AIMC Topic: Online Systems
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Incremental Concept Learning via Online Generative Memory Recall.
IEEE transactions on neural networks and learning systems
Jul 6, 2021
The ability to learn more concepts from incrementally arriving data over time is essential for the development of a lifelong learning system. However, deep neural networks often suffer from forgetting previously learned concepts when continually lear...
Artificial Evolution Network: A Computational Perspective on the Expansibility of the Nervous System.
IEEE transactions on neural networks and learning systems
May 3, 2021
Neurobiologists recently found the brain can use sudden emerged channels to process information. Based on this finding, we put forward a question whether we can build a computation model that is able to integrate a sudden emerged new type of perceptu...
Grasping Force Control of Multi-Fingered Robotic Hands through Tactile Sensing for Object Stabilization.
Sensors (Basel, Switzerland)
Feb 14, 2020
Grasping force control is important for multi-fingered robotic hands to stabilize the grasped object. Humans are able to adjust their grasping force and react quickly to instabilities through tactile sensing. However, grasping force control through t...
Out damn bot, out: Recruiting real people into substance use studies on the internet.
Substance abuse
Dec 10, 2019
While the Internet has become a popular and effective strategy for recruiting substance users into research, there is a large risk of recruiting duplicate individuals and Internet bots that pose as humans. Strategies to mitigate these issues are outl...
Novel Consensus Architecture To Improve Performance of Large-Scale Multitask Deep Learning QSAR Models.
Journal of chemical information and modeling
Oct 25, 2019
Advances in the development of high-throughput screening and automated chemistry have rapidly accelerated the production of chemical and biological data, much of them freely accessible through literature aggregator services such as ChEMBL and PubChem...
An approach on the implementation of full batch, online and mini-batch learning on a Mamdani based neuro-fuzzy system with center-of-sets defuzzification: Analysis and evaluation about its functionality, performance, and behavior.
PloS one
Sep 5, 2019
Due to the rapid technological evolution and communications accessibility, data generated from different sources of information show an exponential growth behavior. That is, volume of data samples that need to be analyzed are getting larger, so the m...
Recurrent neural networks for hydrodynamic imaging using a 2D-sensitive artificial lateral line.
Bioinspiration & biomimetics
Jul 11, 2019
The lateral line is a mechanosensory organ found in fish and amphibians that allows them to sense and act on their near-field hydrodynamic environment. We present a 2D-sensitive artificial lateral line (ALL) comprising eight all-optical flow sensors,...
A hybrid fault diagnosis methodology with support vector machine and improved particle swarm optimization for nuclear power plants.
ISA transactions
May 21, 2019
The safety and public health during nuclear power plant operation can be enhanced by accurately recognizing and diagnosing potential problems when a malfunction occurs. However, there are still obvious technological gaps in fault diagnosis applicatio...
Fuzzy neuronal model of motor control inspired by cerebellar pathways to online and gradually learn inverse biomechanical functions in the presence of delay.
Biological cybernetics
Oct 9, 2017
Contrary to forward biomechanical functions, which are deterministic, inverse biomechanical functions are generally not. Calculating an inverse biomechanical function is an ill-posed problem, which has no unique solution for a manipulator with severa...
A computationally efficient method for hand-eye calibration.
International journal of computer assisted radiology and surgery
Jul 19, 2017
PURPOSE: Surgical robots with cooperative control and semiautonomous features have shown increasing clinical potential, particularly for repetitive tasks under imaging and vision guidance. Effective performance of an autonomous task requires accurate...
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