AIMC Topic: Linear Models

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Particle Swarm Optimization aided PID gait controller design for a humanoid robot.

ISA transactions Dec 19, 2020
Gait planning for the humanoid robot is a very essential and basic requirement. The humanoid robot is balanced at two feet; therefore, special attention is required for gait analysis for the execution of assigned tasks. In this paper, the linear inve...
Linear Models Algorithms Computer Simulation Robotics Gait
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Directed Evolution of a Selective and Sensitive Serotonin Sensor via Machine Learning.

Cell Dec 16, 2020
Serotonin plays a central role in cognition and is the target of most pharmaceuticals for psychiatric disorders. Existing drugs have limited efficacy; creation of improved versions will require better understanding of serotonergic circuitry, which ha...
Humans Machine Learning Algorithms Photons Wakefulness Mice Sleep Amygdala Behavior, Animal Mice, Inbred C57BL Linear Models Serotonin Plasma Membrane Transport Proteins Kinetics Binding Sites HEK293 Cells Amino Acid Sequence Directed Molecular Evolution Brain Serotonin Animals Protein Binding
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Machine learning-based e-commerce platform repurchase customer prediction model.

PloS one Dec 3, 2020
In recent years, China's e-commerce industry has developed at a high speed, and the scale of various industries has continued to expand. Service-oriented enterprises such as e-commerce transactions and information technology came into being. This pap...
Internet Use China Humans Logistic Models Machine Learning Linear Models Algorithms Commerce
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Machine learning predicts live-birth occurrence before in-vitro fertilization treatment.

Scientific reports Dec 1, 2020
In-vitro fertilization (IVF) is a popular method of resolving complications such as endometriosis, poor egg quality, a genetic disease of mother or father, problems with ovulation, antibody problems that harm sperm or eggs, the inability of sperm to ...
Machine Learning Algorithms Female Young Adult ROC Curve Humans Fertilization in Vitro Linear Models Adult Live Birth Male Middle Aged Adolescent
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Identification of contributing genes of Huntington's disease by machine learning.

BMC medical genomics Nov 23, 2020
BACKGROUND: Huntington's disease (HD) is an inherited disorder caused by the polyglutamine (poly-Q) mutations of the HTT gene results in neurodegeneration characterized by chorea, loss of coordination, cognitive decline. However, HD pathogenesis is s...
Linear Models Gene Expression Regulation Perception Prefrontal Cortex Gene Ontology Humans Nerve Tissue Proteins Cytoskeleton Inflammation Machine Learning Sensation Cognition Gene Expression Profiling Huntington Disease Datasets as Topic Decision Trees
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Evaluation of incomplete maternal smoking data using machine learning algorithms: a study from the Medical Birth Registry of Norway.

BMC pregnancy and childbirth Nov 23, 2020
BACKGROUND: The Medical Birth Registry of Norway (MBRN) provides national coverage of all births. While retrieval of most of the information in the birth records is mandatory, mothers may refrain to provide information on her smoking status. The prop...
Smoking Culture Norway Registries Mothers Linear Models Algorithms Marital Status Pregnancy Humans Young Adult Female Machine Learning Adult Educational Status Prevalence
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Using Auto-Segmentation to Reduce Contouring and Dose Inconsistency in Clinical Trials: The Simulated Impact on RTOG 0617.

International journal of radiation oncology, biology, physics Nov 13, 2020
PURPOSE: Contouring inconsistencies are known but understudied in clinical radiation therapy trials. We applied auto-contouring to the Radiation Therapy Oncology Group (RTOG) 0617 dose escalation trial data. We hypothesized that the trial heart doses...
Humans Algorithms Tomography, X-Ray Computed Female Organs at Risk Aged Radiotherapy Dosage Deep Learning Aged, 80 and over Confidence Intervals Clinical Trials, Phase III as Topic Lung Neoplasms Adult Linear Models Statistics, Nonparametric Carcinoma, Non-Small-Cell Lung Male Proportional Hazards Models Heart Middle Aged
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Age estimation based on 3D pulp chamber segmentation of first molars from cone-beam-computed tomography by integrated deep learning and level set.

International journal of legal medicine Nov 13, 2020
OBJECTIVES: To develop an automatic segmentation method to segment the pulp chamber of first molars from 3D cone-beam-computed tomography (CBCT) images, and to estimate ages by calculated pulp volumes.
Molar Deep Learning Dental Pulp Cavity Adolescent Child Cone-Beam Computed Tomography Imaging, Three-Dimensional Linear Models Age Determination by Teeth Young Adult Adult Male Middle Aged Retrospective Studies Female Aged Humans
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Self-Optimizing Support Vector Elastic Net.

Analytical chemistry Nov 9, 2020
Chemometrics is widely used to solve various quantitative and qualitative problems in analytical chemistry. A self-optimizing chemometrics method facilitates scientists to exploit the advantages of chemometrics. In this report, a parameter-free suppo...
Support Vector Machine Linear Models Cheminformatics
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Prediction of power generation and rotor angular speed of a small wind turbine equipped to a controllable duct using artificial neural network and multiple linear regression.

Environmental research Nov 6, 2020
Wind power is one of the most popular sources of renewable energies with an ideal extractable value that is limited to 0.593 known as the Betz-Joukowsky limit. As the generated power of wind machines is proportional to cubic wind speed, therefore it ...
Renewable Energy Neural Networks, Computer Linear Models
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