The prevalence and burden of mental health disorders are on the rise in conflict zones, and
if left untreated, they can lead to considerable lifetime disability. Following the repeal of …

In real world scenario, large number of features represents a data, but all these features are
not useful. In this paper, hybrid algorithm comprising of modified genetic algorithm (GA) for …

The adoption of artificial intelligence in human resource management may help businesses
and create a keen advantage in the market. With the help of artificial intelligence, most …

The use of a convolutional neural network with transfer learning is a strategy that defines
high-level features, commonly explored to study patterns in medical images. These features …

Solar irradiation data are imperatively required for any solar energy-based project. The non-
accessibility and uncertainty of these data can greatly affect the implementation …

The pre-harvest estimation of seed composition from standing crops is imperative for field
management practices and plant phenotyping. This paper presents for the first time the …

Machine learning (ML) has been widely used worldwide to develop crop yield forecasting
models. However, it is still challenging to identify the most critical features from a dataset …

This article presents the methodology of creation of an innovative used by intelligent
chatbots which support the admission process in universities. The lifecycle of the ontology …

Water's unique thermophysical properties and how it mediates aqueous interactions
between solutes have long been interpreted in terms of its collective molecular structure …

The most prevalent cancer amongst women is woman breast cancer. Ultrasound imaging is
a widely employed method for identifying and diagnosing breast abnormalities. Computer …