Securing Authentication and Trusted Migration of Weblets in the Cloud with Reduced Traffic. - John Panneerselvam; Stelios Sotiriadis; Nik Bessis; Nick Antonopoulos (EIDWT, 2012)

An Investigation of the Effect of Cloud Computing on Network Management. - John Panneerselvam; Lu Liu 001; Richard Hill; Yongzhao Zhan 001; Weining Liu (HPCC-ICESS, 2012)

User Experience Evaluation of Chinese Travel App Software. - Rongyan Xu; Lu Liu 001; John Panneerselvam (CIT, 2014)

A critical evaluation of the performance of virtualization technologies. - Hamdan Al Jabry; Lu Liu 001; Yingpu Zhu; John Panneerselvam (ChinaCom, 2014)

Credit-Based Incentives in Vehicular Ad Hoc Networks. - Yingpu Zhu; Lu Liu 001; John Panneerselvam; Liangmin Wang 001; Zhiyuan Li 002 (SOSE, 2014)

A Cloud-Oriented Services Self-Management Approach Based on Multi-agent System Technique. - Fu Hou; XinJun Mao; Wei Wu; Lu Liu 001; John Panneerselvam (UCC, 2014)

Workload Analysis for the Scope of User Demand Prediction Model Evaluations in Cloud Environments. - John Panneerselvam; Lu Liu 001; Nick Antonopoulos; Bo Yuan 004 (UCC, 2014)

Achieving dynamic load balancing through mobile agents in small world P2P networks. - Xiangjun Shen; Lu Liu 001; Zheng-Jun Zha; PeiYing Gu; Zhong-Qiu Jiang; Jiming Chen; John Panneerselvam (Comput. Networks, 2014)

A Critical Review of the Routing Protocols in Opportunistic Networks. - John Panneerselvam; Anthony Atojoko; Kim Smith; Lu Liu 001; Nick Antonopoulos (EAI Endorsed Trans. Ind. Networks Intell. Syst., 2014)

Efficient Event Detection in Social Media Data Streams. - Xiang Sun; Yan Wu 009; Lu Liu 001; John Panneerselvam (CIT/IUCC/DASC/PICom, 2015)

A Critical Analysis of the Efficiencies of Emerging Wireless Security Standards Against Network Attacks. - Karolis Vilius; Lu Liu 001; John Panneerselvam; Thomas Stimpson (INCoS, 2015)

A Cloud-Based Sustainable Business Model for Effective ICT Provision in Higher Education. - Fang Tao; John Panneerselvam; Thomas Holding; Lu Liu 001 (SOSE, 2015)

iMIG: Toward an Adaptive Live Migration Method for KVM Virtual Machines. - Jianxin Li 002; Jieyu Zhao; Yi Li; Lei Cui 003; Bo Li 005; Lu Liu 001; John Panneerselvam (Comput. J., 2015)

Latency-Aware Empirical Analysis of the Workloads for Reducing Excess Energy Consumptions at Cloud Datacentres. - John Panneerselvam; Lu Liu 001; Nick Antonopoulos; Marcello Trovati (SOSE, 2016)

Efficient estimation and control of WSANs for the greenhouse environment. - Xingzhen Bai; Maoyong Cao; Lu Liu 001; John Panneerselvam; Qiao Sun (UCC, 2016)

Mobilouds: An Energy Efficient MCC Collaborative Framework With Extended Mobile Participation for Next Generation Networks. - John Panneerselvam; James Hardy; Lu Liu 001; Bo Yuan 004; Nick Antonopoulos (IEEE Access, 2016)

RVLBPNN: A Workload Forecasting Model for Smart Cloud Computing. - Yao Lu; John Panneerselvam; Lu Liu 001; Yan Wu 009 (Sci. Program., 2016)

The Cost Function and Improvement Strategies of Service Quality of University Library under New Information Environments. - Yueqian Fan; John Panneerselvam; Lu Liu 001 (iThings/GreenCom/CPSCom/SmartData, 2017)

Characterisation of Hidden Periodicity in Large-Scale Cloud Datacentre Environments. - John Panneerselvam; Lu Liu 001; Nick Antonopoulos (iThings/GreenCom/CPSCom/SmartData, 2017)

An Optimal Travel Route Plan for Yangzhou Based on the Improved Floyd Algorithm. - Rongyan Xu; Dejun Miao; Lu Liu 001; John Panneerselvam (iThings/GreenCom/CPSCom/SmartData, 2017)

Collaborative Actuation of Wireless Sensor and Actuator Networks for the Agriculture Industry. - Xingzhen Bai; Lu Liu 001; Maoyong Cao; John Panneerselvam; Qiao Sun; Haixia Wang 002 (IEEE Access, 2017)

Analysis, Modelling and Characterisation of Zombie Servers in Large-Scale Cloud Datacentres. - John Panneerselvam; Lu Liu 001; James Hardy; Nick Antonopoulos (IEEE Access, 2017)

Datacentre Event Analysis for Knowledge Discovery in Large-Scale Cloud Environments. - John Panneerselvam; Lu Liu 001; Yao Lu (Cloud Computing, 2nd Ed., 2017)

Cloud Workload Analytics for Real-Time Prediction of User Request Patterns. - Hengjian Wang; John Panneerselvam; Lu Liu 001; Yao Lu; Xiaojun Zhai; Haider Ali 001 (HPCC/SmartCity/DSS, 2018)

InOt-RePCoN: Forecasting user behavioural trend in large-scale cloud environments. - John Panneerselvam; Lu Liu 001; Nick Antonopoulos (Future Gener. Comput. Syst., 2018)

An investigation into the impacts of task-level behavioural heterogeneity upon energy efficiency in Cloud datacentres. - John Panneerselvam; Lu Liu 001; Yao Lu; Nick Antonopoulos (Future Gener. Comput. Syst., 2018)

Hybrid recommendation-based quality of service prediction for sensor services. - Meiyu Wang; Leilei Shi; Lu Liu 001; Mariwan Ahmed; John Panneerselvam (Int. J. Distributed Sens. Networks, 2018)

CCLBR: Congestion Control-Based Load Balanced Routing in Unstructured P2P Systems. - Xiangjun Shen; Qing Chang; Lu Liu 001; John Panneerselvam; Zheng-Jun Zha (IEEE Syst. J., 2018)

An Efficient Indexing Model for the Fog Layer of Industrial Internet of Things. - Dejun Miao; Lu Liu 001; Rongyan Xu; John Panneerselvam; Yan Wu 009; Wei Xu (IEEE Trans. Ind. Informatics, 2018)

A prescriptive analytics approach for energy efficiency in datacentres. - John Panneerselvam (2018)

Exploring Network Embedding for Efficient Message Routing in Opportunistic Mobile Social Networks. - Bo Yuan 004; Ashiq Anjum; John Panneerselvam; Lu Liu 001 (ICDM Workshops, 2019)

Saving Victims in Moving Vehicles: an IoT based prediction model aided solution. - Olasunkanmi Matthew Alofe; Kaniz Fatema; John Panneerselvam; Fatih Kurugollu (MENACOMM, 2019)

Energy Optimization of Streaming Applications in IoT on NoC Based Heterogeneous MPSoCs using Re-Timing and DVFS. - Haider Ali 001; Umair Ullah Tariq; Lu Liu 001; John Panneerselvam; Xiaojun Zhai (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Data Aggregation Challenges in Fog Computing. - Mohammad Shahzad; John Panneerselvam; Lu Liu 001; Xiaojun Zhai (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Enhancing Localization of Mobile Robots in Distributed Sensor Environments for Reliable Proximity Service Applications. - Xingzhen Bai; Zhijing Zhang; Lu Liu 001; Xiaojun Zhai; John Panneerselvam; Leijiao Ge (IEEE Access, 2019)

TMEC: A Trust Management Based on Evidence Combination on Attack-Resistant and Collaborative Internet of Vehicles. - Ji-Ming Chen; Ting-Ting Li; John Panneerselvam (IEEE Access, 2019)

Human-Centric Cyber Social Computing Model for Hot-Event Detection and Propagation. - Lei-Lei Shi; Lu Liu 001; Yan Wu 009; Liang Jiang; Muhammad Kazim 001; Haider Ali 001; John Panneerselvam (IEEE Trans. Comput. Soc. Syst., 2019)

An Inductive Content-Augmented Network Embedding Model for Edge Artificial Intelligence. - Bo Yuan 004; John Panneerselvam; Lu Liu 001; Nick Antonopoulos; Yao Lu (IEEE Trans. Ind. Informatics, 2019)

Energy-efficient Static Task Scheduling on VFI-based NoC-HMPSoCs for Intelligent Edge Devices in Cyber-physical Systems. - Umair Ullah Tariq; Haider Ali 001; Lu Liu 001; John Panneerselvam; Xiaojun Zhai (ACM Trans. Intell. Syst. Technol., 2019)

Topic Clustering Using Induced Squared Correlation Thresholding with Dimension Reduction. - Ayodeji Ayorinde; John Panneerselvam; Lu Liu 001; Dejun Miao (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Energy-aware Multimedia Applications Scheduling on VFI-NoC-MPSoC using as an Edge-device in IoT. - Umair Ullah Tariq; Haider Ali 001; John Panneerselvam; James Hardy; Lu Liu 001 (ISPA/BDCloud/SocialCom/SustainCom, 2020)

User Interest Communities Influence Maximization in a Competitive Environment. - Jie-ming Chen; Lei-Lei Shi; Lu Liu 001; Ayodeji Ayorinde; Rongbo Zhu; John Panneerselvam (MSN, 2020)

Efficient Resampling for Fraud Detection During Anonymised Credit Card Transactions with Unbalanced Datasets. - Petr Mrozek; John Panneerselvam; Ovidiu Bagdasar (UCC, 2020)

A GRU-Based Prediction Framework for Intelligent Resource Management at Cloud Data Centres in the Age of 5G. - Yao Lu; Lu Liu 001; John Panneerselvam; Bo Yuan 004; Jiayan Gu; Nick Antonopoulos (IEEE Trans. Cogn. Commun. Netw., 2020)

A Social Sensing Model for Event Detection and User Influence Discovering in Social Media Data Streams. - Lei-Lei Shi; Lu Liu 001; Yan Wu 009; Liang Jiang; John Panneerselvam; Roy L. Crole (IEEE Trans. Comput. Soc. Syst., 2020)

An Approach to Optimise Resource Provision with Energy-Awareness in Datacentres by Combating Task Heterogeneity. - John Panneerselvam; Lu Liu 001; Nick Antonopoulos (IEEE Trans. Emerg. Top. Comput., 2020)

Intelligent UAV Identity Authentication and Safety Supervision Based on Behavior Modeling and Prediction. - Changjun Jiang; Yu Fang; Peihai Zhao; John Panneerselvam (IEEE Trans. Ind. Informatics, 2020)

Latency-Based Analytic Approach to Forecast Cloud Workload Trend for Sustainable Datacenters. - Yao Lu; Lu Liu 001; John Panneerselvam; Xiaojun Zhai; Xiang Sun; Nick Antonopoulos (IEEE Trans. Sustain. Comput., 2020)

An empirical analysis of LADA diabetes case, control and variable importance. - Anthony Miller; John Panneerselvam; Lu Liu 001 (UCC Companion, 2021)

Efficient service discovery in mobile social networks for smart cities. - Yonghong Guo; Lu Liu 001; John Panneerselvam; Rongbo Zhu (Computing, 2021)

ED-SWE: Event detection based on scoring and word embedding in online social networks for the internet of people. - Xiang Sun; Lu Liu 001; Ayodeji Ayorinde; John Panneerselvam (Digit. Commun. Networks, 2021)

Energy-efficient scheduling of streaming applications in VFI-NoC-HMPSoC based edge devices. - Umair Ullah Tariq; Haider Ali 001; Lu Liu 001; John Panneerselvam; James Hardy (J. Ambient Intell. Humaniz. Comput., 2021)

ARSH-FATI: A Novel Metaheuristic for Cluster Head Selection in Wireless Sensor Networks. - Haider Ali 001; Umair Ullah Tariq; Mubashir Hussain; Lu Liu 001; John Panneerselvam; Xiaojun Zhai (IEEE Syst. J., 2021)

A Bitcoin Transaction Network Analytic Method for Future Blockchain Forensic Investigation. - Yan Wu 009; Fang Tao; Lu Liu 001; Jiayan Gu; John Panneerselvam; Rongbo Zhu; Mohammad Nasir Shahzad (IEEE Trans. Netw. Sci. Eng., 2021)

Intelligent Link Prediction Management Based on Community Discovery and User Behavior Preference in Online Social Networks. - Jun Ge; Lei-Lei Shi; Lu Liu 001; Hongwei Shi; John Panneerselvam (Wirel. Commun. Mob. Comput., 2021)

An Ensemble Neural Model for Classification of LADA Diabetes Case, Control and Variable Importance. - Anthony Miller; John Panneerselvam; Lu Liu 001; Nick Antonopoulos (UCC, 2022)

An inter-cell resource usage analysis of large-scale datacentre trace logs. - Zekun Sun; John Panneerselvam; Lu Liu 001; Yao Lu; Wan Tang (UCC, 2022)

A novel influence maximization algorithm for a competitive environment based on social media data analytics. - Jie Tong; Leilei Shi; Lu Liu 001; John Panneerselvam; Zixuan Han (Big Data Min. Anal., 2022)

EA-DFPSO: An intelligent energy-efficient scheduling algorithm for mobile edge networks. - Yao Lu; Lu Liu 001; Jiayan Gu; John Panneerselvam; Bo Yuan 004 (Digit. Commun. Networks, 2022)

A review of regression and classification techniques for analysis of common and rare variants and gene-environmental factors. - Anthony Miller; John Panneerselvam; Lu Liu 001 (Neurocomputing, 2022)

QoS prediction for smart service management and recommendation based on the location of mobile users. - Lei-lei Shi; Lu Liu 001; Liang Jiang; Rongbo Zhu; John Panneerselvam (Neurocomputing, 2022)

The least-used key selection method for information retrieval in large-scale Cloud-based service repositories. - Jiayan Gu; Ashiq Anjum; Yan Wu 009; Lu Liu 001; John Panneerselvam; Yao Lu; Bo Yuan 004 (J. Cloud Comput., 2022)

Data-Driven Diffusion Recommendation in Online Social Networks for the Internet of People. - Diyawu Mumin; Lei-Lei Shi; Lu Liu 001; John Panneerselvam (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Edge intelligence-enabled dynamic overlapping community discovery and evolution prediction in social media data streams. - Jun Ge; Lei-lei Shi; Lu Liu 001; Hongwei Shi; John Panneerselvam (Concurr. Comput. Pract. Exp., 2023)

Optimization of service addition in multilevel index model for edge computing. - Jiayan Gu; Yan Wu 009; Ashiq Anjum; John Panneerselvam; Yao Lu; Bo Yuan 004 (Concurr. Comput. Pract. Exp., 2023)

Design and Application of Vague Set Theory and Adaptive Grid Particle Swarm Optimization Algorithm in Resource Scheduling Optimization. - Yibo Han; Pu Han; Bo Yuan 004; Zheng Zhang 025; Lu Liu 001; John Panneerselvam (J. Grid Comput., 2023)

Modeling and Analyzing Logic Vulnerabilities of E-Commerce Systems at the Design Phase. - Wangyang Yu 001; Lu Liu 001; Xiaoming Wang 001; Ovidiu Bagdasar; John Panneerselvam (IEEE Trans. Syst. Man Cybern. Syst., 2023)

A Survey on Event Tracking in Social Media Data Streams. - Zixuan Han; Leilei Shi; Lu Liu 001; Liang Jiang; Jiawei Fang; Fanyuan Lin; Jinjuan Zhang; John Panneerselvam; Nick Antonopoulos (Big Data Min. Anal., 2024)

An adaptive key selection method for the multilevel index model for effective service management in the cloud. - Jiayan Gu; Yan Wu 009; Ashiq Anjum; Lu Liu 001; John Panneerselvam; Yao Lu (Concurr. Comput. Pract. Exp., 2024)

OPT-CO: Optimizing pre-trained transformer models for efficient COVID-19 classification with stochastic configuration networks. - Ziquan Zhu; Lu Liu 001; Robert C. Free; Ashiq Anjum; John Panneerselvam (Inf. Sci., 2024)

Hybrid model with optimal features for non-invasive blood glucose monitoring from breath biomarkers. - Anita Gade; V. Vijaya Baskar; John Panneerselvam (Biomed. Signal Process. Control., 2024)

Novel Transformation Deep Learning Model for Electrocardiogram Classification and Arrhythmia Detection using Edge Computing. - Yibo Han; Pu Han; Bo Yuan 004; Zheng Zhang 025; Lu Liu 001; John Panneerselvam (J. Grid Comput., 2024)

A Multiperspective Fraud Detection Method for Multiparticipant E-Commerce Transactions. - Wangyang Yu 001; Yadi Wang; Lu Liu 001; Yisheng An; Bo Yuan 004; John Panneerselvam (IEEE Trans. Comput. Soc. Syst., 2024)

A BTN-Based Method for Multi-Entity Bitcoin Transaction Analysis and Influence Assessment. - Yan Wu 009; Liuyang Zhao; Jia Zhang; Leilei Shi; Lu Liu 001; John Panneerselvam (Distributed Ledger Technol. Res. Pract., 2024)

HRAA: Heuristic Reclamation with Agent Allocation based on reinforcement learning for resource scheduling of financial agent-based modeling and simulation tasks. - Pengzhu Pang; Jian Yu; Yu Fang; Lu Liu 001; John Panneerselvam; Zhijun Ding; Changjun Jiang (Neurocomputing, 2025)

PINE: Local patch reweighting and mixed independent neural encoder for datacentre workload prediction. - Haowen Zheng; Yao Lu; Lu Liu 001; Zekun Sun; John Panneerselvam; Xiang Sun (Neurocomputing, 2025)

A multi-cycle recursive clustering algorithm for the analysis of social media data streams. - Ayodeji Ayorinde; John Panneerselvam; Bo Yuan 004; Lu Liu 001 (Peer Peer Netw. Appl., 2025)

CoHide: Overlapping community hiding algorithm based on multi-criteria learning optimization. - Zixuan Han; Lei-lei Shi; Ya-Si Wang; Lu Liu 001; Bing Lei; Xiu-liang Huang; Liang Jiang; John Panneerselvam; Ren-jiao Gao (Peer Peer Netw. Appl., 2025)