MetaComm: A Meta-Directory for Telecommunications. - Juliana Freire; Daniel F. Lieuwen; Joann J. Ordille; Lalit Garg; Michael Holder; Hector Urroz; Gavin Michael; Julian Orbach; Luke Tucker; Qian Ye; Robert M. Arlein (ICDE, 2000)

Using Markov Models to Find Interesting Patient Pathways. - Sally I. McClean; Lalit Garg; Brian Meenan; Peter H. Millard (CBMS, 2007)

Optimal Control of Patient Admissions to Satisfy Resource Restrictions. - Lalit Garg; Sally I. McClean; Brian Meenan; Peter H. Millard (CBMS, 2008)

Using Markov Models for Decision Support in Management of High Occupancy Hospital Care. - Sally I. McClean; Peter H. Millard; Lalit Garg (Intelligent Techniques and Tools for Novel System Architectures, 2008)

Clustering patient length of stay using mixtures of Gaussian models and phase type distributions. - Lalit Garg; Sally I. McClean; Brian Meenan; Elia El-Darzi; Peter H. Millard (CBMS, 2009)

Using mixed phase-type distributions to model patient pathways. - Sally I. McClean; Lalit Garg; Maria Barton; Ken Fullerton (CBMS, 2010)

Forecasting hospital bed requirements and cost of care using phase type survival trees. - Lalit Garg; Sally I. McClean; Maria Barton; Brian Meenan; Ken Fullerton (IEEE Conf. of Intelligent Systems, 2010)

Handling missing data in medical questionnaires using tensor decompositions. - Justin Dauwels; Lalit Garg; Arul Earnest; Khai Pang Leong (ICICS, 2011)

Using model-based clustering to discretise duration information for activity recognition. - Sally I. McClean; Lalit Garg; Priyanka Chaurasia; Bryan W. Scotney; Chris D. Nugent (CBMS, 2011)

A rapid review method for extremely large corpora of literature: Applications to the domains of modelling, simulation, and management. - Mohsen Jahangirian; Tillal Eldabi; Lalit Garg; Gyuchan T. Jun; Aisha Naseer; Brijesh Patel; Lampros K. Stergioulas; Terry Young (Int. J. Inf. Manag., 2011)

Phase-Type Survival Trees and Mixed Distribution Survival Trees for Clustering Patients' Hospital Length of Stay. - Lalit Garg; Sally I. McClean; Brian Meenan; Peter H. Millard (Informatica, 2011)

A modeling framework that combines markov models and discrete-event simulation for stroke patient care. - Sally I. McClean; Maria Barton; Lalit Garg; Ken Fullerton (ACM Trans. Model. Comput. Simul., 2011)

Using phase type distributions for modelling HIV disease progression. - Lalit Garg; Giovanni Masala; Sally I. McClean; Marco Micocci; Giuseppina Cannas (CBMS, 2012)

Tensor factorization for missing data imputation in medical questionnaires. - Justin Dauwels; Lalit Garg; Arul Earnest; Khai Pang Leong (ICASSP, 2012)

Intelligent Patient Management and Resource Planning for Complex, Heterogeneous, and Stochastic Healthcare Systems. - Lalit Garg; Sally I. McClean; Maria Barton; Brian Meenan; Ken Fullerton (IEEE Trans. Syst. Man Cybern. Part A, 2012)

Costing Mixed Coxian Phase-type Systems in a given time interval. - Sally I. McClean; Lalit Garg; Jennifer Gillespie; Ken Fullerton (CBMS, 2013)

Low-dimensional models for missing data imputation in road networks. - Muhammad Tayyab Asif; Nikola Mitrovic; Lalit Garg; Justin Dauwels; Patrick Jaillet (ICASSP, 2013)

Human-Computer Interaction Patterns within the Mobile Nutrition Landscape: A Review of Literature. - Stefan Scerri; Lalit Garg; Christian Scerri; Ramandeep Garg (FiCloud, 2014)

Using phase-type models to cost stroke patient care across health, social and community services. - Sally I. McClean; Jennifer Gillespie; Lalit Garg; Maria Barton; Bryan W. Scotney; Ken Fullerton (Eur. J. Oper. Res., 2014)

Tensor-Based Methods for Handling Missing Data in Quality-of-Life Questionnaires. - Lalit Garg; Justin Dauwels; Arul Earnest; Khai Pang Leong (IEEE J. Biomed. Health Informatics, 2014)

The Impact of Information Systems on Management Performance in the Pharmaceutical Industry. - Sherif Elshorbagy; Lalit Garg; Vipul Gupta; Gopalakrishnan Narayanamurthy; Yosuf Abd Al Oraini (J. Cases Inf. Technol., 2015)

Model Employee Appraisal System with Artificial Intelligence Capabilities. - Shashidharan Shanmugam; Lalit Garg (J. Cases Inf. Technol., 2015)

A novel method of EEG data acquisition, feature extraction and feature space creation for early detection of epileptic seizures. - Sylvia Bugeja; Lalit Garg; Eliazar E. Audu (EMBC, 2016)

Digital and Traditional Tools for Communicating Corporate Social Responsibility: A Literature Review. - Gianpaolo Tomaselli; Monia Melia; Lalit Garg; Vipul Gupta; Peter Xuereb; Sandra Buttigieg (Int. J. Bus. Data Commun. Netw., 2016)

A multi-phase DES modelling framework for patient-centred care. - Jennifer Gillespie; Sally I. McClean; Lalit Garg; Maria Barton; Bryan W. Scotney; Ken Fullerton (J. Oper. Res. Soc., 2016)

Applications of phase type survival trees in HIV disease progression modelling. - Marija Gafa; Lalit Garg; Giovanni Masala; Sally I. McClean (ICCSA (7), 2017)

Exploring the Feasibility to Authenticate Users of Web and Cloud Services Using a Brain-Computer Interface (BCI). - Michael Philip Orenda; Lalit Garg; Gaurav Garg (ICIAP Workshops, 2017)

E-Marketing Strategies for Islamic Banking: A Case Based Study. - Ahmad Roumieh; Lalit Garg; Vipul Gupta; Gurparkash Singh (J. Glob. Inf. Manag., 2018)

Healthcare Systems and Corporate Social Responsibility Communication: A Comparative Analysis Between Malta and India. - Gianpaolo Tomaselli; Lalit Garg; Vipul Gupta; Peter Xuereb; Sandra Buttigieg; Paula Vassallo (J. Glob. Inf. Manag., 2018)

Overcoming Barriers to Healthcare Access and Delivery. - Foluso Ayeni; Zacchaeus Omogbadegun; Nicholas A. Omoregbe; Sanjay Misra; Lalit Garg (EAI Endorsed Trans. Pervasive Health Technol., 2018)

Using Phase-type Models to Monitor and Predict Process Target Compliance. - Sally I. McClean; David A. Stanford; Lalit Garg; Naveed Khan (ICORES, 2019)

Investigation Into Cloud Computing Adoption Within the Hedge Fund Industry. - Thomas Cole; Amit Kumar Bhardwaj; Lalit Garg; Divya Prakash Shrivastava (J. Cases Inf. Technol., 2019)

The cloud computing adoption in higher learning institutions in Kenya: Hindering factors and recommendations for the way forward. - Kennedy Njenga; Lalit Garg; Amit Kumar Bhardwaj; Vijay Prakash; Seema Bawa (Telematics Informatics, 2019)

A Novel Scheme for an IoT-Based Weather Monitoring System Using a Wireless Sensor Network. - A. Sampathkumar; S. Murugan; Ahmed A. Elngar; Lalit Garg; R. Kanmani; A. Christy Jeba Malar (Integration of WSN and IoT for Smart Cities, 2020)

A Systematic Review of Blockchain in Healthcare: Frameworks, Prototypes, and Implementations. - Emeka Chukwu; Lalit Garg (IEEE Access, 2020)

Anonymity Preserving IoT-Based COVID-19 and Other Infectious Disease Contact Tracing Model. - Lalit Garg; Emeka Chukwu; Nidal Nasser; Chinmay Chakraborty; Gaurav Garg (IEEE Access, 2020)

Emotional Testing on Facebook's User Experience. - Roberto Stefano Mangion; Lalit Garg; Gaurav Garg; Owen Falzon (IEEE Access, 2020)

Corporate Social Responsibility Application in the Healthcare Sector: A Bibliometric Analysis and Synthesis. - Gianpaolo Tomaselli; Lalit Garg; Vipul Gupta; Peter Xuereb; Sandra Buttigieg (Int. J. Inf. Syst. Soc. Chang., 2020)

A Multifaceted Vigilare System for Intelligent Transportation Services in Smart Cities. - Ravinder Kumar 002; Shubham Goel 002; Vishal Sharma 001; Lalit Garg; Kathiravan Srinivasan; Neeraj Julka (IEEE Internet Things Mag., 2020)

Pixel encoding for unconstrained face detection. - Dattatray D. Sawat; Rajendra S. Hegadi; Lalit Garg; Ravindra S. Hegadi (Multim. Tools Appl., 2020)

Cloud- and Edge-based ERP systems for Industrial Internet of Things and Smart Factory. - Vijay Prakash; Claudio Savaglio; Lalit Garg; Seema Bawa; Giandomenico Spezzano (ISM, 2021)

Face Mask Detection Using Deep Hybrid Network Architectures. - Aryan Vikas Jain; Shubham Chakrabarti; Lalit Garg (RTIP2R, 2021)

A Framework for Masked-Image Recognition System in COVID-19 Era. - Vijay Prakash; Lalit Garg; Elena Fomiceva; Sergio Vega Pineda; Alex Navia Santos; Seema Bawa (RTIP2R, 2021)

Evaluating Different Selection Criteria for Phase Type Survival Tree Construction. - Lalit Garg; Sally I. McClean; Maria Barton; Brian Meenan; Ken Fullerton; Georgios Kontonatsios; Marcello Trovati; Ioannis Korkontzelos; Xiaolong Xu 002; Mohsen Farid (Big Data Res., 2021)

Emotion recognition from EEG signals using empirical mode decomposition and second-order difference plot. - Nilima Salankar; Pratikshya Mishra; Lalit Garg (Biomed. Signal Process. Control., 2021)

Analysis of machine learning based LEACH robust routing in the Edge Computing systems. - Vikram Rajpoot; Lalit Garg; M. Zahid Alam; Sangeeta; Vivek Parashar; Pratibhadevi Tapashetti; Tripti Arjariya (Comput. Electr. Eng., 2021)

Expert System for Stable Power Generation Prediction in Microbial Fuel Cell. - Kathiravan Srinivasan; Lalit Garg; Bor-Yann Chen; Abdulellah A. Alaboudi; N. Z. Jhanjhi; Chang-Tang Chang; B. Prabadevi; N. Deepa (Intell. Autom. Soft Comput., 2021)

Improvement of system performance in an IT production support environment. - Amit Sookoo; Lalit Garg; Chinmay Chakraborty (Int. J. Syst. Assur. Eng. Manag., 2021)

SID-RIS: Cascaded Intrusion Detection System for Industrial Internet of Things. - PLS Jayalaxmi; Rahul Saha; Lalit Garg; Gulshan Kumar (WAI, 2022)

Phase-Type Survival Trees to Model a Delayed Discharge and Its Effect in a Stroke Care Unit. - Lalit Garg; Sally I. McClean; Brian Meenan; Maria Barton; Ken Fullerton; Sandra C. Buttigieg; Alexander Micallef (Algorithms, 2022)

Scaling up a decentralized offline patient ID generation and matching algorithm to accelerate universal health coverage: Insights from a literature review and health facility survey in Nigeria. - Emeka Chukwu; Iniobong Ekong; Lalit Garg (Frontiers Digit. Health, 2022)

A Hybrid Cloud Enterprise Strategic Management System. - Emmanuel Ramaru; Lalit Garg; Chinmay Chakraborty (Int. J. Cloud Appl. Comput., 2022)

Cloud-Based Framework for Performing Digital Forensic Investigations. - Vijay Prakash; Alex Williams; Lalit Garg; Pradip Kumar Barik; Rajesh Kumar Dhanaraj (Int. J. Wirel. Inf. Networks, 2022)

Regional optimum frequency analysis of resting-state fMRI data for early detection of Alzheimer's disease biomarkers. - Gaurav Garg; Girijesh Prasad; Lalit Garg; Makoto Miyakoshi; Toshiharu Nakai; Damien Coyle (Multim. Tools Appl., 2022)

A genetic algorithm-based energy-aware multi-hop clustering scheme for heterogeneous wireless sensor networks. - R. Muthukkumar; Lalit Garg; K. Maharajan; M. Jayalakshmi; NZ Jhanjhi; S. Parthiban; G. Saritha (PeerJ Comput. Sci., 2022)

Ensemble Text Summarization Model for COVID-19-Associated Datasets. - T. Chellatamilan; Senthil Kumar Narayanasamy; Lalit Garg; Kathiravan Srinivasan; Sardar M. N. Islam (Int. J. Intell. Syst., 2023)

Automated attention deficit classification system from multimodal physiological signals. - Nilima Salankar; Deepika Koundal; Chinmay Chakraborty; Lalit Garg (Multim. Tools Appl., 2023)

Correction to: Regional optimum frequency analysis of resting-state fMRI data for early detection of Alzheimer's disease biomarkers. - Gaurav Garg; Girijesh Prasad; Lalit Garg; Makoto Miyakoshi; Toshiharu Nakai; Damien Coyle (Multim. Tools Appl., 2023)

Special issue "Towards a higher education of the future: Transformational roles of edge intelligence". - Ruchi Doshi; Yu-Chen Hu; Lalit Garg; Temitayo Fagbola (Array, 2024)

A secure framework for the Internet of Things anomalies using machine learning. - Vijay Prakash; Olukayode Odedina; Ajay Kumar; Lalit Garg; Seema Bawa (Discov. Internet Things, 2024)

Graph-Enhanced Low-Resource ECG Representation Learning for Emotion Recognition Based on Wearable Internet of Things. - Jian Chen 011; Yuzhu Hu; Lalit Garg; Thippa Reddy Gadekallu; Gautam Srivastava 001; Wei Wang 077 (IEEE Internet Things J., 2024)

Hyper-relational interaction modeling in multi-modal trajectory prediction for intelligent connected vehicles in smart cites. - Yuhuan Lu; Wei Wang 077; Rufan Bai; Shengwei Zhou 002; Lalit Garg; Ali Kashif Bashir; Weiwei Jiang; Xiping Hu (Inf. Fusion, 2025)

An efficient model to estimate and optimise the cloud migration costs from on-premises web apps. - Vijay Prakash; Ajay Kumar; Mohd Shahid; Lalit Garg; Seema Bawa (Discov. Comput., 2025)