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Lalit Garg
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2020 – today
- 2025
- [j36]Yuhuan Lu, Wei Wang
, Rufan Bai, Shengwei Zhou, Lalit Garg, Ali Kashif Bashir, Weiwei Jiang, Xiping Hu:
Hyper-relational interaction modeling in multi-modal trajectory prediction for intelligent connected vehicles in smart cites. Inf. Fusion 114: 102682 (2025) - 2024
- [j35]Ruchi Doshi, Yu-Chen Hu, Lalit Garg, Temitayo Fagbola:
Special issue "Towards a higher education of the future: Transformational roles of edge intelligence". Array 22: 100332 (2024) - 2023
- [j34]T. Chellatamilan
Ensemble Text Summarization Model for COVID-19-Associated Datasets. Int. J. Intell. Syst. 2023: 1-16 (2023) - [j33]Nilima Salankar, Deepika Koundal
Automated attention deficit classification system from multimodal physiological signals. Multim. Tools Appl. 82(4): 4897-4912 (2023) - [j32]Gaurav Garg
Correction to: Regional optimum frequency analysis of resting-state fMRI data for early detection of Alzheimer's disease biomarkers. Multim. Tools Appl. 82(6): 9551-9552 (2023) - [e1]Lalit Garg, Geetha Ganesan, Gulshan Kumar:
Joint Proceedings of the Workshop on Computer Vision and Machine Learning for Healthcare (CVMLH 2022) and the Workshop on Technological Innovations in Education and Knowledge Dissemination (WTEK 2022) Co-located with TOOTILL 100 - 6th International Conference on Computing Sciences (ICCS 2022), Hybrid Event, Chennai, India, April 22 - 24, 2022. CEUR Workshop Proceedings 3338, CEUR-WS.org 2023 [contents] - 2022
- [j31]Lalit Garg
Phase-Type Survival Trees to Model a Delayed Discharge and Its Effect in a Stroke Care Unit. Algorithms 15(11): 414 (2022) - [j30]Emeka Chukwu
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. Frontiers Digit. Health 4 (2022) - [j29]Emmanuel Ramaru, Lalit Garg
A Hybrid Cloud Enterprise Strategic Management System. Int. J. Cloud Appl. Comput. 12(1): 1-18 (2022) - [j28]Vijay Prakash
Cloud-Based Framework for Performing Digital Forensic Investigations. Int. J. Wirel. Inf. Networks 29(4): 419-441 (2022) - [j27]Gaurav Garg
Regional optimum frequency analysis of resting-state fMRI data for early detection of Alzheimer's disease biomarkers. Multim. Tools Appl. 81(29): 41953-41977 (2022) - [j26]R. Muthukkumar, Lalit Garg
A genetic algorithm-based energy-aware multi-hop clustering scheme for heterogeneous wireless sensor networks. PeerJ Comput. Sci. 8: e1029 (2022) - 2021
- [j25]Lalit Garg, Sally I. McClean
Evaluating Different Selection Criteria for Phase Type Survival Tree Construction. Big Data Res. 25: 100250 (2021) - [j24]Nilima Salankar
Emotion recognition from EEG signals using empirical mode decomposition and second-order difference plot. Biomed. Signal Process. Control. 65: 102389 (2021) - [j23]Vikram Rajpoot, Lalit Garg, M. Zahid Alam, Sangeeta, Vivek Parashar
Analysis of machine learning based LEACH robust routing in the Edge Computing systems. Comput. Electr. Eng. 96(Part): 107574 (2021) - [j22]Amit Sookoo, Lalit Garg
Improvement of system performance in an IT production support environment. Int. J. Syst. Assur. Eng. Manag. 12(3): 461-479 (2021) - [c20]Vijay Prakash, Claudio Savaglio, Lalit Garg, Seema Bawa, Giandomenico Spezzano:
Cloud- and Edge-based ERP systems for Industrial Internet of Things and Smart Factory. ISM 2021: 537-545 - [c19]Vijay Prakash, Lalit Garg, Elena Fomiceva, Sergio Vega Pineda, Alex Navia Santos, Seema Bawa:
A Framework for Masked-Image Recognition System in COVID-19 Era. RTIP2R 2021: 195-209 - [c18]Aryan Vikas Jain, Shubham Chakrabarti, Lalit Garg:
Face Mask Detection Using Deep Hybrid Network Architectures. RTIP2R 2021: 223-233 - 2020
- [j21]Emeka Chukwu
A Systematic Review of Blockchain in Healthcare: Frameworks, Prototypes, and Implementations. IEEE Access 8: 21196-21214 (2020) - [j20]Roberto Stefano Mangion, Lalit Garg
Emotional Testing on Facebook's User Experience. IEEE Access 8: 58250-58259 (2020) - [j19]Lalit Garg
Anonymity Preserving IoT-Based COVID-19 and Other Infectious Disease Contact Tracing Model. IEEE Access 8: 159402-159414 (2020) - [j18]Gianpaolo Tomaselli
Corporate Social Responsibility Application in the Healthcare Sector: A Bibliometric Analysis and Synthesis. Int. J. Inf. Syst. Soc. Chang. 11(1): 11-23 (2020) - [j17]Ravinder Kumar, Shubham Goel
A Multifaceted Vigilare System for Intelligent Transportation Services in Smart Cities. IEEE Internet Things Mag. 3(4): 76-80 (2020) - [j16]Dattatray D. Sawat, Rajendra S. Hegadi
Pixel encoding for unconstrained face detection. Multim. Tools Appl. 79(47): 35033-35054 (2020) - [p2]A. Sampathkumar, S. Murugan, Ahmed A. Elngar, Lalit Garg, R. Kanmani, A. Christy Jeba Malar:
A Novel Scheme for an IoT-Based Weather Monitoring System Using a Wireless Sensor Network. Integration of WSN and IoT for Smart Cities 2020: 181-191
2010 – 2019
- 2019
- [j15]Thomas Cole, Amit Kumar Bhardwaj
Investigation Into Cloud Computing Adoption Within the Hedge Fund Industry. J. Cases Inf. Technol. 21(3): 1-25 (2019) - [j14]Kennedy Njenga, Lalit Garg, Amit Kumar Bhardwaj
The cloud computing adoption in higher learning institutions in Kenya: Hindering factors and recommendations for the way forward. Telematics Informatics 38: 225-246 (2019) - [c17]Sally I. McClean, David A. Stanford, Lalit Garg, Naveed Khan:
Using Phase-type Models to Monitor and Predict Process Target Compliance. ICORES 2019: 82-90 - 2018
- [j13]Gianpaolo Tomaselli
Healthcare Systems and Corporate Social Responsibility Communication: A Comparative Analysis Between Malta and India. J. Glob. Inf. Manag. 26(4): 52-66 (2018) - [j12]Ahmad Roumieh, Lalit Garg
E-Marketing Strategies for Islamic Banking: A Case Based Study. J. Glob. Inf. Manag. 26(4): 67-91 (2018) - [j11]Foluso Ayeni
Overcoming Barriers to Healthcare Access and Delivery. EAI Endorsed Trans. Pervasive Health Technol. 4(15): e2 (2018) - 2017
- [c16]Marija Gafa, Lalit Garg, Giovanni Masala
Applications of phase type survival trees in HIV disease progression modelling. ICCSA (7) 2017: 1-8 - [c15]Michael Philip Orenda, Lalit Garg
Exploring the Feasibility to Authenticate Users of Web and Cloud Services Using a Brain-Computer Interface (BCI). ICIAP Workshops 2017: 353-363 - 2016
- [j10]Gianpaolo Tomaselli
Digital and Traditional Tools for Communicating Corporate Social Responsibility: A Literature Review. Int. J. Bus. Data Commun. Netw. 12(2): 1-15 (2016) - [j9]Jennifer Gillespie, Sally I. McClean, Lalit Garg, Maria Barton, Bryan W. Scotney, Ken Fullerton:
A multi-phase DES modelling framework for patient-centred care. J. Oper. Res. Soc. 67(10): 1239-1249 (2016) - [c14]Sylvia Bugeja, Lalit Garg, Eliazar E. Audu:
A novel method of EEG data acquisition, feature extraction and feature space creation for early detection of epileptic seizures. EMBC 2016: 837-840 - 2015
- [j8]Shashidharan Shanmugam, Lalit Garg
Model Employee Appraisal System with Artificial Intelligence Capabilities. J. Cases Inf. Technol. 17(3): 30-40 (2015) - [j7]Sherif Elshorbagy, Lalit Garg
The Impact of Information Systems on Management Performance in the Pharmaceutical Industry. J. Cases Inf. Technol. 17(3): 56-73 (2015) - 2014
- [j6]Sally I. McClean
Using phase-type models to cost stroke patient care across health, social and community services. Eur. J. Oper. Res. 236(1): 190-199 (2014) - [j5]Lalit Garg
Tensor-Based Methods for Handling Missing Data in Quality-of-Life Questionnaires. IEEE J. Biomed. Health Informatics 18(5): 1571-1580 (2014) - [c13]Stefan Scerri, Lalit Garg
Human-Computer Interaction Patterns within the Mobile Nutrition Landscape: A Review of Literature. FiCloud 2014: 437-441 - 2013
- [c12]Sally I. McClean
Costing Mixed Coxian Phase-type Systems in a given time interval. CBMS 2013: 369-372 - [c11]Muhammad Tayyab Asif, Nikola Mitrovic, Lalit Garg
Low-dimensional models for missing data imputation in road networks. ICASSP 2013: 3527-3531 - 2012
- [j4]Lalit Garg
Intelligent Patient Management and Resource Planning for Complex, Heterogeneous, and Stochastic Healthcare Systems. IEEE Trans. Syst. Man Cybern. Part A 42(6): 1332-1345 (2012) - [c10]Lalit Garg
Using phase type distributions for modelling HIV disease progression. CBMS 2012: 1-4 - [c9]Justin Dauwels, Lalit Garg
Tensor factorization for missing data imputation in medical questionnaires. ICASSP 2012: 2109-2112 - 2011
- [j3]Mohsen Jahangirian, Tillal Eldabi
A rapid review method for extremely large corpora of literature: Applications to the domains of modelling, simulation, and management. Int. J. Inf. Manag. 31(3): 234-243 (2011) - [j2]Lalit Garg, Sally I. McClean, Brian Meenan, Peter H. Millard:
Phase-Type Survival Trees and Mixed Distribution Survival Trees for Clustering Patients' Hospital Length of Stay. Informatica 22(1): 57-72 (2011) - [j1]Sally I. McClean
A modeling framework that combines markov models and discrete-event simulation for stroke patient care. ACM Trans. Model. Comput. Simul. 21(4): 25:1-25:26 (2011) - [c8]Justin Dauwels, Lalit Garg
Handling missing data in medical questionnaires using tensor decompositions. ICICS 2011: 1-5 - [c7]Sally I. McClean
Using model-based clustering to discretise duration information for activity recognition. CBMS 2011: 1-7 - 2010
- [c6]Sally I. McClean
Using mixed phase-type distributions to model patient pathways. CBMS 2010: 172-177 - [c5]Lalit Garg
Forecasting hospital bed requirements and cost of care using phase type survival trees. IEEE Conf. of Intelligent Systems 2010: 185-190
2000 – 2009
- 2009
- [c4]Lalit Garg
Clustering patient length of stay using mixtures of Gaussian models and phase type distributions. CBMS 2009: 1-7 - 2008
- [c3]Lalit Garg
Optimal Control of Patient Admissions to Satisfy Resource Restrictions. CBMS 2008: 512-517 - [p1]Sally I. McClean
Using Markov Models for Decision Support in Management of High Occupancy Hospital Care. Intelligent Techniques and Tools for Novel System Architectures 2008: 187-199 - 2007
- [c2]Sally I. McClean
Using Markov Models to Find Interesting Patient Pathways. CBMS 2007: 713-718 - 2000
- [c1]Juliana Freire, Daniel F. Lieuwen, Joann J. Ordille
MetaComm: A Meta-Directory for Telecommunications. ICDE 2000: 211-219
Coauthor Index
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