Browsing Fakultet for teknologi, kunst og design (TKD) by Title
Now showing items 1868-1887 of 2645
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Predicting performance of in-situ microbial enhanced oil recovery process and screening of suitable microbe-nutrient combination from limited experimental data using physics informed machine learning approach
(Bioresource Technology;, Peer reviewed; Journal article, 2022)Screening of suitable microbe-nutrient combination and prediction of oil recovery at the initial stage is essential for the success of Microbial Enhanced Oil Recovery (MEOR) technique. However, experimental and physics-based ... -
Predicting Remaining Fatigue Life of Topside Piping Using Deep Learning
(International Conference on Applied Artificial Intelligence (ICAPAI);2021 International Conference on Applied Artificial Intelligence (ICAPAI), Conference object, 2021-06-29)Topside piping is the most commonly failed equipment in the Petroleum and Maritime industry. The prominent degradation mechanism causing piping failure is fatigue which results in unnecessary hydrocarbon release from these ... -
Predicting Sensor Events, Activities, and Time of Occurrence Using Binary Sensor Data From Homes With Older Adults
(IEEE Access;Volume 7, Journal article; Peer reviewed, 2019-08-08)We present a comprehensive study of state-of-the-art algorithms for the prediction of sensor events and activities of daily living in smart homes. Data have been collected from eight smart homes with real users and 13-17 ... -
Predicting TCP congestion through active and passive measurments
(Master thesis, 2005)The Transmission Control Protocol (TCP) has proved to be a reliable transport protocol that has withstood the test of time. It is part of the TCP/IP protocol suite deployed on the Internet, and it currently supports a ... -
Prediction and correlation analysis of ventilation performance in a residential building using artificial neural network models based on data-driven analysis
(Sustainable Cities and Society (SCS);Volume 83, August 2022, 103981, Peer reviewed; Journal article, 2022-06-14)This study investigates approaches to evaluate prediction and correlation how significantly mechanical and natural ventilation rate and local weather conditions affect the actual ventilation performance of a residential ... -
Prediction models for bond strength of steel reinforcement with consideration of corrosion
(Materials Today: Proceedings;Volume 45, Part 6, Peer reviewed; Journal article, 2021-04-02)Corrosion phenomena is one of the main deterioration causes, which remarkably affects the behavior of structural reinforced concrete (RC) members in seismic regions. Researches on reducing rehabilitation cost, performance ... -
Prediction Models for Thermal Conductivity of Cement-based Composites
(Nordic Concrete Research;No. 58 – 1/2018, Journal article; Journal article; Peer reviewed, 2018-10-25)Cement-based materials are the most consumed materials in the construction industry. Low or high thermal conductive cement-based materials are of interest in applications such as embedded floor heating systems, building ... -
Prediction of cloud fractional cover using machine learning
(Big Data and Cognitive Computing;Volume 5 / Issue 4, Peer reviewed; Journal article, 2021-11-03)Climate change is stated as one of the largest issues of our time, resulting in many unwanted effects on life on earth. Cloud fractional cover (CFC), the portion of the sky covered by clouds, might affect global warming ... -
Prediction of influent composition in wastewater and sludge based on Statistical and Machine Learning models
(Master thesis, 2023)For the optimized operation of a wastewater resource recycle facility (WWRF), it is essential to consider significant disturbances such as fluctuations in the influent flow rate and wastewater compositions. The online ... -
Prediction of properties of FRP-confined concrete cylinders based on artificial neural networks
(Crystals;Volume 10, Issue 9, Journal article; Peer reviewed, 2020-09-14)Recently, the use of fiber-reinforced polymers (FRP)-confinement has increased due to its various favorable effects on concrete structures, such as an increase in strength and ductility. Therefore, researchers have been ... -
Prediction of schizophrenia from activity data using hidden Markov model parameters
(Peer reviewed; Journal article, 2022) -
Prediction of seismic damage spectra using computational intelligence methods
(Computers & structures;, Peer reviewed; Journal article, 2021)Predicting seismic damage spectra, capturing both structural and earthquake features, is useful in performance-based seismic design and quantifying the potential seismic damage of structures. The objective of this paper ... -
Prediction of Stress Correction Factor for Welded Joints Using Response Surface Models
(ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering;Volume 2: Structures, Safety, and Reliability, Conference object, 2021-10-11)While performing fatigue reliability analysis of the butt-welded joints it is vital to estimate the Stress Concentration Factor at these joints. A common approach adopted by industry to estimate the SCF at weld toes is to ... -
Prediction of the Eigenperiods of MDOF Shear Buildings Using Neural Networks
(International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering;8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, Conference object, 2021)The study of multi-degree of freedom (MDOF) systems is essential to evaluate and understand the seismic response of buildings. Through a MDOF idealization, the dynamic properties of the building such as its natural frequencies ... -
Prediction of the Load-Bearing Behavior of SPSW with Rectangular Opening by RBF Network
(Applied Sciences;Volume 10 / Issue 3: Special Issue - Soft Computing Techniques in Structural Engineering and Materials, Journal article; Peer reviewed, 2020-02-10)As a lateral load-bearing system, the steel plate shear wall (SPSW) is utilized in different structural systems that are susceptible to seismic risk and because of functional reasons SPSWs may need openings. In this ... -
Predictions of electricity consumption in a campus building using occupant rates and weather elements with sensitivity analysis: Artificial neural network vs. linear regression
(Peer reviewed; Journal article, 2020)This study compares building electric energy prediction approaches that use a traditional statistical method (linear regression) and artificial neural network (ANN) algorithms. We investigate how significantly occupancy ... -
Predictions of Spectral Parameters by Several Inflationary Universe Models in light of the Planck Results
(Universe;Volume 4, Issue 2, Journal article; Peer reviewed, 2018-01-29)I give a review of predictions of values of spectral parameters for a large number of inflationary models. The present review includes detailed deductions and information about the approximations that have been made, written ... -
A Preliminary Investigation into the Usability of Force Touch Interaction in a Mobile Context
(International Journal of Interactive Mobile Technologies (iJIM);Vol 12, No 5 (2018), Journal article; Peer reviewed, 2018)This paper details a preliminary evaluation into the usability and universal design of force touch interaction with older users as recently introduced into the Apple iOS9 operating system. The evaluation involved a small ... -
A Preliminary Structural Survey of Heritage Timber Log Houses in Tønsberg, Norway
(Conference object, 2021-11-29)The formulation of a multi-hazard loss model for a given structure is not only of interest for predicting the economic impact of future damage but it can also be of importance for risk mitigation. A methodology that can ... -
A Preliminary Usability and Universal Design Evaluation of a Television App User Interface
(Baltic Journal of Modern Computing;Vol. 8 (2020), No. 3, Journal article; Peer reviewed, 2020)This paper details a two-part evaluation of the Apple TV user interface. A Heuristic Evaluation and an evaluation using the seven universal design principles were carried out. The overall results showed that the Apple TV ...