AIMC Topic: Support Vector Machine

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SVM Communications: Highlights from the 32nd SVM Scientific Sessions.

Vascular medicine (London, England) Nov 8, 2021
Algorithms Support Vector Machine Humans
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Phybrata Sensors and Machine Learning for Enhanced Neurophysiological Diagnosis and Treatment.

Sensors (Basel, Switzerland) Nov 8, 2021
Concussion injuries remain a significant public health challenge. A significant unmet clinical need remains for tools that allow related physiological impairments and longer-term health risks to be identified earlier, better quantified, and more easi...
Humans Machine Learning Algorithms Neural Networks, Computer Support Vector Machine Monitoring, Physiologic
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Decision tree accelerated CTU partition algorithm for intra prediction in versatile video coding.

PloS one Nov 8, 2021
Versatile video coding (VVC) achieves enormous improvement over the advanced high efficiency video coding (HEVC) standard due to the adoption of the quadtree with nested multi-type tree (QTMT) partition structure and other coding tools. However, the ...
Communications Media Video Recording Data Compression Statistical Distributions Support Vector Machine Machine Learning Decision Trees Software Algorithms
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Lightweight Deep Neural Network Method for Water Body Extraction from High-Resolution Remote Sensing Images with Multisensors.

Sensors (Basel, Switzerland) Nov 7, 2021
Rapid and accurate extraction of water bodies from high-spatial-resolution remote sensing images is of great value for water resource management, water quality monitoring and natural disaster emergency response. For traditional water body extraction ...
Geography Remote Sensing Technology Neural Networks, Computer Machine Learning Support Vector Machine
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FTWSVM-SR: DNA-Binding Proteins Identification via Fuzzy Twin Support Vector Machines on Self-Representation.

Interdisciplinary sciences, computational life sciences Nov 6, 2021
Due to the high cost of DNA-binding proteins (DBPs) detection, many machine learning algorithms (ML) have been utilized to large-scale process and detect DBPs. The previous methods took no count of the processing of noise samples. In this study, a fu...
DNA-Binding Proteins Machine Learning Algorithms Support Vector Machine
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Risk of bias assessment in preclinical literature using natural language processing.

Research synthesis methods Nov 5, 2021
We sought to apply natural language processing to the task of automatic risk of bias assessment in preclinical literature, which could speed the process of systematic review, provide information to guide research improvement activity, and support tra...
Neural Networks, Computer Support Vector Machine Natural Language Processing
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Fault Detection in the MSW Incineration Process Using Stochastic Configuration Networks and Case-Based Reasoning.

Sensors (Basel, Switzerland) Nov 5, 2021
Fault detection in the waste incineration process depends on high-temperature image observation and the experience of field maintenance personnel, which is inefficient and can easily cause misjudgment of the fault. In this paper, a fault detection me...
Neural Networks, Computer Incineration Support Vector Machine
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The viral expression and immune status in human cancers and insights into novel biomarkers of immunotherapy.

BMC cancer Nov 5, 2021
BACKGROUND: Viral infections are prevalent in human cancers and they have great diagnostic and theranostic values in clinical practice. Recently, their potential of shaping the tumor immune microenvironment (TIME) has been related to the immunotherap...
Transcriptome RNA-Seq Immunotherapy Biomarkers, Tumor Neoplasms Head and Neck Neoplasms Support Vector Machine DNA, Viral Papillomavirus Infections Squamous Cell Carcinoma of Head and Neck Humans Stomach Neoplasms Tumor Microenvironment Mutation Kaplan-Meier Estimate High-Throughput Nucleotide Sequencing Epstein-Barr Virus Infections Machine Learning Oncogenic Viruses Leukocytes Herpesvirus 4, Human Papillomaviridae Tumor Virus Infections Genome, Viral Genetic Variation
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The role of machine learning applications in diagnosing and assessing critical and non-critical CHD: a scoping review.

Cardiology in the young Nov 2, 2021
Machine learning uses historical data to make predictions about new data. It has been frequently applied in healthcare to optimise diagnostic classification through discovery of hidden patterns in data that may not be obvious to clinicians. Congenita...
Machine Learning Algorithms Child Humans Magnetic Resonance Imaging Support Vector Machine Heart Defects, Congenital
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Multifactor Prediction of Embryo Transfer Outcomes Based on a Machine Learning Algorithm.

Frontiers in endocrinology Nov 2, 2021
fertilization-embryo transfer (IVF-ET) technology make it possible for infertile couples to conceive a baby successfully. Nevertheless, IVF-ET does not guarantee success. Frozen embryo transfer (FET) is an important supplement to IVF-ET. Many factor...
Body Mass Index Reproducibility of Results Predictive Value of Tests Hormone Replacement Therapy Sensitivity and Specificity Embryonic Development Algorithms Support Vector Machine Progesterone Humans Pregnancy Estradiol Treatment Outcome Machine Learning Female Embryo Transfer Endometrium
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