Results 211 to 220 of about 41,575 (296)
ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das +2 more
wiley +1 more source
AI-driven adaptive vibration control in smart plate systems: a sustainable approach for next-generation sports engineering. [PDF]
Lin B, Wang J, Safarpour M, Yaylacı M.
europepmc +1 more source
We retrospectively enrolled breast cancer patients receiving neoadjuvant therapy from multiple centers. We analyzed digital whole‐slide images, extracted pathological features, and built integrated prediction models combining pathological features and text information.
Yani Wei +14 more
wiley +1 more source
Time Distributed Classification of Alzheimer's Disease on MRI Scans
Longitudinal MRI‐derived cortical thickness slopes improved AD/CN discrimination. A time‐distributed 3D ResNet‐101 + LSTM further captured spatiotemporal progression, reaching 96.7% accuracy and also improving MCI‐related classification. ABSTRACT The diagnosis of Alzheimer's disease (AD) has progressively depended on sophisticated neuroimaging methods ...
Mehmet Sait Dundar, Bulent Yilmaz
wiley +1 more source
GA‐ANN: An Efficient Hybrid Deep Learning Scheme for Network Intrusion Detection in IoT
ABSTRACT Intrusion detection systems (IDS) are critical to the security of the dynamic internet of things (IoT) environment. The integration of Artificial Intelligence (AI) into IDS has substantially improved network security. Particularly, deep learning techniques have shown strong potential in addressing IoT security challenges.
Naveed Ahmed +4 more
wiley +1 more source
ML assisted optimization of DR based MIMO antenna for 5G communication systems. [PDF]
Sumit +5 more
europepmc +1 more source
Abstract The incorporation of appropriate dynamic constraints in data assimilation (DA) is highly important for improving the forecasting of disastrous weather. It is often challenging to describe subgrid physical processes with strong nonlinearity and discontinuity in dynamic constraints because of difficulties in tangent linear and adjoint ...
Xin Li +6 more
wiley +1 more source
An interpretable deep learning framework for predictive modeling of postoperative infections in ICU patients. [PDF]
Wu X +5 more
europepmc +1 more source

