This short course on Cloud/Edge Computing for Deep Learning and Big Data Analytics provides a comprehensive overview and detailed presentation of advanced technologies utilized in distributed computational systems. Distributed computing plays a critical role in today’s data-driven landscape, enabling the processing of vast amounts of data efficiently and effectively across multiple nodes and locations. Through… Continue reading Decentralized DNN Architectures
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Data Storytelling and Big Data Analytics Value Chain in Natural Disaster Management
This short course on Cloud/Edge Computing for Deep Learning and Big Data Analytics provides a comprehensive overview and detailed presentation of advanced technologies utilized in distributed computational systems. Distributed computing plays a critical role in today’s data-driven landscape, enabling the processing of vast amounts of data efficiently and effectively across multiple nodes and locations. Through… Continue reading Data Storytelling and Big Data Analytics Value Chain in Natural Disaster Management
Introduction to Tasks Offloading
This short course on Cloud/Edge Computing for Deep Learning and Big Data Analytics provides a comprehensive overview and detailed presentation of advanced technologies utilized in distributed computational systems. Distributed computing plays a critical role in today’s data-driven landscape, enabling the processing of vast amounts of data efficiently and effectively across multiple nodes and locations. Through… Continue reading Introduction to Tasks Offloading
Cloud/Edge Computing for Deep Learning and Big Data Analytics
This short course on Cloud/Edge Computing for Deep Learning and Big Data Analytics provides a comprehensive overview and detailed presentation of advanced technologies utilized in distributed computational systems. Distributed computing plays a critical role in today’s data-driven landscape, enabling the processing of vast amounts of data efficiently and effectively across multiple nodes and locations. Through… Continue reading Cloud/Edge Computing for Deep Learning and Big Data Analytics
Localizing Smoke and Gas Sources using Physics-Inspired Sparse Bayesian Learning Method
Accurate modeling and estimation of airborne materials, such as gases, smoke, or particulate matter, are critical for effective disaster response, particularly in the context of both natural and manmade disasters. In scenarios where traditional visual sensors cannot reliably detect the material of interest, it is crucial to understand its spatio-temporal dynamics in order to coordinate… Continue reading Localizing Smoke and Gas Sources using Physics-Inspired Sparse Bayesian Learning Method
Flood Image Analysis
Climate change has increased the frequency and severity of flooding, presenting significant challenges for Natural Disaster Management (NDM). Effective emergency response depends on the timely detection of flooded areas and critical objects. Advanced Deep Neural Networks (DNNs) are applied for flood region segmentation and object detection, specifically focusing on persons, vehicles, and house roofs in… Continue reading Flood Image Analysis