Medical Legal Financial Acronyms Idioms Encyclopedia Wikipedia </>embed</> wasteland solitude void wilderness wilds desert offscourings leavings dregs dross offal rubbish frugality unthriftiness prodigality misapplication wastefulness squandering emaciate ...
Furthermore, it has been underscored that for low-income countries such as Mozambique, instead of planning for complex sorting and high-tech projects, adopting uncomplicated measures for segregation, setting up small-scale recycling projects, and enforcing extended producer responsibility (EPR) programs ...
Theory of Planned Behavior and hypotheses related to it This study applies the TPB model, which has been used by several literature to investigate FW related behavior19,20,21, and their results suggest that TPB provides a powerful basis for describing food-wasting behavior4,22,23. According to...
10. These cities are implementing various innovative strategies to address waste-related challenges, ranging from smart bin systems to community engagement programs for waste reduction and segregation [8]. While these cities are making efforts to improve their waste management practices, they also face...
segregation of waste presents the issues on the implementation of these policies, the status of compliance by the local… 11050 Words 45 Pages Powerful Essays Read More Related Literature Waste can be described as "any substance or object the holder discards, intends to discard or is requ...
Household waste segregation and recycling is ranked at a high priority of the waste management hierarchy. Its management remains a great challenge due to the high dependency on social behaviours. The integration of Internet of Things (IoT) and subscription accounts on social media platforms related ...
"Literature review" gives the comprehensive review related to HWRPLs assessment. Section "Proposed FF-score function and distance measure on FFSs" splits into three subsections: (i) some basic definitions are presented related to this study, (ii) new FF-score function is developed to avoid ...
Approximately 66% of healthcare related waste is inappropriately contaminated, meaning that significant savings are possible if correct segregation and recycling were to occur. An increase in the amount of bins, identification labels above bins and education of staff results in an increased likelihood ...
Automated segregation in the proposed work uses Improved Deep Convolutional Neural Network (DCNN). The dataset of 2 class category with 25077 images is divided into 70% training and 30% testing images. The performance metrics used are classification Accuracy, Missed Detection Rate (MDR), and False...
A comparative analysis of deep learning models for waste segregation: YOLOv8, EfficientDet, and Detectron 2 Article 29 January 2025 SEFWaM–deep learning based smart ensembled framework for waste management Article 11 July 2023 Design and development of smart Internet of Things–based solid wast...