Dr MILENA RADENKOVIC's Outputs (39)

Deep learning solver unites SDGSAT-1 observations and Navier–Stokes theory for oceanic vortex streets (2024)
Journal Article
Gao, H., Huang, B., Chen, G., Xia, L., & Radenkovic, M. (2024). Deep learning solver unites SDGSAT-1 observations and Navier–Stokes theory for oceanic vortex streets. Remote Sensing of Environment, 315, Article 114425. https://doi.org/10.1016/j.rse.2024.114425

The world’s first scientific satellite for sustainable development goals (SDGSAT-1) provides valuable data about offshore small-scale ocean phenomena, including the Kármán vortex street phenomenon. Although the simulation of the oce... Read More about Deep learning solver unites SDGSAT-1 observations and Navier–Stokes theory for oceanic vortex streets.

Intelligent Sparse2Dense Profile Reconstruction for Predicting Global Subsurface Chlorophyll Maxima (2024)
Journal Article
Yu, Y., Huang, B., Radenkovic, M., Wang, T., & Chen, G. (2024). Intelligent Sparse2Dense Profile Reconstruction for Predicting Global Subsurface Chlorophyll Maxima. IEEE Transactions on Geoscience and Remote Sensing, 62, Article 4211013. https://doi.org/10.1109/tgrs.2024.3464850

Subsurface chlorophyll maximum (SCM) is a crucial ecological indicator for marine ecosystems. Previous studies have indicated that this phenomenon is globally widespread. Although the biogeochemical argo assimilation results have yielded positive res... Read More about Intelligent Sparse2Dense Profile Reconstruction for Predicting Global Subsurface Chlorophyll Maxima.

ARU2-Net: A Deep Learning Approach for Global-Scale Oceanic Eddy Detection (2024)
Journal Article
Geng, J., Gao, H., Huang, B., Radenkovic, M., & Chen, G. (2024). ARU2-Net: A Deep Learning Approach for Global-Scale Oceanic Eddy Detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 11997-12007. https://doi.org/10.1109/jstars.2024.3419175

Ocean eddies have a significant impact on marine ecosystems and the climate because they transport essential substances in the ocean. Detection of ocean eddies has become one of the most active topics in physical ocean research. In recent years, rese... Read More about ARU2-Net: A Deep Learning Approach for Global-Scale Oceanic Eddy Detection.

Global oceanic mesoscale eddies trajectories prediction with knowledge-fused neural network (2024)
Journal Article
Zhang, X., Huang, B., Chen, G., Ge, L., Radenkovic, M., & Hou, G. (2024). Global oceanic mesoscale eddies trajectories prediction with knowledge-fused neural network. IEEE Transactions on Geoscience and Remote Sensing, 62, Article 4205214. https://doi.org/10.1109/tgrs.2024.3388040

Efficient eddy trajectory prediction driven by multiinformation fusion can facilitate the scientific research of oceanography, while the complicated dynamics mechanism makes this issue challenging. Benefiting from ocean observing technology, the eddy... Read More about Global oceanic mesoscale eddies trajectories prediction with knowledge-fused neural network.

Instant deep sea debris detection for maneuverable underwater machines to build sustainable ocean using deep neural network (2023)
Journal Article
Huang, B., Chen, G., Zhang, H., Hou, G., & Radenkovic, M. (2023). Instant deep sea debris detection for maneuverable underwater machines to build sustainable ocean using deep neural network. Science of the Total Environment, 878, Article 162826. https://doi.org/10.1016/j.scitotenv.2023.162826

Deep sea debris is any persistent man-made material that ends up in the deep sea. The scale and rapidly increasing amount of sea debris are endangering the health of the ocean. So, many marine communities are struggling for the objective of a clean,... Read More about Instant deep sea debris detection for maneuverable underwater machines to build sustainable ocean using deep neural network.

Oceanic Eddy Identification Using Pyramid Split Attention U-Net With Remote Sensing Imagery (2023)
Journal Article
Zhao, N., Huang, B., Yang, J., Radenkovic, M., & Chen, G. (2023). Oceanic Eddy Identification Using Pyramid Split Attention U-Net With Remote Sensing Imagery. IEEE Geoscience and Remote Sensing Letters, 20, Article 1500605. https://doi.org/10.1109/lgrs.2023.3243902

Oceanic eddy is the ubiquitous ocean flow phenomenon, which has been the key factor in the transportation of ocean energy and materials. Consequently, oceanographic understanding can be enhanced by the intelligent identification of eddy. State-of-the... Read More about Oceanic Eddy Identification Using Pyramid Split Attention U-Net With Remote Sensing Imagery.

Cyber Warfare, Security and Space Research: First International Conference, SpacSec 2021, Jaipur, India, December 9–10, 2021, Revised Selected Papers (2022)
Presentation / Conference Contribution
(2021, December). Cyber Warfare, Security and Space Research: First International Conference, SpacSec 2021, Jaipur, India, December 9–10, 2021, Revised Selected Papers. Presented at SpacSec 2021: International Conference on Cyber Warfare, Security and Space Research, Jaipur, India

This book constitutes selected papers from the first International Conference on Cyber Warfare, Security and Space Research, SpacSec 2021, held in Jaipur, India, in December 2021.

The 19 full and 6 short papers were thoroughly reviewed and selecte... Read More about Cyber Warfare, Security and Space Research: First International Conference, SpacSec 2021, Jaipur, India, December 9–10, 2021, Revised Selected Papers.

Resistance to Cybersecurity Attacks in a Novel Network for Autonomous Vehicles (2022)
Journal Article
Brocklehurst, C., & Radenkovic, M. (2022). Resistance to Cybersecurity Attacks in a Novel Network for Autonomous Vehicles. Journal of Sensor and Actuator Networks, 11(3), Article 35. https://doi.org/10.3390/jsan11030035

The increased interest in autonomous vehicles has led to the development of novel networking protocols in VANETS. In such a widespread safety critical application, security is paramount to the implementation of the networks. We view new autonomous ve... Read More about Resistance to Cybersecurity Attacks in a Novel Network for Autonomous Vehicles.

Resistance to Cybersecurity Attacks in a Novel Network for Autonomous Vehicles (2022)
Data
Brocklehurst, C., & Radenkovic, M. (2022). Resistance to Cybersecurity Attacks in a Novel Network for Autonomous Vehicles. [Data]. https://doi.org/10.3390/jsan11030035

The increased interest in autonomous vehicles has led to the development of novel networking protocols in VANETs In such a widespread safety-critical application, security is paramount to the implementation of the networks. We view new autonomous veh... Read More about Resistance to Cybersecurity Attacks in a Novel Network for Autonomous Vehicles.

Interdependent Multi-layer Spatial Temporal-based Caching in Heterogeneous Mobile Edge and Fog Networks (2019)
Presentation / Conference Contribution
Huynh, V. S. H., & Radenkovic, M. (2019, September). Interdependent Multi-layer Spatial Temporal-based Caching in Heterogeneous Mobile Edge and Fog Networks. Presented at 9th International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS 2019), Vienna, Austria

Applications and services hosted in the mobile edge/fog networks today (e.g., augmented reality, self-driving, and various cognitive applications) may suffer from limited network coverage and localized congestion due to dynamic mobility of users and... Read More about Interdependent Multi-layer Spatial Temporal-based Caching in Heterogeneous Mobile Edge and Fog Networks.

Contextual Dishonest Behaviour Detection for Cognitive Adaptive Charging in Dynamic Smart Micro-Grids (2019)
Presentation / Conference Contribution
Radenkovic, M., & Walker, A. (2019, January). Contextual Dishonest Behaviour Detection for Cognitive Adaptive Charging in Dynamic Smart Micro-Grids. Presented at IEEE/IFIP WONS 2019 15th Annual Conference 2019 15th Annual Conference on Wireless On-demand Network Systems and Services (WONS), Wengen, Switzerland

The emerging Smart Grid (SG) paradigm promises to address decreasing grid stability from thinning safe operating margins, meet continually rising demand from pervasive high capacity devices such as electric vehicles (EVs), and fully embrace the shift... Read More about Contextual Dishonest Behaviour Detection for Cognitive Adaptive Charging in Dynamic Smart Micro-Grids.

Exploring user behavioral data for adaptive cybersecurity (2019)
Journal Article
Addae, J. H., Sun, X., Towey, D., & Radenkovic, M. (2019). Exploring user behavioral data for adaptive cybersecurity. User Modeling and User-Adapted Interaction, 29(3), 701-750. https://doi.org/10.1007/s11257-019-09236-5

This paper describes an exploratory investigation into the feasibility of predictive analytics of user behavioral data as a possible aid in developing effective user models for adaptive cybersecurity. Partial least squares structural equation modelin... Read More about Exploring user behavioral data for adaptive cybersecurity.

Towards Better Understanding the Challenges of Reliable and Trust-Aware Critical Communications in the Aftermath of Disaster (2018)
Presentation / Conference Contribution
Radenkovic, M., Walker, A., & Bai, L. (2018, June). Towards Better Understanding the Challenges of Reliable and Trust-Aware Critical Communications in the Aftermath of Disaster. Presented at 2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018, Limassol, Cyprus

This paper seeks to better understand the highly multi-dimensional, multi-faceted challenges of meeting trust and reliability requirements in critical, disaster aftermath communication networks comprising heterogeneous groups of sensor equipped nodes... Read More about Towards Better Understanding the Challenges of Reliable and Trust-Aware Critical Communications in the Aftermath of Disaster.

Understanding complementary multi-layer collaborative heuristics for adaptive caching in heterogeneous mobile opportunistic networks (2018)
Presentation / Conference Contribution
Huynh, V. S. H., & Radenkovic, M. Understanding complementary multi-layer collaborative heuristics for adaptive caching in heterogeneous mobile opportunistic networks. Presented at The 14th International Wireless Communications and Mobile Computing Conference (IWCMC 2018)

Current research aims to deal with emerging challenges of the opportunistic discovery of content stored in remote mobile publishers and the delivery to the subscribers in heterogeneous mobile opportunistic networks. Innovative network and service arc... Read More about Understanding complementary multi-layer collaborative heuristics for adaptive caching in heterogeneous mobile opportunistic networks.

Understanding information centric layer of adaptive collaborative caching framework in mobile disconnection-prone networks (2018)
Presentation / Conference Contribution
Huynh, V. S. H., Radenkovic, M., & John, R. Understanding information centric layer of adaptive collaborative caching framework in mobile disconnection-prone networks. Presented at 14th International Wireless Communications and Mobile Computing Conference (IWCMC 2018)

Smart networks and services leverage in-network caching to improve transmission efficiency and support large amount of content sharing, decrease high operating costs and handle disconnections. In this paper, we investigate the complex challenges rela... Read More about Understanding information centric layer of adaptive collaborative caching framework in mobile disconnection-prone networks.

CognitiveCharge: disconnection tolerant adaptive collaborative and predictive vehicular charging (2018)
Presentation / Conference Contribution
Radenkovic, M., & Walker, A. CognitiveCharge: disconnection tolerant adaptive collaborative and predictive vehicular charging. Presented at 4th ACM MobiHoc Workshop on Experiences with the Design and Implementation of Smart Objects (Smartobjects '18)

Electric vehicles (EVs) are rapidly becoming more common and ownership is set to rise globally in coming years. The potential impacts of increased EVs on the electrical grid have been widely investigated and in its current state, existing grid infras... Read More about CognitiveCharge: disconnection tolerant adaptive collaborative and predictive vehicular charging.

Adaptive Real-Time Predictive Collaborative Content Discovery and Retrieval in Mobile Disconnection Prone Networks (2018)
Journal Article
Radenkovic, M., Huynh, . V. S. H., & Manzoni, P. (2018). Adaptive Real-Time Predictive Collaborative Content Discovery and Retrieval in Mobile Disconnection Prone Networks. IEEE Access, 6, 32188-32206. https://doi.org/10.1109/access.2018.2840040

Emerging mobile environments motivate the need for the development of new distributed technologies which are able to support dynamic peer to peer content sharing, decrease high operating costs, and handle intermittent disconnections. In this paper, w... Read More about Adaptive Real-Time Predictive Collaborative Content Discovery and Retrieval in Mobile Disconnection Prone Networks.

Integrating renewable energy resources into the smart grid: recent developments in information and communication technologies (2018)
Journal Article
Rehmani, M. H., Reisslein, M., Rachedi, A., Erol-Kantarci, M., & Radenkovic, M. (2018). Integrating renewable energy resources into the smart grid: recent developments in information and communication technologies. IEEE Transactions on Industrial Informatics, 14(7), 2814-2825. https://doi.org/10.1109/TII.2018.2819169

Rising energy costs, losses in the present-day electricity grid, risks from nuclear power generation, and global environmental changes are motivating a transformation of the conventional ways of generating electricity. Globally, there is a desire to... Read More about Integrating renewable energy resources into the smart grid: recent developments in information and communication technologies.

Measuring attitude towards personal data for adaptive cybersecurity (2017)
Journal Article
Addae, J. H., Brown, M., Sun, X., Towey, D., & Radenkovic, M. (2017). Measuring attitude towards personal data for adaptive cybersecurity. Information and Computer Security, 25(5), 560-579. https://doi.org/10.1108/ICS-11-2016-0085

© Emerald Publishing Limited. Purpose - This paper presents an initial development of a personal data attitude (PDA) measurement instrument based on established psychometric principles. The aim of the research was to develop a reliable measurement sc... Read More about Measuring attitude towards personal data for adaptive cybersecurity.

Collaborative cognitive content dissemination and query in heterogeneous mobile opportunistic networks (2017)
Presentation / Conference Contribution
Radenkovic, M., & Huynh, V. S. H. Collaborative cognitive content dissemination and query in heterogeneous mobile opportunistic networks. Presented at 3rd Workshop on Experiences with the Design and Implementation of Smart Objects, MobiCom 2017, Oct 2017, Snowbird, United States 2017

This paper investigates complex challenges of opportunistic discovery of content stored in remote mobile devices and delivery to the requesting nodes in heterogeneous mobile disconnection prone environments. We propose new latency aware collaborative... Read More about Collaborative cognitive content dissemination and query in heterogeneous mobile opportunistic networks.