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Abhishek Srivastava,Indrani Sengupta
Artificial Intelligence (AI) technology has advanced impressively since inventors began tampering with its potential. Many believe that the next great use for AI technology will be in the field of financial market speculation. Technology can be used eith...
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Özüm Emre Asirim, Ece Z. Asirim and Mustafa Kuzuoglu
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Ulises Manuel Ramirez-Alcocer, Edgar Tello-Leal, Gerardo Romero and Bárbara A. Macías-Hernández
In this paper, we propose a deep learning-based approach to predict the next event in hospital organizational process models following the guidance of predictive process mining. This method provides value for the planning and allocating of resources sinc...
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Sina Sajjadi, Mehran Mehrandezh and Farrokh Janabi-Sharifi
In the past two decades, Unmanned Aerial Vehicles (UAVs) have gained attention in applications such as industrial inspection, search and rescue, mapping, and environment monitoring. However, the autonomous navigation capability of UAVs is aggravated in G...
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David Orrego Granados, Jonathan Ugalde, Rodrigo Salas, Romina Torres and Javier Linkolk López-Gonzales
The academic success of university students is a problem that depends in a multi-factorial way on the aspects related to the student and the career itself. A problem with this level of complexity needs to be faced with integral approaches, which involves...
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Alireza Rezazadeh
Predicting the outcome of sales opportunities is a core part of successful business management. Conventionally, undertaking this prediction has relied mostly on subjective human evaluations in the process of sales decision-making. In this paper, we addre...
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Meng-Leong How, Sin-Mei Cheah, Aik Cheow Khor and Yong Jiet Chan
According to the World Bank, a key factor to poverty reduction and improving prosperity is financial inclusion. Financial service providers (FSPs) offering financially-inclusive solutions need to understand how to approach the underserved successfully. T...
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Meng-Leong How and Yong Jiet Chan
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Sofia Fernandes, Mário Antunes, Ana Rita Santiago, João Paulo Barraca, Diogo Gomes and Rui L. Aguiar
Heating appliances consume approximately 48%" role="presentation">48%48%
48
%
of the energy spent on household appliances every year. Furthermore, a malfunctioning device can increase the cost even further. Thus, there is a need to create methods that c...
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Niyi Ogunbiyi, Artie Basukoski and Thierry Chaussalet
Predictive process monitoring aims to accurately predict a variable of interest (e.g., remaining time) or the future state of the process instance (e.g., outcome or next step). The quest for models with higher predictive power has led to the development ...
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Saeid Esmaeili, Amjad Anvari-Moghaddam, Shahram Jadid and Josep M. Guerrero
Due to the recent developments in the practical implementation of remotely controlled switches (RCSs) in the smart distribution system infrastructure, distribution system operators face operational challenges in the hourly reconfigurable environment. Thi...
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Samad AmirKhalkhali, Sal AmirKhalkhali
This real model simulation study attempts to shed more light on the predictive performances of two of the most commonly used panel data regression methods - fixed effects and random effects. In particular, this paper attempts to address the question, How...
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George Tzougas and Konstantin Kutzkov
We developed a methodology for the neural network boosting of logistic regression aimed at learning an additional model structure from the data. In particular, we constructed two classes of neural network-based models: shallow?dense neural networks with ...
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Seongkeun Park and Jieun Byun
Background: Post-prostatectomy incontinence (PPI) is a major complication that can significantly decrease quality of life. Approximately 20% of patients experience consistent PPI as long as 1 year after radical prostatectomy (RP). This study develops a p...
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Pawel D. Domanski
Model Predictive Control constitutes an important element of any modern control system. There is growing interest in this technology. More and more advanced predictive structures have been implemented. The first applications were in chemical engineering,...
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Jamil Al-Azzeh, Abdelwadood Mesleh, Maksym Zaliskyi, Roman Odarchenko and Valeriyi Kuzmin
The main purpose of mathematical model building while employing statistical data analysis is to obtain high accuracy of approximation within the range of observed data and sufficient predictive properties. One of the methods for creating mathematical mod...
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Zhi-Peng Zhang, Yasuo Kudo, Tetsuya Murai and Yong-Gong Ren
Recommender systems (RS) analyze user rating information and recommend items that may interest users. Item-based collaborative filtering (IBCF) is widely used in RSs. However, traditional IBCF often cannot provide recommendations with good predictive and...
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Peter Porskamp, Alex Rattray, Mary Young and Daniel Ierodiaconou
Developing quantitative and objective approaches to integrate multibeam echosounder (MBES) data with ground observations for predictive modelling is essential for ensuring repeatability and providing confidence measures for benthic habitat mapping. The s...
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Peter Porskamp, Alex Rattray, Mary Young and Daniel Ierodiaconou
Developing quantitative and objective approaches to integrate multibeam echosounder (MBES) data with ground observations for predictive modelling is essential for ensuring repeatability and providing confidence measures for benthic habitat mapping. The s...
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Weiwei Qi, Mingbo Tong, Qi Wang, Wei Song and Hunan Ying
In this research, the design of a robust curved-line path-following control system for fixed-wing unmanned aerial vehicles (FWUAVs) affected by uncertainties on the latitude plane is studied. This is undertaken to enhance closed-loop system robustness un...
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