Inteligencia artificial
Inteligencia artificial
Información de inteligencia artificial.
Data on Field Canals Improvement Projects for Cost Prediction Using Artificial Intelligence
19/05/2020 -
Field Canals Improvement Projects is an important sustainable project to save fresh water in our world. Machine learning and artificial intelligence (AI) needs sufficient dataset size to model and...
Applied artificial intelligence for predicting construction projects delay
25/09/2021 -
This study presents evidence of a developed ensemble of ensembles predictive model for delay prediction – a global phenomenon that has continued to strangle the construction sector despite...
Developing a novel artificial intelligence model to estimate the capital cost of mining projects using deep neural network-based ant colony optimization algorithm
03/02/2020 -
This study aims to propose a novel artificial intelligence model for forecasting the capital cost (CC) of open-pit mining projects with high accuracy. It is a unique combination of a deep neural...
A comparative study of Artificial Intelligence methods for project duration forecasting
21/10/2015 -
This paper presents five Artificial Intelligence (AI) methods to predict the final duration of a project. A methodology that involves Monte Carlo simulation, Principal Component Analysis and...
Optimized artificial intelligence models for predicting project award price
07/04/2015 -
Bridges are essential components of transportation systems. The bidding process is the main determinant of whether a contractor is commissioned to complete a construction project. Therefore,...
Artificial intelligence approaches to achieve strategic control over project cash flows
26/11/2008 -
The ability over the course of a construction project to make reliable predictions regarding cash flows enhances project cost management. This paper uses artificial intelligence (AI) approaches to...
Evaluation on the impact of digital transformation on the economic resilience of the energy industry in the context of artificial intelligence
15/12/2022 -
In recent years, the energy industry based on energy resources has achieved rapid development, but under the background of green development strategy, traditional energy companies are also in...
Artificial intelligence on economic evaluation of energy efficiency and renewable energy technologies
11/06/2021 -
The energy sector currently faces growing challenges related to increasing demand, efficiency, a lack of analytics required for optimal management, and changing supply and demand patterns....
The nature of the Artificially Intelligent Firm - An economic investigation into changes that AI brings to the firm
28/03/2020 -
With the arrival of Artificial Intelligence (AI), the nature of the firm is changing and economic theory can provide guidance to businesses as well as to politics when formulating adequate...
Implementing challenges of artificial intelligence: Evidence from public manufacturing sector of an emerging economy
01/10/2021 -
The growing Artificial Intelligence (AI) age has been flooded with several innovations in algorithmic machine learning that may bring significant impacts to industries such as healthcare,...
Failure of AI projects: understanding the critical factors
10/01/2022 -
Adoption of artificial intelligence (AI) has risen sharply in recent years but many firms are not successful in realising the expected benefits or even terminate projects before completion. While...
An effective approach for software project effort and duration estimation with machine learning algorithms
28/11/2017 -
During the last two decades, there has been substantial research performed in the field of software estimation using machine learning algorithms that aimed to tackle deficiencies of traditional...
On-demand monitoring of construction projects through a game-like hybrid application of BIM and machine learning
27/11/2019 -
While unavoidable, inspections, progress monitoring, and comparing as-planned with as-built conditions in construction projects do not readily add tangible intrinsic value to the end-users. In...
Predicting long-time contributors for GitHub projects using machine learning
10/05/2021 -
Many organizations develop software systems using open source software (OSS), which is risky due to the high possibility of losing support. Contributors are critical for the survival of OSS...
The impact of entrepreneurship orientation on project performance: A machine learning approach
15/01/2020 -
Recent studies in project management have shown the important role of entrepreneurship orientation of the individuals in project performance. Although identifying the role of entrepreneurship...
Optimized machine learning modelling for predicting the construction cost and duration of tunnelling projects
11/05/2022 -
Predicting duration and cost of tunnelling projects is an essential factor in determining the usefulness of a decision-making system. Therefore, research on the duration and cost of tunnels'...
Prediction of Risk Percentage in Software Projects by Training Machine Learning Classifiers
07/08/2021 -
Recently, software project failures have been increasing due to lack of planning and budget constraints. In this regard, identifying the suitable software model with the consideration of risk...
Machine learning-based cost predictive model for better operating expenditure estimations of U.S. light rail transit projects
11/04/2022 -
Inaccurate forecasts of operating expenditures (OPEX) during the planning phase for new Light Rail Transit (LRT) projects in the United States underestimated future costs by up to 45% (Harmatuck,...
Machine learning based success prediction for crowdsourcing software projects
20/04/2021 -
Competitive Crowdsourcing Software Development is an online software development paradigm, promises the innovative, cost effective and high quality solutions on time. However, the paradigm is...
Harnessing the power of machine learning analytics to understand food systems dynamics across development projects
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Advances in machine learning and Big Data research offer great potential for international development agencies to leverage the vast information generated from accountability mechanisms to gain...
Estimation of Risk Contingency Budget in Projects using Machine Learning
26/10/2022 -
To manage risks against unexpected cost overruns, project teams use Contingency Budget (CB). Its accurate estimation has been a subject of multiple studies proposing either deterministic or...