Smart waste management 4.0: The transition from a systematic review to an integrated framework
Abstract Smart Waste Management (SWM) discusses the waste management process for
different types of waste while introducing an intelligent approach to controlling the amount of …
different types of waste while introducing an intelligent approach to controlling the amount of …
[HTML][HTML] Solid waste generation and disposal using machine learning approaches: a survey of solutions and challenges
We present a survey of machine learning works that attempt to organize the process flow of
waste management in smart cities. Unlike past reviews, we focused on the waste generation …
waste management in smart cities. Unlike past reviews, we focused on the waste generation …
[HTML][HTML] Waste management and prediction of air pollutants using IoT and machine learning approach
Increasing waste generation has become a significant issue over the globe due to the rapid
increase in urbanization and industrialization. In the literature, many issues that have a …
increase in urbanization and industrialization. In the literature, many issues that have a …
[HTML][HTML] A multi-layer lorawan infrastructure for smart waste management
Long Range Wide Area Network (LoRaWAN) has rapidly become one of the key enabling
technologies for the development of Internet of Things (IoT) architectures. A wide range of …
technologies for the development of Internet of Things (IoT) architectures. A wide range of …
A smart waste classification model using hybrid CNN-LSTM with transfer learning for sustainable environment
Waste collection, classification, and planning have become crucial as industrialization and
smart city advancement activities have increased. A recycling process of waste relies on the …
smart city advancement activities have increased. A recycling process of waste relies on the …
[HTML][HTML] Prioritization of public services for digitalization using fuzzy Z-AHP and fuzzy Z-WASPAS
D Sergi, I Ucal Sari - Complex & Intelligent Systems, 2021 - Springer
In this paper, public services are analyzed for implementations of Industry 4.0 tools to satisfy
citizen expectations. To be able to prioritize public services for digitalization, fuzzy Z-AHP …
citizen expectations. To be able to prioritize public services for digitalization, fuzzy Z-AHP …
[HTML][HTML] Intelligent technologies, enzyme-embedded and microbial degradation of agricultural plastics
This review appraised current research on enzyme-embedded biodegradable agricultural
plastics and microbial degradation, given that the increased use of fossil-fuel-based plastics …
plastics and microbial degradation, given that the increased use of fossil-fuel-based plastics …
[HTML][HTML] Nature-Inspired Search Method and Custom Waste Object Detection and Classification Model for Smart Waste Bin
Waste management is one of the challenges facing countries globally, leading to the need
for innovative ways to design and operationalize smart waste bins for effective waste …
for innovative ways to design and operationalize smart waste bins for effective waste …
[HTML][HTML] A real-time rural domestic garbage detection algorithm with an improved YOLOv5s network model
X Jiang, H Hu, Y Qin, Y Hu, R Ding - Scientific Reports, 2022 - nature.com
An increasing number of researchers are using deep learning technology to classify and
process garbage in rural areas, and have achieved certain results. However, the existing …
process garbage in rural areas, and have achieved certain results. However, the existing …
A vision based approach to localize waste objects and geometric features exaction for robotic manipulation
R Aarthi, G Rishma - Procedia Computer Science, 2023 - Elsevier
The quantity of waste generated is increasing daily, demanding an intelligent waste
management system for effective and timely solutions. Pollution induced by garbage has …
management system for effective and timely solutions. Pollution induced by garbage has …