Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...
Terahertz (THz) radiation, which occupies the frequency band between microwaves and infrared light, is essential in many next ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
Abstract: In this letter, we propose a hyperparameter optimization method for adaptive filtering based on deep unrolling, termed the deep unrolling affine projection (DAP) algorithm. The core idea is ...
ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
Machine learning on tabular data focuses on building models that learn patterns from structured datasets, typically composed of rows and columns similar to those found in spreadsheets. These datasets ...
Intrusion detection has been of prime concern in the Internet of Things (IoT) environment due to the rapid increase in cyber threats. Majority of traditional intrusion detection systems (IDSs) rely on ...
A progressive brain disease that affects memory and cognitive function is Alzheimer’s disease (AD). To put therapies in place that potentially slow the progression of AD, early diagnosis and detection ...
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