain modeling | Modelica language

摘要： proposed multi-domain* modeling and dynamic analysis* | Free-piston Stirling generators (FPSGs) are | regarded as a promising energy conversion technology for | their reliable and highly efficient operation. Given | the complexity of the coupled dynamic and

关键词： Free-piston Stirling generator | Multi-domain physical model | Piston offset | Dynamic characteristics

摘要： Local Multi-GCN focuses on modeling* dynamic changes* | (SER). However, this global emotion modeling* method* | , particularly in the frequency domain, mainly focuses on | modeling the emotional correlations between frequency | bands while neglecting the modeling* of dynamic changes*

关键词： Multi-graph convolutional network | Speech emotion recognition | Time-frequency domain

摘要： coupling multi-energy domain* dynamics model based on the* | electromechanical coupling multi-energy domain* dynamics model and* | coupling multi-energy domain* dynamics model and the* | parallel recursive dynamic modeling* method, and carries* | The dynamics parameter identification of

关键词： Delta parallel robot | Electromechanical coupling multi-energy domain dynamics model | Dynamics parameter identification | Intelligent control

摘要： temporal modeling, neglecting the significance of | domain information. To address these limitations, we | multi-frequency fusion transformer (KSTFformer) for | knowledge with process data to enhance both modeling | interconnections. Furthermore, a novel multi-band frequency

关键词： Plant-wide industrial processes | Temporal-spatial information | Graph neural networks | Transformer | Unsupervised learning

摘要：-domain* analysis of stochastic responses. To mitigate* | this, we introduce a frequency-domain* linearization* | approach for the tower's dynamic modeling, thereby | a frequency-based framework for modeling* wind* | . A flexible multi-body dynamics (MBD) framework is

关键词： Onshore wind turbine | Stochastic dynamic response | Frequency domain method | Flexible multi-Body dynamics | Multi-blade coordinate transformation

摘要： connections is essential for solving complex, multi-domain | Modeling, and Generative AI to foster innovation across | innovation through effective cross-domain* knowledge* | This study introduces an interdisciplinary | prediction framework as part of a novel approach that

关键词： Interdisciplinary mapping | cross-domain transfer | biomimicry | literature analysis | topic models | language models

摘要： domain hybrid structure for multi-scale receptive | fields modeling, in which the spatial domain* and the* | frequency domain* focuses on local modeling and global* | modeling, respectively. Moreover, we design unique | -domain* features. Extensive experiments on thirty-one*

关键词： Image restoration | Frequency feature | Deep learning

4008-161-200 800-990-8900

国家科技图书文献中心

摘要：Autonomous ground vehicles (AGVs) operating in | off-road terrain are influenced by a variety of | factors that are unique to the off-road environment | , especially the presence of vegetation. Accurately | simulating the performance of AGV requires the creation of

关键词： Off-road | ecosystem | soil moisture | terrain | GROWTH | DISTRIBUTIONS | WATER | REAL

摘要： multi-domain recommendation tasks. We formally design | obstruct thoroughly modeling SR as language modeling via | five key indicators, namely naturalness, domain | modeling via PLM, shedding light on large pre-trained | With the thriving of the pre-trained language

关键词： Recommendation | Language model | Pre-training

摘要： through multi-domain modeling, captures environmental | environment, which complicates their reliability modeling | to reliability modeling for electric propulsion | modeling methods by considering the heterogeneity | dynamics through parametric modeling, and establishes

关键词： electric propulsion system | reliability modeling | multi-domain modeling | Modelica language

摘要： proposed multi-domain modeling and dynamic analysis | Free-piston Stirling generators (FPSGs) are | regarded as a promising energy conversion technology for | their reliable and highly efficient operation. Given | the complexity of the coupled dynamic and

关键词： Free-piston Stirling generator | Multi-domain physical model | Piston offset | Dynamic characteristics

摘要： Local Multi-GCN focuses on modeling dynamic changes | (SER). However, this global emotion modeling method | , particularly in the frequency domain, mainly focuses on | modeling the emotional correlations between frequency | bands while neglecting the modeling of dynamic changes

关键词： Multi-graph convolutional network | Speech emotion recognition | Time-frequency domain

摘要： coupling multi-energy domain dynamics model based on the | electromechanical coupling multi-energy domain dynamics model and | coupling multi-energy domain dynamics model and the | parallel recursive dynamic modeling method, and carries | The dynamics parameter identification of

关键词： Delta parallel robot | Electromechanical coupling multi-energy domain dynamics model | Dynamics parameter identification | Intelligent control

摘要： temporal modeling, neglecting the significance of | domain information. To address these limitations, we | multi-frequency fusion transformer (KSTFformer) for | knowledge with process data to enhance both modeling | interconnections. Furthermore, a novel multi-band frequency

关键词： Plant-wide industrial processes | Temporal-spatial information | Graph neural networks | Transformer | Unsupervised learning

摘要：-domain analysis of stochastic responses. To mitigate | this, we introduce a frequency-domain linearization | approach for the tower's dynamic modeling, thereby | a frequency-based framework for modeling wind | . A flexible multi-body dynamics (MBD) framework is

关键词： Onshore wind turbine | Stochastic dynamic response | Frequency domain method | Flexible multi-Body dynamics | Multi-blade coordinate transformation

摘要： connections is essential for solving complex, multi-domain | Modeling, and Generative AI to foster innovation across | innovation through effective cross-domain knowledge | This study introduces an interdisciplinary | prediction framework as part of a novel approach that

关键词： Interdisciplinary mapping | cross-domain transfer | biomimicry | literature analysis | topic models | language models

摘要： domain hybrid structure for multi-scale receptive | fields modeling, in which the spatial domain and the | frequency domain focuses on local modeling and global | modeling, respectively. Moreover, we design unique | -domain features. Extensive experiments on thirty-one

关键词： Image restoration | Frequency feature | Deep learning

4008-161-200 800-990-8900

国家科技图书文献中心

摘要： multi-domain recommendation tasks. We formally design | obstruct thoroughly modeling* SR as language modeling via* | five key indicators, namely naturalness, domain | modeling via PLM, shedding light on large pre-trained | With the thriving of the pre-trained language

摘要： through multi-domain* modeling, captures environmental* | environment, which complicates their reliability modeling | to reliability modeling* for electric propulsion* | modeling methods by considering the heterogeneity | dynamics through parametric modeling, and establishes

摘要： proposed multi-domain* modeling and dynamic analysis* | Free-piston Stirling generators (FPSGs) are | regarded as a promising energy conversion technology for | their reliable and highly efficient operation. Given | the complexity of the coupled dynamic and

摘要： Local Multi-GCN focuses on modeling* dynamic changes* | (SER). However, this global emotion modeling* method* | , particularly in the frequency domain, mainly focuses on | modeling the emotional correlations between frequency | bands while neglecting the modeling* of dynamic changes*

摘要： coupling multi-energy domain* dynamics model based on the* | electromechanical coupling multi-energy domain* dynamics model and* | coupling multi-energy domain* dynamics model and the* | parallel recursive dynamic modeling* method, and carries* | The dynamics parameter identification of

摘要：-domain* analysis of stochastic responses. To mitigate* | this, we introduce a frequency-domain* linearization* | approach for the tower's dynamic modeling, thereby | a frequency-based framework for modeling* wind* | . A flexible multi-body dynamics (MBD) framework is

摘要： connections is essential for solving complex, multi-domain | Modeling, and Generative AI to foster innovation across | innovation through effective cross-domain* knowledge* | This study introduces an interdisciplinary | prediction framework as part of a novel approach that

摘要： domain hybrid structure for multi-scale receptive | fields modeling, in which the spatial domain* and the* | frequency domain* focuses on local modeling and global* | modeling, respectively. Moreover, we design unique | -domain* features. Extensive experiments on thirty-one*