Konstantinos P. Demestichas

Orcid: 0000-0002-8858-6389

According to our database1, Konstantinos P. Demestichas authored at least 70 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
FoGGAN: Generating Realistic Parkinson's Disease Freezing of Gait Data Using GANs.
Sensors, October, 2023

The Effectiveness of Zero-Day Attacks Data Samples Generated via GANs on Deep Learning Classifiers.
Sensors, January, 2023

A Distributed Big Data Analytics Architecture for Vehicle Sensor Data.
Sensors, 2023

Malware Image Generation and Detection Method Using DCGANs and Transfer Learning.
IEEE Access, 2023

2022
A Quality Control Methodology for Heterogeneous Vehicular Data Streams.
Sensors, 2022

Internet of Things Technologies and Machine Learning Methods for Parkinson's Disease Diagnosis, Monitoring and Management: A Systematic Review.
Sensors, 2022

Applications of Fusion Techniques in E-Commerce Environments: A Literature Review.
Sensors, 2022

A Machine Learning-Based Method for Content Verification in the E-Commerce Domain.
Inf., 2022

Knowledge Engineering and Ontology for Crime Investigation.
Proceedings of the Artificial Intelligence Applications and Innovations, 2022

Ecological Impact Assessment Framework for areas affected by Natural Disasters.
Proceedings of the CBMI 2022: International Conference on Content-based Multimedia Indexing, Graz, Austria, September 14, 2022

A Methodology for enhancing Emergency Situational Awareness through Social Media.
Proceedings of the ARES 2022: The 17th International Conference on Availability, Reliability and Security, Vienna,Austria, August 23, 2022

2021
Performance of Machine Learning-Based Multi-Model Voting Ensemble Methods for Network Threat Detection in Agriculture 4.0.
Sensors, 2021

Driving Behaviour Analysis Using Machine and Deep Learning Methods for Continuous Streams of Vehicular Data.
Sensors, 2021

An Advanced Abnormal Behavior Detection Engine Embedding Autoencoders for the Investigation of Financial Transactions.
Inf., 2021

Editorial: Applying Machine Learning for Combating Fake News and Internet/Media Content Manipulation.
Appl. Soft Comput., 2021

Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic mapping study.
Appl. Soft Comput., 2021

Why Do Law Enforcement Agencies Need AI for Analyzing Big Data?
Proceedings of the Computer Information Systems and Industrial Management, 2021

2020
Common Representational Model and Ontologies for Effective Law Enforcement Solutions.
Vietnam. J. Comput. Sci., 2020

Survey on Security Threats in Agricultural IoT and Smart Farming.
Sensors, 2020

Food for Thought: Fighting Fake News and Online Disinformation.
IT Prof., 2020

Prediction and Visual Intelligence Platform for Detection of Irregularities and Abnormal Behaviour (short paper).
Proceedings of the Workshop on Machine Learning for Trend and Weak Signal Detection in Social Networks and Social Media, 2020

A Semantic Engine and an Ontology Visualization Tool for Advanced Crime Analysis.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

Prediction and Visual Intelligence for Security Information: The PREVISION H2020 Project.
Proceedings of the First Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2020), 2020

2019
Exploiting IoT and Big-Data for Building Multiservice Capable Intelligent Transportation Systems.
Proceedings of the 4th South-East Europe Design Automation, 2019

Artificial Ant Colonies for Adaptive Rewards in Serious Games.
Proceedings of the 2019 Conference on Artificial Life, 2019

The Identification and Creation of Ontologies for the Use in Law Enforcement AI Solutions - MAGNETO Platform Use Case.
Proceedings of the Computational Collective Intelligence - 11th International Conference, 2019

SocialTruth Project Approach to Online Disinformation (Fake News) Detection and Mitigation.
Proceedings of the 14th International Conference on Availability, Reliability and Security, 2019

2018
InLife: a platform enabling the exploitation of IoT and gamification in healthcare.
Proceedings of the 14th International Conference on Wireless and Mobile Computing, 2018

Road Traffic Prediction Using Artificial Neural Networks.
Proceedings of the 2018 South-Eastern European Design Automation, 2018

InLife Ecosystem: Creating Serious Games with IoT Features.
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2018

Pattern Recognition Solutions for Fake News Detection.
Proceedings of the Computer Information Systems and Industrial Management, 2018

InLife: Combining Real Life with Serious Games using IoT.
Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, 2018

2017
5G Communications: Energy Efficiency.
Mob. Inf. Syst., 2017

Dynamic Allocation of Backhaul Resources in Converged Wireless-Optical Networks.
IEEE J. Sel. Areas Commun., 2017

2016
Road to Next Generation Mobile Networks: An Evolutionary Dynamics Approach.
Mob. Networks Appl., 2016

Providing recommendations on location-based social networks.
J. Ambient Intell. Humaniz. Comput., 2016

A clustering based approach for energy efficient routing.
Proceedings of the IEEE Symposium on Computers and Communication, 2016

2015
Mesoscopic forecasting of vehicular consumption using neural networks.
Soft Comput., 2015

Socially Aware Heterogeneous Wireless Networks.
Sensors, 2015

On the predictability of next generation mobile network traffic using artificial neural networks.
Int. J. Commun. Syst., 2015

Energy-efficient routing based on vehicular consumption predictions of a mesoscopic learning model.
Appl. Soft Comput., 2015

On Intelligent Base Station Activation for Next Generation Wireless Networks.
Proceedings of the 6th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2015)/ The 5th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2015)/ Affiliated Workshops, 2015

2014
Dynamic Backhaul Resource Allocation: An Evolutionary Game Theoretic Approach.
IEEE Trans. Commun., 2014

Artificial Neural Networks for Traffic Prediction in 4G Networks.
Proceedings of the Wireless Internet - 8th International Conference, 2014

Intelligent and Efficient Car Management Application for Advanced Green Routing.
Proceedings of the Wireless Internet - 8th International Conference, 2014

Community Awareness in Academic Social Networks.
Proceedings of the 7th IEEE/ACM International Conference on Utility and Cloud Computing, 2014

Optimal Backhaul Resource Management in Wireless-Optical Converged Networks.
Proceedings of the Internet of Things. IoT Infrastructures, 2014

Introducing Community Awareness to Location-Based Social Networks.
Proceedings of the Internet of Things. IoT Infrastructures, 2014

Intelligent energy consumption estimation for electric vehicles: Business processes and services.
Proceedings of the International Conference on Connected Vehicles and Expo, 2014

2012
Advanced Driver Assistance System for Fully Electric Vehicles - Functionalities & use cases.
Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, 2012

2011
ECOGEM: A European Framework-7 Project.
IEEE Veh. Technol. Mag., 2011

Intelligent Advanced Driver Assistance System for Electric Vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2011

2009
Enhancing Channel Estimation in Cognitive Radio Systems by means of Bayesian Networks.
Wirel. Pers. Commun., 2009

Intelligent discovery of the capabilities of reconfiguration options in a cognitive wireless B3G context.
Soft Comput., 2009

Towards Anonymous Mobile Community services.
J. Netw. Comput. Appl., 2009

Application-layer community-oriented uplink scheduler for CDMA networks.
Int. J. Commun. Syst., 2009

2008
Modelling user preferences and configuring services in B3G devices.
Wirel. Networks, 2008

User Profile Modeling in the context of web-based learning management systems.
J. Netw. Comput. Appl., 2008

Enhancing cognitive radio systems with robust reasoning.
Int. J. Commun. Syst., 2008

Enhanced estimation of configuration capabilities in cognitive radio.
IEEE Commun. Mag., 2008

2007
Service configuration and user profiling in 4G terminals.
Wirel. Pers. Commun., 2007

A management scheme for distributed cross-layer reconfigurations in the context of cognitive B3G infrastructures.
Comput. Commun., 2007

Architecture and Scalability Issues for the Provision of Anonymous Real-Time Mobile Community Services.
Proceedings of the IEEE 18th International Symposium on Personal, 2007

Towards Ambient Community Services.
Proceedings of the 11th IEEE International Symposium on Distributed Simulation and Real-Time Applications, 2007

2006
Distributed Web-based Management Framework for Ambient Reconfigurable Services in the Intelligent Environment.
Mob. Networks Appl., 2006

Terminal Management and Intelligent Access Selection in Heterogeneous Environments.
Mob. Networks Appl., 2006

The Motive Concept - Enabling Mobile Terminals to Act as Sensors.
Proceedings of the WINSYS 2006, 2006

User Profiling and Preference Modelling in 4G Terminals.
Proceedings of the IEEE 17th International Symposium on Personal, 2006

Reconfigurations Selection in Cognitive, Beyond 3G, Radio Infrastructures.
Proceedings of the 1st International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications, 2006

2005
Intelligent Access Network Selection in Heterogeneous Networks - Simulation Results.
Proceedings of the 2nd IEEE International Symposium on Wireless Communication Systems, 2005


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