Results 211 to 220 of about 22,784,147 (354)

'Nauki sᶏdowe a system kontradyktoryjny w okresie neoliberalnego eksperymentowania i oszczędności’ (‘Forensic Science in an Adversarial System during a Period of Neo-Liberal Experimentation and Fiscal Austerity') [PDF]

, 2015
Tim Wilson
openalex  

Comparative Study on Noise-Augmented Training and its Effect on Adversarial Robustness in ASR Systems [PDF]

Karla Pizzi, Matías P. Pizarro B., Asja Fischer   +2 more
openalex   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

Energy-Efficient and Adversarially Resilient Underwater Object Detection via Adaptive Vision Transformers. [PDF]

Sensors (Basel)
Li L, Zhang G, Zhou Y.
europepmc   +1 more source

ENHANCING VERIFICATION ROBUSTNESS IN IDENTITY AUTHENTICATION SYSTEMS - SYNTHETIC IDENTITY FRAUD AND ADVERSARIAL ARTIFICIAL INTELLIGENCE

openalex   +1 more source

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

Journal of Forecasting, EarlyView.
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley   +1 more source

FortiNIDS: Defending Smart City IoT Infrastructures Against Transferable Adversarial Poisoning in Machine Learning-Based Intrusion Detection Systems. [PDF]

Sensors (Basel)
Alajaji A.
europepmc   +1 more source

A Deep Neural Network Based on Two‐Stage Training for Estimating Heart Rate Variability From Camera Videos

Health Care Science, EarlyView.
Heart Rate Variability Estimation from Camera Videos ABSTRACT Background Studies have shown that heart rate variability (HRV) is a predictor of the prognosis of cardiovascular diseases. Contact heartbeat monitoring equipment is widely used, especially in hospitals, and benefits from the rapidity and accuracy of the detection of physiological health ...
Lan Lan, Jin Yin, Haohan Zhang, Hua Jiang, Rui Qin, Xia Zhao, Yu Zhang, Yilong Wang, Jiajun Qiu   +8 more
wiley   +1 more source

OntoSecAI: Ontology-driven security automation for AI-enabled systems. [PDF]

PLoS One
Ullah U, Haleem M, Ullah A.
europepmc   +1 more source

Searching Realistic-Looking Adversarial Objects For Autonomous Driving Systems [PDF]

Shengxiang Sun, Shenzhe Zhu
openalex   +1 more source