Third generation and future upgrades of current gravitational-wave detectors will present
exquisite sensitivities which will allow to detect a plethora of gravitational wave signals …

Accurately forecasting tourism demand requires learning the spatial–temporal features of
tourism demand, which is challenging due to constantly changing human behavior. This …

Brain dynamics associated with design creativity tasks are largely unexplored. Despite
significant strides, there is a limited understanding of the brain-behavior during design …

Guava is a fruit grown predominantly in the tropical and subtropical regions of the world. Its
skin is thin and soft. Although postharvest handling and transportation of fruits are …

Visual neural decoding, namely the ability to interpret external visual stimuli from patterns of
brain activity, is a challenging task in neuroscience research. Recent studies have focused …

As a classical machine learning model, support vector machine (SVM) has attracted much
attention due to its rigorous theoretical foundation and powerful discriminative performance …

Electroencephalography (EEG) is a non-intrusive method used to capture electrical potential
generated by brain neurons, which is crucial for diagnosing neurological disorders like …

The analysis of Parkinson's disease (PD) is an inspiring task that necessitates the analysis
of numerous motor and non-motor indications. During analysis, some abnormalities are …

The electroencephalogram (EEG) has recently emerged as a pivotal tool in brain imaging
analysis, playing a crucial role in accurately interpreting brain functions and states. To …

The randomization-based feedforward neural network has raised great interest in the
scientific community due to its simplicity, training speed, and accuracy comparable to …