Modified rat swarm optimization with deep learning model for robust recycling object detection and classification

N Alruwais, E Alabdulkreem, M Khalid, N Negm… - Sustainable Energy …, 2023 - Elsevier
Biomass residues consist of sewage effluents and sludges, crop wastes, non-recyclable
municipal solid waste industrial and domestic greywater, and much more. Recycling is …

Metaheuristics with deep transfer learning enabled detection and classification model for industrial waste management

S Neelakandan, M Prakash, BT Geetha, AK Nanda… - Chemosphere, 2022 - Elsevier
Rapid industrialization has led to the generation of a considerable amount of waste, both
solid and liquid, in industrial fields like food processing, sugar, pulp, sago or starch, dairies …

[PDF][PDF] Deep Reinforcement Learning Enabled Smart City Recycling Waste Object Classification.

MA Duhayyim, TA Elfadil Eisa… - … , Materials & Continua, 2022 - academia.edu
The Smart City concept revolves around gathering real time data from citizen, personal
vehicle, public transports, building, and other urban infrastructures like power grid and waste …

[PDF][PDF] Artificial intelligence with earthworm optimization assisted waste management system for smart cities

J Rajalakshmi, K Sumangali, J Jayanthi… - Glob. NEST …, 2023 - journal.gnest.org
In recent days, massive quantity of waste materials gets considerable increased with
increasing population. Proper management of waste materials becomes essential to reduce …

Automated biomass recycling management system using modified grey wolf optimization with deep learning model

SA Althubiti, SK Sen, MA Ahmed, EL Lydia… - Sustainable Energy …, 2023 - Elsevier
Biomass residues encompass non-recyclable municipal solid waste, crop wastes, sewage
effluents and sludges, domestic and industrial greywater, etc. Numerous wastes to energy …

[HTML][HTML] Deep learning-based small object detection and classification model for garbage waste management in smart cities and iot environment

FS Alsubaei, FN Al-Wesabi, AM Hilal - Applied Sciences, 2022 - mdpi.com
In recent years, object detection has gained significant interest and is considered a
challenging problem in computer vision. Object detection is mainly employed for several …

Chasing Pelican based Deep Learning for Multiple Object Detection from Single Input Trash Image

A Hingmire, U Pujeri - Multimedia Tools and Applications, 2024 - Springer
Waste management is essential for developing a smart city to enhance the population's
living standards. Harmonious and healthy living environments are achieved through waste …

Recycling waste classification using emperor penguin optimizer with deep learning model for bioenergy production

AI Khan, ASA Alghamdi, YB Abushark, F Alsolami… - Chemosphere, 2022 - Elsevier
The growth and implementation of biofuels and bioenergy conversion technologies play an
important part in the production of sustainable and renewable energy resources in the …

A Lightweight Deep Learning Algorithm for Multi-Objective Detection of Recyclable Domestic Waste

Q Wu, T Liang, H Fang, Y Wei, M Wang… - Environmental …, 2023 - liebertpub.com
In light of the rapid development of human society, there has been a notable surge in waste
production, which has resulted in environmental pollution and degradation. This is a …

[PDF][PDF] Deep Consensus Network for Recycling Waste Detection in Smart Cities.

MA Hamza, HA Mengash, N Negm… - … Materials & Continua, 2023 - cdn.techscience.cn
Recently, urbanization becomes a major concern for developing as well as developed
countries. Owing to the increased urbanization, one of the important challenging issues in …