Hepatitis C is considered a deadly disease as mortality rate in the patients suffering from this
disease is very high, if not properly treated. This research proposes an IOMT based …

This research contributes an intelligent cloud-based software defect prediction system using
data and decision-level machine learning fusion techniques. The proposed system detects …

Software defect prediction is a crucial area of study focused on enhancing software quality
and cutting down on software upkeep expenses. Cross Project Defect Prediction (CPDP) is …

The software engineering field has long focused on creating highquality software despite
limited resources. Detecting defects before the testing stage of software development can …

In digital subtraction angiography (digital subtraction total cerebral angiography), cardiac
and macrovascular cardiography, anorectal radiology, fluoroscopy, and computed …

The scaling of oil pipelines over time leads to issues including diminished flow rates, wasted
energy, and decreased efficiency. To take appropriate action promptly and avoid the …

The cost of software testing could be reduced if faulty entities were identified prior to the
testing phase, which is possible with software fault prediction (SFP). In most SFP models …

Dementia is a condition in which cognitive ability deteriorates beyond what can be
anticipated with natural ageing. Characteristically it is recurring and deteriorates gradually …

Effective software defect prediction is a crucial aspect of software quality assurance,
enabling the identification of defective modules before the testing phase. This study aims to …

With the progress of advanced technology in the industrial revolution encompassing the
Internet of Things (IoT) and cloud computing, cyberattacks have been increasing rapidly on …