Abstract The early detection of SARS-CoV-2, the causative agent (COVID-19) is now a critical task for clinical practitioners. COVID-19 spread announced as pandemic outbreak between people worldwide by WHO since 11/ March/ 2020. In this consequence, it top priority to become aware infected so that prevention procedures can be processed minimize and begin medical health care those persons. paper, deep studying based totally methodology usually recommended patients using X-ray images. help...

This study reviews the common practices and procedures conducted to identify cost drivers that past literature has classified into two main categories: qualitative quantitative procedures. In addition, different computational intelligence (CI) techniques ensemble methods develop practical prediction models. discusses hybridization of these modeling future trends for model development, limitations, recommendations. The focuses on reviewing most artificial (AI) such as fuzzy logic (FL) models,...

This study introduces a pioneering structural equation modeling (SEM)-based framework to assess BIM-DT adoption readiness in sustainable construction. The research’s approach delves into the intricate correlation between key success factors (KSFs) and parameters (SPs), fostering deployment. interdisciplinary perspective provides holistic understanding of impact KSFs on adoption. research aims identify parameters, prioritize their relative weights for implementation, analyze SPs correlations,...

Developing a reliable parametric cost model at the conceptual stage of project is crucial for managers and decision makers. Existing methods, such as probabilistic statistical algorithms have been developed prediction. However, these methods are unable to produce accurate results prediction due small unstable data samples. Artificial intelligence (AI) machine learning (ML) include numerous models supervised regression applications. Therefore, comparative analysis AI required guide...

In mid of March 2020, Coronaviruses such as COVID-19 is declared an international epidemic. More than 125000 confirmed cases and 4,607 death have been recorded around more 118 countries. Unfortunately, a coronavirus vaccine expected to take at least 18 months if it works all. Moreover, COVID -19 epidemics can mutate into aggressive form. Day level information about the spread crucial measure behavior this new virus globally. Therefore, study presents comparison day forecasting models on...

Field Canals Improvement Projects (FCIPs) are a promising project category to preserve irrigation water resources. There multiple approaches available estimate project's initial cost. However, one of the difficulties in developing reliable cost estimation model is determining parameters. The study aims explore and analyse parameters (CPs) achieve conceptual (CCE). This presents that investigates connection between CPs CCE total success (TPS) for FCIPs. accomplished through mixed methods...

Abstract Developing a reliable classification model for drilling pipe stuck is crucial decision-makers in the petroleum rig. Artificial intelligence (AI) includes several machine learning (ML) algorithms that are used efficient predictive analytics, optimization, and decision making. Therefore, comparison analysis ML models required to guide practitioners appropriate model. Twelve techniques such as artificial neural networks, logistic regression, ensemble methods scalable boosting trees...

Abstract Lost circulation and mud losses cause 10 to 20% of the cost drilling operations under extreme pressure temperature conditions. Therefore, this research introduces an integrated system for automated lost severity classification mitigation (ALCSCMS). This proposed allows decision makers reliability predict (LCS) based on a few drivers before starting operations. The developed compared total 11 ensemble machine learning (EML) collection 65,377 observations, data was pre-processed,...

This systematic literature review explores the intersection of AI-driven digital twins and IoT in creating a sustainable building environment. A comprehensive analysis 125 papers focuses on four major themes. First, are examined construction, facility management, their role fostering sustainability smart cities. The integration AI with energy optimization for zero-energy buildings is discussed. Second, application automation manufacturing, particularly Industry 4.0 cyber-physical systems,...

The Fourth Industrial Revolution (4IR) has accelerated the construction industry’s shift toward digital transformation. This progress is mainly driven by emergence of innovative technologies, including artificial intelligence (AI) and twins (DTs). While global research extensively explored benefits challenges AI-based DTs, rapid growth Saudi Arabia’s sector—fueled substantial local investments international partnerships—underscores urgent need to examine their specific impact within this...

A conceptual cost estimation is prepared to assess the feasibility of a project or establish project's initial budget at early stages project. The main objective paper automating estimate stage with highest accuracy. key contribution this developing quadratic regression model prediction accuracy 9.12% and 7.82% for training validation, respectively. This research has identified model's parameters reliable field canal improvement projects (FCIPs). Two machine learning models were developed...

Social media data is unstructured where these big are exponentially increasing day to in many different disciplines. Analysis and understanding the semantics of a challenge due its variety huge volume. To address this gap, Arabic texts have been studied work owing their abundant appearance social Web sites. This addresses difficulty handling texts, particularly when at hand very limited. intelligent augmentation technique that handles problem less availability used. article has proposed...

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 model predict the cost duration of Projects. Therefore, this data paper presents includes key parameters such be used for analyzing modelling duration. The were acquired based on questionnaire survey collecting historical cases consists following features: area served, total length PVC pipe line, number...

Accurate wind speed and power forecasting are key to optimizing renewable station management, which is essential for smart zero-energy cities. This paper presents a novel integrated speed–power system (WSPFS) that operates across various time horizons, demonstrated through case study in high-wind area within the Middle East. The WSPFS leverages 12 AI algorithms both individual ensemble models forecast (WSF) (WPF) at intervals of 10 min 36 h. A multi-horizon prediction approach proposed,...

Developing a reliable parametric cost model at the conceptual stage of project is crucial for projects managers and decision makers. Several methodologies exist to develop model. However, many gaps in current such as depending only on experts 'opinions questionnaire survey identify features, key drivers developing deterministic predictive models without taking uncertainty nature into consideration. The main contribution this study an intelligent methodology predicting stage. proposed can...