Abstract Severe flash flood events give very little opportunity for issuing warnings. In this paper, we approach the automated and real-time prediction of river flooding by proposing and evaluating different …
An Evolutionary MultiLayer Perceptron Algorithm for Real Time River Flood Prediction Read More »
Abstract The use of lower precision has emerged as a popular technique to optimize the compute and storage requirements of complex deep neural networks (DNNs). In the quest for lower …
TiM-DNN: Ternary In-Memory Accelerator for Deep Neural Networks Read More »
Abstract With renewed global interest for Artificial Intelligence (AI) methods, the past decade has seen a myriad of new programming models and tools that enable better and faster Machine Learning …
Performance Analysis of Distributed and Scalable Deep Learning(DL) Read More »
Abstract We propose a way to learn visual features that are compatible with previously computed ones even when they have different dimensions and are learned via different neural network architectures …
Towards Backward-Compatible Representation Learning Read More »
Abstract With the explosive increase of big data, it is necessary to apply large-scale data processing systems to analyze Big Data. Arguably, Spark is state of the art in large-scale …
Abstract Smart city challenges, like increased traffic, the risk to public safety, effective law enforcement, and the smart environment challenges improving personalized services such as health care and home environment …
Face Recognition: Challenges and Issues in Smart City/Environments Read More »
Abstract Internet forums and public social media, such as online healthcare forums, provide a convenient channel for users (people/patients) concerned about health issues to discuss and share information with each …
