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Scanning the Issue

Azim Eskandarian
2022 IEEE transactions on intelligent transportation systems (Print)  
The authors take into account the integration of blockchain and federated learning in vehicular networks as a direction for future research.  ...  Optimized Speed Trajectories for Cyclists, Based on Personal Preferences and Traffic Light Information-A Stochastic Dynamic Programming Approach A. Dabiri, A. Hegyi, and S.  ...  The framework supports an automatic advisory tool that aims to find the best carpool solutions for each individual.  ... 
doi:10.1109/tits.2022.3141513 fatcat:gvywr655cvgolg7rfjrqmt33b4

Scanning the Issue

Azim Eskandarian
2019 IEEE transactions on intelligent transportation systems (Print)  
Then, both static and dynamic urban features relevant to unmet demand are extracted from data sets in different domains.  ...  This paper developed a general framework for predicting the unmet demand in the future time slots for emerging on-demand transport services, such as Uber, DiDi, and GoGoVan.  ...  This paper develops a terrain-based localization approach, which is robust to braking events.  ... 
doi:10.1109/tits.2019.2926819 fatcat:oodbtsyfvjhsbpc2nmbulgeqda

Scanning the Issue

Azim Eskandarian
2020 IEEE transactions on intelligent transportation systems (Print)  
In this article, an innovative and intelligent method based on deep learning and image processing technologies is proposed for online condition monitoring of the pantograph slide plate.  ...  modalities of communication should be used by AVs, what information should be considered by algorithmic solutions for accurate prediction of pedestrians' intentions, and what behavioral studies are required  ...  AKBING is based on an additive kernel-support vector machine (AKSVM) and is implemented using the binarized normed gradient.  ... 
doi:10.1109/tits.2020.2972652 fatcat:ppev3ra7hbeopio2yqbbf32gbu

Scanning the Issue

Azim Eskandarian
2020 IEEE transactions on intelligent transportation systems (Print)  
Representative approaches handling the risks from each factor are reviewed, and established performance metrics for drivability assessment are summarized.  ...  For further investigation in congested traffic stream, they simulated a group of vehicles by adding an error term to represent the driver's unexpected behavior.  ...  A geographic information system (GIS) is utilized to provide geolocation, environmental, and contextual information.  ... 
doi:10.1109/tits.2020.3008809 fatcat:etol5qoilvdnbj6gtjxk3gheaa

Scanning the Issue

Azim Eskandarian
2022 IEEE transactions on intelligent transportation systems (Print)  
Scanning the Issue Beginning with an emphasis on data modeling, this article presents a systematic review, challenges, and perspectives of data-driven fault detection and diagnosis (FDD) methods for traction  ...  Scene Independency Matters: An Empirical Study of Scene Dependent and Scene Independent Evaluation for CNN-Based Change Detection M. Mandal and S. K.  ... 
doi:10.1109/tits.2022.3152066 fatcat:szsznss35fc7rf43edw6xsibya

Scanning the Issue

Azim Eskandarian
2021 IEEE transactions on intelligent transportation systems (Print)  
Nickray This article proposes a new dynamic multilayer and fogcloud-based advance route guidance system architecture in order to detect and ease the road congestion.  ...  pedestrian, vehicle and object detection applications in the automotive environment, and discusses the remaining challenges to achieving the required level of object detection performance for safe autonomous  ...  Event detection is then achieved by calculating the similarity of the results predicted through the bagging tree algorithm with the corresponding templates extracted from the experience datasets, while  ... 
doi:10.1109/tits.2020.3044830 fatcat:mmamywaconchdnynve3qm6eip4

Scanning the Issue

Petros Ioannou, A. V. Bal Balakrishnan
2018 IEEE transactions on intelligent transportation systems (Print)  
in the correctness of the information supplied by the total system.  ...  Berbineau This paper provides an overview of the past and current literature discussing the global navigation satellite system (GNSS) integrity, which is defined as a measure of trust that can be placed  ...  , environmental, and social benefits.  ... 
doi:10.1109/tits.2018.2866887 fatcat:3brvnbxecnegbdwnf5f56cg4ey

Mining the change of event trends for decision support in environmental scanning

Duen-Ren Liu, Meng-Jung Shih, Churn-Jung Liau, Chin-Hui Lai
2009 Expert systems with applications  
The conventional technique for supporting environmental scanning is event detection from text documents such as news stories.  ...  In this work, we propose an event change detection (ECD) approach that combines association rule mining and change mining techniques.  ...  Acknowledgements This research was supported in part by the National Science Council of the Taiwan (Republic of China) under the Grant NSC 95-2416-H-009-002.  ... 
doi:10.1016/j.eswa.2007.10.016 fatcat:dvpzaifje5aihfqtzbesmceika

Scanning the Issue

Azim Eskandarian
2022 IEEE transactions on intelligent transportation systems (Print)  
This article investigates the influence of an external humanmachine interface (eHMI) for automated vehicles on pedestrian behavior in a parking lot.  ...  In total, 90 subjects from China, South Korea, and the USA assume a pedestrian's role in a virtual reality-based pedestrian simulator and experience three encounter scenarios with an automated vehicle.  ...  Di Salvo The article deals with an evacuation modeling approach based on a discrete-time stochastic process formulation of dynamic loading models of transport networks for decision support during emergencies  ... 
doi:10.1109/tits.2022.3160062 fatcat:4gklzaonfzcehnvps6oge35fwe

Scanning the Issue

Azim Eskandarian
2021 IEEE transactions on intelligent transportation systems (Print)  
Presented in this article is a novel method for the mapping and semantic modeling of an underground parking lot using 3D point clouds collected by a low-cost backpack laser scanning (BLS) or LiDAR system  ...  /TITS.2021.3052540 as the weight of registration, which modifies registration failure caused by the lack of features in sparse point clouds; 2) a robust submap-based strategy for loop closure detection  ...  Kaloxylos A regional split of operators is one possible approach to support multi-operator infrastructure-based cellular V2V communication for fifth-generation (5G) vehicular services.  ... 
doi:10.1109/tits.2021.3052540 fatcat:wvccn3i32jdaxoov6mibk2tlku

Environmental Scanning and Knowledge Representation for the Detection of Organised Crime Threats [chapter]

Ben Brewster, Simon Andrews, Simon Polovina, Laurence Hirsch, Babak Akhgar
2014 Lecture Notes in Computer Science  
ePOOLICE aims at developing an efficient and effective strategic early warning system that utilises environmental scanning for the early warning and detection of current, emergent and future organised  ...  Central to this concept is the use of environmental scanning to detect 'weak signals' in the external environment to monitor and identify emergent and future threats prior to their materialization into  ...  The prediction of future organised criminal threats: Using environmental scanning it is possible to strategically assess the potential for future threats based upon historical data, patterns, and indicators  ... 
doi:10.1007/978-3-319-08389-6_22 fatcat:hi4ziqxydjggzpekzewbhl7xdm

Spam Mail Scanning Using Machine Learning Algorithm

Asma Bibi
2020 Journal of Computers  
With the passage of time emails are used for advertisement, spreading virus and fraud email for plaguing users of the internet.  ...  In this paper we reflect on the classifier which is good for text classification.  ...  The second approach used for email spam detection is header based approach, in which the fields other than body of emails are extracted for classification.  ... 
doi:10.17706/jcp.15.2.73-84 fatcat:qwvt4yzyqngs3f7vzq73wuotym

Scanning the Issue

Azim Eskandarian
2020 IEEE transactions on intelligent transportation systems (Print)  
For automated guided vehicle (AGV) systems with undistinguishable and uncontrollable events, an approach is presented to design a maximally permissive controller preventing AGVs from collisions.  ...  LMI-Based Synthesis of String-Stable Controller for Cooperative Adaptive Cruise Control Y. Zhu, H. He, and D.  ...  Wang A two-step approach is proposed for automated detection and reconstruction of three-dimensional (3-D) highway curves from mobile laser scanning (MLS) point clouds.  ... 
doi:10.1109/tits.2020.3031998 fatcat:bkprv5oa25e3zhoj23nbrprj6e

Journal Scan

U. C. Ojha
2015 Indian Journal of Sleep Medicine  
Data from PDs (N = 497) were used for analyses.  ...  CONCLUSIONS: There are different work and human factors underlying FAW among PDs.The Chalder Fatigue Questionnaire might be useful in measuring fatigue in this group and in detecting PDs at high risk of  ...  Data were extracted by a pair of independent reviewers and synthesised using a meta narrative approach.  ... 
doi:10.5005/ijsm-10-4-165 fatcat:eevvf37g6vdgze2vdsn5gtynia

3D Scanning: A Comprehensive Survey [article]

Morteza Daneshmand, Ahmed Helmi, Egils Avots, Fatemeh Noroozi, Fatih Alisinanoglu, Hasan Sait Arslan, Jelena Gorbova, Rain Eric Haamer, Cagri Ozcinar, Gholamreza Anbarjafari
2018 arXiv   pre-print
This paper provides an overview of 3D scanning methodologies and technologies proposed in the existing scientific and industrial literature.  ...  Moreover, outlier detection and surface fitting procedures are discussed concisely, which are necessary post-processing stages.  ...  In order to automatically extract eroded and grass-covered, i.e. non-eroded, parts of selected 3D point clouds of the scene, they presented an approach applied on object-based image classification with  ... 
arXiv:1801.08863v1 fatcat:rxp5so32mragrmsixcn7pgpqme
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