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Scheduling Techniques for Liver Segmentation: ReduceLRonPlateau Vs OneCycleLR
The reported results that have the same number of maximum epochs (75), and are the average of 5-fold cross-validation, indicate that ReduceLRonPlateau converges faster while maintaining a similar or even better loss score on the validation set when compared to OneCycleLR.
Automated liver tissues delineation techniques: A systematic survey on machine learning current trends and future orientations
Machine learning and computer vision techniques have grown rapidly in recent years due to their automation, suitability, and ability to generate astounding results.
An IoT-Based Framework for Remote Fall Monitoring
Fall detection is a serious healthcare issue that needs to be solved.
A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects
Recommender systems have significantly developed in recent years in parallel with the witnessed advancements in both internet of things (IoT) and artificial intelligence (AI) technologies.
Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations
Recently, tremendous interest has been devoted to develop data fusion strategies for energy efficiency in buildings, where various kinds of information can be processed.
Smart and Secure Wireless Communications via Reflecting Intelligent Surfaces: A Short Survey
In this paper, we conduct a comprehensive literature review on the RIS-assisted PLS for future wireless communications.
