- Text and Document Classification Technologies
- Geochemistry and Geologic Mapping
- Numerical methods for differential equations
- Advanced Image and Video Retrieval Techniques
- Geological and Geochemical Analysis
- Geochemistry and Geochronology of Asian Mineral Deposits
- Advancements in Battery Materials
- Natural Language Processing Techniques
- Advanced Vision and Imaging
- Human Motion and Animation
- Domain Adaptation and Few-Shot Learning
- Algebraic structures and combinatorial models
- Cooperative Communication and Network Coding
- Advanced Battery Materials and Technologies
- Advanced Wireless Communication Techniques
- MXene and MAX Phase Materials
- Advanced Numerical Methods in Computational Mathematics
- Vehicular Ad Hoc Networks (VANETs)
- Advanced Combinatorial Mathematics
- Speech Recognition and Synthesis
- Emotion and Mood Recognition
- Image Enhancement Techniques
- Climate change and permafrost
- Marine Sponges and Natural Products
- Ideological and Political Education
Xi'an Technological University
2022-2025
Beijing University of Posts and Telecommunications
2023-2025
Xiamen University
2024
Jilin University of Finance and Economics
2024
Changchun University
2024
Xi'an Shiyou University
2023
Xiamen University of Technology
2022-2023
Yunnan University
2023
Tianjin Normal University
2023
Changchun Institute of Technology
2022
Abstract Herein we report a structure‐unit‐based asymmetric total synthesis of sinulochmodin C, norcembranoid diterpenoid bearing transannular strained ether bridge β‐keto tetrahydrofuran moiety. Our synthetic route features an intramolecular double Michael addition to construct stereospecifically the [7,6,5,5] tetracyclic skeleton, vinylogous hydroxylation/oxidation procedure or stereospecific epoxide opening/oxidation sequence establish γ‐keto enone intermediate, Lewis acid/Brønsted acid...
Lithium-sulfur batteries have garnered significant interest as potential energy storage systems for the future, owing to their remarkable theoretical specific capacity (1675 mA h g
In-betweening is a technique for generating transitions given start and target character states. The majority of existing works require multiple (often <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\geq$</tex-math></inline-formula> 10) frames as input, which are not always available. In addition, they produce results that lack diversity, may fulfill artists' requirements. Addressing these gaps, our work...
In-betweening is a technique for generating transitions given initial and target character states. The majority of existing works require multiple (often $>$10) frames as input, which are not always accessible. Our work deals with focused yet challenging problem: to generate the transition when exactly two (only first last). To cope this scenario, we implement our bi-directional scheme generates forward backward from start end adversarial autoregressive networks, stitches them in middle...
Abstract. The inhomogeneous sky background presents a great challenge for accurate cloud recognition from the total images. A channel operation was introduced in this study to produce new composite which difference of atmospheric scattering has been removed and homogeneous can be obtained. Following this, detection algorithm proposed, combined merits differencing threshold methods named "differencing combination (DTCA)". Firstly, applied transform 3-D RGB images channel, then circumsolar...
Writing is one of the five major English language skills according to new curriculum standards, and writing also reflects core competence students in English. ability a basic skill that should master process learning. However, teaching most difficult neglected parts teaching. The current model generally teacher-centered, focusing on results neglecting process. This method often time-consuming, has little effect. Cooperative learning student-centered, values students, encourages help each...
With the rapid development of machine learning, cloud computing and big data technology, translation accuracy fluency computer-aided English system can be greatly improved again. Based on above reasons, this paper discusses research an assisted by learning aggregation algorithm. By placing storage resources in cloud, process massive language more efficiently realize real-time update optimization. At same time, algorithm also help to better cope with diversity complexity data, so as improve...
Mapping or quantitative inversion through remote sensing technology is an active way for mineral monitoring in large uncultivated forest areas. Different spectral features of minerals, induced by ionic composition, can be identified which are related to type abundance. Based on the distinctive absorption around 2.33µm carbonate ion, we use it as analytic target propose improved continuum removal (ICR) algorithm couple with normalized abundance evaluate relationship between band depth (CRBD)...
Chinese HPHT diamonds have improved dramatically in recent years. However, this brings a challenge identifying type IIa colorless diamonds. In study, eleven and three natural, colorless, gem-quality were analyzed using magnified observation, Raman, PL chemical element analysis. The results show that only samples possessed kite-like inclusions lichenoid inclusions, as verified by their complex Raman spectra (100–750 cm−1). Through mapping, natural distinguished growth environments, which...
The author firstly builds the energy green scheduling model of cloud computing data center, then trains in deep neural network based on artificial intelligence technology, and finally designs a distributed management method from perspective cost minimization carbon emission minimization. According to design scheme, some key technologies are used compare implement relevant modules laboratory environment, security center can be controlled through an intuitive interface, thus ensuring center....
The safe operation of transmission lines is a necessary guarantee for the power grid. A RBF neural network based improved fuzzy C-mean algorithm proposed fault routing demand in small current grounding system. 10 kV system was constructed by using ATP/EMTP electromagnetic transient software. Cable lines, overhead and mixed cable are designed simulation. simulation simulates single-phase ungrounded neutral point grounded via arc extinguishing coil results analysis data MATLAB software show...
We present different regularizations and numerical methods for the nonlinear Schr\"odinger equation with singular nonlinearity (sNLSE) including regularized Lie-Trotter time-splitting (LTTS) Lawson-type exponential integrator (LTEI) methods. Due to blowup of nonlinearity, i.e., $f(\rho)=\rho^{\alpha}$ a fixed exponent $\alpha<0$ goes infinity when $\rho \to 0^+$ ($\rho = |\psi|^2$ represents density $\psi$ being complex-valued wave function or order parameter), there are significant...
The sensitivity information of objective and constraint functions is required in gradient-based optimization algorithms. Usually the more accurate gradients are estimated, faster convergence speed will be. Commonly used gradient estimation methods, e.g., finite differences, either have low estimate accuracy or require much computing budget. This paper presents a metamodel-based (MGE) method. In our numerical investigations, proposed MGE method achieves estimates than forward difference (FDM)...
<p>Supplementary Figures S1-S5.</p>