AIMC Topic: Support Vector Machine

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iT3SE-PX: Identification of Bacterial Type III Secreted Effectors Using PSSM Profiles and XGBoost Feature Selection.

Computational and mathematical methods in medicine Jan 6, 2021
Identification of bacterial type III secreted effectors (T3SEs) has become a popular research topic in the field of bioinformatics due to its crucial role in understanding host-pathogen interaction and developing better therapeutic targets against th...
Computational Biology Support Vector Machine Databases, Protein Machine Learning Algorithms Type III Secretion Systems Amino Acid Sequence Position-Specific Scoring Matrices
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OpenChem: A Deep Learning Toolkit for Computational Chemistry and Drug Design.

Journal of chemical information and modeling Jan 4, 2021
Deep learning models have demonstrated outstanding results in many data-rich areas of research, such as computer vision and natural language processing. Currently, there is a rise of deep learning in computational chemistry and materials informatics,...
Computational Chemistry Deep Learning Support Vector Machine Machine Learning Drug Design
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Modified multiscale weighted permutation entropy and optimized support vector machine method for rolling bearing fault diagnosis with complex signals.

ISA transactions Jan 1, 2021
The rolling bearing vibration signals are complex, non-linear, and non-stationary, it is difficult to extract the sensitive features and diagnose faults by conventional signal processing methods. This paper focuses on the sensitive features extractio...
Signal Processing, Computer-Assisted Entropy Vibration Algorithms Support Vector Machine
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Feature extraction of EEG signals based on functional data analysis and its application to recognition of driver fatigue state.

Physiological measurement Jan 1, 2021
OBJECTIVE: Our objective is to study how to obtain features which can reflect the continuity and internal dynamic changes of electroencephalography (EEG) signals and study an effective method for fatigued driving state recognition based on the obtain...
Humans Data Analysis Electroencephalography Automobile Driving Fatigue Algorithms Support Vector Machine
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Viscosity of Ionic Liquids: Application of the Eyring's Theory and a Committee Machine Intelligent System.

Molecules (Basel, Switzerland) Dec 31, 2020
Accurate determination of the physicochemical characteristics of ionic liquids (ILs), especially viscosity, at widespread operating conditions is of a vital role for various fields. In this study, the viscosity of pure ILs is modeled using three appr...
Thermodynamics Solvents Viscosity Artificial Intelligence Algorithms Temperature Bayes Theorem Support Vector Machine Ionic Liquids
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Weed and Corn Seedling Detection in Field Based on Multi Feature Fusion and Support Vector Machine.

Sensors (Basel, Switzerland) Dec 31, 2020
Detection of weeds and crops is the key step for precision spraying using the spraying herbicide robot and precise fertilization for the agriculture machine in the field. On the basis of k-mean clustering image segmentation using color information an...
Plant Weeds Zea mays Crops, Agricultural Support Vector Machine Seedlings
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Machine learning-based multimodal prediction of language outcomes in chronic aphasia.

Human brain mapping Dec 30, 2020
Recent studies have combined multiple neuroimaging modalities to gain further understanding of the neurobiological substrates of aphasia. Following this line of work, the current study uses machine learning approaches to predict aphasia severity and ...
Cerebrovascular Circulation Diffusion Tensor Imaging Aphasia Language Tests Outcome Assessment, Health Care Neuroimaging Chronic Disease Severity of Illness Index Stroke Functional Neuroimaging Magnetic Resonance Imaging Humans Multimodal Imaging Female Support Vector Machine Aged Adult Aged, 80 and over Male Middle Aged
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Smooth dendrite morphological neurons.

Neural networks : the official journal of the International Neural Network Society Dec 29, 2020
A typical feature of hyperbox-based dendrite morphological neurons (DMN) is the generation of sharp and rough decision boundaries that inaccurately track the distribution shape of classes of patterns. This feature is because the minimum and maximum a...
Neurons Dendrites Algorithms Support Vector Machine Humans Neural Networks, Computer Machine Learning
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The 2020 SVM/SVU Consensus Statement for the Interpretation of Peripheral Arterial and Venous Doppler Waveforms: An interview with SVM members of the Writing Committee.

Vascular medicine (London, England) Dec 29, 2020
Support Vector Machine Veins Arteries Writing Consensus Humans
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A computational model for GPCR-ligand interaction prediction.

Journal of integrative bioinformatics Dec 29, 2020
G protein-coupled receptors (GPCRs) play an essential role in critical human activities, and they are considered targets for a wide range of drugs. Accordingly, based on these crucial roles, GPCRs are mainly considered and focused on pharmaceutical r...
Bayes Theorem Algorithms Humans Ligands Support Vector Machine Machine Learning
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