Ozone concentration forecasting based on artificial intelligence techniques: a systematic review

A Yafouz, AN Ahmed, N Zaini, A El-Shafie - Water, Air, & Soil Pollution, 2021 - Springer
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 …

[HTML][HTML] Application of improved version of multi verse optimizer algorithm for modeling solar radiation

RMA Ikram, HL Dai, AA Ewees, J Shiri, O Kisi… - Energy Reports, 2022 - Elsevier
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 …

Water and wastewater quality prediction: current trends and challenges in the implementation of artificial neural network

AR Jadhav, PD Pathak, RY Raut - Environmental Monitoring and …, 2023 - Springer
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 …

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 …

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 …

[HTML][HTML] Mechanical behaviour of E-waste aggregate concrete using a novel machine learning algorithm: Multi expression programming (MEP)

S Shah, M Houda, S Khan, F Althoey… - Journal of Materials …, 2023 - Elsevier
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 …

Modelling biochemical oxygen demand in a large inland aquaculture zone of India: Implications and insights

TV Nagaraju, GS Bala, S Bonthu, S Mantena - Science of the Total …, 2024 - Elsevier
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 …

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 …

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 …

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 …