Results 61 to 70 of about 1,903,478 (214)
Metamorphic testing is a widely used methodology that examines an expected relation between pairs of executions to automatically find bugs, such as correctness bugs. We found that code coverage cannot accurately measure the extent to which code is validated and mutation testing is computationally expensive for evaluating metamorphic testing methods. In
Jinsheng Ba +2 more
openaire +2 more sources
Contains RaMWAS formatted coverage (i.e., CpG score) files for each ...
Alexander W. Johnson (7849208) +23 more
core +1 more source
This dataset contains software to automatically generate high-coverage tests for SLAM algorithms by partitioning of the input space. It also contains some pre-generated test suites, experimental results comparing the performances of different generation ...
Philip Tasche (14492081) +1 more
core +1 more source
Determinants of influenza non-vaccination among Canadian children: insights from a nationwide survey
BackgroundTo identify determinants influencing Canadian parents’ decision not to vaccinate their children aged 6 months to 17 years against seasonal influenza.MethodsData from the 2022 Childhood COVID-19 Immunization Coverage Survey, a national survey of
Abdallah Alami +5 more
doaj +1 more source
Coverage of the infected wound
Fifty-four consecutive patients with chronic wounds were identified by the following criteria: (1) established infection for 6 months, (2) exposure of bone, mediastinum, or other vital structure, (3) mechanical and/or vascular limitations to delayed closure techniques, (4) no response to wound debridement in prolonged antibiotic therapy.
S J, Mathes, L J, Feng, T K, Hunt
openaire +3 more sources
Developing a Trauma System Improvement Program (TSIP) in Bangladesh: findings from a pilot study
Introduction The Trauma System Improvement Program (TSIP) plays a crucial role in improving trauma care outcomes. Despite its importance, the development and implementation of a hospital-based TSIP for road traffic injury (RTI) victims has received ...
Zarin Tasnim +9 more
doaj +1 more source
Optimizing Stacked Ensemble Machine Learning Models for Accurate Wildfire Severity Mapping
Wildfires are increasingly frequent and severe, posing substantial risks to ecosystems, communities, and infrastructure. Accurately mapping wildfire severity (WSM) using remote sensing and machine learning (ML) is critical for evaluating damages ...
Linh Nguyen Van, Giha Lee
doaj +1 more source
Introduction. The article presents the caves of Ust-Medveditsky St. Saviour convent in Volgograd region. The relevance of the research issue is in improving the recreational potential of the subject under study.
Vitaliy V. Stepkin
doaj +1 more source
Searching with a sensor for objects and observing parts of a known environment efficiently is a fundamental problem in many real-world robotic applications such as household robots searching for objects, inspection robots searching for leaking pipelines, and rescue robots searching for survivors after a disaster.
Dornhege, Christian +2 more
openaire +3 more sources
Investigating the Relationship Between Topographic Variables and Wildfire Burn Severity
Wildfire behavior and post-fire effects are strongly modulated by terrain, yet the relative influence of individual topographic factors on burn severity remains incompletely quantified at landscape scales.
Linh Nguyen Van, Giha Lee
doaj +1 more source

