Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 8 of 8 for “"Machine leaning"”.
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A novel approach by integrating physically and Machine leaning-based models for landslide susceptibility assessment
… of the hazard in a region. Physical and Machine Learning (ML) based models are common methods for evaluating landslide susceptibility. Physically-based models are appropriate at a local scale such as single slope, basin/ catchment and require site-specific geotechnical. Although reliable …
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Como a inteligência artificial pode ajudar na gestão de estoque industrial
… aplicada na unidade de analise desse estudo é Machine Leaning por meio das Redes Neurais Artificiais
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Silence is Golden? Evidence from Social Disclosure Gap
… Latent Dirichlet Allocation, an unsupervised machine leaning technique to compare the thematic content of news articles and company reports, comprising of 5 billion words to compute the social disclosure gap for a sample of 1801 US firms. I find that the social disclosure gap is negatively …
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An Integrated Bioinformatics Approach for the Identification of Melanoma-Associated Biomarker Genes. A Ranking and Stratification Approach as a New Meta-Analysis Methodology for the Detection of Robust Gene Biomarker Signatures of Cancers.
… data using wrapper feature selection with machine leaning, (2) assessing the number of common genes with the genes retrieved in independent testing data, (3) assessing the number of common genes with the genes retrieved in across multiple training datasets, (4) assessing the number of …
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Classification of 4D fMRI Images Using ML, Focusing on Computational and Memory Utilization Efficiency
… from Resting-State fMRI data and show that small Machine Leaning models can with good accuracy classify subjects with respect to Alzheimer’s disease (AD) or Mild Cognitive Impairment (MCI) or being Cognitive Normal (CN). In fMRI, brain activity is captured from Blood Oxygen Level-Dependent (BOLD) …
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Machine Learning-aided High-throughput Synthesis and Development of Optoelectronic Materials
… years, researchers have increasingly turned to machine learning (ML) techniques to help accelerate research spanning disparate fields. This has largely been motivated by the advent of readily accessible high-performance computing techniques; and equally by the need to decrease the time in which …
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A noninvasive screening tool for cell fate determination using raman spectroscopy and machine learning in tissue engineering and microbiology applications
… stage. Combining Raman spectroscopy with machine learning methods such as partial least-squares discriminant analysis could enable objective classification of stem cell fate outcomes on screening platforms, monitoring differentiation stages of cells over time and investigate the …
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Towards Aggregating Time-Discounted Information in Sensor Networks
… and aggregation enhanced with data mining and machine learning techniques, many static and dynamic patterns can be found by sensor networks. The aggregation problem is complicated by the fact that the perceived value of the data collected by the sensors is affected by many factors such as time, …