A review of fake news detection approaches: A critical analysis of relevant studies and highlighting key challenges associated with the dataset, feature representation …

SK Hamed, MJ Ab Aziz, MR Yaakub - Heliyon, 2023 - cell.com
Currently, social networks have become the main source to acquire news about current
global affairs. However, fake news appears and spreads on social media daily. This …

A smart municipal waste management system based on deep-learning and Internet of Things

C Wang, J Qin, C Qu, X Ran, C Liu, B Chen - Waste Management, 2021 - Elsevier
A proof-of-concept municipal waste management system was proposed to reduce the cost of
waste classification, monitoring and collection. In this system, we utilize the deep learning …

Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

JM Górriz, J Ramírez, A Ortiz, FJ Martinez-Murcia… - Neurocomputing, 2020 - Elsevier
Artificial intelligence and all its supporting tools, eg machine and deep learning in
computational intelligence-based systems, are rebuilding our society (economy, education …

A novel framework for trash classification using deep transfer learning

AH Vo, MT Vo, T Le - IEEE Access, 2019 - ieeexplore.ieee.org
Nowadays, society is growing and crowded, the construction of automatic smart waste sorter
machine utilizing the intelligent sensors is important and necessary. To build this system …

[PDF][PDF] A review of hyperspectral imaging-based plastic waste detection state-of-the-arts

O Tamin, EG Moung, JA Dargham, F Yahya… - Int. J. Electr. Comput …, 2023 - academia.edu
Plastic waste issues emerged from the build-up of plastics that negatively impacts the
environment. As a result, plastic waste detection is proposed in many research studies to …

Deep learning approach to recyclable products classification: Towards sustainable waste management

MIB Ahmed, RB Alotaibi, RA Al-Qahtani, RS Al-Qahtani… - Sustainability, 2023 - mdpi.com
Effective waste management and recycling are essential for sustainable development and
environmental conservation. It is a global issue around the globe and emerging in Saudi …

A waste classification method based on a multilayer hybrid convolution neural network

C Shi, C Tan, T Wang, L Wang - Applied Sciences, 2021 - mdpi.com
With the rapid development of deep learning technology, a variety of network models for
classification have been proposed, which is beneficial to the realization of intelligent waste …

Enablers to computer vision technology for sustainable E-waste management

H Sharma, H Kumar, SK Mangla - Journal of Cleaner Production, 2023 - Elsevier
Computer vision technology has led to a robust and reliable e-waste management system
by automating and streamlining waste processing. Computer vision technology offers …

A deep learning-based intelligent garbage detection system using an unmanned aerial vehicle

V Verma, D Gupta, S Gupta, M Uppal, D Anand… - Symmetry, 2022 - mdpi.com
A population explosion has resulted in garbage generation on a large scale. The process of
proper and automatic garbage collection is a challenging and tedious task for developing …

Active learning based federated learning for waste and natural disaster image classification

L Ahmed, K Ahmad, N Said, B Qolomany, J Qadir… - IEEE …, 2020 - ieeexplore.ieee.org
The feasibility of Federated Learning (FL) is highly dependent on the training and inference
capabilities of local models, which are subject to the availability of meaningful and …