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Elahe Khazaei and Abbas Alimohammadi
Location-based social networking services have attracted great interest with the growth of smart mobile devices. Recommending locations for users based on their preferences is an important task for location-based social networks (LBSNs). Since human bein...
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Dongjin Yu, Yi Shen, Kaihui Xu and Yihang Xu
Point-Of-Interest (POI) recommendation not only assists users to find their preferred places, but also helps businesses to attract potential customers. Recent studies have proposed many approaches to the POI recommendation. However, the lack of negative ...
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Aihua Wu, Yinjia Ding, Jingfeng Mao and Xudong Zhang
The point clouds registration is a key step in data processing for the 3D laser scanner to obtain complete information of the object surface, and there are many algorithms. In order to overcome the disadvantages of slow calculation speed and low accuracy...
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Jean-Sébastien Dessureault, Félix Clément, Seydou Ba, François Meunier and Daniel Massicotte
The field of interior home design has witnessed a growing utilization of machine learning. However, the subjective nature of aesthetics poses a significant challenge due to its variability among individuals and cultures. This paper proposes an applied ma...
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Usman Javed Butt, Osama Hussien, Krison Hasanaj, Khaled Shaalan, Bilal Hassan and Haider al-Khateeb
As computer networks become increasingly important in various domains, the need for secure and reliable networks becomes more pressing, particularly in the context of blockchain-enabled supply chain networks. One way to ensure network security is by usin...
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Maximilian Felde, Tom Hanika and Gerd Stumme
Null model generation for formal contexts is an important task in the realm of formal concept analysis. These random models are in particular useful for, but not limited to, comparing the performance of algorithms. Nonetheless, a thorough investigation o...
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Ayad Hicham
Pág. 17 - 30
The contribution of this paper is investigating the Harberger-Laursen-Metzler effect in the context of 18 Arabic countries since it?s the first time to test it in Arabic countries over the period 2000-2017, and was tested by using the Westerlund (2007) c...
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Chen Liu, Feng Li, Xian Sun and Hongzhe Han
Entity linking (also called entity disambiguation) aims to map the mentions in a given document to their corresponding entities in a target knowledge base. In order to build a high-quality entity linking system, efforts are made in three parts: Encoding ...
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David Kinney
This article considers the extent to which Bayesian networks with imprecise probabilities, which are used in statistics and computer science for predictive purposes, can be used to represent causal structure. It is argued that the adequacy conditions for...
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Vítor João Pereira Domingues Martinho, Carlos Augusto da Silva Cunha, Maria Lúcia Pato, Paulo Jorge Lourenço Costa, María Carmen Sánchez-Carreira, Nikolaos Georgantzís, Raimundo Nonato Rodrigues and Freddy Coronado
Climate change and global warming interconnected with the new contexts created by the COVID-19 pandemic and the Russia-Ukraine conflict have brought serious challenges to national and international organizations, especially in terms of food security and ...
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Andreea Bianca Popescu, Ioana Antonia Taca, Anamaria Vizitiu, Cosmin Ioan Nita, Constantin Suciu, Lucian Mihai Itu and Alexandru Scafa-Udriste
Deep learning (DL)-based algorithms have demonstrated remarkable results in potentially improving the performance and the efficiency of healthcare applications. Since the data typically needs to leave the healthcare facility for performing model training...
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Hongwei Wei, Guanjun Lin, Lin Li and Heming Jia
Exploitable vulnerabilities in software systems are major security concerns. To date, machine learning (ML) based solutions have been proposed to automate and accelerate the detection of vulnerabilities. Most ML techniques aim to isolate a unit of source...
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Lucio Di Cosmo,Diego Giuliani,Maria Michela Dickson,Patrizia Gasparini
Pág. e019
Aims of the study. Assessment of growth is essential to support sustainability of forest management and forest policies. The objective of the study was to develop a species-specific model to predict the annual increment of tree basal area through variabl...
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Rene Westerholt, Heinrich Lorei and Bernhard Höfle
Location-based games have become popular in recent years, with Pokémon Go and Ingress being two very prominent examples. Some location-based games, known as Serious Games, go beyond entertainment and serve additional purposes such as data collection. Suc...
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Eleni Charoniti, Soora Rasouli, Harry J.P. Timmermans
Pág. 89 - 96
Understanding variability in observed travel behavior has been one of the major research topics in travel behavior analysis and travel demand modeling. Differences in outcomes of travel decisions can be attributed to observed and non-observed differences...
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Leonardo Pinto de Magalhães and Fabrício Rossi
In the cultivation of maize, the leaf area index (LAI) serves as an important metric to determine the development of the plant. Unmanned aerial vehicles (UAVs) that capture RGB images, along with random forest regression (RFR), can be used to indirectly ...
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Ouarda Zedadra, Antonio Guerrieri, Hamid Seridi, Aymen Benzaid and Giancarlo Fortino
Efficiently searching for multiple targets in complex environments with limited perception and computational capabilities is challenging for multiple robots, which can coordinate their actions indirectly through their environment. In this context, swarm ...
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Feng Cheng, Shuchun Jia and Wei Gao
In order to tackle the issue of carbon emissions in logistics and distribution, a vehicle routing model was proposed with the aim of minimizing the overall cost, which includes the vehicle?s fixed cost, transportation costs, and carbon emission costs. An...
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Jesse T. Richman and Ryan J. Roberts
Big search data offers the opportunity to identify new and potentially real-time measures and predictors of important political, geographic, social, cultural, economic, and epidemiological phenomena, measures that might serve an important role as leading...
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Liangkun Yu, Xiang Sun, Rana Albelaihi and Chen Yi
Federated learning (FL) is a collaborative machine-learning (ML) framework particularly suited for ML models requiring numerous training samples, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Random Forest, in the co...
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