Background: Natural Language Processing (NLP) is widely used to extract clinical insights
from Electronic Health Records (EHRs). However, the lack of annotated data, automated tools…

This paper reviews critique of procurement approaches within the petroleum and natural gas
sectors, whilst concurrently unveiling and scrutinizing the elements that amplify and shape …

An automated Neurological Disorder detection system can be considered as a cost-effective
and resource efficient tool for medical and healthcare applications. In automated …

Wind is an important source of renewable energy, often used to provide clean electricity to
remote areas. For optimal extraction of this energy source, there is a need for an accurate and …

Australia has long been observed to experience the ENSO (El Niño Southern Oscillation) of
periodic alternation of flooding and drought. Australia has experienced consecutive years of …

This research aims to explore the multi-focus group method as an effective tool for systematically
eliciting business requirements for business information system (BIS) projects. During …

Background and Objective Obstructive airway diseases, including asthma and Chronic
Obstructive Pulmonary Disease (COPD), are two of the most common chronic respiratory health …

Purpose The applications of artificial intelligence (AI), natural language processing and
machine learning in e-commerce are growing. Recommender systems (RSs) are interaction-…

Adaptive modulation and coding schemes play a crucial role in ensuring robust data transfer
in wireless communications, especially when faced with changes or interference in the …

Procurement is a linchpin in organizational success, securing vital resources that enable top-tier
service and product delivery. In fiercely competitive arenas like the oil and gas industry, …