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Measuring the Usability and Quality of Explanations of a Machine Learning Web-Based Tool for Oral Tongue Cancer Prognostication
(MDPI, 2022-07-08)
- article
Background: Machine learning models have been reported to assist in the proper management of cancer through accurate prognostication. Integrating such models as a web-based prognostic tool or calculator may help to improve ...
Benchmarking Q-learning methods for intelligent network orchestration in the edge
(IEEE, 2020-05-13)
- conferenceObject
We benchmark Q-learning methods, with various action selection strategies, in intelligent orchestration of the network edge. Q-learning is a reinforcement learning technique that aims to find optimal action policies by ...
Comparison of nomogram with machine learning techniques for prediction of overall survival in patients with tongue cancer
(Elsevier, 2021-01-01)
- article
Background: The prediction of overall survival in tongue cancer is important for planning of personalized care and patient counselling.
Objectives: This study compares the performance of a nomogram with a machine learning ...
Regression Training using Model Parallelism in a Distributed Cloud
(IEEE, 2019-11-04)
- article
Machine learning requires a relevant amount of computational resources and it is usually executed in high-capacity centralized cloud infrastructures (e.g., data centers). In such infrastructures, resources are shared in a ...
Machine learning for prognosis of oral cancer : What are the ethical challenges?
(CEUR Workshop Proceedings, 2020-01-13)
- article
Background: Machine learning models have shown high performance, particularly in the diagnosis and prognosis of oral cancer. However, in actual everyday clinical practice, the diagnosis and prognosis using these models ...
Machine learning in oral squamous cell carcinoma : current status, clinical concerns and prospects for future - A systematic review
(Elsevier, 2021-05-01)
- article
Background
Oral cancer can show heterogenous patterns of behavior. For proper and effective management of oral cancer, early diagnosis and accurate prediction of prognosis are important. To achieve this, artificial ...
Proposed algorithm for smart grid DDoS detection based on deep learning
(Elsevier, 2022-12-21)
- article
The Smart Grid’s objective is to increase the electric grid’s dependability, security, and efficiency through extensive digital information and control technology deployment. As a result, it is necessary to apply real-time ...
Precision Positioning for Smart Logistics using Ultra-Wideband Technology-Based Indoor Navigation : a Review
(IEEE, 2022-04-21)
- article
Logistics is an important driver for the competitiveness of industries and material supply. The development of smart logistics, powered by precise positioning and communication technologies can significantly improve the ...
Evaluation of Optimization Algorithms for Customers Load Schedule
(International Association of Engineers (IAENG)Newswood Limited, 2021)
- article
This paper introduces a novel concept for customer load scheduling in the Smart Grid (SG). The concept is based on the forthcoming internet of things (IoT). Approximate optimization algorithms are deduced for optimum ...
Survey on Recent Advances in Integrated GNSSs Towards Seamless Navigation Using Multi-Sensor Fusion Technology
(The Institute of Navigation, 2021)
- article
During the past few decades, the presence of global navigation satellite systems (GNSSs) such as GPS, GLONASS, Beidou and Galileo has facilitated positioning, navigation and timing (PNT) for various outdoor applications. ...