A review of fake news detection approaches: A critical analysis of relevant studies and highlighting key challenges associated with the dataset, feature representation …
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 …
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 …
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
Artificial intelligence and all its supporting tools, eg machine and deep learning in
computational intelligence-based systems, are rebuilding our society (economy, education …
computational intelligence-based systems, are rebuilding our society (economy, education …
A novel framework for trash classification using deep transfer learning
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 …
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
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 …
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 …
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 …
classification have been proposed, which is beneficial to the realization of intelligent waste …
Enablers to computer vision technology for sustainable E-waste management
Computer vision technology has led to a robust and reliable e-waste management system
by automating and streamlining waste processing. Computer vision technology offers …
by automating and streamlining waste processing. Computer vision technology offers …
A deep learning-based intelligent garbage detection system using an unmanned aerial vehicle
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 …
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
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 …
capabilities of local models, which are subject to the availability of meaningful and …