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Integrated TOPSIS-COV approach for selecting a sustainable PET waste management technology: A case study in Qatar
(
Elsevier
, 2022 , Article)
In 2018, the global annual consumption of Polyethylene terephthalate (PET) bottles was approximately 27.64 million tons, with one million bottles sold worldwide every minute. Unmanaged PET bottles in the environment lead ...
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Artificial intelligence (AI) has witnessed a substantial breakthrough in a variety of Internet of Things (IoT) applications and services, spanning from recommendation systems and speech processing applications to robotics ...
A Review and Analysis of the Effects of Colors of Light On the Performance of Solar Photovoltaic Panels
(
Penerbit UTHM
, 2022 , Article)
Solar energy is quite simple as the energy can be obtained from the sun directly. Solar energy is categorized as one of the best renewable energy since it does not emit carbon dioxide and because of unlimited supports from ...
Data analytics platforms for agricultural systems: A systematic literature review
(
Elsevier
, 2022 , Article Review)
With the rapid developments in ICT, the current agriculture businesses have become increasingly data-driven and are supported by advanced data analytics techniques. In this context, several studies have investigated the ...
Single-Cell RNA Sequencing with Spatial Transcriptomics of Cancer Tissues
(
MDPI
, 2022 , Article Review)
Single-cell RNA sequencing (RNA-seq) techniques can perform analysis of transcriptome at the single-cell level and possess an unprecedented potential for exploring signatures involved in tumor development and progression. ...
Machine learning-based multi-target regression to effectively predict turning movements at signalized intersections
(
Elsevier
, 2022 , Article)
Effective prediction of turning movement counts at intersections through efficient and accurate methods is essential and needed for various applications. Commonly predictive methods require extensive data collection, ...
Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions
(
Elsevier Ltd
, 2022 , Article Review)
Recently, numerous forecasting models have been reported in the wind power forecasting field, aiming for reliable integration of renewable energy into the electric grid. Decomposition-based hybrid models have gained ...
A comparative analysis to forecast carbon dioxide emissions
(
Elsevier Ltd
, 2022 , Article)
Despite the growing knowledge and commitment to climate change, carbon dioxide (CO2) emissions continue to rise dramatically throughout the planet. In recent years, the consequences of climate change have become more ...
Modelling fatigue uncertainty by means of nonconstant variance neural networks
(
Wiley
, 2022 , Article)
The modelling of fatigue using machine learning (ML) has been gaining traction in the engineering community. Among ML techniques, the use of probabilistic neural networks (PNNs) has recently emerged as a candidate for ...
Lightweight End-to-End Deep Learning Solution for Estimating the Respiration Rate from Photoplethysmogram Signal
(
MDPI
, 2022 , Article)
Respiratory ailments are a very serious health issue and can be life-threatening, especially for patients with COVID. Respiration rate (RR) is a very important vital health indicator for patients. Any abnormality in this ...