Upcycling biowaste into advanced carbon materials via low-temperature plasma hybrid system: applications, mechanisms, strategies and future prospects
This review focuses on the recent advances in the sustainable conversion of biowaste to
valuable carbonaceous materials. This study summarizes the significant progress in …
valuable carbonaceous materials. This study summarizes the significant progress in …
[HTML][HTML] Turning trash into treasure: Exploring the potential of AI in municipal waste management-An in-depth review and future prospects
A Samadhiya, A Kumar, E Mulat-weldemeskel… - Journal of …, 2025 - Elsevier
Rapid urbanization, economic expansion, and population growth have increased waste
generation in many nations worldwide. Research on municipal waste management (MWM) …
generation in many nations worldwide. Research on municipal waste management (MWM) …
[HTML][HTML] Optimizing waste handling with interactive AI: Prompt-guided segmentation of construction and demolition waste using computer vision
Optimized and automated methods for handling construction and demolition waste (CDW)
are crucial for improving the resource recovery process in waste management. Automated …
are crucial for improving the resource recovery process in waste management. Automated …
[HTML][HTML] Synergistic Effects of Waste Glass Powder, High-Frequency Ultrasonic Dispersion, and Liquid Glass Treatment on the Properties of Aluminum-Based Ultra …
This research investigates the impact of waste glass powder, high-frequency ultrasonics
(HFUS) dispersion, and liquid glass treatment on aluminum-based ultra-lightweight …
(HFUS) dispersion, and liquid glass treatment on aluminum-based ultra-lightweight …
[HTML][HTML] Machine vision-based detection of forbidden elements in the high-speed automatic scrap sorting line
T Jurtsch, J Moryson, G Wiczyński - Waste Management, 2024 - Elsevier
Highly efficient industrial sorting lines require fast and reliable classification methods.
Various types of sensors are used to measure the features of an object to determine which …
Various types of sensors are used to measure the features of an object to determine which …
A comprehensive review on solid waste management in Morocco: assessment, challenges and potential transition to a circular economy
T Louzizi, E Chakir, Z Sadoune - Euro-Mediterranean Journal for …, 2024 - Springer
Efficient solid waste management is vital for improving environmental quality and public
health by reducing pollution, protecting ecosystems, and minimizing waste accumulation. In …
health by reducing pollution, protecting ecosystems, and minimizing waste accumulation. In …
Enhancing Machine Learning Innovative Model for Waste Management: A Focus on Data Preprocessing and Labeling
A Lawi, S Sholikun, IM Reza, FO Saputra… - Available at SSRN … - papers.ssrn.com
Efficient waste management is essential for sustainability and urban planning, especially
with increasing waste complexity. While traditional methods often rely on manual processes …
with increasing waste complexity. While traditional methods often rely on manual processes …
[PDF][PDF] Leveraging Predictive Models to Enhance Infection Control and Reduce Cross-Contamination in Public Health Settings.
U Palla, MGC Iwunwa - researchgate.net
Infection control and the reduction of cross-contamination in public health settings are critical
components of global healthcare strategies aimed at curbing the spread of infectious …
components of global healthcare strategies aimed at curbing the spread of infectious …
[PDF][PDF] WASTE CLASSIFICATION USING EFFICIENT NEURAL NETWORKS AND WEB APPLICATION.
DC PUCHIANU - Scientific Papers. Series E. Land …, 2024 - landreclamationjournal.usamv.ro
The integration of convolutional neural networks and modern web applications can
significantly improve the efficiency of recycling processes. Accurate, rapid identification and …
significantly improve the efficiency of recycling processes. Accurate, rapid identification and …