Image retrieval often begins with candidate generation, where a small subset of database images is selected for subsequent reranking or inspection. Standard multi-table p-stable locality-sensitive hashing (LSH) is a classical solution for this stage,...
We study prediction intervals for the semi-functional partial linear model (SFPLM) under stationary, geometrically
Multistatic forward-looking synthetic aperture radar (Mu-FLSAR) has the potential of high-resolution imaging with short synthetic aperture time, which can improve the transmitter’s survivability, by coherently fusing simultaneously observed mea...
In dynamic propagation environments, beamforming algorithms may suffer from strong interference, steering vector mismatches, a low convergence speed and a high computational complexity. Reduced-rank signal processing techniques provide a way to addre...
Cannabidiol (CBD) hemp seed oil is a commercial raw material with antioxidant and anti-inflammatory benefits that has been formulated into body wash and skin care products. The biggest analytical challenge is how to simultaneously quantify CBD and he...
In the realm of quantitative proteomics, data-independent acquisition (DIA) has emerged as a promising approach, offering enhanced reproducibility and quantitative accuracy compared to traditional data-dependent acquisition (DDA) methods. However, th...
Traumatic brain injury (TBI) is one of the leading causes of acquired epilepsy, with a significant proportion of patients developing post-traumatic epilepsy (PTE) even months or years after the initial injury. The identification of reliable imaging b...
This study aims to explore the influence of project size on the Energy and Atmosphere (EA) credits in the Leadership in Energy and Environmental Design for New Construction and Major Renovations (LEED-NC) version 3 (v3) in California and version 4 (v...
The Green Climate Fund (GCF) is mandated to undertake evidence-based and impactful climate change mitigation/adaptation projects in vulnerable countries. However, project effectiveness has often been questioned by some experts and countries. This stu...
The objective of this case study was to examine how the planned city of NEOM in Saudi Arabia can contribute to the country’s economy and sustainability goals. The case study was intended to assess the challenges of planned city projects through...
In recent years, two of the largest open-source ground station (GS) networks capable of enabling Earth–satellite communication have emerged: TinyGS and SatNOGS. These open-source projects enable anyone to build their own GS inexpensively and ea...
This work aims to evaluate future water availability in the Mékrou catchment under climate change scenarios. To reach this goal, data from Regional Climate Models (RCMs) were used as the input for four rainfall-runoff models which are ModHyPMA (Hydro...
Managing software development processes is still a serious challenge and offers the possibility of introducing improvements that will reduce the resources needed to successfully complete projects. The article presents the original concept of classifi...
Project selection is a common problem for many companies. Specifically, it consists in identifying which projects should be selected with regard to their economic efficiency, i.e., the projects that maximise the profit they bring in while minimising...
Project governance (PG) has been primarily acknowledged as critical by researchers and practitioners in regard to successfully executing projects. However, project governance of public projects has received less attention from researchers. Therefore,...
The urgent need to improve performance in the construction industry has led to the adoption of many innovative technologies. 3D laser scanners are amongst the leading technologies being used to capture and process assets or construction project data...
The objective of cross-project defect prediction (CPDP) is to develop a model that trains bugs on current source projects and predicts defects of target projects. Due to the complexity of projects, CPDP is a challenging task, and the precision estima...
Feature extraction effectively captures meaningful information from raw signals or data to improve the accuracy and real-time performance of detection, classification, and prediction. The selection of an effective discriminant projection method is cr...
“Dynamic projection mapping” is a variation of the best-known “projection mapping”. It considers the perceptual analysis of the urban landscape in which the video projection and the observer’s displacement speed are hypothesized. This latter, in part...
The engineering projects sector has presented numerous challenges in achieving success. The need arises to understand the reasons for these challenges and determine the best way to address the issues and achieve success using the best approach. This...
This study examines cost and schedule deviations in secondary road infrastructure projects in Colombia, with a focus on the influence of public procurement characteristics. Despite the construction sector’s importance to national development, l...
One common problem in the construction industry is project cost overrun. Cost overrun can have significant impacts on financial profitability, project completion, project quality, and stakeholder satisfaction. The average percentage of construction p...
Risks and uncertainties are inevitable in construction projects and can drastically change the expected outcome, negatively impacting the project’s success. However, risk management (RM) is still conducted in a manual, largely ineffective, and...
The construction industry is considered a driver of economic growth, especially in developing countries. However, the successful completion of construction projects is a major challenge, due to the lack of competencies. The current study explores the...
Computed tomography is a versatile imaging technique used to enable seeing internal structures of objects without opening or destroying them. This is possible through a process called tomographic reconstruction, which reconstructs images from project...
Tompalski et al. (2018) propose “template matching” as a (required) intermediate step to use remote sensing-based predictions of forest attributes as inputs of the Growth and Yield Projection System (GYPSY) for the simulations of forest s...
The increasing complexity of scientific research projects and growing competition for public funding require data-driven approaches to support evidence-based decision-making in research management. This paper presents an integrated machine learning-b...
The Sustainable Development Goals (SDGs) aim to create a sustainable future by considering environmental, social, and economic elements from a holistic perspective. Instilling these goals in individuals through education is critically important for i...
Open source software (OSS) programs are adopted as embedded systems regarding their server usage, due to their quick delivery, cost reduction, and standardization of systems. Many OSS programs are developed using the peculiar style known as the bazaa...
Planning for the eventual electrification of transport in sub-Saharan Africa requires accurate simulation of its unique transport systems. The few studies that attempt to model electric minibus taxis—vehicles extensively used in sub-Saharan Afr...
Success in producing a population projection predominately depends on the accuracy of its migration rates. In developing an interregional, cohort-component projection methodology for the U.S. city of Boston, Massachusetts, we created an innovative ap...
Multi-criteria decision-making models are very useful tools for use in the process of land consolidation project choice. However, they can lead to wrong or suboptimal choices. Under limited budgetary conditions (where the available budget does not co...
University buildings, such as student residence halls with year-round consistent energy demands, offer strong opportunities for Combined Heat and Power (CHP) systems. The economic and environmental feasibility of a CHP project is strongly linked with...
The EU is committed to achieve ambitious energy efficiency and CO2 reduction targets. Regarding improving the energy performance of the building stock, detailed building related energy data made accessible by means of GIS are crucial. For this purpos...
Literature suggests that big data is a new competitive advantage and that it enhance organizational performance. Yet, previous empirical research has provided conflicting results. Building on the resource-based view and the organizational inertia the...
This study adapts the United Nations’ methodology for national probabilistic population projections to subnational contexts. The Bayesian approach used by the UN addresses data collection complexities effectively. By applying hierarchical model...
A projective network model is a model that enables predictions to be made based on a subsample of the network data, with the predictions remaining unchanged if a larger sample is taken into consideration. An exchangeable model is a model that does no...
Eradicating poverty is a strategic priority in the pursuit of Sustainable Development Goals. This study intends to identify and quantify the elements affecting the Characteristic Agriculture Development (CAD) project implemented in area of Chinese po...
Agile software project management (ASPM) serves modern industries to conduct iterative development of complicated code bases. The decision-making process in Agile environments regularly depends on individual opinions, creating ineffective results for...
One of the keys to successfully facilitating urban regeneration projects is to encourage resident participation, because participation produces more than just outcomes. However, few studies have examined whether the residents’ participation in...
An efficacious stakeholder engagement process is instrumental in achieving success in large transport infrastructure projects. This is due to the integral role of public stakeholders’ participation in the decision-making process. The purpose of...
Building design and project planning face significant challenges in the 21st century. On the one hand, it is the requirement of building users. On the other hand, new possibilities and technologies contribute to the overall efficiency of construction...
In observational method projects in geotechnical engineering, the final geotechnical design is decided upon during actual construction, depending on the observed behavior of the ground. Hence, engineers must be prepared to make crucial decisions prom...
Operating profit is one of the most important measures in financial statements to evaluate a organizational performance. In the construction industry, however, the profit has a possibility to be misestimated as a loss and can be included in Unbilled...
In industrial building projects, steel is the main material used to create sturdy structures that have large open spaces without many columns in the center of the building. To estimate the cost of constructing a building before it enters the detailed...
Semantic segmentation is used to enable a computer to understand its surrounding environment. In image processing, images are partitioned into segments for this purpose. State-of-the-art methods make use of Convolutional Neural Networks to segment a...
This article examines the processes of governmentalization and marketization in enabling the development of civil society organizations within different welfare systems. It also attempts to explain how these processes impact volunteerism, distinguish...
The “Sell-Build” model in residential project transactions involves a home buyer agreeing to pay the developer in monthly installments starting very early in the design or construction phases of a project. It is hypothesized that the success of this...
What kind of images are data visualizations? Are they mere abstract transformations of numerical data? Should they reduce the phenomenal world into a set of pre-codified shapes? Or can they represent natural phenomena through figurative strategies? W...
In this work, we will identify the existence of “rough dependence on initial conditions” in atmospheric phenomena, a concept which is a problem for weather analysis and forecasting. Typically, two initially similar atmospheric states will diverge slo...
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