3 天前 - … However, since the concept of link strength is hard to interpret in practice, a
novel approach is introduced to determine these inversely by applying parameter learning of …

3 天前 - … 6 interesting papers covering a wide range of topics including post-quantum
cryptography (PQC), machine learning, security, design and verification, and sensor systems. …

3 天前 - … The thesis develops a deep learning-based localization … The study also compares
the deep learning model with … Overall, our thesis demonstrates that leveraging deep learning …

3 天前 - … This paper proposes a novel ensemble deep learning … included in our deep learning
model. Experiments demonstrate … The results can be fed into the terminal operating system …

3 天前 - … By integrating deep learning techniques with sentiment analysis and natural
language processing, this approach offers a comprehensive system capable of understanding …

3 天前 - … Instead of learning on the full system … the learning process to be stopped if desired.
In doing so, we still take advantage of already learned behavior by applying transfer learning …

3 天前 - … The experiments were conducted on a Windows 10 Pro operating system running
on an Intel Core i7 vPro 7th Generation processor, with 8.00 GB RAM, 1 TB hard disk, and a …

3 天前 - … A relatively simple neural network can improve the response speed of the whole
system. It also has a good effect. Secondly, it is proposed to use deep learning models based …

3 天前 - In recent years, the operation of the electric power grid has become more efficient
and resilient due to the integration of renewable energy sources (RESs). Solar and wind …

3 天前 - … adaptive neuro fuzzy inference system, from machine learning and logistic regression,
… It was found that machine learning techniques are producing better results compared to …