Spectrum energy detection in cognitive radio networks based on a novel adaptive threshold energy detection method
Cognitive radio (CR) is a smart communication innovation in the development of the
network. With advances in remote communications, the issue of bandwidth has proven to be …
network. With advances in remote communications, the issue of bandwidth has proven to be …
An intellectual methodology for secure health record mining and risk forecasting using clustering and graph-based classification
The objective of the research work is to analyze and validate health records and securing
the personal information of patients is a challenging issue in health records mining. The risk …
the personal information of patients is a challenging issue in health records mining. The risk …
Human muscle mass measurement through passive flexible UWB-myogram antenna sensor to diagnose sarcopenia
Sarcopenia disease is due to low muscle mass in humans. Sarcopenia leads to
osteoporosis, metabolic syndrome and difficulty in performing day-to-day activities. At …
osteoporosis, metabolic syndrome and difficulty in performing day-to-day activities. At …
Detection of Hello Flood Attacks Using Fuzzy-Based Energy-Efficient Clustering Algorithm for Wireless Sensor Networks
Clustering is one among the most important strategies to improve the lifetime of wireless
sensor networks (WSNs). The frequent occurrence of clustering and the subsequent …
sensor networks (WSNs). The frequent occurrence of clustering and the subsequent …
A modified LBP operator-based optimized fuzzy art map medical image retrieval system for disease diagnosis and prediction
WC Lai, SR Srividhya - Biomedicines, 2022 - mdpi.com
Medical records generated in hospitals are treasures for academic research and future
references. Medical Image Retrieval (MIR) Systems contribute significantly to locating the …
references. Medical Image Retrieval (MIR) Systems contribute significantly to locating the …
An innovative statistical analysis of accessing public data anonymously in a cloud environment using hidden Markov model and comparing with support vector …
S Rajan, V Parthipan - AIP Conference Proceedings, 2023 - pubs.aip.org
The aim is to compare the accuracy for innovative accessing of public data anonymo usly in
cloud environments using the Hidden Markov model and comparing with the Support Vector …
cloud environments using the Hidden Markov model and comparing with the Support Vector …
Precise medical diagnosis for brain tumor detection and data sample imbalance analysis using enhanced kernel extreme learning machine model with deep belief …
VVV Reddy, SK Tiwari - 2022 14th International Conference …, 2022 - ieeexplore.ieee.org
To identify the brain tumor according to the categorial identification by using the symptoms.
Materials and Methods: To identify brain tumors using Kernel Extreme Learning Machine …
Materials and Methods: To identify brain tumors using Kernel Extreme Learning Machine …
Face Identity Detection and Recognition using Novel Convolutional Neural Network in Comparison with Haar Cascade to Improve Accuracy
G Sumanth, KV Kanimozhi - 2022 14th International …, 2022 - ieeexplore.ieee.org
The main aim of the project is to recognize faces using the Novel Convolutional Neural
Network algorithm in comparison with the Haar Cascade algorithm for the Google AI images …
Network algorithm in comparison with the Haar Cascade algorithm for the Google AI images …
An Efficient Traffic Sign Board Detection Approach using Convolutional Neural Network in Comparison with Radial Basis Function with Improved Accuracy
RS Prashanth, T Devi - 2022 14th International Conference on …, 2022 - ieeexplore.ieee.org
Aim: Identifying and classifying traffic signs board images is accomplished through image
recognition and determine whether the image is a speed sign or stop sign using …
recognition and determine whether the image is a speed sign or stop sign using …
A new approach to online training for the Fuzzy ARTMAP artificial neural network
The evolution of internet resources has led to an increase in the flow of data and,
consequently, the need for classification or forecasting models that support online learning …
consequently, the need for classification or forecasting models that support online learning …