Smart data processing for energy harvesting systems using artificial intelligence
Recent substantial advancements in computational techniques, particularly in artificial
intelligence (AI) and machine learning (ML), have raised the demand for smart self-powered …
intelligence (AI) and machine learning (ML), have raised the demand for smart self-powered …
A dynamically configurable coprocessor for convolutional neural networks
S Chakradhar, M Sankaradas, V Jakkula… - Proceedings of the 37th …, 2010 - dl.acm.org
Convolutional neural networks (CNN) applications range from recognition and reasoning
(such as handwriting recognition, facial expression recognition and video surveillance) to …
(such as handwriting recognition, facial expression recognition and video surveillance) to …
Using convolutional neural networks for predictive process analytics
V Pasquadibisceglie, A Appice… - … on process mining …, 2019 - ieeexplore.ieee.org
Predictive process monitoring has recently become one of the main enablers of data-driven
insights in process mining. As an application of predictive analytics, process prediction is …
insights in process mining. As an application of predictive analytics, process prediction is …
Cognitive computing programming paradigm: a corelet language for composing networks of neurosynaptic cores
Marching along the DARPA SyNAPSE roadmap, IBM unveils a trilogy of innovations towards
the TrueNorth cognitive computing system inspired by the brain's function and efficiency …
the TrueNorth cognitive computing system inspired by the brain's function and efficiency …
Cognitive computing systems: Algorithms and applications for networks of neurosynaptic cores
SK Esser, A Andreopoulos… - … Joint Conference on …, 2013 - ieeexplore.ieee.org
Marching along the DARPA SyNAPSE roadmap, IBM unveils a trilogy of innovations towards
the TrueNorth cognitive computing system inspired by the brain's function and efficiency …
the TrueNorth cognitive computing system inspired by the brain's function and efficiency …
[HTML][HTML] EKF-SIRD model algorithm for predicting the coronavirus (COVID-19) spreading dynamics
In this paper, we study the Covid 19 disease profile in the Algerian territory since February
25, 2020 to February 13, 2021. The idea is to develop a decision support system allowing …
25, 2020 to February 13, 2021. The idea is to develop a decision support system allowing …
[HTML][HTML] Convolutional neural networks in process mining and data analytics for prediction accuracy
E Obodoekwe, X Fang, K Lu - Electronics, 2022 - mdpi.com
For the reliable prediction and analysis of large amounts of data, big data analytics may be
applied in many disciplines. They facilitate the discovery of important information in large …
applied in many disciplines. They facilitate the discovery of important information in large …
[Retracted] Design and Application of Vocal Music Teaching Management System
L Sudu - Mathematical Problems in Engineering, 2022 - Wiley Online Library
This article proposes a virtual reality‐based management system for vocal music instruction.
Additionally, this article proposes an improved algorithm for automatic vocal main melody …
Additionally, this article proposes an improved algorithm for automatic vocal main melody …
Kernel machines for epilepsy diagnosis via EEG signal classification: A comparative study
CAM Lima, ALV Coelho - Artificial Intelligence in Medicine, 2011 - Elsevier
OBJECTIVE: We carry out a systematic assessment on a suite of kernel-based learning
machines while coping with the task of epilepsy diagnosis through automatic …
machines while coping with the task of epilepsy diagnosis through automatic …
A new hybrid approach based on AOA, CNN and feature fusion that can automatically diagnose Parkinson's disease from sound signals: PDD-AOA-CNN
Parkinson's is one of the most rapidly increasing neurological diseases in the world, caused
by the deficiency of dopamine-producing cells in the brain. Voice disorders are a significant …
by the deficiency of dopamine-producing cells in the brain. Voice disorders are a significant …