Tony Jan

Orcid: 0000-0002-3114-8978

According to our database1, Tony Jan authored at least 53 papers between 1999 and 2025.

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Bibliography

2025
Survey on Federated Learning for Intrusion Detection System: Concept, Architectures, Aggregation Strategies, Challenges, and Future Directions.
ACM Comput. Surv., January, 2025

2024
HybOff: a Hybrid Offloading approach to improve load balancing in fog environments.
J. Cloud Comput., December, 2024

Recent Innovations in Footwear and the Role of Smart Footwear in Healthcare - A Survey.
Sensors, July, 2024

Watch the Skies: A Study on Drone Attack Vectors, Forensic Approaches, and Persisting Security Challenges.
Future Internet, July, 2024

Unmasking Banking Fraud: Unleashing the Power of Machine Learning and Explainable AI (XAI) on Imbalanced Data.
Inf., June, 2024

DeepChestGNN: A Comprehensive Framework for Enhanced Lung Disease Identification through Advanced Graphical Deep Features.
Sensors, May, 2024

Image Watermarking Using Discrete Wavelet Transform and Singular Value Decomposition for Enhanced Imperceptibility and Robustness.
Algorithms, 2024

Empowering Healthcare With IoMT: Evolution, Machine Learning Integration, Security, and Interoperability Challenges.
IEEE Access, 2024

Who is Watching Whom? Military and Civilian Drone: Vision Intelligence Investigation and Recommendations.
IEEE Access, 2024

2023
Reinforcement optimization for decentralized service placement policy in IoT-centric fog environment.
Trans. Emerg. Telecommun. Technol., November, 2023

Quantum Machine Learning for Security Assessment in the Internet of Medical Things (IoMT).
Future Internet, 2023

Ensemble Transfer Learning for Distinguishing Cognitively Normal and Mild Cognitive Impairment Patients Using MRI.
Algorithms, 2023

Deep Learning-Based Classification of Neurodegenerative Diseases Using Gait Dataset: A Comparative Study.
Proceedings of the International Conference on Robotics, Control and Vision Engineering, 2023

2022
Learning Analytics for Improved Course Delivery: Applications and Techniques.
Proceedings of the 6th International Conference on Digital Technology in Education, 2022

Alcoholic EEG Data Classification Using Weighted Graph-Based Technique.
Proceedings of the Health Information Science - 11th International Conference, 2022

2021
Remote Sensing Imagery Segmentation: A Hybrid Approach.
Remote. Sens., 2021

Sustainability of Load Balancing Techniques in Fog Computing Environment: Review.
Proceedings of the 18th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2021) / The 16th International Conference on Future Networks and Communications (FNC-2021) / The 11th International Conference on Sustainable Energy Information Technology, 2021

2020
Determining the Optimal Restricted Driving Zone Using Genetic Algorithm in a Smart City.
Sensors, 2020

Novel DTN Mobility-Driven Routing in Autonomous Drone Logistics Networks.
IEEE Access, 2020

Identification and Classification of Cyberbullying Posts: A Recurrent Neural Network Approach Using Under-Sampling and Class Weighting.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Visualization Approach for Malware Classification with ResNeXt.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Ensemble of Semi-Parametric Models for IoT Fog Modeling.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Big Data Analytics for Electricity Price Forecast.
Proceedings of the Web, Artificial Intelligence and Network Applications, 2019

2018
Boosted Probabilistic Neural Network for IoT Data Classification.
Proceedings of the 2018 IEEE 16th Intl Conf on Dependable, 2018

Ensemble of Semi-Supervised Models for IoT Resource Scheduling and Sharing.
Proceedings of the 2018 IEEE 16th Intl Conf on Dependable, 2018

Ada-Boosted Locally Enhanced Probabilistic Neural Network for IoT Intrusion Detection.
Proceedings of the Complex, Intelligent, and Software Intensive Systems, 2018

2010
VQSVM: A case study for incorporating prior domain knowledge into inductive machine learning.
Neurocomputing, 2010

2009
A bi-modal face recognition framework integrating facial expression with facial appearance.
Pattern Recognit. Lett., 2009

2008
Adaptive Multiple Experts System for personal identification using facial behaviour biometrics.
Proceedings of the International Workshop on Multimedia Signal Processing, 2008

An evaluation of bi-modal facial appearance+facial expression face biometrics.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

An adjustable combination of linear regression and modified probabilistic neural network for anti-spam filtering.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

A Multi-expert Classification Framework with Transferable Voting for Intrusion Detection.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2007
Facial behavior as behavior biometric? an empirical study.
Proceedings of the IEEE International Conference on Systems, 2007

A Hierarchical VQSVM for Imbalanced Data Sets.
Proceedings of the International Joint Conference on Neural Networks, 2007

Kernel-based Subspace Analysis for Face Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
Classify Unexpected News Impacts to Stock Price by Incorporating Time Series Analysis into Support Vector Machine.
Proceedings of the International Joint Conference on Neural Networks, 2006

Boosted Modified Probabilistic Neural Network (BMPNN) for Network Intrusion Detection.
Proceedings of the International Joint Conference on Neural Networks, 2006

Combine Vector Quantization and Support Vector Machine for Imbalanced Datasets.
Proceedings of the Artificial Intelligence in Theory and Practice, 2006

A multi-expert classification framework for network misuse de tection.
Proceedings of the Artificial Intelligence and Soft Computing, 2006

2005
Expression-invariant face recognition system using subspace model analysis.
Proceedings of the IEEE International Conference on Systems, 2005

Boat-generated acoustic target signal detection by use of an Adaptive Median CFAR and multi-frame integration algorithm.
Proceedings of the 13th European Signal Processing Conference, 2005

Machine Learning Techniques and Use of Event Information for Stock Market Prediction: A Survey and Evaluation.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

2004
Automated classification of female facial beauty by image analysis and supervised learning.
Proceedings of the Visual Communications and Image Processing 2004, 2004

Efficient video object classifier using locality-enhanced support vector machines.
Proceedings of the IEEE International Conference on Systems, 2004

Comparative beauty classification for pre-surgery planning.
Proceedings of the IEEE International Conference on Systems, 2004

Mean-shift background image modelling.
Proceedings of the 2004 International Conference on Image Processing, 2004

Face and Body Gesture Analysis for Multimodal HCI.
Proceedings of the Computer Human Interaction, 6th Asia Pacific Conference, 2004

2003
Face and Body Gesture Recognition for a Vision-Based Multimodal Analyzer.
Proceedings of the Visual Information Processing 2003, 2003

Neural network classifiers for automated video surveillance.
Proceedings of the NNSP 2003, 2003

Combination of Linear and General Regression Neural Network for Robust Short Term Financial Prediction.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

Suspicious Behavior Assessment for Visual Surveillance Using Neural Network Classifiers.
Proceedings of the International Conference on Imaging Science, Systems and Technology, 2003

Performance Evaluation of an Automated Classifier of Female Facial Beauty.
Proceedings of the International Conference on Imaging Science, Systems and Technology, 2003

1999
An adjustable model for linear to nonlinear regression.
Proceedings of the International Joint Conference Neural Networks, 1999


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