A waste management technique to detect and separate non-biodegradable waste using machine learning and YOLO algorithm

A Aishwarya, P Wadhwa, O Owais… - … Conference on Cloud …, 2021 - ieeexplore.ieee.org
This research Paper proposes an application of Image Processing that works on the
principle of machine learning and YOLO (You Only Look Once) algorithm was used to detect …

[HTML][HTML] Application of MobileNetV2 to waste classification

L Yong, L Ma, D Sun, L Du - Plos one, 2023 - journals.plos.org
Today, the topic of waste separation has been raised for a long time, and some waste
separation devices have been installed in large communities. However, the vast majority of …

I nternet of things and machine learning‐based approaches in the urban solid waste management: Trends, challenges, and future directions

LM Joshi, RK Bharti, R Singh - Expert Systems, 2022 - Wiley Online Library
Solid waste management (SWM) is a crucial management entity in urban cities to handle the
waste from its generation to disposal to accomplish a clean environment. The waste …

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 …

Thermoplastic waste segregation classification system using deep learning techniques

MM Subashini, RS Vignesh - Multimedia Tools and Applications, 2024 - Springer
This research proposes a deep learning-based system, named deep CNN architecture, for
the automated classification of the plastic resin in plastic waste. The system aims to detect …

Artificial intelligence based Smart Waste Management—a systematic review

NJ Sinthiya, TA Chowdhury, AKMB Haque - … Intelligence Techniques for …, 2022 - Springer
Smart waste management is an approach that utilizes modern technology to manage waste
materials in effective, efficient, and economical way. Artificial intelligence offers various …

[HTML][HTML] Solid waste generation and disposal using machine learning approaches: a survey of solutions and challenges

A Namoun, A Tufail, MY Khan, A Alrehaili, TA Syed… - Sustainability, 2022 - mdpi.com
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 …

Machine-learning approaches in geo-environmental engineering: Exploring smart solid waste management

A Lakhouit, M Shaban, A Alatawi, SYH Abbas… - Journal of …, 2023 - Elsevier
Over the past few decades, increased attention has been paid to domestic waste (DW)
generation. DW comprises a large percentage of municipal solid waste (MSW), and its …

[HTML][HTML] Intelligent and sustainable waste classification model based on multi-objective beluga whale optimization and deep learning

GI Sayed, M Abd Elfattah, A Darwish… - … Science and Pollution …, 2024 - Springer
Resource recycling is considered necessary for sustainable development, especially in
smart cities where increased urbanization and the variety of waste generated require the …

[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 …