The last state of artificial intelligence in project management

MR Davahli - arXiv preprint arXiv:2012.12262, 2020 - arxiv.org
Artificial intelligence (AI) has been used to advance different fields, such as education,
healthcare, and finance. However, the application of AI in the field of project management …

Global sensitivity analysis of a generator-absorber heat exchange (GAX) system's thermal performance with a hybrid energy source: An approach using artificial …

V Cardoso-Fernández, A Bassam, OM Tzuc… - Applied Thermal …, 2023 - Elsevier
Generator-absorber heat exchange (GAX) systems represent a promising alternative to
substitute environmentally harmful refrigeration devices based on conventional vapor …

Shear resistance prediction of post-fire reinforced concrete beams using artificial neural network

B Cai, LF Xu, F Fu - International Journal of Concrete Structures and …, 2019 - Springer
In this paper, a prediction method based on artificial neural network was developed to
rapidly determine the residual shear resistance of reinforced concrete (RC) beams after fire …

An Automated Pipeline for Image Processing and Data Treatment to Track Activity Rhythms of Paragorgia arborea in Relation to Hydrographic Conditions

A Zuazo, J Grinyó, V López-Vázquez, E Rodríguez… - Sensors, 2020 - mdpi.com
Imaging technologies are being deployed on cabled observatory networks worldwide. They
allow for the monitoring of the biological activity of deep-sea organisms on temporal scales …

A tentative framework for risk and opportunity detection in a collaborative environment based on data interpretation

F Benaben, B Montreuil, J Gou, J Li… - HICSS 52-52nd …, 2019 - imt-mines-albi.hal.science
This article deals with the question of risk and opportunity identification based on data
management as one main step of the convergence of artificial intelligence and industrial …

Modeling on microclimatic variation of land surface temperature and vegetation cover at Rangpur City in Bangladesh

Hasnahena, SC Sarker, MS Islam, MZ Rahman… - Modeling Earth Systems …, 2023 - Springer
Land surface temperature (LST) and vegetation cover are essential in all environmental
aspects. Understanding the spatiotemporal variation of LST and vegetation abundance is …

[PDF][PDF] Development of a hybrid artificial neural network method for evaluation of the sustainable construction projects.

HW Albasri, S Naimi - Acta Logistica (AL), 2023 - actalogistica.eu
Effective project management ensures that both the needs of the client and the business are
satisfied. A successful project accomplishes its goals while staying within its allotted budget …

Prediction of Malaysian women divorce using machine learning techniques

A Afthanorhan, A Mahmud, A Sapri… - Malaysian Journal …, 2022 - myjms.mohe.gov.my
This paper discusses the performance of three machine learning techniques namely
Decision Tree, Logistic Regression and Artificial Neural Network for predicting divorce …

A Data‐Driven Artificial Neural Network Approach to Software Project Risk Assessment

MN Alatawi, S Alyahyan, S Hussain… - IET …, 2023 - Wiley Online Library
In the realm of software project management, predicting and mitigating risks are pivotal for
successful project execution. Traditional risk assessment methods have limitations in …

[PDF][PDF] Prediction of concrete compressive strength using supervised machine learning models through ultrasonic pulse velocity and mix parameters

OM Albuthbahak, AAMR Hiswa - Revista Romana de Materiale, 2019 - academia.edu
As a non-destructive technique for concrete compressive strength assessment for existing
concrete structures, Ultrasonic Pulse Velocity (UPV) test method has been widely used …