Artificial Intelligent and Internet of Things framework for sustainable hazardous waste management in hospitals.

Clicks: 435
ID: 281978
2025
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #9 of 145 articles by views in waste management (new york, ny)

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 145 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Healthcare activities in hospitals generate numerous types of post-use waste materials that can be classified as hazardous. This study proposes an Artificial Intelligence (AI) and Internet of Things (IoT) integrated framework for secure and efficient hazardous waste management in hospitals. Smart bins with IoT-enabled locks ensure waste collection, while Convolutional Neural Network (CNN) and Adaptive Neuro Fuzzy Inference System (ANFIS) improve detection and classification accuracy. A kinematic waste sorting mechanism is proposed to manage space constraints in hospitals. Deep Reinforcement Learning optimises disinfection scheduling and waste storage, and Federated Learning ensures secure decentralised data handling. Preliminary models demonstrate significant improvements in classification accuracy, reduced manual intervention, and compliance with safety policies. This theoretical framework provides a scalable solution for hazardous waste management in healthcare and other industries, with a small-scale experiment that validates AI models.
Reference Key
kumar2025artificial Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Kumar, Amit Krishan; Ali, Yasir; Kumar, Rahul R; Assaf, Mansour H; Ilyas, Sadia
Journal waste management (new york, ny)
Year 2025
DOI
10.1016/j.wasman.2025.114816
URL
Keywords
artificial intelligence Internet of Things sustainable development goals hospital waste management environmental pollution mitigation

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.