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A hybrid model towards moving route prediction under data sparsity
2017
2017 20th International Conference on Information Fusion (Fusion)
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In this paper, we investigate moving route prediction from sparse trajectory dataset, and propose a novel hybrid model, namely HMRP, to address the above problem. ...
When a query trajectory arrives, towards its derived potential destination, our proposed HMRP model integrates pattern matching strategy and Markov probability distribution to predict its future route ...
In summary, we make the following contributions in this article: • Towards the moving route prediction problem under data sparsity, we propose a novel hybrid model to address this problem. ...
doi:10.23919/icif.2017.8009862
dblp:conf/fusion/WangWKCG17
fatcat:g5zqfrkjsbfcxdyefhspwm4i5y
D4.2 Modelling of Intelligent IAB and Hybrid User Terminal Optimized by the Multi-agent Deep Reinforcement Learning
2022
Zenodo
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Machine-Type Communication Hybrid user terminal modelling for the D2D enabled cooperative network Intelligent IAB with Beam Steering based on User Location Advanced Test and Simulation Tools supporting ...
The updated research areas in this document include: Artificial Intelligence (AI) based scheduler for a 5G Cell-Free (CF) networks with Integrated Access and Back-haul (IAB) Grant-free NOMA for massive ...
towards the moving user. ...
doi:10.5281/zenodo.7467961
fatcat:b6xh3bwqwjhq7me4l3ohirn32i
Hybrid Twins - a highway towards a performance-based engineering. Part I: Advanced Model Order Reduction enabling Real-Time Physics
2021
ESAFORM 2021
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Moreover, sparsity can be profitable for increasing accuracy while avoiding overfitting, and when combined with ANOVA-based decompositions the benefits are potentially huge. ...
This work retraces the main recent advances in the so-called non-intrusive model order reduction, and more concretely, the construction of parametric solutions related to parametric models, with special ...
Hybrid Twins -a highway towards a performance-based engineering. we consider that only one parameter is involved in the model, its generalization to many parameters is straightforward. ...
doi:10.25518/esaform21.2017
fatcat:cfm3mhieg5afzh4ipedvxlvmqi
AI Based Traffic Flow Prediction Model for Connected and Autonomous Electric Vehicles
2022
Computers Materials & Continua
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In addition to the above, a Support Vector Data Description (SVDD) model is also used in the filtration of anomaly points and smoothen the raw data. ...
In order to illustrate the proficiency of the model's predictive outcomes, a set of simulations was performed and the results were investigated under distinct aspects. ...
The hybrid TFP model performed well on non-linear traffic flow data and efficiently enhanced the predictive accuracy. ...
doi:10.32604/cmc.2022.020197
fatcat:vnauarf3jrct7c4xpgm6xivn3i
Linked Open Data in Location-Based Recommendation System on Tourism Domain: a survey
2020
IEEE Access
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Linked open data is a relatively new topic area with great potential in a wide range of fields. ...
This work aims not only to present a systematic review and mapping of the linked open data in location-based recommendation system on tourism domain, but also to provide an overview of the current research ...
[68] explored the usage of open data to predict tourists' responses towards a certain destination, in terms of ratings. A large set of open data is freely available on tripadvisor.com. ...
doi:10.1109/access.2020.2967120
fatcat:yqwkrko6mzfw5e5kckfaxbxzju
Feynman Machine: The Universal Dynamical Systems Computer
[article]
2016
arXiv
pre-print
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We propose a simple new model which draws on recent findings in Neuroscience and the Applied Mathematics of interacting Dynamical Systems. ...
A suite of software implementations has been built based on these principles, and applied to a number of spatiotemporal learning tasks. ...
We call this approach network routing, as it essentially routes the connectivity patterns of another network. The entire hybrid network is termed a Routed Predictive Hierarchy (RPH, Figure 2 ). ...
arXiv:1609.03971v1
fatcat:oenlde46rrgzhfg53rk7st3bvu
D4.3 AI driven Resource Allocation for High Dynamic Ultra-dens D2D Network
2023
Zenodo
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massive Machine-Type Communication Integrated with Intelligent beamforming Hybrid user terminal modelling and Resource Allocation for the cell-free D2D network Intelligent IAB with Beam Steering based ...
The updated research areas in this document include: Artificial Intelligence (AI) based scheduler for a 5G Cell-Free (CF) networks with Integrated Access and Back-haul (IAB) AI based Grant-free NOMA for ...
As a further interesting phenomenon, we observe that Hybrid Routing improves performance when compared with traditional Q-Routing under low loads but degrades performance under higher loads. ...
doi:10.5281/zenodo.10017227
fatcat:xqqyswyjf5cn5gunthcwd2qibi
An Optimal Enhancement of the Dynamic Features of Recommender Systems
2019
International journal of recent technology and engineering
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Recommendation systems come under the domain of Data mining and Big Data analytics. It is useful tool that is used to predict the ratings or preferences of a user from a pool of resources. ...
As a result, the requirements of user browsing the internet are changing radically. ...
Sparsity problem etc. ...
doi:10.35940/ijrte.b1009.0782s419
fatcat:34oygnrwjzbp3h6juw5rxrxjae
Recent Advances in Complex Networks Theories with Applications
2014
The Scientific World Journal
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Musial et al. proposes a new method for creation of multilayered social network based on the data about users activities towards different types of objects between which the hierarchy exists. ...
"Modeling of information diffusion in Twitter-like social networks under information overload" by P. ...
Musial et al. proposes a new method for creation of multilayered social network based on the data about users activities towards different types of objects between which the hierarchy exists. ...
doi:10.1155/2014/504923
pmid:25152914
pmcid:PMC4134825
fatcat:pqny2b2h6ves3iqcglofqtexju
Table of Contents
2020
IEEE Transactions on Vehicular Technology
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Yang 317 Dynamical Coupling of a Battery Electro-Thermal Model and the Traction Model of an EV for Driving Range Simulation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
Emadi 172 Short-Term Optimal Energy Management of Power-Split Hybrid Electric Vehicles Under Velocity Tracking Control . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
Li 958 Parking-Area-Assisted Spider-Web Routing Protocol for Emergency Data in Urban VANET . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ...
doi:10.1109/tvt.2019.2961921
fatcat:5hwiwrq6hbekpnzaciuur7dvom
A Resource Utilization Prediction Model for Cloud Data Centers Using Evolutionary Algorithms and Machine Learning Techniques
2022
Applied Sciences
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The proposed technique is evaluated on Google cluster traces data. Experimental results show that the proposed model yields better accuracy as compared to traditional techniques. ...
This research focuses on multi-resource utilization prediction using Functional Link Neural Network (FLNN) with hybrid Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). ...
Data Availability Statement: The datasets used are available publicly.
Conflicts of Interest: There is no conflicts of interest to report. ...
doi:10.3390/app12042160
fatcat:zjsi7dcqfbfhlo3t7o6abik7iu
A Hybrid Microscopic Model for Multimodal Traffic with Empirical Observations from Aerial Footage
[article]
2022
arXiv
pre-print
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Then, we propose a hybrid model for multimodal vehicular traffic. ...
The hybrid model is inspired by the pedestrian flow literature, featuring collision-free and anticipatory properties, and we demonstrate that it is able to reproduce empirical observations from aerial ...
This research was partially funded by Swiss National Science Foundation (SNSF) grant (200021_188590) "pNEUMA: On the new era of urban traffic models with massive empirical data from aerial footage". ...
arXiv:2210.14022v1
fatcat:5nddmgnvxjc4hctpxm7vcwnjai
Building Novel VHF-Based Wireless Sensor Networks for the Internet of Marine Things
2018
IEEE Sensors Journal
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The impact of marine sparsity on the network is examined and a novel hybrid Mobile Ad-hoc/Delay Tolerant routing protocol (MADNET) is proposed to switch automatically between Mobile Ad-hoc Network (MANET ...
The sensory data is ultimately aggregated at a central cloud on the internet to produce up to date cartography systems. ...
ACKNOWLEDGMENTS This work was carried out through the support of EU Horizon 2020 project POINT under grant agreement No 643990, and the School of Computer Science and Electronic Engineering, University ...
doi:10.1109/jsen.2018.2791487
fatcat:o374gssxszfi7nfspjllyeozgi
Presenting an Effective Method to Detect and Track the Broken Path in VANET Using UAVs
2020
Wireless Communications and Mobile Computing
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barriers that may affect the reliability of data transmission and routing. ...
Cloud computing has also been defined as a new infrastructure for VANET which is made up of a significant number of computing nodes including stable data centers as well as a set of mobile computing devices ...
The proactive routing process in this approach is performed by each data center in the network with the aim of tracing all paths from this data center toward each node in the network (known as a future ...
doi:10.1155/2020/8887285
fatcat:fgprtnbf4revfb5mc5pwthhgla
Questions to Guide the Future of Artificial Intelligence Research
[article]
2020
arXiv
pre-print
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As a result, there are a number of problems that should be addressed in order to select the beneficial aspects of both fields. ...
The problem is finding these computational needles in a haystack of biological complexity. Biology has clear constraints but by not using it as a guide we are constraining ourselves. ...
As a result we can learn faster, develop predictive models, and ultimately be more data efficient. 13 What's common sense? ...
arXiv:1912.10305v2
fatcat:hihf42fkinbk5horq7mdgdfmnq
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