Neural networks have proven to be a highly effective tool for solving complex problems in
many areas of life. Recently, their importance and practical usability have further been …

Sustainable natural resources management relies on effective and timely assessment of
conservation and land management practices. Using satellite imagery for Earth observation …

According to the World Health Organization, cancer is the second leading cause of mortality.
Breast cancer is the most prevalent cancer diagnosed in women around the world. Breast …

Bacteria are known to interpret a range of external molecular signals that are crucial for
sensing environmental conditions and adapting their behaviors accordingly. These external …

Object detection is a computer vision task of detecting instances of objects of a certain class,
identifying types of objects, determining its location, and accurately labelling them in an …

For decades, cardiovascular diseases have been the leading cause of death. According to
the most recent WHO data, coronary heart disease deaths in Egypt accounted for 29.38 …

Convolutional Neural Networks (ConvNets or CNNs) have been candidly deployed in the
scope of computer vision and related fields. Nevertheless, the dynamics of training of these …

Activation functions are crucial parts of artificial neural networks. From the first perceptron
created artificially up to today, many functions are proposed. Some of them are currently in …

The activation function has a critical influence on whether a convolutional neural network in
deep learning can converge or not; a proper activation function not only makes the …

Many machine translation studies have used large parallel groups to address sets of major
European dialects. However, due to the lack of sufficient parallel information, few studies …