article-journal

FogDedupe: A Fog-Centric Deduplication Approach Using Multi-Key Homomorphic Encryption Technique
The advancements in communication technologies and a rapid increase in the usage of IoT devices have resulted in an increased data …
Mohamed Sirajudeen Yoosuf, C. Muralidharan, Shitharth Selvarajan, Mohammed Alghamdi, Mohammed Maray, Osama Bassam J. Rabie
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Optimal Feature Selection Based on Evolutionary Algorithm for Intrusion Detection
Since the past decades, internet usage has become inevitable due to its tremendous applications in various fields. Due to this huge …
S. K. Prashanth, Shitharth Selvarajan, B. Praveen Kumar, V. Subedha, K. Sangeetha
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Healthcare Data Security Using IoT Sensors Based on Random Hashing Mechanism
Providing security to the healthcare data stored in an IoT-cloud environment is one of the most challenging and demanding tasks in …
Adil O. Khadidos, Shitharth Selvarajan, Alaa O. Khadidos, K. Sangeetha, Khaled H. Alyoubi
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Machine Learning Technique for Precision Agriculture Applications in 5G-Based Internet of Things
Monitoring systems based on artificial intelligence (AI) and wireless sensors are in high demand and give exact data extraction and …
C. Murugamani, Shitharth Selvarajan, S. Hemalatha, Pravin R. Kshirsagar, K. Riyazuddin, Quadri Noorulhasan Naveed, Saiful Islam, Syed Parween Mazher Ali, Areda Batu
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An Efficient Mechanism for Deep Web Data Extraction Based on Tree-Structured Web Pattern Matching
The World Wide Web comprises of huge web databases where the data are searched using web query interface. Generally, the World Wide Web …
B. Bazeer Ahamed, D. Yuvaraj, Shitharth Selvarajan, Olfat M. Mirza, Aisha Alsobhi, Ayman Yafoz
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LSTM-Based RNN Framework to Remove Motion Artifacts in Dynamic Multicontrast MR Images with Registration Model
Today, many people under the age of 10 are being examined for brain-related issues, including tumours, without displaying any symptoms. …
Shahanaz Ayub, R. Jagadeesh Kannan, Shitharth Selvarajan, Raed Alsini, Tawfiq Hasanin, Choragudi Sasidhar
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A machine learning algorithm for classification of mental tasks
In this article, a contemporary tack of mental tasks on cognitive parts of humans is appraised using two different approaches such as …
Hariprasath Manoharan, Sulaima Lebbe Abdul Haleem, Shitharth Selvarajan, Pravin R. Kshirsagar, Vineet Tirth, M. Thangamani, Radha Raman Chandan
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Circuit Manufacturing Defect Detection Using VGG16 Convolutional Neural Networks
Manufacturing, one of the most valuable industries in the world, is boundlessly automatable yet still quite stuck in traditionally …
Sara A. Althubiti, Fayadh Alenezi, Shitharth Selvarajan, Chennareddy Vijay Simha Reddy
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Deep Learning Approaches for Prognosis of Automated Skin Disease
Skin problems are among the most common ailments on Earth. Despite its popularity, assessing it is not easy because of the complexities …
Pravin R. Kshirsagar, Hariprasath Manoharan, Shitharth Selvarajan, Abdulrhman M. Alshareef, Nabeel Albishry, Praveen Kumar Balachandran
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Enhanced SCADA IDS Security by Using MSOM Hybrid Unsupervised Algorithm
In Self-Organizing Maps (SOM) are unsupervised neural networks that cluster high dimensional data and transform complex inputs into …
Sangeetha K., Shitharth Selvarajan, Gouse Baig Mohammed
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