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The predictability of house prices: “human against machine”
(Peer reviewed; Journal article, 2021)We develop an automated valuation model (AVM) for the residential real estate market by leveraging stacked generalization and a comparable market analysis. Specifically, we combine four novel ensemble learning methods with ... -
Predicted versus actual rock mass conditions: a review of four tunnel projects in Nepal Himalaya
(Journal article; Peer reviewed, 2007)The Himalayan region possesses enormous potential for hydropower development. However, there exists great challenge for the successful underground excavation due to complex geological set up of the region. It is generally ... -
Predicting Academic Staffs Behaviour Intention and Actual Use of Blended Learning in Higher Education: Model Development and Validation
(Peer reviewed; Journal article, 2021)Blended Learning (BL) has been implemented by lecturers in higher educations for promoting effective pedagogical practices. However, intention to use and actual usage of BL by lecturers in higher education seems to be a ... -
Predicting acute side effects of stimulant medication in pediatric attention deficit/hyperactivity disorder: data from quantitative electroencephalography, event-related potentials, and a continuous-performance test
(Journal article; Peer reviewed, 2013)Background: The aim of this study was to search for predictors of acute side effects of stimulant medication in pediatric attention deficit/hyperactivity disorder (ADHD), emphasizing variables from quantitative ... -
Predicting Advanced Balance Ability and Mobility with an Instrumented Timed Up and Go Test
(Peer reviewed; Journal article, 2020)Extensive test batteries are often needed to obtain a comprehensive picture of a person’s functional status. Many test batteries are not suitable for active and healthy adults due to ceiling effects, or require a lot of ... -
Predicting AEA dosage by Foam Index and adsorption on Fly Ash
(Chapter, 2012)Abstract: The unpredictable air entrainment in fly ash concrete caused by carbon in fly ash was studied by measuring adsorption of Air Entraining Agents (AEA) on the fly ash and by Foam Index (FI) testing. The FI test ... -
Predicting aerosol size distribution development in absorption columns
(Journal article; Peer reviewed, 2018)There are two main mechanisms for amine emissions from absorption columns. The first is connected to the volatility of amine, determining the gaseous concentration. The second mechanism is via aerosol droplets containing ... -
Predicting an unstable tear film through artificial intelligence
(Peer reviewed; Journal article, 2022)Dry eye disease is one of the most common ophthalmological complaints and is defined by a loss of tear film homeostasis. Establishing a diagnosis can be time-consuming, resource demanding and unpleasant for the patient. ... -
Predicting annual illuminance and operative temperature in residential buildings using artificial neural networks
(Peer reviewed; Journal article, 2022)Simulation-based multi-objective optimizations is proving to be an effective approach for supporting the building design and finding a balance between daylight availability, thermal comfort and energy performance. This ... -
Predicting bending moments with machine learning
(Peer reviewed; Journal article, 2019)We investigate the possibility of predicting the bending moment of slender structures based on a limited number of deflection measurements. These predictions can help to estimate the wear and tear of the structures. We ... -
Predicting cancer incidence in regions without population-based cancer registries using mortality
(Journal article; Peer reviewed, 2023)Cancer incidence numbers are routinely recorded by national or regional population-based cancer registries (PBCRs). However, in most southern European countries, the local PBCRs cover only a fraction of the country. ... -
Predicting CEO Misbehavior from Observables: Comparative Evaluation of Two Major Personality Models
(Chapter, 2019)The primary purpose of this study is to demonstrate how publicly observable pieces of information can be used to build various psychological profiles that can be utilized for the prediction of behavior within a risk analysis ... -
Predicting damage in aggregates due to the volume increase of the alkali-silica reaction products
(Peer reviewed; Journal article, 2022)Volume increase between the reactants and the products of alkali-silica reaction could reach up to 100%. Taking place inside the aggregates, ASR imposes internal pressure on the surrounding material. In the current paper, ... -
Predicting damage in aggregates due to the volume increase of the alkali-silica reaction products
(Peer reviewed; Journal article, 2022)Volume increase between the reactants and the products of alkali-silica reaction could reach up to 100%. Taking place inside the aggregates, ASR imposes internal pressure on the surrounding material. In the current paper, ... -
Predicting damage in aggregates due to the volume increase of the alkali-silica reaction products
(Peer reviewed; Journal article, 2022)Volume increase between the reactants and the products of alkali-silica reaction could reach up to 100%. Taking place inside the aggregates, ASR imposes internal pressure on the surrounding material. In the current paper, ... -
Predicting diagnostic coding in hospitals: individual level effects of price incentives
(Peer reviewed; Journal article, 2021)The purpose of this paper is to test if implicit price incentives influence the diagnostic coding of hospital discharges. We estimate if the probability of being coded as a complicated patient was related to a specific ... -
Predicting Discharges in Sewer Pipes Using an Integrated Long Short-Term Memory and Entropy A-TOPSIS Modeling Framework
(Peer reviewed; Journal article, 2022)Predicting discharges in sewage systems play an essential role in reducing sewer overflows and impacts on the environment and public health. Choosing a suitable model to predict discharges in these systems is essential to ... -
Predicting Effective Parameters in Cyclic Behavior of Reinforced Masonry Walls with Shotcrete Using Artificial Neural Networks
(Peer reviewed; Journal article, 2022)In Masonry buildings, walls are the main structural elements resistant to lateral loads. Reinforcing masonry walls by shotcreting one- or two-sides is one of the most common reinforcement methods. Considering the economic ... -
Predicting EFL teacher candidates' preparedness to work with multilingual learners: Snapshots from three European universities.
(Journal article; Peer reviewed, 2020)With the increasing linguistic and cultural diversity in EFL classrooms in Western European countries, the need to prepare language teachers to provide optimal learning conditions for multilingual EFL learners has become ...