An efficient multilevel thresholding scheme for heart image segmentation using a hybrid generalized adversarial network
Most people worldwide, irrespective of their age, are suffering from massive cardiac arrest.
To detect heart attacks early, many researchers worked on the clinical datasets collected …
To detect heart attacks early, many researchers worked on the clinical datasets collected …
[PDF][PDF] A stacking-based ensemble framework for automatic depression detection using audio signals
Mental illnesses are severe obstacles for the global welfare. Depression is a psychological
disorder which causes problems to the individual and also to his/her dependents. Machine …
disorder which causes problems to the individual and also to his/her dependents. Machine …
[PDF][PDF] Machine Learning approach to fix Routing Problems in IoT Networks
The Internet of things, an outstanding scienti c technology in the current computational
society, is usually made of intelligent electronic gadgets and sensing devices. IoT focuses …
society, is usually made of intelligent electronic gadgets and sensing devices. IoT focuses …
Preventing Data Leakage and Traffic Optimization in Software-Defined Programmable Networks
The first widely used communication infrastructure was the telephone network, often known
as a connection-oriented or circuit-switched network. While making a phone call, these …
as a connection-oriented or circuit-switched network. While making a phone call, these …
[PDF][PDF] Enhancing Depression Prediction Accuracy Using Filter and Wrapper-Based Visual Feature Extraction
The pressing need for Artificial Intelligence (AI) applications in healthcare is evident,
particularly in the context of depression prediction. Literature underscores the significance of …
particularly in the context of depression prediction. Literature underscores the significance of …
Hybrid classifier model for big data by leveraging map reduce framework
Big data technology is popular and desirable among many users for handling, analysing,
and storing large data. However, clustering the large data has become more complex due to …
and storing large data. However, clustering the large data has become more complex due to …
Blockchain-Enabled Hyperledger Fabric to Secure Data Transfer Mechanism for Medical Cyber-Physical System: Overview, Issues, and Challenges
P Vinayasree, AM Reddy - EAI Endorsed Transactions on …, 2023 - publications.eai.eu
This paper proposes a model to address the challenges faced by medical cyber-physical
systems (MCPS) by implementing a permissioned blockchain platform. The platform …
systems (MCPS) by implementing a permissioned blockchain platform. The platform …
Enabling secure authentication using fingerprint and visual cryptography
SM Annappanavar, PV Chavan - International Journal of …, 2024 - inderscienceonline.com
Biometrics is the form of information associated with an individual that helps in unique
identification and verification at different platforms. The fingerprint is an important biometric …
identification and verification at different platforms. The fingerprint is an important biometric …
Ultra-Low-Power IoT applications based on Real-Time Machine Vision and Image Analysis
C Gangadhar, K Prathyusha, P Nalajala… - … on Innovative Data …, 2023 - ieeexplore.ieee.org
This period of rapid expansion in wireless communications is expected to continue.
Numerous studies on CMOS RF front-end circuits have been conducted in response to the …
Numerous studies on CMOS RF front-end circuits have been conducted in response to the …
[PDF][PDF] Contextually Propagated Term Weight based Approach for Author Profiling: Gender, Age and Language Variety Prediction
M Swapna - J. Electrical Systems, 2024 - pdfs.semanticscholar.org
Author profiling creates characterization of an author based on attributes such as age,
gender, language, dialect region variety, personality and so on. In recent years it has …
gender, language, dialect region variety, personality and so on. In recent years it has …