Ozone concentration forecasting based on artificial intelligence techniques: a systematic review
The prediction of tropospheric ozone concentrations is vital due to ozone's passive impacts
on atmosphere, people's health, flora and fauna. However, ozone prediction is a complex …
on atmosphere, people's health, flora and fauna. However, ozone prediction is a complex …
[HTML][HTML] Application of improved version of multi verse optimizer algorithm for modeling solar radiation
For better estimation of renewable environmental friendly and carbon-free energy resources,
precise prediction of solar energy is very essential. However, accurate prediction of solar …
precise prediction of solar energy is very essential. However, accurate prediction of solar …
Water and wastewater quality prediction: current trends and challenges in the implementation of artificial neural network
Traditional freshwater supplies have been over-abstracted in the current global problem of
water scarcity. Through the analysis of complex experimental and real-time data, to improve …
water scarcity. Through the analysis of complex experimental and real-time data, to improve …
A machine learning model for torsion strength of externally bonded FRP-reinforced concrete beams
A Deifalla, NM Salem - Polymers, 2022 - mdpi.com
Strengthening of reinforced concrete (RC) beams subjected to significant torsion is an
ongoing area of research. In addition, fiber-reinforced polymer (FRP) is the most popular …
ongoing area of research. In addition, fiber-reinforced polymer (FRP) is the most popular …
A financial fraud detection model based on LSTM deep learning technique
Y Alghofaili, A Albattah, MA Rassam - Journal of Applied Security …, 2020 - Taylor & Francis
As the use of the internet is growing exponentially, more and more businesses such as the
financial sector are operationalizing their services online. Consequently, financial frauds are …
financial sector are operationalizing their services online. Consequently, financial frauds are …
[HTML][HTML] Mechanical behaviour of E-waste aggregate concrete using a novel machine learning algorithm: Multi expression programming (MEP)
Technological advancement encourages the usage of electronic appliances in daily life and
makes it possible for users to switch to more advanced devices very easily and at a …
makes it possible for users to switch to more advanced devices very easily and at a …
Modelling biochemical oxygen demand in a large inland aquaculture zone of India: Implications and insights
Water quality surveillance is tough, and a specific timely management is necessary for the
inland aquaculture ponds and ecology as well. Real time quality monitoring involves the …
inland aquaculture ponds and ecology as well. Real time quality monitoring involves the …
Electrocatalytic ammonia oxidation mediated by nickel and copper crystallites decorated with platinum nanoparticle (PtM/G, M= Cu, Ni)
SS Prabowo Rahardjo, YJ Shih - ACS Sustainable Chemistry & …, 2022 - ACS Publications
The nickel (Ni) and copper (Cu) oxides decorated with Pt nanoparticles (Pt NPs) were
synthesized via electrodeposition for direct ammonia electro-oxidation. Voltammetry results …
synthesized via electrodeposition for direct ammonia electro-oxidation. Voltammetry results …
Modeling the effect of climate change scenarios on water quality for tropical reservoirs
A Quevedo-Castro, YA Bustos-Terrones… - Journal of …, 2022 - Elsevier
Impact of natural phenomena and anthropogenic activities on water quality is closely related
with temperature increase and global warming. In this study, the effects of climate change …
with temperature increase and global warming. In this study, the effects of climate change …
Comprehensive comparison of various machine learning algorithms for short-term ozone concentration prediction
A Yafouz, N AlDahoul, AH Birima, AN Ahmed… - Alexandria Engineering …, 2022 - Elsevier
Ozone (O3) is one of the common air pollutants. An increase in the ozone concentration can
adversely affect public health and the environment such as vegetation and crops. Therefore …
adversely affect public health and the environment such as vegetation and crops. Therefore …