Results 161 to 170 of about 33,606 (255)

Artificial Intelligence Revolution: The Need for a Regulatory and Governance Framework in Dentistry

Journal of Dental Education, EarlyView.
Ehsan Jozaghi
wiley   +1 more source

Stop Using Limiting Stimuli as a Measure of Sensitivities of Energetic Materials

Propellants, Explosives, Pyrotechnics, EarlyView.
ABSTRACT Accurately estimating the sensitivity of explosive materials is a potentially life‐saving task that requires standardised protocols across nations. One of the most widely applied procedures worldwide is the so‐called ‘1‐In‐6’ test from the United Nations (UN) Manual of Tests in Criteria, which estimates a ‘limiting stimulus’ for a material. In
Dennis Christensen, Geir Petter Novik
wiley   +1 more source

Intrusion Detection in the Internet of Things: A Comprehensive Review of Techniques, Architectures, Datasets, and Emerging Trends. [PDF]

Sensors (Basel)
Komal A, Li S.
europepmc   +1 more source

Is feature selection secure against training data poisoning?

, 2015
Learning in adversarial settings is becoming an important task for application domains where attackers may inject malicious data into the training set to subvert normal operation of data-driven technologies.
Eckert, Claudia, Brown, Gavin, FUMERA, GIORGIO, ROLI, FABIO, Xiao, Huang, BIGGIO, BATTISTA   +5 more
core  

Statistical post‐processing of operational dual‐resolution wind‐speed ensemble forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The performance of raw and post‐processed 50‐member medium‐ and 100‐member extended‐range 10‐m wind‐speed forecasts of the European Centre for Medium‐Range Weather Forecasts and their various dual‐resolution combinations is investigated. Results show that post‐processing improves skill and reduces the differences between the various configurations ...
Sándor Baran, Mária Lakatos
wiley   +1 more source

Transfer learning for T-cell response prediction. [PDF]

BMC Bioinformatics
Stadelmaier J, Malone B, Eggeling R.
europepmc   +1 more source

Deep Reinforcement Learning‐Based Control for Real‐Time Hybrid Simulation of Civil Structures

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Real‐time Hybrid Simulation (RTHS) is a cyber‐physical technique that studies the dynamic behavior of a system by combining physical and numerical components that are coupled through a boundary condition enforcer. In structural engineering, the numerical components are subjected to environmental loads that become dynamic displacements of the ...
Andrés Felipe Niño, Alejandro Palacio‐Betancur, Piedad Miranda‐Chiquito, Juan David Amaya, Christian E. Silva, Mariantonieta Gutierrez Soto, Luis Felipe Giraldo   +6 more
wiley   +1 more source

On the generalization limits of quantum generative adversarial networks with pure state generators. [PDF]

Sci Rep
Frkatovic J, Malemath A, Kankeu I, Werner Y, Tschöpe M, Rey VF, Suh S, Lukowicz P, Palaiodimopoulos N, Kiefer-Emmanouilidis M.   +9 more
europepmc   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

Privacy-preserving multimodal federated learning pipeline for cyber-resilient healthcare systems. [PDF]

PLoS One
Tanvir MIM, Rabby HR, Arif MH, Nadia NY, Nur K.   +4 more
europepmc   +1 more source