Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...
Abstract: Forest tree species classification has great significance for sustainable development of forest resource. Multisource remote sensing data provide abundant temporal, spatial, and spectral ...
Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, and public reviews. In this manuscript, Taujale et al describe an interdisciplinary ...
It's amazing how much of an impact getting rid of clutter can have. According to Utah State University, decluttering your home can help reduce anxiety, sharpen focus, and elevate your mood. There are ...
Abstract: Urban tree species identification is crucial for forest management and ecosystem assessment. Mobile laser scanning (MLS) provides significant advantages for this task through its flexibility ...
ABSTRACT: Breast cancer remains one of the most prevalent diseases that affect women worldwide. Making an early and accurate diagnosis is essential for effective treatment. Machine learning (ML) ...
Introduction: Ovarian Cancer (OC) is one of the leading causes of cancer deaths among women. Despite recent advances in the medical field, such as surgery, chemotherapy, and radiotherapy interventions ...
Introduction: The study aims to assess and compare the predictive effectiveness of football-related injuries using external load data and a decision tree classification algorithm by unidimensional ...
ABSTRACT: Compliance audits play a crucial role in ensuring organizations adhere to regulatory requirements and internal policies. Accurate predictions of compliance audit outcomes can help ...
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