Optimized deep learning-based e-waste management in IoT application via energy-aware routing

P Ramya, V Ramya, M Babu Rao - Cybernetics and Systems, 2023 - Taylor & Francis
Recycling, reusing, and reducing electronic garbage (E-waste) may be the sole methods for
managing E-waste in use today. In essence, there is no ideal method of managing E-waste …

E-waste management using hybrid optimization-enabled deep learning in IoT-cloud platform

P Ramya, V Ramya - Advances in Engineering Software, 2023 - Elsevier
Electronic waste (E-waste) is generated at a quick pace due to technological expansion and
thereby reducing the obsolescence age of electrical and electronic equipment (EEE). This …

Dynamic convolutional neural network based e‐waste management and optimized collection planning

CJ Latha, K Kalaiselvi, S Ramanarayan… - Concurrency and …, 2022 - Wiley Online Library
Electronic waste, also known as e‐waste, refers to electrical or electronic devices that are
discarded from households and workplaces. These used e‐wastes are meant to be …

Design and development of smart Internet of Things–based solid waste management system using computer vision

SS Mookkaiah, G Thangavelu, R Hebbar… - … Science and Pollution …, 2022 - Springer
Municipal solid waste (MSW) management currently requires critical attention in ensuring
the best principles of socio-economic attributes such as environmental protection, economic …

Efficient future waste management: a learning-based approach with deep neural networks for smart system (LADS)

R Chauhan, S Shighra, H Madkhali, L Nguyen… - Applied Sciences, 2023 - mdpi.com
Waste segregation, management, transportation, and disposal must be carefully managed to
reduce the danger to patients, the public, and risks to the environment's health and safety …

[Retracted] A Novel Strategy for Waste Prediction Using Machine Learning Algorithm with IoT Based Intelligent Waste Management System

G Uganya, D Rajalakshmi… - Wireless …, 2022 - Wiley Online Library
Internet of Things (IoT) has now become an embryonic technology to elevate the whole
sphere into canny cities. Hasty enlargement of smart cities and industries leads to the …

Cognitive cloud framework for waste dumping analysis using deep learning vision computing in healthy environment

J Liu, AS Prabuwono, AW Abulfaraj, S Miniaoui… - Computers and …, 2023 - Elsevier
Increased population and usage of more unnatural particles create dangerous waste in
society. Environmental Sustainability is ensured based on proper waste management …

Designing of IoT-based smart waste sorting system with image-based deep learning applications

C Sirawattananon, N Muangnak… - 2021 18th International …, 2021 - ieeexplore.ieee.org
With an increase in population, there is an exponential increase in the amount of waste
produced. This waste contains a high percentage of plastic that can be recycled. It is …

A CNN-based smart waste management system using TensorFlow lite and LoRa-GPS shield in Internet of Things environment

NCA Sallang, MT Islam, MS Islam, H Arshad - IEEE Access, 2021 - ieeexplore.ieee.org
Urban areas are facing challenges in waste management systems due to the rapid growth of
population in cities, causing huge amount of waste generation. As traditional waste …

Optimizing E-waste management: Deep learning classifiers for effective planning

S Selvakanmani, P Rajeswari, BV Krishna… - Journal of Cleaner …, 2024 - Elsevier
E-waste demands urgent attention to devise effective and sustainable waste management
solutions. In response to this challenge, the integration of deep learning classifiers emerges …