过去一年中添加的文章，按日期排序
[PDF][PDF] Wearable Technology and Machine Learning for Assessing Physical Fatigue in Industry 4.0
CA Morillo, M Demichela, D Jawla, JD Kelleher - 2024 - researchgate.net
4 天前 - … safety necessitates a proactive approach to managing operator physical fatigue. This
study uses wearable devices and health information … input for machine learning models to …
study uses wearable devices and health information … input for machine learning models to …
[引用][C] A Novel Optimized Classification approach for Spam Message Cyber Attack Detection and Prevention using Machine Learning Approach
S Mohanty, A Ambhakar - Fluctuation and Noise Letters, 2024 - World Scientific
4 天前 - … In this paper, we evaluate a number of different machine learning methods for the
detection of SMS (Short message service) spam (Paras Sethi et al., 2017). Bayesian filters are …
detection of SMS (Short message service) spam (Paras Sethi et al., 2017). Bayesian filters are …
[PDF][PDF] Cyber Situational Awareness of Critical Infrastructure Security Threats
F Movafagh, U Glässer - personales.upv.es
10 天前 - … to cyberattacks through various attack vectors, including networkbased and physical
process attacks [20]. … These methods, augmented by reinforcement learning, address the …
process attacks [20]. … These methods, augmented by reinforcement learning, address the …
Ransomware Early Detection using Machine Learning Approach and Pre-Encryption Boundary Identification
W Zanoramy, MF Abdollah, O Abdollah… - Journal of Advanced …, 2024 - semarakilmu.com.my
10 天前 - … a detection framework based on machine learning, a domain where regression …
model. We employ API call analysis as the foundation to assess various machine learning …
model. We employ API call analysis as the foundation to assess various machine learning …
Breaking things so you don't have to: risk assessment and failure prediction for cyber-physical AI
CB Dawson - 2024 - dspace.mit.edu
11 天前 - … few inputs and many outputs, but does not scale to typical machine learning
applications (where we often wish to differentiate with respect to thousands of model parameters). …
applications (where we often wish to differentiate with respect to thousands of model parameters). …
Federated Bayesian network approach for cross-regional air pollution classification: a case study of the Beijing–Tianjin–Hebei region
C Bian, G Huang - Environmental Monitoring and Assessment, 2024 - Springer
11 天前 - … Additionally, the FBN exhibited better operational efficiency and data confidentiality
than other machine learning models in handling large-scale and multisource environmental …
than other machine learning models in handling large-scale and multisource environmental …
Detection of Benign and Malicious DNS Traffic in ISP Network Using Machine Learning Algorithms
A Singh, S Gaur - … in Computational Intelligence and Cyber Security - taylorfrancis.com
12 天前 - … Internet is growing exponent, and it is a big challenge to all system and network
administrator to achieve the information security … network monitoring, classification and security …
administrator to achieve the information security … network monitoring, classification and security …
A Novel Machine Learning Approach for Detecting Cybersecurity Risks in Industries
S Lahoti - Advancing Sustainable Science and Technology for a …, 2024 - taylorfrancis.com
12 天前 - … network data from industrial operations are evaluated in this research using a
machine learning … -embedded Bayesian network (GO-FBN) to identify cyber security threats that …
machine learning … -embedded Bayesian network (GO-FBN) to identify cyber security threats that …
Artificial Intelligence Based Zero Trust Security Approach for Consumer Industry
SM Nagarajan, GG Devarajan… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
12 天前 - … cyber attacks if it is not appropriately secured. In this research work, we proposed
AI-enabled deep learning model based zero trust security (… using Deep CNN-BiLSTM network. …
AI-enabled deep learning model based zero trust security (… using Deep CNN-BiLSTM network. …
Prospects of neural SDEs for Bayesian smoothing
S Winqvist, I Wikman - 2024 - odr.chalmers.se
13 天前 - … the use of more complex models in real-time applications. As part of this work, it is
first shown that SDE models can be used as generative models for conditional distributions of …
first shown that SDE models can be used as generative models for conditional distributions of …