Listar por tema "convolutional neural network"
Mostrando ítems 1-5 de 5
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A study of deep neural networks for human activity recognition
Wiley (2020)Human activity recognition and deep learning are two fields that have attracted attention in recent years. The former due to its relevance in many application domains, such as ambient assisted living or health monitoring, ... -
Accelerating urban scale simulations leveraging local spatial 3D structure
Elsevier (2022-06-15)This paper presents a hybrid methodology for accelerating Computational Fluid Dynamics (CFD) simulations intertwining inferences from deep neural networks (DNN). The strategy leverages the local spatial data of the velocity ... -
Combined Theoretical and Experimental Study to Unravel the Differences in Promiscuous Amidase Activity of Two Nonhomologous Enzymes
American Chemical Society (2021-07-16)Convergent evolution has resulted in nonhomologous enzymes that contain similar active sites that catalyze the same primary and secondary reactions. Comparing how these enzymes achieve their reaction promiscuity can yield ... -
High performance and energy efficient inference for deep learning on multicore ARM processors using general optimization techniques and BLIS
Elsevier (2022-03-22)We evolve PyDTNN, a framework for distributed parallel training of Deep Neural Networks (DNNs), into an efficient inference tool for convolutional neural networks. Our optimization process on multicore ARM processors ... -
Transfer Learning for Convolutional Indoor Positioning Systems
IEEE (2021-11-29)Fingerprinting is a widely used technique in indoor positioning, mainly due to its simplicity. Usually, this technique is used with the deterministic k - Nearest Neighbors (k-NN) algorithm. Utilizing a neural network model ...