Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Multiple Regression01:25

Multiple Regression

Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Regression Analysis01:11

Regression Analysis

Regression analysis is a statistical tool that describes a mathematical relationship between a dependent variable and one or more independent variables.
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Detection of Dengue Virus RNA in Breast Milk Following Peripartum Infection - Guangzhou City, Guangdong Province, China, 2024.

China CDC weekly·2025
Same author

Retraction notice to "Two types of core/shell fibers based on carboxymethyl chitosan and sodium carboxymethyl cellulose with self-assembled liposome for buccal delivery of carvedilol across TR146 cell culture and porcine buccal mucosa" [International Journal of Biological Macromolecules 128 (2019) 700-709].

International journal of biological macromolecules·2025
Same author

Robot-Assisted Screw Fixation Combined With Endoscopic Bone Graft in the Minimally Invasive Treatment of Lumbar Spondylolysis: A Single-Center Retrospective Study.

Orthopaedic surgery·2025
Same author

GPx3 Promotes Functional Recovery after Spinal Cord Injury by Inhibiting Microglial Pyroptosis Through IRAK4/ROS/NLRP3 Axis.

Antioxidants & redox signaling·2025
Same author

[Formononetin enhances the antitumor effect of H22 hepatoma transplanted mice].

Xi bao yu fen zi mian yi xue za zhi = Chinese journal of cellular and molecular immunology·2023
Same author

Hesperetin ameliorates spinal cord injury by inhibiting NLRP3 inflammasome activation and pyroptosis through enhancing Nrf2 signaling.

International immunopharmacology·2023
Same journal

Reliability of A Vibration-Based Elastography Protocol For Assessing Achilles Tendon Stiffness Across Multiple Joint Angles In Elite Athletes.

Journal of visualized experiments : JoVE·2026
Same journal

Associations of Inflammatory and Coagulation Biomarkers with Kidney Injury Across Chronic and Acute Clinical Settings.

Journal of visualized experiments : JoVE·2026
Same journal

Intelligent Recommender Systems for Chinese Super League Fan Consumption Behavior Prediction.

Journal of visualized experiments : JoVE·2026
Same journal

A Battery of Quantitative Binocular Vision Tests for Adults: Testing Protocols.

Journal of visualized experiments : JoVE·2026
Same journal

Efficacy Analysis of Paiteling in Treating Persistent High-Risk Human Papillomavirus after Cervical Cancer Surgery.

Journal of visualized experiments : JoVE·2026
Same journal

Clinical Efficacy of Tissue-Bone Homeostasis Manipulation on Soft Tissue Balance and Function in Knee Osteoarthritis.

Journal of visualized experiments : JoVE·2026
See all related articles

Related Experiment Video

Updated: Jun 17, 2026

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
20:24

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study

Published on: January 31, 2014

Real-Time Assessment of Cut Tobacco Alignment Orderliness Using an Improved Single-Stage Regression Model.

Xiaohang Zhang1, Zhimin Lu1, Jianting Chen1

  • 1Longyan Tobacco Industrial Co., Ltd.

Journal of Visualized Experiments : Jove
|June 15, 2026
PubMed
Summary
This summary is machine-generated.

A new AI model accurately measures cut tobacco alignment for better cigarette production quality. This automated system improves efficiency and reduces computational costs in industrial settings.

Related Experiment Videos

Last Updated: Jun 17, 2026

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
20:24

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study

Published on: January 31, 2014

Area of Science:

  • Industrial Automation
  • Computer Vision
  • Quality Control

Background:

  • Cut tobacco orderliness is crucial for cigarette production quality.
  • Automated assessment is challenging due to complex structures and imaging variability.

Purpose of the Study:

  • To develop an improved single-stage regression model for reliable detection of cut tobacco alignment orderliness.
  • To enhance the accuracy and efficiency of automated quality assessment in cigarette manufacturing.

Main Methods:

  • Implemented a multifrequency interactive downsampling method for feature preservation.
  • Utilized a triple complementary fusion strategy for enhanced multiscale feature representation.
  • Incorporated a dynamic detection head and a custom orientation prediction method for quantification.

Main Results:

  • Achieved a mean average precision of 89.9%, precision of 90.6%, and recall of 88.7% on an industrial dataset.
  • Reduced model parameters by 30.8% and computational complexity by 21.5% compared to the baseline.
  • Demonstrated improved performance with reduced resource requirements.

Conclusions:

  • The proposed model enables efficient and accurate assessment of cut tobacco alignment orderliness.
  • The method is suitable for real-time industrial applications, optimizing production quality.