Blar i Institutt for økonomi og it på utgivelsesdato
Viser treff 41-60 av 152
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Spatial Landslide Susceptibility Assessment Based on Novel Neural-Metaheuristic Geographic Information System Based Ensembles
(Peer reviewed; Journal article, 2019)Regular optimization techniques have been widely used in landslide-related problems. This paper outlines two novel optimizations of artificial neural network (ANN) using grey wolf optimization (GWO) and biogeography-based ... -
Novel Nature-Inspired Hybrids of Neural Computing for Estimating Soil Shear Strength
(Peer reviewed; Journal article, 2019)This paper focuses on the prediction of soil shear strength (SSS), which is one of the most fundamental parameters in geotechnical engineering. Consisting of 12 influential factors, namely depth of sample, percentage of ... -
Development of an Artificial Intelligence Approach for Prediction of Consolidation Coefficient of Soft Soil: A Sensitivity Analysis
(Journal article, 2019)Background: Consolidation coefficient (Cv) is a key parameter to forecast consolidation settlement of soft soil foundation as well as in treatment design of soft soil foundation, especially when drainage consolidation ... -
State investments and human rights? The case of the Norwegian Government Pension Fund Global
(Journal article; Peer reviewed, 2019)Abstract Purpose - The paper explores how the Norwegian Government incorporated its responsibility for human rights into the investment practices of its Global Pension Fund and how human rights issues were negotiated when ... -
Development of a Novel Hybrid Intelligence Approach for Landslide Spatial Prediction
(Peer reviewed; Journal article, 2019)We proposed an innovative hybrid intelligent approach, namely, the multiboost based naïve bayes trees (MBNBT) method for the spatial prediction of landslides in the Mu Cang Chai District of Yen Bai Province, Vietnam. The ... -
Two novel neural-evolutionary predictivetechniques of dragonfly algorithm (DA) andbiogeography-based optimization (BBO)forlandslide susceptibility analysis
(Peer reviewed; Journal article, 2019)Due to the wide application of evolutionary science in different engineering problems, the main aim of this paper is to present two novel optimizations of multi-layer perceptron (MLP) neural network, namely dragonfly ... -
Spotted Hyena Optimizer and Ant Lion Optimization in Predicting the Shear Strength of Soil
(Peer reviewed; Journal article, 2019)Two novel hybrid predictors are suggested as the combination of artificial neural network (ANN), coupled with spotted hyena optimizer (SHO) and ant lion optimization (ALO) metaheuristic techniques, to simulate soil shear ... -
Minimum Viable Products for Internet of Things Applications: Common Pitfalls and Practices
(Journal article; Peer reviewed, 2019)Internet of Things applications are not only the new opportunity for digital businesses but also a major driving force for the modification and creation of software systems in all industries and businesses. Compared to ... -
Application of Three Metaheuristic Techniques in Simulation of Concrete Slump
(Journal article; Peer reviewed, 2019)Slump is a workability-related characteristic of concrete mixture. This paper investigates the efficiency of a novel optimizer, namely ant lion optimization (ALO), for fine-tuning of a neural network (NN) in the field of ... -
Predicting Slope Stability Failure through Machine Learning Paradigms
(Peer reviewed; Journal article, 2019)In this study, we employed various machine learning-based techniques in predicting factor of safety against slope failures. Different regression methods namely, multi-layer perceptron (MLP), Gaussian process regression ... -
Eiendomsmegleren i teori og praksis - en kvalitativ studie
(Journal article; Peer reviewed, 2019)Det er publisert svært lite forskning om eiendomsmeglerutdanningen. Denne artikkelen gjengir en kvalitativ undersøkelse, hvor eiendomsmeglerfullmektiger og deres prinsipaler ble intervjuet om deres opplevelse av både ... -
A review of remote sensing approaches for monitoring blue carbon ecosystems: Mangroves, seagrasses and salt marshes during 2010 - 2018
(Journal article; Peer reviewed, 2019)Blue carbon (BC) ecosystems are an important coastal resource, as they provide a range of goods and services to the environment. They play a vital role in the global carbon cycle by reducing greenhouse gas emissions and ... -
Neural Computing Improvement Using Four Metaheuristic Optimizers in Bearing Capacity Analysis of Footings Settled on Two-Layer Soils
(Peer reviewed; Journal article, 2019)This study outlines the applicability of four metaheuristic algorithms, namely, whale optimization algorithm (WOA), league champion optimization (LCA), moth–flame optimization (MFO), and ant colony optimization (ACO), for ... -
Soil Salinity Mapping Using SAR Sentinel-1 Data and Advanced Machine Learning Algorithms: A Case Study at Ben Tre Province of the Mekong River Delta (Vietnam)
(Journal article; Peer reviewed, 2019)Soil salinity caused by climate change associated with rising sea level is considered as one of the most severe natural hazards that has a negative effect on agricultural activities in the coastal areas in most tropical ... -
Återbruk av det industriella kulturarvet i kulturarvsindustrin. Ett landsbygdsperspektiv.
(Peer reviewed; Journal article, 2019)This paper aims to examine adaptive reuse of the industrial heritage in the Swedish countryside from the point of view of four different values within the heritage process: experiential values, economic values, symbolic ... -
Social sustainability of tourism in Iceland: A qualitative inquiry
(Journal article; Peer reviewed, 2019)Sustainability research in tourism increasingly focuses on social issues such as the relationship between resident quality of life and community resilience through adaptive capacity. This study of resident and tourism ... -
A Novel Intelligence Approach of a Sequential Minimal Optimization-Based Support Vector Machine for Landslide Susceptibility Mapping
(Journal article; Peer reviewed, 2019)The main objective of this study is to propose a novel hybrid model of a sequential minimal optimization and support vector machine (SMOSVM) for accurate landslide susceptibility mapping. For this task, one of the landslide ... -
The Kyrgyz horse: enactments and agencies in and beyond a tourism context
(Peer reviewed; Journal article, 2019)The horse has a strong cultural and historical importance in Kyrgyzstan. With a mountainous topography, the rural areas of this Central Asian country are best accessed by horse. Among all the tourism experiences Kyrgyzstan ... -
A Semi-empirical Approach Based on Genetic Programming for the Study of Biophysical Controls on Diameter-Growth of Fagus orientalis in Northern Iran
(Journal article; Peer reviewed, 2019)This paper examines the possible ecological controls on the diameter increment of oriental beech (Fagus orientalis Lipsky) in a high altitude forest in northern Iran. The main objectives of the study are computer-generated ... -
Slope Stability Monitoring Using Novel Remote Sensing Based Fuzzy Logic
(Journal article; Peer reviewed, 2019)By the assist of remotely sensed data, this study examines the viability of slope stability monitoring using two novel conventional models. The proposed models are considered to be the combination of neuro-fuzzy (NF) system ...