Results 171 to 180 of about 38,453 (306)
Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen +4 more
wiley +1 more source
ABSTRACT Viral vectors can be useful tools for expressing recombinant proteins as well as delivering gene‐editing machinery. Despite their utility, the development and subsequent optimisation of these tools is often a difficult and tedious process.
Matthew Neubauer +6 more
wiley +1 more source
Advances in cardiac devices and bioelectronics augmented with artificial intelligence
Abstract figure legend Interfaces between the human heart, diagnostic bioelectronics, artificial intelligence, and clinical care. From left to right: Human heart and biosensor interface; representative waveforms of common diagnostic bioelectronic sensing modalities.
Charles Stark +3 more
wiley +1 more source
An Overview of Deep Learning Techniques for Big Data IoT Applications
Reviews deep learning integration with cloud, fog, and edge computing in IoT architectures. Examines model suitability across IoT applications, key challenges, and emerging trends Provides a comparative analysis to guide future deep learning research in IoT environments.
Gagandeep Kaur +2 more
wiley +1 more source
SOC estimation is performed using a newly developed online HFF‐GRU method. Improves charge balancing among battery cells, leading to a substantial increase in the battery pack's lifespan. ABSTRACT Accurate estimation of state of charge (SoC) and maintaining balanced charge levels across secondary battery cells are crucial in battery management systems (
Md Ohirul Qays +4 more
wiley +1 more source
Research on Tool Wear Prediction Method Based on CNN-ResNet-CBAM-BiGRU. [PDF]
Sun B, Wang H, Zhang J, Zhang L, Wu X.
europepmc +1 more source
Forecasting Carbon Prices: A Literature Review
ABSTRACT Carbon emissions trading is utilized by a growing number of states as a significant tool for addressing greenhouse gas emissions (GHG), global warming problem and the climate crisis. Accurate forecasting of carbon prices is essential for effective policy design and investment strategies in climate change mitigation.
Konstantinos Bisiotis +2 more
wiley +1 more source
Multi-State Recognition of Electro-Hydraulic Servo Fatigue Testers via Spatiotemporal Fusion and Bidirectional Cross-Attention. [PDF]
Huang G, Bai S, Yang X, Gao X, Liu P.
europepmc +1 more source
Stock Portfolio Management Based on AI Technology
ABSTRACT Forecasting stock performance is crucial for formulating a profitable trading approach aimed at achieving significant gains. In addition, prediction results serve as essential prerequisites for creating and optimizing active investment portfolios.
Alejandro Moreno Alonso +1 more
wiley +1 more source
Data security storage and transmission framework for AI computing power platforms. [PDF]
Chen J +5 more
europepmc +1 more source

