Jove
Visualize
Contact Us

Related Concept Videos

Trial and Error and Algorithm01:12

Trial and Error and Algorithm

409
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
409
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

317
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
317
Targeted Cancer Therapies02:57

Targeted Cancer Therapies

8.9K
The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
There are several types of targeted therapies against...
8.9K
Base Excision Repair01:54

Base Excision Repair

26.3K
One of the common DNA damages is the chemical alteration of single bases by alkylation, oxidation, or deamination. The altered bases cause mispairing and strand breakage during replication. This type of damage causes minimal change to the DNA double helix structure and can be repaired by the base excision repair (BER) pathways. BER corrects damaged DNA sequences by removing the damaged base and restoring the original base sequence using the complementary strand as a template.
The first step of...
26.3K
Targets for Drug Action: Overview01:26

Targets for Drug Action: Overview

10.3K
Drugs target macromolecules to modify ongoing cellular processes. Primary drug targets include receptors, ion channels, transporters, and enzymes.
Receptors are either membrane-spanning or intracellular proteins, which upon binding a ligand, get activated and transmit the signal downstream to elicit a response. Drugs bind receptors, either mimicking the action of endogenous ligands or blocking the receptor activity to bring about a modified response. Nearly 35% of approved drugs target the G...
10.3K
Target Cell Response to Hormones01:22

Target Cell Response to Hormones

5.7K
Hormones intricately bind to receptors on the surface or within target cells, initiating a cascade of cellular responses.
Notably, the cellular response can be regulated by altering the number of receptors expressed in the cell. For example, prolonged exposure to elevated hormone levels results in a gradual decline or down-regulation in the number of receptors for that specific hormone on the cell surface. Conversely, in response to low hormone levels, cells may use up-regulation, producing an...
5.7K

You might also read

Related Articles

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

Sort by
Same author

Generation and Validation of miR-100 Hepatocyte-Specific Knock-Out Mice.

Frontiers in oncology·2019
Same author

Activity determination of (41)Ar using efficiency extrapolation method and 4πβ(PS)-4πγ(NaI) coincidence system.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine·2014
Same author

Measurement of absolute gamma-ray emission probabilities from decay of 138Xe.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine·2013
See all related articles
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 Experiment Video

Updated: Feb 1, 2026

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures
07:05

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Published on: February 15, 2022

2.9K

DMS-YOLO: Small target detection algorithm based on YOLOv11.

Minyu Huang1, Wengang Jiang1

  • 1School of Automation, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, China.

Plos One
|January 30, 2026
PubMed
Summary

This study introduces Dynamic Multi-scale and Channel-scaled YOLO (DMS-YOLO), an enhanced YOLOv11n model for vehicle detection in unmanned aerial vehicle (UAV) images. DMS-YOLO significantly improves small target detection accuracy and overall performance in complex aerial scenes.

More Related Videos

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.5K
Aptamer-Based Target Detection Facilitated by a 3-Stage G-Quadruplex Isothermal Exponential Amplification Reaction
03:38

Aptamer-Based Target Detection Facilitated by a 3-Stage G-Quadruplex Isothermal Exponential Amplification Reaction

Published on: October 6, 2022

1.9K

Related Experiment Videos

Last Updated: Feb 1, 2026

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures
07:05

Area-based Image Analysis Algorithm for Quantification of Macrophage-fibroblast Cocultures

Published on: February 15, 2022

2.9K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.5K
Aptamer-Based Target Detection Facilitated by a 3-Stage G-Quadruplex Isothermal Exponential Amplification Reaction
03:38

Aptamer-Based Target Detection Facilitated by a 3-Stage G-Quadruplex Isothermal Exponential Amplification Reaction

Published on: October 6, 2022

1.9K

Area of Science:

  • Computer Vision
  • Artificial Intelligence
  • Machine Learning

Background:

  • Vehicle detection from unmanned aerial vehicle (UAV) overhead images faces challenges including small object size, low resolution, complex backgrounds, and scale variation.
  • Existing models like YOLOv11n require enhancements to effectively address these specific detection difficulties in aerial imagery.

Purpose of the Study:

  • To propose a novel deep learning architecture, Dynamic Multi-scale and Channel-scaled YOLO (DMS-YOLO), for improved vehicle detection in UAV overhead images.
  • To enhance the YOLOv11n model by incorporating modules that address small object size, low resolution, and complex background challenges.

Main Methods:

  • Introduced a Dynamic Multi-Scale Edge Enhancement Network (DMS-EdgeNet) inspired by CSPNet for robust local target feature extraction.
  • Integrated the DynaScale Aggregation Network (DySAN) with multi-level jump connections to fuse semantic information and improve boundary detection.
  • Added a P2 small target detection layer to specifically enhance the model's capability for detecting diminutive objects.

Main Results:

  • DMS-YOLO achieved a 7.0% increase in mAP50 and a 2.9% increase in mAP50-95 on the Aerial Traffic Images dataset compared to YOLOv11n.
  • On the VisDrone-DET2019 dataset, DMS-YOLO demonstrated improvements of 5.1% in mAP50 and 3.1% in mAP50-95.
  • The proposed enhancements significantly improved the model's perception of small targets and overall detection accuracy.

Conclusions:

  • DMS-YOLO represents a significant advancement in vehicle detection for UAV imagery, outperforming the YOLOv11n baseline.
  • The novel architectural modifications effectively tackle key challenges in aerial object detection, particularly for small and low-resolution targets.
  • The proposed DMS-YOLO model offers superior performance and accuracy for real-world applications involving aerial surveillance and traffic monitoring.