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Artificial Intelligence (AI) Framework for Multi-Modal Learning and Decision Making towards Autonomous and Electric Vehicles

G. Ramesh, J. Praveen, S. Tummala, S. Kosaraju, P. Bobba, S. Singh
2021 E3S Web of Conferences  
An electric vehicle with autonomous driving is a possibility provided technology innovations in multi-disciplinary approach.  ...  In this context, this paper is aimed at building an Artificial Intelligence (AI) framework that has dual goal of "monitoring and regulating power usage" and facilitating autonomous driving with technology-driven  ...  In this paper we build an AI based API that governs autonomous driving by exploiting diversified set of sensors, multi-modal learning, edge and cloud computing in real time to ascertain traffic, making  ... 
doi:10.1051/e3sconf/202130901167 fatcat:3igmmoq7abgijiro4iwko263cq

Incorporating Multi-Modal Travel Planning into an Agent-Based Model: A Case Study at the Train Station Kellinghusenstraße in Hamburg

Ulfia Annette Lenfers, Nima Ahmady-Moghaddam, Daniel Glake, Florian Ocker, Jonathan Ströbele, Thomas Clemen
2021 Land  
Multi-agent systems are well-suited for addressing questions that require an understanding of movement patterns and decision processes at the individual level.  ...  The increase of options and possibilities in multi-modal travel implies an increase in complexity when planning and implementing such an infrastructure.  ...  Acknowledgments: We acknowledge support for the article processing charge by the "PAY THE TIME GAP" Fund of Hamburg University of Applied Sciences.  ... 
doi:10.3390/land10111179 fatcat:deljb53zr5cqvcihjqe536ydqm

Guest Editorial for "Artificial Intelligence for Cognitive Wireless Communications"

Kai Hwang, Min Chen, Hamid Gharavi, Victor C M Leung
2019 IEEE wireless communications  
Advanced communications and networks greatly enhance users' experience and have brought a huge impact to all aspects of people's lifestyles at home, at work, in social exchanges, and economically.  ...  Derived from cognitive science and data analytics, cognitive computing can mimic or augment human intelligence, and exhibits great potential to power smart wireless communication networks.  ...  In the healthcare framework, the authors use an edge computing prior to an intensive-processing cloud computing.  ... 
pmid:31579263 pmcid:PMC6774379 fatcat:43co5nivn5binkgrg5gewhjb3u

Guest Editorial: Aerial Computing: Drones for Multi-Access Edge Computing

Jianchao Zheng, Alagan Anpalagan, Mohsen Guizani, Yuan Wu, Ning Zhang, Xianfu Chen, F. Richard Yu
2021 IEEE wireless communications  
The article entitled "Cellular Traffic Prediction via Deep Multi-reservoirs Regression Learning Network for Multi-Access Edge Computing" by Li et al. achieves cellular traffic prediction by a deep multi-reservoirs  ...  Cellular traffic prediction at mobile edges is valuable in 5G. However, accurate prediction for cellular traffic flow How to provide robust edge computing is critical in UAV systems.  ... 
doi:10.1109/mwc.2021.9615123 fatcat:6bt4dyze6nf55eb5tbc3skg5ai

Block Chain and Big Data-Enabled Intelligent Vehicular Communication

Shahid Mumtaz, Anwer Al-Dulaimi, Haris Gacanin, Ai Bo
2021 IEEE transactions on intelligent transportation systems (Print)  
Thus, the congestions, incidents, and environmental pollution which are caused by the increasing number of road vehicles and traffics have resulted in hundreds of millions of losses and become a major  ...  Novel techniques and technologies are needed to provide the necessary intelligence and adaptation for information security and cooperation of the more and more different existing vehicular communication  ...  to improving the quality of the solution; then, an adaptive location-based update strategy of decreasing inertia weights is proposed.  ... 
doi:10.1109/tits.2021.3090720 fatcat:nblknyxbzjfslna3h7zrrtozky

MLink: Linking Black-Box Models for Collaborative Multi-Model Inference

Mu Yuan, Lan Zhang, Xiang-Yang Li
2022 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
We evaluated MLink on a multi-modal dataset with seven different ML models and two real-world video analytics systems with six ML models and 3,264 hours of video.  ...  Through collaborative multi-model inference enabled by model links, MLink can improve the accuracy of obtained inference results under the cost budget.  ...  We use an edge server with one NVIDIA 2080Ti GPU. 2) Traffic monitoring.  ... 
doi:10.1609/aaai.v36i9.21180 fatcat:5lkvbjuwknb3hoxpi5rbglzdca

Emotion-awareness for intelligent vehicle assistants

Hans-Jörg Vögel, Raphaël Troncy, Benoit Huet, Melek Önen, Adlen Ksentini, Jörg Conradt, Asaf Adi, Alexander Zadorojniy, Jacques Terken, Jonas Beskow, Ann Morrison, Christian Süß (+11 others)
2018 Proceedings of the 1st International Workshop on Software Engineering for AI in Autonomous Systems - SEFAIS '18  
design, cognitive modelling, decision making and recommender systems, emotion sensing as feedback for learning, and distributed (edge) computing delivering cognitive services.  ...  EVA requires a multi-disciplinary approach, combining a number of critical building blocks into a cybernetics systems/software architecture: emotion aware systems and algorithms, multimodal interaction  ...  of an analytical application.  ... 
doi:10.1145/3194085.3194094 fatcat:stdxabm2jjevbijg4vboixszze

An Efficient Graph-Based Spatio-Temporal Indexing Method for Task-Oriented Multi-Modal Scene Data Organization

Bin Feng, Qing Zhu, Mingwei Liu, Yun Li, Junxiao Zhang, Xiao Fu, Yan Zhou, Maosu Li, Huagui He, Weijun Yang
2018 ISPRS International Journal of Geo-Information  
This paper proposes a new spatio-temporal indexing method for task-oriented multi-modal scene data organization.  ...  Existing hybrid tree-based external indexing methods are input/output (I/O)-intensive, query schema-fixed, and difficult when representing the complex relationships of real-time multi-modal scene data;  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi7090371 fatcat:hwerjs3rvrdplfzenxk42m7zvq

2012 Subject Index

2012 Journal of Aircraft  
Delays C12-037 Framework for Aircraft Trajectory Planning Toward an Efficient Air Traffic Management C12-104 Configuration of the Multibubble Pres- sure Cabin in Blended-Wing/Body C12-136 Influence of  ...  Aircraft Competition on Emissions Analytical and Numerical Methods C12-023 Nonprobabilistic Reliability Analysis for an Inside Flap of an Aircraft C12-122 Autorotational Spin Evolving Toward Chaos C12  ... 
doi:10.2514/1.61023 fatcat:xtljdmxokbfwlljaohhl7k3nrm

Issues and Challenges Facing Low Latency in Tactile Internet

Tara I. Yahiya, Pinar Kirci
2019 UKH Journal of Science and Engineering  
Tactile Internet is considered as the next step towards a revolutionary impact on the society, this is due to the introduction of different types of applications mainly the haptic ones that require strict  ...  This would be a major challenge towards the design of new communication technologies and protocols in order to provide ultra-low latency.  ...  This is due to the functionalities that automate and utilize the resources in the core network in an efficient way just like SDN and NFV along with its combination with multi-access edge computing to bring  ... 
doi:10.25079/ukhjse.v3n1y2019.pp47-58 fatcat:fn2pgf5y45dhzjnmgeibpizpgm

Towards 5G Enabled Tactile Robotic Telesurgery [article]

Qi Zhang, Jianhui Liu, Guodong Zhao
2018 arXiv   pre-print
(QoS) requirements of the multi-modal sensory data.  ...  Based on this, a viable network architecture enabled by the converged edge and core cloud is presented and the relevant research challenges, open issues and enabling technologies in the 5G communication  ...  ACKNOWLEDGMENTS The authors would like to thank Jørgen Bjerggaard Jensen, Clinical Professor in Urology at Aarhus University with special focus on bladder cancer and robotic surgery, for his experience  ... 
arXiv:1803.03586v1 fatcat:sohmkhvkhzahvef6qofer6oq3i

2021 Index IEEE Transactions on Intelligent Transportation Systems Vol. 22

2021 IEEE transactions on intelligent transportation systems (Print)  
Note that the item title is found only under the primary entry in the Author Index.  ...  The Author Index contains the primary entry for each item, listed under the first author's name.  ...  Rathee, G., +, TITS July 2021 4005-4015 Enabling Intelligent IoCV Services at the Edge for 5G Networks and Beyond.  ... 
doi:10.1109/tits.2021.3139738 fatcat:p2mkawtrsbaepj4zk24xhyl2oa

MARVEL - D7.2: Market Analysis and Preliminary Business Modelling

Elena González
2021 Zenodo  
Moreover, it will conduct a comprehensive market study using different analytical tools as necessary (PEST and SWOT analysis, questionnaires, annual company reports, analysis reports, etc.).  ...  It will also drive both the business and the technical activities of the ecosystem and prepare for the long-term sustainability and potential commercialisation uptake to the primary market segments.  ...  computing framework, that enables multi-modal perception and intelligence for AV scene recognition, event detection in a smart city environment.  ... 
doi:10.5281/zenodo.5463954 fatcat:5saz2e5ydze5vj5jxbz2kzov4a

Fog Assisted Cloud Models for Smart Grid Architectures- Comparison Study and Optimal Deployment [article]

Md. Muzakkir Hussain, Mohammad Saad Alam, M.M. Sufyan Beg
2018 arXiv   pre-print
Fog Computing (FC) extends the processing capabilities into the edge of the network, offering location-awareness, low latency, and latency-sensitive analytics for mission critical requirements of SG.  ...  Comprehensive evaluation of proposed framework on real world parameters shows that for an infrastructure with nearly 50% applications requesting real-time services, the overall service latency for fog  ...  We highlight some key SG characteristics that motivate the analytics utilities to relinquish the current cloud adoption and opt for analytics at the edges of the SG networks. A.  ... 
arXiv:1805.09254v1 fatcat:bnddfokhqbavvdqg36zec4j6jq

Smart computing and cyber technology for cyberization

Xiaokang Zhou, Flavia C. Delicato, Kevin I-Kai Wang, Runhe Huang
2020 World wide web (Bussum)  
They would also like to express their heartfelt gratitude to the Editorsin-Chief, for giving us this opportunity, and the members of the Editorial Staff for their support during the process.  ...  Acknowledgments The guest editors would like to thank all the authors and the reviewers for their hard work and for making possible this Special Issue.  ...  In the paper "An Accurate Multi-Modal Biometric Identification System for Person Identification via Fusion of Face and Finger Print" [28] , a multi-modal person identification approach is proposed by  ... 
doi:10.1007/s11280-019-00773-y fatcat:odaovo5s2jeu7poik5wr3cgrpi
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