Prediction of Nitrogen Injection Displacement Efficiency for High-Efficiency Methane Emission Reduction in Coal Mines: A TCN-BiGRU-MHA Hybrid Model. [PDF]
Yang X +5 more
europepmc +1 more source
Ensuring Battery Safety in Electric Vehicles: Challenges, Developments, and Future Perspectives
This review explores machine learning techniques to predict and mitigate thermal runaway in lithium‐ion batteries. By analyzing failure mechanisms and safety issues, the study develops data‐driven models for early detection. It proposes safety enhancement strategies for battery design and maintenance, offering actionable insights to prevent ...
Oumayma ELJarray +7 more
wiley +1 more source
Using a dynamic arithmetic optimization approach to improve ridgelet neural network performance in remote sensing scene classification. [PDF]
Zhang H, Chen J, Xie H, Bagi K.
europepmc +1 more source
Organic Transistor‐Based Neuromorphic Electronics and Their Recent Applications
This review highlights recent progress in organic neuromorphic electronics, showing how organic semiconductors enable synaptic and neuronal functions with low power, mechanical flexibility, and biocompatibility. By bridging materials, devices, and systems, organic platforms are accelerating brain‐inspired computing toward applications in artificial ...
Ziru Wang, Feng Yan
wiley +1 more source
Predicting intracranial pressure monitor placement in children with traumatic brain injury: a prospective cohort study to develop a clinical decision support tool. [PDF]
Russell S +13 more
europepmc +1 more source
Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks
ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi +2 more
wiley +1 more source
Predicting the frequency of positive laboratory submissions for porcine reproductive and respiratory syndrome in Ontario, Canada, using autoregressive integrated moving average, exponential smoothing, random forest, and recurrent neural network. [PDF]
Petukhova T +7 more
europepmc +1 more source
Identification of Missing Knowledge in MBSE System Models Using Graph‐Based Machine Learning
ABSTRACT The design and development of complex aerospace systems pose significant challenges due to their growing complexity. Iterative design processes, guided by formal specifications, strive to refine initially vague characteristics through multiple stages.
Esma Karagoz +2 more
wiley +1 more source
Interpretable machine learning models for beta thalassemia prediction: an explainable AI approach for smart healthcare 5.0. [PDF]
Abbas M +5 more
europepmc +1 more source
Exploring the use of dalfampridine (4‐aminopyridine) for treatment of ataxia in cerebellar stroke
PM&R, EarlyView.
Arjun Kotwal +4 more
wiley +1 more source

