Artificial intelligence accuracy assessment in NO2 concentration forecasting of metropolises air

SR Shams, A Jahani, S Kalantary, M Moeinaddini… - Scientific Reports, 2021 - nature.com
Air quality has been the main concern worldwide and Nitrous oxide (NO2) is one of the
pollutants that have a significant effect on human health and environment. This study was …

An application of artificial intelligence techniques in prediction of birds soundscape impact on tourists' mental restoration in natural urban areas

A Jahani, S Kalantary, A Alitavoli - Urban Forestry & Urban Greening, 2021 - Elsevier
The characteristics of birds' sounds assume a primary role in tourists' mental restoration and
stress recovery. The aim of this research is the evaluation of birds' sound composition in …

MLR and Ann approaches for prediction of synthetic/natural nanofibers diameter in the environmental and medical applications

S Kalantary, A Jahani, R Jahani - Scientific reports, 2020 - nature.com
Fiber diameter plays an important role in the properties of electrospinning of nanofibers.
However, one major problem is the lack of a comprehensive method that can link processing …

Environmental modeling of landscape aesthetic value in natural urban parks using artificial neural network technique

A Jahani, S Allahverdi, M Saffariha, A Alitavoli… - Modeling Earth Systems …, 2022 - Springer
An accurate assessment of the landscapes in a region requires having sufficient information
of the influential factors as well as the type, manner, and the impact rate of each of them on …

Seed germination prediction of Salvia limbata under ecological stresses in protected areas: an artificial intelligence modeling approach

M Saffariha, A Jahani, D Potter - BMC ecology, 2020 - Springer
Background Salvia is a large, diverse, and polymorphous genus of the family Lamiaceae,
comprising about 900 ornamentals, medicinal species with almost cosmopolitan distribution …

[PDF][PDF] Material Today Proceedings

A Jain, AK Yadav, Y Shrivastava - 2019 - researchgate.net
In this paper, the estimation capacities of Artificial Neural Network (ANN) and Multiple Linear
Regression (MLR) are examined to forecast temperature at two pressure level 400 hPa and …

Prediction of temperature for various pressure levels using ANN and multiple linear regression techniques: A case study

S Jain, S Rathee, A Kumar, A Sambasivam… - Materials Today …, 2022 - Elsevier
In this paper, the estimation capacities of Artificial Neural Network (ANN) and Multiple Linear
Regression (MLR) are examined to forecast temperature at two pressure level 400 hPa and …

The assessment of injury risk in the healthcare sector via integrating motion tracking techniques with digital human modelling ergonomic tools

X Ji, J Hernandez, E Schweitzer… - … Journal of Human …, 2023 - inderscienceonline.com
An advanced fusion technology has been investigated to evaluate the injury risk in the
healthcare sector by integrating a motion tracking system with digital human modelling …

Posture evaluation for the full-body dynamic simulation in JACK Siemens PLM

X Ji, S Tiari - International Journal of Human Factors and …, 2022 - inderscienceonline.com
The objective of this study is to evaluate the accuracy of predicted postures in JACK
Siemens software via comparing with the actual human movement recorded by the Xsens …

The relationship between Lifestyle and Mental Workload with the Prevalence of Musculoskeletal Discomfort: A Case Study in the Automotive Industry

M Nourollahi-darabad, D Afshari… - Journal of Occupational …, 2022 - johe.umsha.ac.ir
Materials and Methods: This cross-sectional study was conducted on 303 employees
working in a car manufacturing complex in Iran. The required data related to demographic …