HEPGA: A new effective hybrid algorithm for scientific workflow scheduling in cloud computing environment Cloud data center comprises various physical and virtual machines, alongside storage datacenter services provided by cloud …
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Artificial intelligence in radiology: 100 commercially available products and their scientific evidence Objectives Map the current landscape of commercially available artificial intelligence (AI) software for radiology and review the availability …
Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study Background An increasing volume of prostate biopsies and a worldwide shortage of urological pathologists puts …
Efficient Det: Scalable and Efficient Object Detection Model efficiency has become increasingly important in computer vision. In this paper, we systematically study neural network architecture design choices for object detection …
Towards an open-domain chatbot for language practice State-of-the-art chatbots for English are now able to hold conversations on virtually any topic (e.g. Adiwardana et al., 2020; Roller et al., 2021). …
Towards a Human-like Open-Domain Chatbot. We present Meena, a multi-turn open-domain chatbot trained end-to-end on data mined and filtered from public domain social media conversations. This 2.6B parameter neural network …
A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning Objectives Map the current landscape of commercially available artificial intelligence (AI) software for radiology and review the availability of their …
Development of Toll Equivalency Factors for FASTag Lanes Under Mixed Traffic Conditions. The traffic conditions in India consist of a high degree of heterogeneity in vehicle categories plying on the …
Impact of grid size on spatiotemporal prediction of fine particulate matter. Incorporating high spatiotemporal resolution in prediction models can significantly improve the accuracy of results. The current study focuses on …
Traffic conflict assessment using macroscopic traffic flow variables: A novel framework for real-time applications. The present study develops a comprehensive traffic conflict assessment framework using macroscopic traffic state variables. To …