Evaluating Short-Term Forecasting of Multiple Time Series in IoT Environments

Detailed info Evaluating Short-Term Forecasting of Multiple Time Series in IoT Environments AuthorsChristos Tzagkarakis, Pavlos Charalampidis, Stylianos Roubakis, Alexandros Fragkiadakis and Sotiris IoannidisTitleEvaluating Short-Term Forecasting of Multiple Time Series in…

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The Best of Many Worlds: Scheduling Machine Learning Inference on CPU-GPU Integrated Architectures

Detailed info The Best of Many Worlds: Scheduling Machine Learning Inference on CPU-GPU Integrated Architectures AuthorsRafail Tsirbas, Giorgos Vasiliadis, Sotiris IoannidisTitleThe Best of Many Worlds: Scheduling Machine Learning Inference on…

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Edge-Fog-Cloud Machine Learning for Smart Cities Applications

  • Post category:Events

MARVEL is organizing the “Edge-Fog-Cloud Machine Learning for Smart Cities Applications” a Special Session at the EUSIPCO 2022. The aim of this special session is to bring together and disseminate state-of-the-art research contributions that address Edge-to-fog-to-cloud (E2F2C) processing in the context of smart cities, including the analysis and design of novel algorithms and methodologies, innovative smart cities applications with E2F2C processing, and enabling technologies, etc. Please consider submitting your latest research in the topic.

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Freshly published: Robust Latent Representations via Cross-Modal Translation and Alignment

  • Post category:News

The authors are Vandana Rajan, Alessio Brutti, and Andrea Cavallaro and they will present the results in the IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP). The conference will take place in Toronto on the 06th until the 11th of June, 2021.

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Enabling energy efficient machine learning on a Ultra-Low-Power vision sensor for IoT

he Internet of Things (IoT) and smart city paradigm includes ubiquitous technology to extract context information in order to return useful services to users and citizens. An essential role in this scenario is often played by computer vision applications, requiring the acquisition of images from specific devices.

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