Howard, D. et al. Evolving embodied intelligence from materials to machines. Nat. Mach. Intell. 1, 12–19 (2019).
Intelligence, P. et al. π0.5: a vision-language-action model with open-world…
Category: 7. Maths
-
Advancing Earth observation with a multi-modal remote sensing foundation model
Using optical, infrared and radar signals that come from diverse satellite platforms, remote sensing provides comprehensive observation of the Earth with different temporal, spatial and spectral resolutions. However, the complexity and…
Continue Reading
-
DGS-Yolov7-Tiny: a lightweight pest and disease target detection model suitable for edge computing environments
A description of the experimental development environment and tools is shown in Table 1.
Table 1 Development environment and tools experiment parameter configuration. Dataset and experimental setup
The dataset used in this study is the Tomato Leaf…
Continue Reading
-
A graph attention network-based multi-agent reinforcement learning framework for robust detection of smart contract vulnerabilities
In this section, we conduct extensive experiments to evaluate the performance of our Graph Attention Network-Based Multi-Agent Reinforcement Learning approach for robust smart contract vulnerability detection (GANs-MARL). Our simulation aims to…
Continue Reading
-
Revealing the complex dynamics of monkeypox epidemics in heterogeneous networks by the evolutionary game theory
We have described in the previous section our mpox epidemic model \(({S}_{k}^{h}{V}_{k}^{h}{E}_{k}^{h}{I}_{k}^{h}{T}_{k}^{h}{R}_{k}^{h}{S}_{k}^{r}{E}_{k}^{r}{I}_{k}^{r})\) with heterogeneous networks to study the intricate dynamics of mpox…
Continue Reading
-
Diverse behavior clustering of students on campus with macroscopic attention
Dataset introduction
During the experiment, the dataset used is the various campus behavior data collected from a university as introduced in 3.1, including information of over 1,000 students, 140 million website access records, 4.065 billion…
Continue Reading
-
Network intrusion detection based on improved KNN algorithm
Aiming at the disadvantage of the low accuracy of traditional KNN algorithms and the problem of long prediction time in massive data, a 3BD-based incremental KNN is proposed. Adding new samples through the 3BD boundary domain has an impact on the…
Continue Reading
-
3D vector field-guided toolpathing for 3D bioprinting
DTMRI scan acquisition
DTMRI scans were performed on fixed, ex vivo human heart specimens as described previously by Eggen43. The study protocol was reviewed and approved by the Human Subjects Committee of the Institutional Review Board at the…
Continue Reading
-
Large language model driven transferable key information extraction mechanism for nonstandardized tables
This chapter introduces the LLM-TKIE mechanism, an end-to-end pipeline designed to address the challenges of KIE from non-standardized tables. The mechanism consists of three core stages: Text Detection, which identifies and localizes text…
Continue Reading
-
Development of a deep learning algorithm for radiographic detection of syndesmotic instability in ankle fractures with intraoperative validation
Dataset
Over the last 5 years (2019–2024) 5412 consecutive patients sustaining ankle fractures could be identified in the clinical information system of our university hospital (Level I trauma center).
Given the retrospective, exploratory design…
Continue Reading