Machine learning methods for optical communications
, 2020 Radio over Fiber (RoF) technology has been realized in different forms ranging from analog to more complex forms [1-6]. The enhancement of capacity and wireless coverage has posed significant challenges to the existing optical and wireless access ...
Machine learning methods for optical communications
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ml-Codesmell: A code smell prediction dataset for machine learning approaches.
, 2022 The ml-Codesmell dataset was created by analyzing source code and extracting massive source code metrics with many labelled code smells. This dataset has been used to train and predict code smell using machine learning algorithms.
Binh Nguyen Thanh (13965230) +3 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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Everything has its Price: Foundations of Cost-Sensitive Learning and its Application in Psychology
, 2021 Psychology has seen an increase in machine learning (ML) methods. In many applications, observations are classified into one of two groups (binary classification).
Philipp Sterner +2 more
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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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Galaxy-ML: An accessible, reproducible, and scalable machine learning toolkit for biomedicine.
PLoS Computational Biology, 2021 Supervised machine learning is an essential but difficult to use approach in biomedical data analysis. The Galaxy-ML toolkit (https://galaxyproject.org/community/machine-learning/) makes supervised machine learning more accessible to biomedical ...
Qiang Gu +7 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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AN ADVANCED MACHINE LEARNING (ML) ARCHITECTURE FOR HEART DISEASE DETECTION, PREDICTION AND CLASSIFICATION USING MACHINE LEARNING [PDF]
Journal of Mechanics of Continua and Mathematical SciencesCardiovascular diseases (CD) are the common cause of death worldwide over in developed as well as underdeveloped and developing countries. Early detection and continuous supervision can reduce the mortality rate.
Muhammad Anas +6 more
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