NSTL国家科技图书文献中心

1. Characteristic Analysis of India-Burma Trough Events and Its Impact on Winter Precipitation in South and East Asia: Based on Objective Identification NSTL国家科技图书文献中心

Cao, Xiaohang | Yuan, Junpeng ... - 《Journal of Climate》 - 2025,38(1) - 387～401 - 共15页

摘要：During the boreal winter, the India-Burma | trough (IBT), a shortwave trough system primarily | positioned over the northern Bay of Bengal, exerts a | significant synoptic-scale variation and impact on | precipitation in South and East Asia. This study utilizes the

关键词： Rossby waves | Synoptic climatology | Synoptic-scale processes | Troughs

2. A novel method of parameter identification for electrochemical models of LiFePO4 batteries using parallel computing and multi-objective optimization NSTL国家科技图书文献中心

Kang, Jianqiang | Gong, Zhichao ... - 《Journal of Energy Storage》 - 2025,122(Jun.) - 1.1～1.12 - 共12页

摘要：Accurate parameter identification* is crucial* | parameter identification* method for LiFePO4 batteries. By* | for constructing high-fidelity battery digital twins | . Existing methods often struggle with overfitting | , measurement errors, and the neglect of hysteresis effects

关键词： LiFePO4 battery | Parameter identification | Multi-objective optimization | Parallel computing | SENSITIVITY-ANALYSIS | DISCHARGE | MECHANISM

3. Multi-objective optimal input design for grey-box identification modelling of ship manoeuvring motion NSTL国家科技图书文献中心

Lichao Jiang | Xiaobing Shang ... - 《Ships and offshore structures》 - 2025,20(1/3) - 178～187 - 共10页

摘要： manoeuvring motion, a multi-objective* optimal input design* | -objective* optimization problem (MOP), where both of D* | -objective* functions to improve the accuracy and robustness* | -box identification* of the MMG model.* | Grey-box modelling has been widely used to

关键词： Grey-box modelling | ship manoeuvring motion | multi-objective optimal input design | TOPSIS | parameter drift

4. Pareto multi-objective optimization for high locality-preserving space-filling curve identification NSTL国家科技图书文献中心

Franco, Patrick | Mullot, Remy ... - 《Swarm and Evolutionary Computation》 - 2025,92 - 101797.1～101797.11 - 共11页

摘要： original approach dedicated to the identification* of high* | -objective* optimization framework guided by Pareto* | specific radius value can be processed as an objective | function (to be minimized). The overall multi-objective | define an accurately process of pattern identification

关键词： Space-filling curves | New patterns | Locality preserving | Multi-objective optimization | Pareto dominance | Evolutionary process

5. A Method for Identifying Warm Fronts in Eurasia NSTL国家科技图书文献中心

Qin, Yujing | Wang, Jiachen ... - 《International Journal of Climatology》 - 2025,45(1) - n/a～n/a - 共12页

摘要： paper proposes a new objective* method for identifying* | shape of the objective* warm front correspond well with* | method. Meanwhile, the high agreement between objective | Warm fronts often trigger significant weather | changes, which also play a role in many extreme weather

关键词： Eurasia | objective identification | warm fronts

6. Impact load identification of high-speed train scale carbody based on multi-objective optimisation and TwIST sparse regularisation NSTL国家科技图书文献中心

Zhang, Ying | Miao, Bingrong ... - 《Nondestructive Testing and Evaluation》 - 2025,40(1) - 365～385 - 共21页 - 被引量：1

摘要：Effective identification* of dynamic loads on* | has been proposed for dynamic load identification* to* | sensor placement on the identification* results. The* | MOHBA (Multi-objective* Optimisation Honey Badger* | identification results can still be achieved when the noise

关键词： Inverse problem | impact load identification | scale carbody | MOHBA | spare regularisation | TwIST

7. An effective multi-objective community development algorithm and its application to identify control model of supercritical units NSTL国家科技图书文献中心

Wu, Mingliang | Yang, Dongsheng ... - 《Swarm and Evolutionary Computation》 - 2025,92 - 101790.1～101790.23 - 共23页

摘要： to forma multi-objective* community development* | -objective* Congress on Evolutionary Computation 2020 and* | -objective* optimization problems. For engineering practice* | the single objective* algorithm. During the encoding* | . Most importantly, the identification* accuracy of*

关键词： Multi-objective optimization | Multimodal | Community development algorithm | Control model identification | Supercritical units

8. Dynamic modeling method and parameter calibration of subarea thin-layer elements in bolted connection area of diaphragm coupling NSTL国家科技图书文献中心

Wen, Huabing | Gao, Shuaishuai - 《Physica Scripta》 - 2025,100(3) - 共21页

摘要： identification based on the multi-objective genetic algorithm | , a parameter identification* method that can* | Aiming at the finite element modeling problem | on the dynamic characteristics of multi-layer | elastic diaphragm bolted joints, and adopting the

关键词： subarea thin-layer element | diaphragm coupling | dynamic characteristics | parameter identification | multi-objective genetic algorithm

9. Computational forensic identification of deceased using 3D bone segmentation and registration NSTL国家科技图书文献中心

Neuhaus, Dominique | Wittig, Holger ... - 《Forensic science international》 - 2025,367 - 112380～112380 - 共6页

摘要： and thus, more objective* identification approach. An* | approach for objective* identification of unknown deceased* | The identification* of deceased with unknown* | . Current radiologic identification* approaches are often* | sternal bone and T5 vertebra for identification, the

关键词： Forensic Identification | Computational Radiologic Identification | Sternal bone | Vertebrae | Postmortem CT | 3D Registration

10. Optimization of TBM Tunneling Parameters for Deep Buried Tunnel Based on Rock Cluster Grading and Strata Intelligent Identification NSTL国家科技图书文献中心

Kang,Fu | Daohong,Qiu ... - 《Rock Mechanics and Rock Engineering》 - 2025,58(3) - 2607～2633 - 共27页

摘要：) algorithm. On this basis, a strata identification* model* | identification accuracy of 92.5%, achieving accurate | identification of the strata. Subsequently, a prediction model | Abstract The intelligent decision-making of | tunnel boring machine (TBM) tunneling parameters is of

摘要：During the boreal winter, the India-Burma | trough (IBT), a shortwave trough system primarily | positioned over the northern Bay of Bengal, exerts a | significant synoptic-scale variation and impact on | precipitation in South and East Asia. This study utilizes the

关键词： Rossby waves | Synoptic climatology | Synoptic-scale processes | Troughs

摘要：Accurate parameter identification* is crucial* | parameter identification* method for LiFePO4 batteries. By* | for constructing high-fidelity battery digital twins | . Existing methods often struggle with overfitting | , measurement errors, and the neglect of hysteresis effects

关键词： LiFePO4 battery | Parameter identification | Multi-objective optimization | Parallel computing | SENSITIVITY-ANALYSIS | DISCHARGE | MECHANISM

摘要： manoeuvring motion, a multi-objective* optimal input design* | -objective* optimization problem (MOP), where both of D* | -objective* functions to improve the accuracy and robustness* | -box identification* of the MMG model.* | Grey-box modelling has been widely used to

关键词： Grey-box modelling | ship manoeuvring motion | multi-objective optimal input design | TOPSIS | parameter drift

摘要： original approach dedicated to the identification* of high* | -objective* optimization framework guided by Pareto* | specific radius value can be processed as an objective | function (to be minimized). The overall multi-objective | define an accurately process of pattern identification

关键词： Space-filling curves | New patterns | Locality preserving | Multi-objective optimization | Pareto dominance | Evolutionary process

摘要： paper proposes a new objective* method for identifying* | shape of the objective* warm front correspond well with* | method. Meanwhile, the high agreement between objective | Warm fronts often trigger significant weather | changes, which also play a role in many extreme weather

关键词： Eurasia | objective identification | warm fronts

摘要：Effective identification* of dynamic loads on* | has been proposed for dynamic load identification* to* | sensor placement on the identification* results. The* | MOHBA (Multi-objective* Optimisation Honey Badger* | identification results can still be achieved when the noise

关键词： Inverse problem | impact load identification | scale carbody | MOHBA | spare regularisation | TwIST

摘要： to forma multi-objective* community development* | -objective* Congress on Evolutionary Computation 2020 and* | -objective* optimization problems. For engineering practice* | the single objective* algorithm. During the encoding* | . Most importantly, the identification* accuracy of*

关键词： Multi-objective optimization | Multimodal | Community development algorithm | Control model identification | Supercritical units

摘要： identification based on the multi-objective genetic algorithm | , a parameter identification* method that can* | Aiming at the finite element modeling problem | on the dynamic characteristics of multi-layer | elastic diaphragm bolted joints, and adopting the

关键词： subarea thin-layer element | diaphragm coupling | dynamic characteristics | parameter identification | multi-objective genetic algorithm

摘要： and thus, more objective* identification approach. An* | approach for objective* identification of unknown deceased* | The identification* of deceased with unknown* | . Current radiologic identification* approaches are often* | sternal bone and T5 vertebra for identification, the

关键词： Forensic Identification | Computational Radiologic Identification | Sternal bone | Vertebrae | Postmortem CT | 3D Registration

摘要：) algorithm. On this basis, a strata identification* model* | identification accuracy of 92.5%, achieving accurate | identification of the strata. Subsequently, a prediction model | Abstract The intelligent decision-making of | tunnel boring machine (TBM) tunneling parameters is of

关键词： TBM | Surrounding rock classification | Strata identification | Multi-objective optimization | Deep clustering

4008-161-200 800-990-8900

国家科技图书文献中心

摘要：During the boreal winter, the India-Burma | trough (IBT), a shortwave trough system primarily | positioned over the northern Bay of Bengal, exerts a | significant synoptic-scale variation and impact on | precipitation in South and East Asia. This study utilizes the

关键词： Rossby waves | Synoptic climatology | Synoptic-scale processes | Troughs

摘要：Accurate parameter identification is crucial | parameter identification method for LiFePO4 batteries. By | for constructing high-fidelity battery digital twins | . Existing methods often struggle with overfitting | , measurement errors, and the neglect of hysteresis effects

关键词： LiFePO4 battery | Parameter identification | Multi-objective optimization | Parallel computing | SENSITIVITY-ANALYSIS | DISCHARGE | MECHANISM

摘要： manoeuvring motion, a multi-objective optimal input design | -objective optimization problem (MOP), where both of D | -objective functions to improve the accuracy and robustness | -box identification of the MMG model. | Grey-box modelling has been widely used to

关键词： Grey-box modelling | ship manoeuvring motion | multi-objective optimal input design | TOPSIS | parameter drift

摘要： original approach dedicated to the identification of high | -objective optimization framework guided by Pareto | specific radius value can be processed as an objective | function (to be minimized). The overall multi-objective | define an accurately process of pattern identification

关键词： Space-filling curves | New patterns | Locality preserving | Multi-objective optimization | Pareto dominance | Evolutionary process

摘要： paper proposes a new objective method for identifying | shape of the objective warm front correspond well with | method. Meanwhile, the high agreement between objective | Warm fronts often trigger significant weather | changes, which also play a role in many extreme weather

关键词： Eurasia | objective identification | warm fronts

摘要：Effective identification of dynamic loads on | has been proposed for dynamic load identification to | sensor placement on the identification results. The | MOHBA (Multi-objective Optimisation Honey Badger | identification results can still be achieved when the noise

关键词： Inverse problem | impact load identification | scale carbody | MOHBA | spare regularisation | TwIST

摘要： to forma multi-objective community development | -objective Congress on Evolutionary Computation 2020 and | -objective optimization problems. For engineering practice | the single objective algorithm. During the encoding | . Most importantly, the identification accuracy of

关键词： Multi-objective optimization | Multimodal | Community development algorithm | Control model identification | Supercritical units

摘要： identification based on the multi-objective genetic algorithm | , a parameter identification method that can | Aiming at the finite element modeling problem | on the dynamic characteristics of multi-layer | elastic diaphragm bolted joints, and adopting the

关键词： subarea thin-layer element | diaphragm coupling | dynamic characteristics | parameter identification | multi-objective genetic algorithm

摘要： and thus, more objective identification approach. An | approach for objective identification of unknown deceased | The identification of deceased with unknown | . Current radiologic identification approaches are often | sternal bone and T5 vertebra for identification, the

关键词： Forensic Identification | Computational Radiologic Identification | Sternal bone | Vertebrae | Postmortem CT | 3D Registration

摘要：) algorithm. On this basis, a strata identification model | identification accuracy of 92.5%, achieving accurate | identification of the strata. Subsequently, a prediction model | Abstract The intelligent decision-making of | tunnel boring machine (TBM) tunneling parameters is of

关键词： TBM | Surrounding rock classification | Strata identification | Multi-objective optimization | Deep clustering

4008-161-200 800-990-8900

国家科技图书文献中心

摘要：Accurate parameter identification* is crucial* | parameter identification* method for LiFePO4 batteries. By* | for constructing high-fidelity battery digital twins | . Existing methods often struggle with overfitting | , measurement errors, and the neglect of hysteresis effects

摘要： manoeuvring motion, a multi-objective* optimal input design* | -objective* optimization problem (MOP), where both of D* | -objective* functions to improve the accuracy and robustness* | -box identification* of the MMG model.* | Grey-box modelling has been widely used to

摘要： original approach dedicated to the identification* of high* | -objective* optimization framework guided by Pareto* | specific radius value can be processed as an objective | function (to be minimized). The overall multi-objective | define an accurately process of pattern identification

摘要： paper proposes a new objective* method for identifying* | shape of the objective* warm front correspond well with* | method. Meanwhile, the high agreement between objective | Warm fronts often trigger significant weather | changes, which also play a role in many extreme weather

摘要：Effective identification* of dynamic loads on* | has been proposed for dynamic load identification* to* | sensor placement on the identification* results. The* | MOHBA (Multi-objective* Optimisation Honey Badger* | identification results can still be achieved when the noise

摘要： to forma multi-objective* community development* | -objective* Congress on Evolutionary Computation 2020 and* | -objective* optimization problems. For engineering practice* | the single objective* algorithm. During the encoding* | . Most importantly, the identification* accuracy of*

摘要： identification based on the multi-objective genetic algorithm | , a parameter identification* method that can* | Aiming at the finite element modeling problem | on the dynamic characteristics of multi-layer | elastic diaphragm bolted joints, and adopting the

摘要： and thus, more objective* identification approach. An* | approach for objective* identification of unknown deceased* | The identification* of deceased with unknown* | . Current radiologic identification* approaches are often* | sternal bone and T5 vertebra for identification, the

摘要：) algorithm. On this basis, a strata identification* model* | identification accuracy of 92.5%, achieving accurate | identification of the strata. Subsequently, a prediction model | Abstract The intelligent decision-making of | tunnel boring machine (TBM) tunneling parameters is of