Results 21 to 30 of about 168,829 (242)
Interactive Automation Of COVID-19 Classification Through X-Ray Images Using Machine Learning
JISR on Computing, 2020 Machine learning had given many benefits to the humankind by implementing technology on the daily human lives. To add, when the pandemic COVID19 hits Earth globally in early 2020, mankind is challenged with the sudden emergence of the virus that costed
Ashura binti Hasmadi +2 more
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ML-Plan: Automated machine learning via hierarchical planning [PDF]
Machine Learning, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mohr, Felix +2 more
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Hydro-power generation forecast in South Africa based on Machine Learning (ML) models
Scientific African, 2023 With the advancement of technology and the ever-growing need for electronics, electricity has become an indispensable aspect of modern life. Developing or underdeveloped nations must overcome a number of obstacles to balance the supply and demand for ...
Selaki Ivy Ramarope +2 more
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Seagrass classification using unsupervised curriculum learning (UCL)
Ecological InformaticsSeagrass ecosystems are pivotal in marine environments, serving as crucial habitats for diverse marine species and contributing significantly to carbon sequestration.
Nosheen Abid +7 more
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HeliyonGuar korma and churi protein isolates were assessed for their physicochemical, nutritional, functional, structural, and digestibility properties for their application in the food industry.
Bhavya Kotnala +2 more
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Identification of semen traces at a crime scene through Raman spectroscopy and machine learning
Scientific ReportsBiological fluid stains can be instrumental in solving crimes. Identification of semen can help reconstruct events in sexual assault cases and identify suspects via DNA profiling.
Alexey V. Borisov +5 more
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Diffusion models for 3D generation: A survey
Computational Visual MediaDenoising diffusion models have demonstrated tremendous success in modeling data distributions and synthesizing high-quality samples. In the 2D image domain, they have become the state-of-the-art and are capable of generating photo-realistic images with ...
Chen Wang +4 more
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Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
Molecular Oncology, EarlyView.This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
IEEE Access, 2023 AI and Machine Learning (ML) offer powerful tools to support clinical decision making in emergency situations such as the COVID-19 pandemic. In this context, the application of ML requires to design predictive systems that have adequate accuracy and can ...
Alfonso Emilio Gerevini +4 more
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Molecular Oncology, EarlyView.Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova +25 more
wiley +1 more source