P
P. Mohamed Shakeel
Researcher at Universiti Teknikal Malaysia Melaka
Publications - 68
Citations - 2493
P. Mohamed Shakeel is an academic researcher from Universiti Teknikal Malaysia Melaka. The author has contributed to research in topics: Computer science & Cloud computing. The author has an hindex of 22, co-authored 55 publications receiving 1349 citations.
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Maintaining Security and Privacy in Health Care System Using Learning Based Deep-Q-Networks.
TL;DR: Learning based Deep-Q-Networks has been introduced for reducing the malware attacks while managing the health information and helps to minimize the intermediate attacks with less complexity.
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Wearable IoT Smart-Log Patch: An Edge Computing-Based Bayesian Deep Learning Network System for Multi Access Physical Monitoring System.
Gunasekaran Manogaran,P. Mohamed Shakeel,Hassan Fouad,Yunyoung Nam,S. Baskar,Naveen Chilamkurti,Revathi Sundarasekar +6 more
TL;DR: This state-of-the-art smart-log patch with Internet of Things (IoT) sensors has been designed and developed with multimedia technology and is considered as one of evolutionary research in health checking of multi access physical monitoring systems with multimediaTechnology.
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Lung cancer detection from CT image using improved profuse clustering and deep learning instantaneously trained neural networks
TL;DR: Improvement of the quality of lung image and diagnosis of lung cancer by reducing misclassification and efficiency of the system is examined using MATLAB based simulation results.
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Neural Network Based Brain Tumor Detection Using Wireless Infrared Imaging Sensor
TL;DR: This brain tumor classification system using machine learning-based back propagation neural networks (MLBPNN) causes pathologists to enhance the exactness and proficiency in location of threat and to limit the entomb onlooker variety.
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An adaptive fuzzy rule based energy efficient clustering and immune-inspired routing protocol for WSN-assisted IoT system
TL;DR: In this paper, an adaptive fuzzy rule based energy efficient clustering and immune-inspired routing (FEEC-IIR) protocol for WSN assisted IoT system is introduced, which is a combination of fuzzy AHP and TOPSIS method.