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International Journal of Sustainable Infrastructure for Cities and Societies

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Published

2023-06-10

Issue

Vol. 8 No. 2 (2023): IJSICS-APRIL-JUNE

Section

Articles

How to Cite

Reza, M., & Hassan, M. (2023). AI-Driven Solutions for Enhanced Waste Management and Recycling in Urban Areas. International Journal of Sustainable Infrastructure for Cities and Societies, 8(2), 1–13. Retrieved from https://vectoral.org/index.php/IJSICS/article/view/9

AI-Driven Solutions for Enhanced Waste Management and Recycling in Urban Areas

Murshid Reza

Research scholar, University Of Agriculture Faisalabad, 38040, Pakistan

Mohammad Hassan

Keywords: AI-driven solutions, Waste management, Recycling, Urban areas, Resource efficiency

Abstract

The effective management and recycling of waste in urban areas present significant challenges that require innovative solutions. This research abstract explores the application of artificial intelligence (AI) in waste management to address these challenges. By leveraging AI-driven technologies, municipalities and recycling facilities can optimize waste collection, enhance sorting accuracy, predict waste generation patterns, educate the public, detect illegal dumping, and promote a circular economy. One key area where AI demonstrates its potential is in smart waste collection. By integrating sensors and cameras on waste bins, AI algorithms can analyze real-time data to optimize collection routes and schedules based on fill levels, reducing fuel consumption and emissions. Furthermore, AI-powered image recognition systems enable automated sorting of various waste materials, enhancing recycling operations' speed and accuracy, resulting in increased resource recovery. Predictive analytics play a crucial role in waste management planning. By analyzing historical and real-time data, AI can predict waste generation patterns, helping municipalities and recycling facilities optimize resource allocation and prevent overflow or shortage of waste management infrastructure. Additionally, AI-powered chatbots and mobile applications provide educational support to the public by offering guidance on proper waste segregation, personalized tips, and reminders to encourage recycling behavior. AI algorithms also contribute to addressing environmental issues such as illegal dumping. Through the analysis of surveillance camera footage, AI can swiftly detect and alert authorities to instances of unauthorized waste disposal, improving enforcement efforts and reducing pollution. Moreover, AI's potential extends to optimizing the transition to a circular economy. By analyzing supply chains and identifying waste reduction, product reuse, and recycling opportunities, AI supports the implementation of sustainable and resource-efficient practices.

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Submission Guidelines for the Journal of Quarterly Journal of Emerging Technologies and Innovations (IJSICS) General Guidelines:

  1. Article Types: We accept a variety of article types including Original Research Articles, Review Papers, Short Reports, and Opinion Pieces.

  2. Language: Manuscripts must be written in English, and should be clear, concise, and free of jargon.

  3. Length: There is no strict word limit, but Original Research Articles should generally be between 4,000 and 10,000 words, including references.

  4. Formatting: Manuscripts should be submitted as a single Word or LaTeX document, formatted in double-spaced 12-point font.

  5. Abstract: An abstract of 250-300 words is required for all submissions, summarizing the key objectives, methods, findings, and implications of the research.

Manuscript Structure:

  • Title Page: Must include the title, author names, affiliations, and contact information for the corresponding author.

  • Introduction: Provide background, state the problem, and outline objectives.

  • Methods: Detail the methods and tools used in your research.

  • Results: Present the findings of your study.

  • Discussion: Interpret results, discuss their impact, and suggest future research directions.

  • Conclusion: Summarize the main points of the paper.

  • References: Citations should be formatted according to the APA/IEEE styles.

Ethical Guidelines:

Authors must ensure that their research adheres to ethical standards and that informed consent has been obtained for any human or animal subjects involved.

Plagiarism:

The Journal of Computational Social Dynamics uses plagiarism detection software. Any manuscript found to include plagiarized content will be rejected.

Peer Review Process:

All submissions undergo a double-blind peer review process. Authors can expect initial feedback within six to eight weeks.

Submission Process:
  1. Prepare your manuscript according to the guidelines.
  2. Submit your manuscript through our online portal.
  3. After submission, you will receive a confirmation email with a manuscript ID for tracking purposes.
Revisions:

If revisions are requested, authors must resubmit the revised manuscript within the specified timeframe.

Publication Fees:

The journal has a nominal publication fee, waived for authors who lack funding. Details are available on our website.

For any questions or concerns, please contact the editorial office at editorial@vectoral.org. Thank you for considering the IJSICS as a venue for your research.

Published by Vectoral Publishing, the International Journal of Sustainable Infrastructure for Cities and Societies maintains high standards in peer-review and scientific inquiry. Authors who wish to submit manuscripts should adhere to the guidelines detailed on our website, www.vectoral.org/QJETI. Vectoral Publishing does not bear any responsibility for the accuracy of information or for any outcomes related to the use of the research published. For editorial correspondence and submissions, please reach out to editorial@vectoral.org.