Then, we design our architecture as follows: the trunk network consists of 6 hidden layers of 100 units each with a sinusoidal nonlinearity; the branch encoder, decoder and reduced network are endowed with 4 hidden layers of 50 neurons each; the ELU activation function is used. Training ...
We design DL anomaly-based techniques trained on either sensor or network data.We evaluate techniques on different data sources collected from a real-world... R Canonico,G Esposito,A Navarro,... - 《Computer Communications》 被引量: 0发表: 2025年 AIDS-Based Cyber Threat Detection Framework for...
D Peaucelle,D Arzelier - IEEE International Conference on IEEE International Symposium on IEEE Conference on Computer Aided Control System Design 被引量: 39发表: 2006年 Multimodal Hidden Markov Model-Based Approach for Tool Wear Monitoring In this paper, a novel multimodal hidden Markov model (HMM...
After the introduction of DH scheme, the concept of DL-based public-key cryptography has also been used to design other public-key cryptographic systems, such as ElGamal [2] and DSS [3]. When users use such DL-based cryptographic systems, they have to choose a private-key X < P and co...
(2019) Towards federated learning at scale: System designhttp://arxiv.org/abs/1902.01046 Schelter S (2020) Amnesia-a selection of machine learning models that can forget user data very fast. Suicide 8364(44035):46992 Google Scholar Zhan Y, Li P, Qu Z, Zeng D, and Guo S (2020) A ...
A flexible MIMO scheme design could impact the performance of systems with hardware limitations. This paper presents a deep learning (DL)-based signal detection strategy for MIMO communication systems. More specifically, a preprocessing stage is added to label the input signals conveniently, improving ...
Two major challenges in the algorithm design are environmental changes, e.g., moving persons, that are not due to an attack and evaluating the trade-off between detection performance and complexity. Our experimental results from two different environments, comprising an office and a hall, show ...
语义Web中描述逻辑和本体论日益受到关注,成为学术界的一个研究热点.首先给出了与OWL DL等价的描述逻辑 SHOIN(D) 的语法和语义,以及OWL DL本体知识库各模型元素的描述形式.然后介绍了OWL-API,Pellet-API,Jena-API推理机的工作原理和推理编程的核心技术,提出一种基于Pellet和Jena的叠加推理机框架.最后开发了一个OWL...
This design allows the model to assimilate information from both past and future sequences, proving superior in tasks like RUL prediction compared to traditional LSTM networks [45]. Furthermore, self-attention mechanisms are also used to assist the Bi-LSTM in identifying significant input segments,...
We design a dynamic label generation algorithm based on the statistical distribution of the real transaction data to ensure the concealment of the dynamic labels. We prove that DLchain has the features of undetectability, anti-traceability and strong robustness....