This research is focused on enhancing the performance of data switched networks using the knockout principle and parallel fabrics. The high demand of ...
This paper presents the development of an intelligent system for the detection of coronavirus using artificial neural network. This was done after ser...
This paper presents a predictive algorithm for the early detection of neuropathic diabetes using machine learning. The study aimed at developing a mac...
This paper presents the application of machine learning technique and recursive polynomial estimator for improving the reliability of critical safety ...
This paper presents the modeling of a deep learning and fuzzy logic behavioral approach for the autonomous navigation of a robot in a Global Positioni...
This work presents the simulated modeling of optical transmission network for improved transport of electronic health records. The aim is to optimize ...
This paper presents improving the reliability of critical safety instrument system using mathematical method and machine learning technique. The aim o...
Diabetes is a global health concern with millions of new cases annually. Early detection of the disease can prevent its progression and complications....
The background of the study centres on the challenges faced in contract litigation due to the complexity and volume of legal documents involved. Tradi...
This paper focuses on improving the performance of the SCADA network in a 330/132kV transmission station by employing a phasor-based intelligent monit...
The proliferation of 5G networks has revolutionized communication paradigms, introducing unprecedented speeds and connectivity. However, the dense dep...
This paper presents the detection and isolation of black hole attack in wireless broadband ecosystem using artificial intelligence technique. Many lit...
Showing 37 to 48 of 157 papers
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