Gunasekaran Manogaran
Gunasekaran Manogaran
Howard University, Washington, D.C., USA
Verified email at - Homepage
Cited by
Cited by
A new architecture of Internet of Things and big data ecosystem for secured smart healthcare monitoring and alerting system
G Manogaran, R Varatharajan, D Lopez, PM Kumar, R Sundarasekar, ...
Future Generation Computer Systems 82, 375-387, 2018
Internet of Things (IoT) and its impact on supply chain: A framework for building smart, secure and efficient systems
M Abdel-Basset, G Manogaran, M Mohamed
Future Generation Computer Systems 86, 614-628, 2018
A hybrid approach of neutrosophic sets and DEMATEL method for developing supplier selection criteria
M Abdel-Basset, G Manogaran, A Gamal, F Smarandache
Design Automation for Embedded Systems 22 (3), 257-278, 2018
A hybrid whale optimization algorithm based on local search strategy for the permutation flow shop scheduling problem
M Abdel-Basset, G Manogaran, D El-Shahat, S Mirjalili
Future Generation Computer Systems 85, 129-145, 2018
Wearable sensor devices for early detection of Alzheimer disease using dynamic time warping algorithm
R Varatharajan, G Manogaran, MK Priyan, R Sundarasekar
Cluster Computing 21 (1), 681-690, 2018
Hybrid recommendation system for heart disease diagnosis based on multiple kernel learning with adaptive neuro-fuzzy inference system
G Manogaran, R Varatharajan, MK Priyan
Multimedia tools and applications 77 (4), 4379-4399, 2018
A novel intelligent medical decision support model based on soft computing and IoT
M Abdel-Basset, G Manogaran, A Gamal, V Chang
IEEE Internet of Things Journal 7 (5), 4160-4170, 2019
A hybrid deep transfer learning model with machine learning methods for face mask detection in the era of the COVID-19 pandemic
M Loey, G Manogaran, MHN Taha, NEM Khalifa
Measurement 167, 108288, 2021
A group decision making framework based on neutrosophic TOPSIS approach for smart medical device selection
M Abdel-Basset, G Manogaran, A Gamal, F Smarandache
Journal of medical systems 43 (2), 38, 2019
Machine learning based big data processing framework for cancer diagnosis using hidden Markov model and GM clustering
G Manogaran, V Vijayakumar, R Varatharajan, PM Kumar, ...
Wireless personal communications 102 (3), 2099-2116, 2018
A big data classification approach using LDA with an enhanced SVM method for ECG signals in cloud computing
R Varatharajan, G Manogaran, MK Priyan
Multimedia Tools and Applications 77 (8), 10195-10215, 2018
Centralized fog computing security platform for IoT and cloud in healthcare system
C Thota, R Sundarasekar, G Manogaran, R Varatharajan, MK Priyan
Fog computing: Breakthroughs in research and practice, 365-378, 2018
An ontology-driven personalized food recommendation in IoT-based healthcare system
V Subramaniyaswamy, G Manogaran, R Logesh, V Vijayakumar, ...
The Journal of Supercomputing 75 (6), 3184-3216, 2019
Big data knowledge system in healthcare
G Manogaran, C Thota, D Lopez, V Vijayakumar, KM Abbas, ...
Internet of things and big data technologies for next generation healthcare …, 2017
Internet of things in smart education environment: Supportive framework in the decision‐making process
M Abdel‐Basset, G Manogaran, M Mohamed, E Rushdy
Concurrency and Computation: Practice and Experience 31 (10), e4515, 2019
Three-way decisions based on neutrosophic sets and AHP-QFD framework for supplier selection problem
M Abdel-Basset, G Manogaran, M Mohamed, N Chilamkurti
Future Generation Computer Systems 89, 19-30, 2018
Big data security intelligence for healthcare industry 4.0
G Manogaran, C Thota, D Lopez, R Sundarasekar
Cybersecurity for Industry 4.0, 103-126, 2017
Spatial cumulative sum algorithm with big data analytics for climate change detection
G Manogaran, D Lopez
Computers & Electrical Engineering 65, 207-221, 2018
Intelligent face recognition and navigation system using neural learning for smart security in Internet of Things
PM Kumar, U Gandhi, R Varatharajan, G Manogaran, R Jidhesh, ...
Cluster Computing 22 (4), 7733-7744, 2019
A novel group decision making model based on neutrosophic sets for heart disease diagnosis
M Abdel-Basset, A Gamal, G Manogaran, LH Son, HV Long
Multimedia Tools and Applications 79 (15), 9977-10002, 2020
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