过去一年中添加的文章，按日期排序
Secure CO2 Sequestration: A Deep Reinforcement Learning Perspective on Injection Rate Management
P Kor, E Riccardi, R Brumer Bratvold - SPE Europec featured at EAGE …, 2024 - onepetro.org
6 天前 - … and scalability of the framework, providing insights into its potential feasibility for
larger-scale CO 2 storage projects. By employing state-of-the-art artificial intelligence methods, …
larger-scale CO 2 storage projects. By employing state-of-the-art artificial intelligence methods, …
Artificial Intelligence-Enabled Vulnerability Analysis and Management for IT Infrastructure: A Computational Design Science Approach
S Ullman - 2024 - repository.arizona.edu
6 天前 - … unprecedented rate, scaling to tens of … approach.This dissertation comprises three
essays that adopt the computational design science paradigm to create novel deep learning-…
essays that adopt the computational design science paradigm to create novel deep learning-…
Two-timescale online coordinated schedule of active distribution network considering dynamic network reconfiguration via bi-level safe deep reinforcement learning
L Xue, J Wang, Y Qin, Y Zhang, Q Yang, Z Li - Electric Power Systems …, 2024 - Elsevier
7 天前 - … and training. Finally, the large-scale 116-nodes testing system verifies the scalability
of … For this reason, many scholars have studied safe deep reinforcement learning algorithm…
of … For this reason, many scholars have studied safe deep reinforcement learning algorithm…
[引用][C] Machine learning integration of imaging data with spatial multi-omics data to study heterogeneity in disease tissues
X Tan - 2024 - espace.library.uq.edu.au
7 天前 - … to overcome limitations in sensitivity and scalability and to draw relevant biological
… The analysis results are expected to be portable and scalable across a range of clinical …
… The analysis results are expected to be portable and scalable across a range of clinical …
Distributed transformer for high order epistasis detection in large-scale datasets
7 天前 - … methods for explainability, while being scalable to large datasets and portable to
various deep learning … other interpretation-based machine learning models up to eighth order …
various deep learning … other interpretation-based machine learning models up to eighth order …
Scalable and Autonomous Network Defense using Reinforcement Learning
RG Campbell, M Eirinaki, Y Park - IEEE Access, 2024 - ieeexplore.ieee.org
8 天前 - … and network size, we instead evaluate our method across threat scenarios with
varying network sizes. We propose a scalable approach that uses a new reward function and a …
varying network sizes. We propose a scalable approach that uses a new reward function and a …
[PDF][PDF] Energy-efficient Real-time DAG Task Scheduling on Multicore Platform by Deep Reinforcement Learning
9 天前 - … computing, Dynamic Voltage and Frequency Scaling (DVFS) is a popular … method.
This paper proposes a dynamic scheduling algorithm based on deep reinforcement learning. …
This paper proposes a dynamic scheduling algorithm based on deep reinforcement learning. …
Automation of the Error-Prone Pam-4 Sequence Discovery for the Purpose of High-Speed Serial Receiver Testing Using Reinforcement Learning Methods
10 天前 - … However, our experiments show that higher scalability leads … approaches discussed
in this work can be divided into classical approaches and Deep learning-based approaches…
in this work can be divided into classical approaches and Deep learning-based approaches…
On 6G-Enabled SDN-Based Mobile Network User Plane with DRL-Based Traffic Engineering
R Kołakowski, L Tomaszewski, S Kukliński - IFIP International Conference …, 2024 - Springer
10 天前 - … network is using Deep Reinforcement Learning (DRL) methods, which … approach
significantly improves the scalability of SDN and TE, centralised E2ENO might not be scalable …
significantly improves the scalability of SDN and TE, centralised E2ENO might not be scalable …
[HTML][HTML] Multi-agent reinforcement learning for privacy-aware distributed CNN in heterogeneous IoT surveillance systems
10 天前 - … to dependency and scalability problems. In this paper, we present an approach
that targets the … Next, to relax the optimization, we shape our approach as a cooperative and …
that targets the … Next, to relax the optimization, we shape our approach as a cooperative and …