An optimal and smart E-waste collection using neural network based on sine cosine optimization

S Ravi, S Venkatesan… - Neural Computing and …, 2024 - Springer
Electronic waste (e-waste) is considered a major issue that our world is tackling nowadays.
This electronic waste causes various health issues to animals as well as human beings …

A Multi-Task Learning-Based Model for Gas Classification and Concentration Prediction

Y Dai, Y Xiong, H Lin, Y Li, Y Feng, W Luo… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
The electronic nose is an advanced technology that emulates the human olfactory system,
aiming to simulate and interpret odors and gas components. With the increasing demand for …

An Intelligent Hazardous Waste Detection and Classification Model Using Ensemble Learning Techniques.

M Al Duhayyim, SS Alotaibi… - Computers …, 2023 - search.ebscohost.com
Proper waste management models using recent technologies like computer vision, machine
learning (ML), and deep learning (DL) are needed to effectively handle the massive quantity …

Systematic literature review of deep learning models in solid waste management

M Anjum, MS Umar, S Shahab - AIP Conference Proceedings, 2022 - pubs.aip.org
Solid waste management (SWM) has received significantly more attention in recent years,
especially in developing countries for sustainable development. SWM system encompasses …

Predicting Cost of Municipal Waste Management using IoT Data and Machine Learning

G Davrazos, T Panagiotakopoulos… - … & Applications (IISA), 2023 - ieeexplore.ieee.org
Internet of Things (IoT) technologies have been proliferated as a solution able to deliver on
the promise of efficient waste management. Their application has been explored in various …

Machine Learning‐Based Solutions for Internet of Things‐Based Applications

V Bhatia, B Bhatia - Automated Secure Computing for Next …, 2024 - Wiley Online Library
The growth of Internet‐connected sensory devices, known as the Internet of Things (IoT),
has led to the development of a range of services and applications across various sectors …

Ingenious Waste Management: Implementing Machine Learning in Waste Segregation

V Asha, B Nithya, M Govindaraj… - … on Emerging Smart …, 2024 - ieeexplore.ieee.org
Waste management is a pressing global issue, and the need for efficient waste separation
processes is becoming increasingly important. Incorporating Machine Learning techniques …

Deep Learning Approach to Deal with E-Waste

M Naushin, A Saraswat, K Abhishek - Advanced Machine Intelligence and …, 2022 - Springer
For the development of smart cities, electronic waste generation is one of the significant
issues to tackle. According to the United Nations, India is the third-largest e-waste generator …

[HTML][HTML] Introduction of IoT-Based Surrogate Parameters in the Ex-Post Countermeasure of Industrial Sectors in Integrated Permit Policy

JH Park, PG Kang, E Kim, TW Kim, G Kim, H Seok… - Sustainability, 2021 - mdpi.com
New approaches and techniques are required for environmental management in
workplaces that emit pollutants. The best available techniques (BATs) that are suggested by …

Secure and Energy-Efficient Framework for Internet of Medical Things (IoMT)-Based Healthcare System

R Dewan, T Nagpal, S Ahmad, AK Rana… - … Conference on Data …, 2023 - Springer
Abstract Manufacturing, energy, finance, education, transportation, smart home, and
medicine employ IoT technology. IoT solutions can efficiently manage hospital patients and …