By Dr Basem Suleiman

Book Chapters

Masurkar H; Suleiman B; Yaqub W; Alibasa MJ, 2025, 'Are Fact Checkers Effective in the Post Truth World? Assessing Impact of Fact Checkers Cross Medium and Platforms', in , pp. 30 - 40, http://dx.doi.org/10.1007/978-981-96-0567-5_3

Bartlett A; Yaqub W; Suleiman B; Mohanty M, 2025, 'Misinformation in Reels, Influence of Contextual Superimposed Texts in Short Videos', in , pp. 3 - 14, http://dx.doi.org/10.1007/978-981-96-0567-5_1

Iqbal A; Yaqub W; Suleiman B; Mohanty M, 2025, 'What Did The People Say? Evaluating the Effect of Comment Summarisation Tags on Perceived News Credibility Using Qualitative Approach', in , pp. 15 - 29, http://dx.doi.org/10.1007/978-981-96-0567-5_2

Suleiman B; Anaissi A; Yan W; Bello A; Zou S; Tong LNM, 2024, 'A Federated Learning Anomaly Detection Approach for IoT Environments', in , pp. 206 - 218, http://dx.doi.org/10.1007/978-3-031-56950-0_18

Shrivastava T; Suleiman B; Alibasa MJ, 2024, 'Hybrid Models for Predicting Cryptocurrency Price Using Financial and Non-Financial Indicators', in , pp. 177 - 191, http://dx.doi.org/10.1007/978-981-99-8696-5_13

Suleiman B; Alibasa MJ; Chang YY; Anaissi A, 2024, 'Predictive Auto-scaling: LSTM-Based Multi-step Cloud Workload Prediction', in , pp. 5 - 16, http://dx.doi.org/10.1007/978-981-97-0989-2_1

Leung CYC; Suleiman B; Alibasa MJ; Al-Naymat G, 2023, 'Anonymous Yet Alike: A Privacy-Preserving DeepProfile Clustering for Mobile Usage Patterns', in , pp. 81 - 100, http://dx.doi.org/10.1007/978-3-031-34776-4_5

Alibasa MJ; Suleiman B; Bello A; Anaissi A; Yan Q; Chen S, 2023, 'Cloud Resources Usage Prediction Using Deep Learning Models', in , pp. 443 - 452, http://dx.doi.org/10.1007/978-3-031-33743-7_36

Jing Z; Suleiman B; Yaqub W; Mohanty M, 2023, 'Dissemination of Fact-Checked News Does Not Combat False News: Empirical Analysis', in , pp. 122 - 133, http://dx.doi.org/10.1007/978-981-99-7254-8_10

Zhao J; Suleiman B; Alibasa MJ, 2023, 'Feature Encoding by Location-Enhanced Word2Vec Embedding for Human Activity Recognition in Smart Homes', in , pp. 191 - 202, http://dx.doi.org/10.1007/978-3-031-34776-4_11

Zhang Y; Suleiman B; Alibasa MJ, 2023, 'FedGroup: A Federated Learning Approach for Anomaly Detection in IoT Environments', in , pp. 121 - 132, http://dx.doi.org/10.1007/978-3-031-34776-4_7

Desa SAJ; Suleiman B; Yaqub W, 2023, 'Heart Rate-Based Identification of Users of IoT Wearables: A Supervised Learning Approach', in , pp. 389 - 397, http://dx.doi.org/10.1007/978-3-031-36021-3_41

Anaissi A; D’souza K; Suleiman B; Bekhit M; Alyassine W, 2023, 'Heterogeneous Transfer Learning in Structural Health Monitoring for High Rise Structures', in , pp. 405 - 417, http://dx.doi.org/10.1007/978-3-031-35308-6_34

Osop H; Suleiman B; Alibasa MJ; Wrigley D; Helsham A; Asmaro A, 2023, 'Improving Patients’ Length of Stay Prediction Using Clinical and Demographics Features Enrichment', in , pp. 120 - 128, http://dx.doi.org/10.1007/978-3-031-36021-3_9

Hunag Y; Farid F; Suleiman B, 2023, 'Predicting the Relationship Between Meal Frequency and Type 2 Diabetes: Empirical Study Using Machine and Deep Learning', in Studies in Computational Intelligence, pp. 235 - 257, http://dx.doi.org/10.1007/978-3-031-42112-9_11

Suleiman B; Anaissi A; Xiao Y; Yaqub W; Raju AS; Alyassine W, 2023, 'Supervised Learning-Based Indoor Positioning System Using WiFi Fingerprints', in , pp. 56 - 71, http://dx.doi.org/10.1007/978-3-031-33743-7_5

Graham MLW; Zhu H; Osop H; Suleiman B; Zhang Y; Wang R; Xu X, 2023, 'TweetVi: A Tweet Visualisation Dashboard for Automatic Topic Classification and Sentiment Analysis', in , pp. 159 - 166, http://dx.doi.org/10.1007/978-981-99-8085-7_14

Anaissi A; Suleiman B, 2023, '$$B^2$$-FedGAN: Balanced Bi-directional Federated GAN', in Lecture Notes in Computer Science, Springer Nature Switzerland, pp. 380 - 392, http://dx.doi.org/10.1007/978-3-031-35995-8_27

Osop H; Suleiman B; Lakhdari A, 2022, '14 Days Later: Temporal Topical Shifts in Covid-19 Related Tweets After Pandemic Declaration', in , pp. 358 - 369, http://dx.doi.org/10.1007/978-3-031-05061-9_26

Anaissi A; Suleiman B; Alyassine W, 2022, 'A Personalized Federated Learning Algorithm for One-Class Support Vector Machine: An Application in Anomaly Detection', in , pp. 373 - 379, http://dx.doi.org/10.1007/978-3-031-08760-8_31

Suleiman B; Anaissi A; Alibasa MJ; Truong H, 2022, 'Multi-contextual Recommender Using 3D Latent Factor Models and Online Tensor Decomposition', in , pp. 276 - 290, http://dx.doi.org/10.1007/978-3-031-08751-6_20

Zhou B; Suleiman B; Yaqub W, 2021, 'Aesthetic-Aware Recommender System for Online Fashion Products', in , pp. 292 - 304, http://dx.doi.org/10.1007/978-3-030-92185-9_24

Suleiman B; Lu K; Chan HW; Alibasa MJ, 2021, 'DeepPatterns: Predicting Mobile Apps Usage from Spatio-Temporal and Contextual Features', in , pp. 811 - 818, http://dx.doi.org/10.1007/978-3-030-91431-8_58

Journal articles

Ullah I; Hassan N; Gill SS; Suleiman B; Ahanger TA; Shah Z; Qadir J; Kanhere SS, 2024, 'Privacy preserving large language models: ChatGPT case study based vision and framework', Iet Blockchain, 4, pp. 706 - 724, http://dx.doi.org/10.1049/blc2.12091

Anaissi A; Suleiman B; Alyassine W; Zandavi SM, 2024, 'A fast parallel tensor decomposition with optimal stochastic gradient descent: an application in structural damage identification', International Journal of Data Science and Analytics, 17, pp. 359 - 371, http://dx.doi.org/10.1007/s41060-023-00402-y

Zhang Y; Suleiman B; Alibasa MJ; Farid F, 2024, 'Privacy-Aware Anomaly Detection in IoT Environments using FedGroup: A Group-Based Federated Learning Approach', Journal of Network and Systems Management, 32, http://dx.doi.org/10.1007/s10922-023-09782-9

Jia Y; Anaissi A; Suleiman B, 2024, 'ResNLS: An improved model for stock price forecasting', Computational Intelligence, 40, http://dx.doi.org/10.1111/coin.12608

Anaissi A; Suleiman B; Alyassine W; Zandavi SM, 2024, 'A fast parallel tensor decomposition with optimal stochastic gradient descent: an application in structural damage identification.', Int. J. Data Sci. Anal., 17, pp. 359 - 371

Marrapese A; Suleiman B; Ullah I; Kim J, 2024, 'A Novel Nuanced Conversation Evaluation Framework for Large Language Models in Mental Health.', CoRR, abs/2403.09705

Suleiman B; Alibasa MJ; Purwanto RW; Jeffries L; Anaissi A; Song J, 2024, 'Optimisation of federated learning settings under statistical heterogeneity variations.', CoRR, abs/2406.06340

Jia Y; Anaissi A; Suleiman B, 2024, 'ResNLS: An improved model for stock price forecasting.', Comput. Intell., 40

Baets CD; Suleiman B; Chitizadeh A; Razzak I, 2024, 'Vulnerability Detection in Smart Contracts: A Comprehensive Survey.', CoRR, abs/2407.07922

Huang A; Khushi M; Suleiman B, 2023, 'Regime-Specific Quant Generative Adversarial Network: A Conditional Generative Adversarial Network for Regime-Specific Deepfakes of Financial Time Series', Applied Sciences Switzerland, 13, http://dx.doi.org/10.3390/app131910639

Anaissi A; Zandavi SM; Suleiman B; Naji M; Braytee A, 2023, 'Multi-objective variational autoencoder: an application for smart infrastructure maintenance', Applied Intelligence, 53, pp. 12047 - 12062, http://dx.doi.org/10.1007/s10489-022-04163-2

Liu X; Gao B; Suleiman B; You H; Ma Z; Liu Y; Anaissi A, 2023, 'Privacy-Preserving Personalized Fitness Recommender System P3FitRec: A Multi-level Deep Learning Approach', ACM Transactions on Knowledge Discovery from Data, 17, http://dx.doi.org/10.1145/3572899

Anaissi A; Suleiman B; Alyassine W, 2023, 'Personalised federated learning framework for damage detection in structural health monitoring', Journal of Civil Structural Health Monitoring, 13, pp. 295 - 308, http://dx.doi.org/10.1007/s13349-022-00615-y

Sankaran L; Saleema JS; Suleiman B, 2023, 'Policies and metrics for schedulers in cloud data-centers using CloudSim simulator', International Journal of Data Science and Analytics, http://dx.doi.org/10.1007/s41060-023-00478-6

Liu X; Gao B; Suleiman B; You H; Ma Z; Liu Y; Anaissi A, 2023, 'Privacy-Preserving Personalized Fitness Recommender System P3FitRec: A Multi-level Deep Learning Approach.', ACM Trans. Knowl. Discov. Data, 17, pp. 76:1 - 76:1

Ahamed F; Farid F; Suleiman B; Jan Z; Wahsheh LA; Shahrestani S, 2022, 'An Intelligent Multimodal Biometric Authentication Model for Personalised Healthcare Services', Future Internet, 14, http://dx.doi.org/10.3390/fi14080222

Anaissi A; Suleiman B; Zandavi SM, 2021, 'Online Tensor-Based Learning Model for Structural Damage Detection', ACM Transactions on Knowledge Discovery from Data, 15, http://dx.doi.org/10.1145/3451217

Anaissi A; Suleiman B, 2021, 'A Personalized Federated Learning Algorithm: an Application in Anomaly Detection.', CoRR, abs/2111.02627

Wang K; Yaqub W; Lakhdari A; Suleiman B, 2021, 'Combating fake news by empowering fact-checked news spread via topology-based interventions.', CoRR, abs/2107.05016

Yaqub W; Mohanty M; Suleiman B, 2021, 'Image-Hashing-Based Anomaly Detection for Privacy-Preserving Online Proctoring.', CoRR, abs/2107.09373

Anaissi A; Suleiman B; Zandavi SM, 2021, 'Online Tensor-Based Learning Model for Structural Damage Detection.', ACM Trans. Knowl. Discov. Data, 15, pp. 107:1 - 107:1

Lakhdari A; Bouguettaya A; Mistry S; Neiat AG; Suleiman B, 2020, 'Elastic Composition of Crowdsourced IoT Energy Services', , http://arxiv.org/abs/2011.06771v1

Anaissi A; Suleiman B; Zandavi SM, 2020, 'NeCPD: An Online Tensor Decomposition with Optimal Stochastic Gradient Descent', , http://arxiv.org/abs/2003.08844v1

Anaissi A; Suleiman B; Zandavi SM, 2020, 'Online Tensor-Based Learning for Multi-Way Data', , http://arxiv.org/abs/2003.04497v1

AbdullGaffar B; Abdul Hameed B; Fodeh S; Sreeram R, 2020, 'Concomitant Gouty and Tuberculous Granulomatous Arthritis.', Int J Surg Pathol, 28, pp. 288 - 289, http://dx.doi.org/10.1177/1066896919865778

Suleiman B; Sakr S; Jeffery R; Liu A, 2011, 'On Understanding the Economics and Elasticity Challenges of Business Applications Deployed on Public Cloud Infrastructure', Journal of Internet Services and Applications, 4, pp. 1 - 21, http://dx.doi.org/10.1007/s13174-011-0050-y

Suleiman B; Ishikawa F, 2009, 'A constraint-based approach for developing consistent contracts in composite services', Services 2009 5th 2009 World Congress on Services, pp. 392 - 399, http://dx.doi.org/10.1109/SERVICES-I.2009.15

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