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S

Sutharshan Rajasegarar

Deakin University

35H-index
171Paper Count
6.5KCitation Count
Published Papers 53
Publication Date
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Hybrid Kolmogorov-Arnold and Graph Attention Networks for Gold Price Forecasting Under Uncertainty
errKNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT, KSEM 2025, PT II
IF0
err2026-01-01
err0
PREAI
errLe, Dat; Rajasegarar, Sutharshan; Luo, Wei; Nguyen, Thanh Thi; Angelova, Maia
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errSave
Fractal Analysis of Ball Movement Maps for Team Performance Evaluation in Association Football
errSPORTS ANALYTICS, ISACE 2025
IF0
err2026-01-01
err0
PREAI
errBandara, Ishara; Shelyag, Sergiy; Rajasegarar, Sutharshan; Dwyer, Daniel B.; Kim, Eun-Jin; Angelova, Maia
errShare
errSave
Semantic Information Extraction with Language Models for Zero-Day Attack Detection
errKNOWLEDGE SCIENCE, ENGINEERING AND MANAGEMENT, KSEM 2025, PT V
IF0
err2026-01-01
err0
PREAI
errKarunarathne, Shyamali Sinali; Rajasegarar, Sutharshan; Pan, Lei
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errSave
EDRanIc: spatiotemporal analysis of event distribution consistency in association football
errEngineering Computations
IF1.9
err2025-12-01
err0
PREAI
errBandara, Ishara; Shelyag, Sergiy; Rajasegarar, Sutharshan; Dwyer, Dan; Kim, Eun-jin; Angelova, Maia
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errSave
Enhancing real estate prediction with entropy-based pattern analysis and economic sentiment integration
errENGINEERING COMPUTATIONS
IF1.9
err2025-11-01
err0
PREAI
errLe, Dat; Rajasegarar, Sutharshan; Luo, Wei; Nguyen, Thanh Thi; Angelova, Maia
errShare
errSave
EGCN: Entropy-based graph convolutional network for anomalous pattern detection and forecasting in real estate markets
errPLOS ONE
IF2.6
err2025-10-16
err0
PREAI
errLe, Dat; Rajasegarar, Sutharshan; Luo, Wei; Nguyen, Thanh Thi; Vo, Nhi; Nguyen, Quang; Angelova, Maia
errShare
errSave
A sequential multi-agent reinforcement learning framework for different action spaces
errEXPERT SYSTEMS WITH APPLICATIONS
IF7.5
err2024-12-01
err0
PREAI
errTian, Shucong; Yang, Meng; Xiong, Rongling; He, Xingxing; Rajasegarar, Sutharshan
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errSave
Risk-constrained community battery utilisation optimisation for electric vehicle charging with photovoltaic resources
errJOURNAL OF ENERGY STORAGE
IF9.8
err2024-09-01
err1
errOAAI
errGholami, Khalil; Nazari, Asef; Thiruvady, Dhananjay; Moghaddam, Valeh; Rajasegarar, Sutharshan; Chiu, Wei-Yu
errShare
errSave
Quantum deep learning-based anomaly detection for enhanced network security
errQUANTUM MACHINE INTELLIGENCE
IF4.4
err2024-05-02
err5
PREAI
errHdaib, Moe; Rajasegarar, Sutharshan; Pan, Lei
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errSave
Winning With Chaos in Association Football: Spatiotemporal Event Distribution Randomness Metric for Team Performance Evaluation
errIEEE ACCESS
IF3.6
err2024-01-01
err1
errOAAI
errBandara, Ishara; Shelyag, Sergiy; Rajasegarar, Sutharshan; Dwyer, Dan; Kim, Eun-Jin; Angelova, Maia
errShare
errSave
LabelGen: An Anomaly Label Generative Framework for Enhanced Graph Anomaly Detection
errIEEE ACCESS
IF3.6
err2024-01-01
err0
errOAAI
errXia, Siqi; Rajasegarar, Sutharshan; Pan, Lei; Leckie, Christopher; Erfani, Sarah M.; Chan, Jeffrey
errShare
errSave
Deakin microgrid digital twin and analysis of AI models for power generation prediction
errENERGY CONVERSION AND MANAGEMENT-X
IF7.6
err2023-04-01
err14
errOAAI
errNatgunanathan, Iynkaran; Mak-Hau, Vicky; Rajasegarar, Sutharshan; Anwar, Adnan
errShare
errSave
Evolving graph-based video crowd anomaly detection
errVISUAL COMPUTER
IF2.9
err2023-01-30
err11
PREAI
errYang, Meng; Feng, Yanghe; Rao, Aravinda S.; Rajasegarar, Sutharshan; Tian, Shucong; Zhou, Zhengchun
errShare
errSave
An efficient deep neural model for detecting crowd anomalies in videos
errAPPLIED INTELLIGENCE
IF3.5
err2022-11-25
err3
PREAI
errYang, Meng; Tian, Shucong; Rao, Aravinda S.; Rajasegarar, Sutharshan; Palaniswami, Marimuthu; Zhou, Zhengchun
errShare
errSave
P2OP-Plant Pathology on Palms: A deep learning-based mobile solution for in-field plant disease detection
errCOMPUTERS AND ELECTRONICS IN AGRICULTURE
IF8.9
err2022-11-01
err9
PREAI
errJanarthan, Sivasubramaniam; Thuseethan, Selvarajah; Rajasegarar, Sutharshan; Yearwood, John
errShare
errSave
Multi-attention graph neural networks for city-wide bus travel time estimation using limited data
errEXPERT SYSTEMS WITH APPLICATIONS
IF7.5
err2022-09-01
err22
PREAI
errMa, Jiaman; Chan, Jeffrey; Rajasegarar, Sutharshan; Leckie, Christopher
errShare
errSave
EmoSeC: Emotion recognition from scene context
errNEUROCOMPUTING
IF6.5
err2022-07-01
err11
PREAI
errThuseethan, Selvarajah; Rajasegarar, Sutharshan; Yearwood, John
errShare
errSave
Deep Continual Learning for Emerging Emotion Recognition
errIEEE TRANSACTIONS ON MULTIMEDIA
IF9.7
err2022-01-01
err15
PREAI
errThuseethan, Selvarajah; Rajasegarar, Sutharshan; Yearwood, John
errShare
errSave
Visual Structural Assessment and Anomaly Detection for High-Velocity Data Streams
errIEEE TRANSACTIONS ON CYBERNETICS
IF10.5
err2021-12-01
err9
PREAI
errRathore, Punit; Kumar, Dheeraj; Bezdek, James C.; Rajasegarar, Sutharshan; Palaniswami, Marimuthu
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errSave
A Novel Insider Attack and Machine Learning Based Detection for the Internet of Things
erracm transactions on internet technology
IF3.7
err2021-07-15
err17
PREAI
errChowdhury, Morshed; Ray, Biplob; Chowdhury, Sujan; Rajasegarar, Sutharshan
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errSave

Research Directions

No research directions
Co-authors
Cooperation Journals
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James C. Bezdek
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M
Muhammad Ali Imran
H-index: 84 · Papers: 2.1K
M
Marimuthu Palaniswami
H-index: 69 · Papers: 740
J
Jemal Abawajy
H-index: 59 · Papers: 519
J
James M. Keller
H-index: 53 · Papers: 678
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