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Empirical Research on User Stickiness of Fitness Application Based on the Theory of Continuous Use of Information System—Take Keep as an Example
Mobile fitness app is a new product in the Internet era, which provides convenient fitness help for sports enthusiasts. The purpose of this study is...
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Review text based rating prediction approaches: preference knowledge learning, representation and utilization
Numerous rating prediction approaches have exploited users’ review texts to learn the associated preference knowledge or content semantics in order...
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Modification of rock mass rating system using soft computing techniques
Classification systems such as rock mass rating (RMR) are used to evaluate rock mass quality. This paper intended to evaluate RMR based on a fuzzy...
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Assessment of plastic zones surrounding the power station cavern using numerical, fuzzy and statistical models
Plastic zones evaluation around the powerhouse caverns is a very crucial issue in designing and constructing these structures and accurate...
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A Method to Automatic Measuring Riding Comfort of Autonomous Vehicles: Based on Passenger Subjective Rating and Vehicle Parameters
As a milestone product of the AI era, the autonomous vehicle has attracted tremendous attention from the whole society. When autonomous vehicles (AV)...
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A Monte Carlo simulation approach for effective assessment of flyrock based on intelligent system of neural network
One of the undesirable phenomena in the surface mines, which results in various hazards for human and facilities, is flyrock. It seems that the...
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Natural Language Processing for Recommender Systems
In the race for improved modeling, modern recommender systems enhance collaborative filtering (CF) by using diverse signals that provide additional...
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"Challenges and future in deep learning for sentiment analysis: a comprehensive review and a proposed novel hybrid approach"
Social media is used to categorise products or services, but analysing vast comments is time-consuming. Researchers use sentiment analysis via...
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Diversifying personalized mobile multimedia application recommendations through the Latent Dirichlet Allocation and clustering optimization
The rapid development of mobile multimedia applications explosively increased the availability of the number of applications in the apps market....
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A Preliminary Method for Assessing Sea Cliff Instability Hazard: Study Cases Along Apulian Coastline
The instability processes of sea cliffs are the result of the influence of different hazard factors that depends mainly on the coastal morphology....
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Overbreak prediction and optimization in tunnel using neural network and bee colony techniques
Overbreak is an undesirable phenomenon in blasting operations. The causing factors of overbreak can be generally divided as blasting and geological...
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Highly Available Clouds: System Modeling, Evaluations, and Open Challenges
Cloud-based solution adoption is becoming an indispensable strategy for enterprises, since it brings many advantages, such as low cost. On the other...
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Application of improved support vector regression model for prediction of deformation modulus of a rock mass
Deformation modulus of a rock mass is one of the crucial parameters used in the design of surface and underground rock engineering structures....
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Stability prediction of gate roadways in longwall mining using artificial neural networks
Roadways stability in longwall coal mining is critical to mine productivity and safety of the personnel. In this regard, a typical challenge in...
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Evaluation and prediction of flyrock resulting from blasting operations using empirical and computational methods
Mines, quarries and construction sites face environmental impacts, such as flyrock, due to blasting operations. Flyrock may cause damage to...
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The impact of Web self-efficacy, age, and Web experience on bookmark manipulation
This paper presents a study that examines the impact of age, Web experience, and Web self-efficacy across the adult life span on users’ bookmark...
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