NSTL国家科技图书文献中心

1. Generative Image Steganography Based on Latent Space Vector Coding and Diffusion Model NSTL国家科技图书文献中心

Weisong Liu | Jianfeng Yang ... - 《Artificial Intelligence Security and Privacy》 - International Conference on Artificial Intelligence Security and Privacy - 2025, - 167～179 - 共13页

摘要： vector coding and diffusion model. It consists of an | is encoded as a latent space* vector, which is then* | generative image steganography scheme based on latent space | optimized diffusion denoising network, the latent space | vector coding mapping network, and the information

关键词： Generative image steganography | Diffusion model | Space vector

2. Study on classification and retrieval method of e-book resources based on binary sort tree NSTL国家科技图书文献中心

Liping Zhong - 《International journal of reasoning-based intelligent systems》 - 2025,17(1) - 66～72 - 共7页

摘要： platform. The vector* space model is introduced to realise* | retrieval model* is constructed and the stability* | In order to solve the problems of low | classification accuracy and large retrieval error in the | classification and retrieval of e-book resources, a

关键词： binary sort tree | BST | E-book resources | search model | Vector space model | similar distance

3. Soft cosine and extended cosine adaptation for pre-trained language model semantic vector analysis NSTL国家科技图书文献中心

Ijebu, Funebi Franci... | Liu, Yuanchao ... - 《Applied Soft Computing》 - 2025,169 - 共15页

摘要： problems. Vector* comparison is a core subtask in semantic* | evaluation in downstream tasks and ignored other vector | vector measures. We investigate their performance | -weighted cosine, vector* similarity measure, negative* | Semantic textual analysis is a natural

关键词： Transformer-based model | Large language model | Vector space model | Transfer learning | Semantic textual similarity

4. The Euler Angle Error Model Based on Attitude Error of Body Frame in ECEF Frame NSTL国家科技图书文献中心

Gao, Penghua | Qin, Fangjun ... - 《IEEE sensors journal》 - 2025,25(5) - 8656～8664 - 共9页

摘要：The virtual spherical vector position model | -space* model based on the attitude error of body frame* | model based on the attitude error of body frame. First | model is validated through simulation and field test | angles, the proposed model* exhibits superior attitude*

关键词： Navigation | Mathematical models | Vectors | Accuracy | Numerical models | Earth | State-space methods | Sensors | Differential equations | Noise...

5. A goal-oriented document-grounded dialogue based on evidence generation NSTL国家科技图书文献中心

Song Y. | Ye X.... - 《Data & knowledge engineering》 - 2025,155(Jan.) - 1.1～1.16 - 共16页

摘要： method of combining LLMs with vector* space model, or | vector space* models to understand the content of | © 2024 Elsevier B.V.Goal-oriented Document | -grounded Dialogue (DGD) is used for retrieving specific | domain documents, assisting users in document content

关键词： Document-grounded dialogue | Evidence generation | Large language model | Retrieval augmented generation | Vector representation

6. ABBA-VSM: Time Series Classification Using Symbolic Representation on the Edge NSTL国家科技图书文献中心

Meerzhan Kanatbekova | Shashikant Ilager ... - 《Service-Oriented Computing,Part I》 - International Conference on Service-Oriented Computing - 2025, - 38～53 - 共16页

摘要： Brownian Bridge-based Symbolic Aggregation Vector Space | Model (ABBA-VSM). It is a new TSC model designed for | . Subsequently, we train the classification model* directly on* | In recent years, Edge AI has become more | prevalent with applications across various industries

关键词： Edge computing | EdgeAI | Time series classification | Data compression | Symbolic representation

7. Data-Driven Quadratic Modeling in the Loewner Framework from Input-Output Time-Domain Measurements NSTL国家科技图书文献中心

Karachalios, D. S. | Gosea, I., V ... - 《SIAM journal on applied dynamical systems》 - 2025,24(1) - 457～500 - 共44页

摘要：-space* models with nontrivial stable equilibria, such* | achieve low-order global model* identification for* | addresses the inference of a reduced model* from* | Burgers' model* with Robin boundary conditions. These* | In this study, we present a purely data-driven

关键词： data-driven methods | model reduction | system identification | Loewner framework | quadratic state-space modeling | Lorenz attractor | viscous Burgers' equation | Volterra series | quadratic matrix | vector equations

8. Study on Geological Meaning and Application of Mine Water Inflow Series After Phase Space Reconstruction NSTL国家科技图书文献中心

Li, Jianlin | He, Qi ... - 《Mining,Metallurgy & Exploration》 - 2025,42(1) - 255～268 - 共14页

摘要： column vector* of phase space after reconstruction of* | column vector* in phase space will be different, but* | The conclusion that the column vector* of the* | phase space* after reconstruction of the mine water* | prediction model* of the mine water inflow coupled with*

关键词： Mine hydrological system | Phase space reconstruction | Main control factor of water inflow | Chaotic characteristics | Chaos-ENN prediction model

9. A dynamic monolithization method based on oblique photogrammetry real-scene 3D model NSTL国家科技图书文献中心

Ruitao Liu | Jiuyun Sun ... - 《Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024)》 - International Conference on Intelligent Traffic Systems and Smart City - 2025, - 134221O.1～134221O.7 - 共7页

摘要： segmentation and vector* preprocessing of tilted model data* | The real-scene 3D model, established through | oblique photogrammetry, is a surface model* made up of a* | continuous irregular triangular mesh. While this model | , such as physical, assignment, and vector

关键词： Oblique photogrammetry | Real-scene3D model | Monolithicization

10. Satellites state vectors refinement based on international laser ranging system using machine and deep learning NSTL国家科技图书文献中心

Belyakov N.V. | Kolpinskiy S.V. - 《Acta astronautica》 - 2025,226(Jan. Pt.1) - 687～693 - 共7页

摘要： determining the space* objects state vector for classical* | © 2024 IAAWith the increasing number of space | objects in near-Earth space, the necessity of high | -precision determination of space* objects state vectors, as* | potential danger to active satellites and space* stations*

关键词： International Laser Ranging Service data | Machine learning approach | Orbit determination | Space flights safety | Spacecraft state vector refinement | Two Line Elements data

摘要： vector coding and diffusion model. It consists of an | is encoded as a latent space vector, which is then | generative image steganography scheme based on latent space | optimized diffusion denoising network, the latent space | vector coding mapping network, and the information

关键词： Generative image steganography | Diffusion model | Space vector

摘要： platform. The vector space model is introduced to realise | retrieval model is constructed and the stability | In order to solve the problems of low | classification accuracy and large retrieval error in the | classification and retrieval of e-book resources, a

关键词： binary sort tree | BST | E-book resources | search model | Vector space model | similar distance

摘要： problems. Vector comparison is a core subtask in semantic | evaluation in downstream tasks and ignored other vector | vector measures. We investigate their performance | -weighted cosine, vector similarity measure, negative | Semantic textual analysis is a natural

关键词： Transformer-based model | Large language model | Vector space model | Transfer learning | Semantic textual similarity

摘要：The virtual spherical vector position model | -space model based on the attitude error of body frame | model based on the attitude error of body frame. First | model is validated through simulation and field test | angles, the proposed model exhibits superior attitude

关键词： Navigation | Mathematical models | Vectors | Accuracy | Numerical models | Earth | State-space methods | Sensors | Differential equations | Noise...

摘要： method of combining LLMs with vector space model, or | vector space models to understand the content of | © 2024 Elsevier B.V.Goal-oriented Document | -grounded Dialogue (DGD) is used for retrieving specific | domain documents, assisting users in document content

关键词： Document-grounded dialogue | Evidence generation | Large language model | Retrieval augmented generation | Vector representation

摘要： Brownian Bridge-based Symbolic Aggregation Vector Space | Model (ABBA-VSM). It is a new TSC model designed for | . Subsequently, we train the classification model directly on | In recent years, Edge AI has become more | prevalent with applications across various industries