过去一年中添加的文章,按日期排序

[HTML][HTML] A novel hybrid model for bridge dynamic early warning using LSTM-EM-GMM

S Li, J Xin, Y Jiang, C Yang, X Wang, B Ran - Advances in Bridge …, 2024 - Springer
89 天前 - … However, these methods face challenges in expressing uncertain factors (such
as wind load, temperature load, and other variables, etc.). These problems directly impact the …

Research progress in water quality prediction based on deep learning technology: a review

W Li, Y Zhao, Y Zhu, Z Dong, F Wang… - Environmental Science and …, 2024 - Springer
93 天前 - … -model predictions of water quality and hybrid-model … the challenges posed by
complex time series problems arising … By combining these deep learning methods, hybrid models

Deadline-aware cost and energy efficient offloading in mobile edge computing

M Kumar, A Kishor, PK Singh… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
94 天前 - model to handle offloading problems for vehicular edge computing. A classifier
model was used for all the available offloading options in … Considering this, we adopt a hybrid

New treatment paradigm for patients with Marfan or Loyes–Dietz syndrome

S Haulon, MH Guo, F Dominique - European Journal of Cardio …, 2024 - academic.oup.com
98 天前 - … medical) endograft, which was very challenging and could have been prevented
with a … The patient is then brought back to the hybrid room 6–8weeks later for a completion …

Solving the real-world data challenge: A hybrid resourcing model to curate RWD at scale

J Rudolph, KL Kehl, M Bernstein - Cancer Research, 2024 - AACR
98 天前 - … to leverage extensive expertise in the BPC data model, allowing for consistency
and scalability of the BPC program. In this hybrid model, research partners can curate RWD in …

Feathered Precision: AvianVision-A Hybrid CNN-Random Forest Approach for Accurate Classification of Sparrow Species

A Suryavanshi, V Kukreja, A Dogra… - 2024 11th …, 2024 - ieeexplore.ieee.org
100 天前 - … A challenging challenge that tests the limitations of human and machine vision is
the … Even among experts, identifying a bird's species from a photograph can be a challenge. …

[HTML][HTML] On Predictive planning and counterfactual learning in active inference

A Paul, T Isomura, A Razi - Entropy, 2024 - mdpi.com
101 天前 - … facilitate balanced decision-making. We evaluate our proposed model in a challenging
grid-… Our proposed hybrid model not only performs well in an environment that demands …

Sparse and Archetypal Decomposition Algorithms for Hyperspectral Image Restoration and Spectral Unmixing

A Zouaoui - 2024 - hal.science
102 天前 - … unmixing, two fundamental tasks prevalent in applications … coding model, specifically
tailored to overcome challenges … Subsequently, we will explore hybrid approaches and …

[引用][C] Simulation Learning and Optimization: Methodology and Applications

KH Chang, TL Chen - Asia-Pacific Journal of Operational Research, 2024 - World Scientific
105 天前 - … the cutting-edge applications of the proposed simulation learning and optimization
methodology, this paper introduces various application scenarios and the problems

[HTML][HTML] Estimation of cuttings concentration during drilling using experimental data-a hybrid computational intelligence modeling approach

D Chowdhury - 2024 - ntnuopen.ntnu.no
108 天前 - problems such as mechanical stuck pipe, premature bit wear, slow drilling progress,
… / ERD wells, difficulties during logging and cementing, and difficulties during casing landing…