15 papers · ranked by Valyu relevance
Nathan T Jacobs
Organisms are complex biological entities that are less easily defined by specific structures or sequences than molecules, nucleic acids, and antibodies. Nor are they necessarily fixed in time or reproducible by repeatable methods, given their capacity for replication and mutation. Like organisms themselves, names and…
Tarneem Elemam, Hosam Refaat, Mohamed Makhlouf
Coronary artery disease (CAD), where the heart does not get enough oxygen-rich blood due to a buildup of fatty matter, is a leading cause of death worldwide. Since its symptoms may not be recognized until a cardiac attack occurs, its early diagnosis is crucial. In this paper, we introduce the SHAP Optimized Wrapper…
Suman Biswas, Md. Mahamudul Islam, Nusrat Islam, Md. Abdur Rahim Mia + 1 more
Overweight/obesity has become a critical global health issue, as these conditions are strongly associated with elevated risk of diabetes, stroke, cardiovascular disorders, and certain types of cancer. In recent decades, Bangladesh has faced a notable rise in overweight/obesity prevalence-women are more prone to obesity…
Andrew Capalbo, Francis Letendre, Alexander Langner, Abigail Blackburn + 3 more
Highlights What are the main findings?1. Four CNN-based classification algorithms were successfully implemented for categorizing zooplankton with >95% accuracy using over 70k images. 2. Niched networks are a tractable, modular and efficient avenue for specific taxonomic or functional classification. What are the…
Emanuel Casmiry, Neema Mduma, Ramadhani Sinde
In the face of increasing cyberattacks, Structured Query Language (SQL) injection remains one of the most common and damaging types of web threats, accounting for over 20% of global cyberattack costs. However, due to its dynamic and variable nature, the current detection methods often suffer from high false positive…
Abdul Zahir Baratpur, Hamed Vahdat-Nejad, Emrah Arslan, Javad Hassannataj Joloudari + 1 more
Introduction Cardiovascular diseases, particularly Coronary Artery Disease (CAD), remain a leading cause of mortality worldwide. Invasive angiography, while accurate, is costly and risky. This study proposes a non-invasive, interpretable CAD prediction framework using the Z-Alizadeh Sani dataset. Methods A hybrid…
Mahdis Tourian, Remy Vandaele, Sareh Rowlands, Max Fancourt + 7 more
Accurate classification of terrestrial habitats is critical for biodiversity conservation, ecological monitoring, and land use planning. Several habitat classification schemes are in use, typically based on analysis of satellite imagery and validation by field ecologists. Here, a methodology is presented for…
Robert W. Pendergrass, Bhogendra Mishra
This study develops a new functional classification of metropolitan and micropolitan areas in the United States. The methodology used was based on the widely used locational quotient and the Coefficient of Specialization (also known as the Index of Divergence). Determining a specialty or which industrial category may…
Lauren Jackson, Polyvios Charalambous, James Darcey
Dens invaginatus is a developmental anomaly characterised by enamel and dentine infolding, resulting in highly variable internal anatomy that can complicate diagnosis, treatment planning and long-term prognosis. Traditional two-dimensional classifications such as Oehler's Classification do not fully reflect the…
Osvaldo Velazquez-Gonzalez, Antonio Alarcón-Paredes, Cornelio Yañez-Marquez
Classification is a central task in machine learning, underpinning applications in domains such as finance, medicine, engineering, information technology, and biology. However, machine learning pattern classification can become a complex or even inexplicable task for current robust models due to the complexity of…
Mohammadreza Namdar, Farnaz Barzinpour, Rassoul Noorossana, Mohammad Saidi-Mehrabad + 1 more
Software bug report classification is one of the most significant processes in software development for determining the nature and severity of faults based on their causes and effects. In many projects, software experts implement this process manually, which requires exorbitant time and effort. Although there are a few…
Natalia Olędrzyńska, Sławomir Nowak, Aleksandra M. Naczk, Marcin Górniak + 2 more
The genus Satyrium (Orchidaceae) is a large, mostly sub-Saharan genus with a single species reported from Madagascar and Asia. Taxonomical complexity and high morphological diversity make the classification within the genus difficult to handle. In this study, we attempted to solve this problem using a comprehensive…
Chetan Puri, K. T. V. Reddy, Pradnyawant M. Gote
Introduction Fetal health monitoring is critical for early identification of pregnancy-related risks. Manual interpretation of cardiotocography (CTG) signals is subjective and variable among healthcare professionals. Methods A machine learning-based framework was developed to classify fetal health into Normal, Suspect…
Rijul Gupta, Craig T. Jin, Dhanshree R. Gunjawate, Duy Duong Nguyen + 3 more
Objectives This review aims to identify the key barriers to clinical application of Machine Learning (ML) in multi-class voice disorder classification. Design Scoping Review. Methods A comprehensive scoping review of research published between 2013 and May 2025 in seven clinical and engineering databases was conducted.…
Stuart G. Siddell
Typification, the linkage of a name-bearing “type” to a taxon and the description and deposition of a corresponding type specimen, has been a principle of biological taxonomy for over two centuries. It was introduced to promote nomenclatural uniformity and stability. Until recently, a modified form of typification was…