Electrocardiogram (ECG) is one among the most common detecting techniques in the
analysis and detection of cardiac arrhythmia adopted due to its cost efficiency and simplicity …

In this paper, a multi-strategy fusion (MSF) framework, based on improved MBLBP and bi-
exponential edge-preserving smoother (BEEPS), is proposed for hyperspectral image (HSI) …

The customized recommendation framework for music should accurately represent private
tastes. To obtain tailored feedback for the needs of various viewers, it takes adjustments. To …

Convolutional neural network (CNN) has shown superior classification results for
hyperspectral image classification. Due to high dimensionality of the hyperspectral image …

In this paper, we propose a pioneering approach for blind Hyperspectral Image (HSI)
unmixing named Multi-Features Graph Deep Fusion Learning Networks for HSI Unmixing …

Remote sensing techniques are capable of mapping soil nutrient concentrations and
preparing soil maps for long-term agricultural productivity and food security. Recently …

The excellent capabilities of Transformers and Graph Neural Networks (GNNs) in modelling
long-range dependencies and handling irregular data have led to their widespread …

To classify and recognize the sounds which are produced by the birds which are used for
the identification of species of the bird. The identification of bird species in captured audio …

In this paper an effective energy the executives framework for a small-scale crossbreed wind-
sun-oriented battery-based miniature matrix is proposed. Change frameworks for the breeze …

Organ division is an essential for PC helped determination (CAD), quantitative imaging
investigation, pathology location, and careful help. For organs with high anatomical …