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

Environmental Applications of Microorganisms01:30

Environmental Applications of Microorganisms

788
Microorganisms play a pivotal role in maintaining ecosystem balance by recycling essential elements such as carbon, nitrogen, and phosphorus, as well as supporting processes like bioremediation, wastewater treatment, and biofuel production.Microbes in Elemental CyclesIn the carbon cycle, microorganisms decompose organic matter, releasing carbon dioxide via aerobic respiration. This carbon dioxide is subsequently used by photosynthetic organisms to synthesize organic compounds, closing the...
788
Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

5.2K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
5.2K
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

6.1K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
6.1K

You might also read

Related Articles

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

Sort by
Same author

AI-Based Intraoral Videography for Automated Dental Inspection and Charting in Children With Mixed Dentition.

International journal of telemedicine and applications·2026
Same author

Endoscopic submucosal dissection of duodenal Brunner's gland mass using transpyloric traction wire fixation.

VideoGIE : an official video journal of the American Society for Gastrointestinal Endoscopy·2026
Same author

Angiotensin converting enzyme-2 activation mitigates glucocorticoids-induced osteoporosis in rats by modulating oxidative stress, inflammation and the RANKL/OPG pathway.

Pflugers Archiv : European journal of physiology·2026
Same author

Development and simulation of an innovative autonomous knowledge-based smart waste collection system.

Scientific reports·2026
Same author

Target-less registration of UAV-LiDAR point clouds based on graph matching of tree locations in forest environments.

Scientific reports·2026
Same author

De-escalating breast and axillary surgery in breast cancer: evidence, controversies, and future directions.

Frontiers in oncology·2026

Related Experiment Video

Updated: Dec 21, 2025

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

665

Artificial intelligence applications in solid waste management: A systematic research review.

Mohamed Abdallah1, Manar Abu Talib2, Sainab Feroz1

  • 1Department of Civil and Environmental Engineering, University of Sharjah, Sharjah, United Arab Emirates.

Waste Management (New York, N.Y.)
|May 20, 2020
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) offers advanced computational solutions for complex solid waste management (SWM) challenges. This review analyzes AI applications in SWM, highlighting its potential for optimization and prediction.

Keywords:
Artificial intelligenceDeep learningMachine learningModelingNeural networksOptimization

More Related Videos

Author Spotlight: Advancing Anaerobic Microbiota Research Using a Novel Respirometry Protocol
06:11

Author Spotlight: Advancing Anaerobic Microbiota Research Using a Novel Respirometry Protocol

Published on: April 26, 2024

1.7K
Continuously-stirred Anaerobic Digester to Convert Organic Wastes into Biogas: System Setup and Basic Operation
11:31

Continuously-stirred Anaerobic Digester to Convert Organic Wastes into Biogas: System Setup and Basic Operation

Published on: July 13, 2012

34.6K

Related Experiment Videos

Last Updated: Dec 21, 2025

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

665
Author Spotlight: Advancing Anaerobic Microbiota Research Using a Novel Respirometry Protocol
06:11

Author Spotlight: Advancing Anaerobic Microbiota Research Using a Novel Respirometry Protocol

Published on: April 26, 2024

1.7K
Continuously-stirred Anaerobic Digester to Convert Organic Wastes into Biogas: System Setup and Basic Operation
11:31

Continuously-stirred Anaerobic Digester to Convert Organic Wastes into Biogas: System Setup and Basic Operation

Published on: July 13, 2012

34.6K

Area of Science:

  • Environmental Science
  • Computer Science
  • Operations Research

Background:

  • Solid waste management (SWM) involves complex, nonlinear processes influenced by numerous parameters.
  • Conventional methods struggle to model, predict, and optimize these intricate SWM systems.
  • Artificial intelligence (AI) presents promising computational approaches for addressing SWM challenges due to its ability to handle uncertainty and incomplete data.

Purpose of the Study:

  • To systematically review and analyze the application of AI techniques in various solid waste management (SWM) domains.
  • To assess the potential of AI in solving diverse SWM problems, including forecasting, routing, and planning.
  • To provide a comprehensive overview of AI models, techniques, and performance metrics used in SWM research.

Main Methods:

  • Systematic literature review of 85 research studies published between 2004 and 2019.
  • Analysis of AI applications across different SWM fields such as waste characteristic forecasting, bin level detection, process parameter prediction, vehicle routing, and SWM planning.
  • Evaluation of AI models, techniques, software platforms, and reported performance parameters.

Main Results:

  • AI techniques have been applied to various SWM problems, demonstrating effectiveness in forecasting, optimization, and planning.
  • A range of AI models, including machine learning and deep learning, have been utilized.
  • The review identifies common software platforms and performance metrics for AI implementation in SWM.

Conclusions:

  • AI shows significant potential to enhance the efficiency and effectiveness of solid waste management (SWM) processes.
  • Further research is needed to explore the full capabilities and address the challenges of applying AI in SWM.
  • This review offers insights into current AI applications and future directions for AI-driven SWM solutions.