AIMC Topic: Neural Networks, Computer

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Artificial Intelligence Algorithm-Based Economic Denial of Sustainability Attack Detection Systems: Cloud Computing Environments.

Sensors (Basel, Switzerland)
Cloud computing is currently the most cost-effective means of providing commercial and consumer IT services online. However, it is prone to new flaws. An economic denial of sustainability attack (EDoS) specifically leverages the pay-per-use paradigm ...

Defects Recognition Algorithm Development from Visual UAV Inspections.

Sensors (Basel, Switzerland)
Aircraft maintenance plays a key role in the safety of air transport. One of its most significant procedures is the visual inspection of the aircraft skin for defects. This is mainly carried out manually and involves a high skilled human walking arou...

An Improved Deep Neural Network Model of Intelligent Vehicle Dynamics via Linear Decreasing Weight Particle Swarm and Invasive Weed Optimization Algorithms.

Sensors (Basel, Switzerland)
We propose an improved DNN modeling method based on two optimization algorithms, namely the linear decreasing weight particle swarm optimization (LDWPSO) algorithm and invasive weed optimization (IWO) algorithm, for predicting vehicle's longitudinal-...

Fast and Efficient Method for Optical Coherence Tomography Images Classification Using Deep Learning Approach.

Sensors (Basel, Switzerland)
The use of optical coherence tomography (OCT) in medical diagnostics is now common. The growing amount of data leads us to propose an automated support system for medical staff. The key part of the system is a classification algorithm developed with ...

PRAPNet: A Parallel Residual Atrous Pyramid Network for Polyp Segmentation.

Sensors (Basel, Switzerland)
In a colonoscopy, accurate computer-aided polyp detection and segmentation can help endoscopists to remove abnormal tissue. This reduces the chance of polyps developing into cancer, which is of great importance. In this paper, we propose a neural net...

Effects of thickness reduction in cold rolling process on the formability of sheet metals using ANFIS.

Scientific reports
Cold rolling has detrimental effect on the formability of sheet metals. It is, however, inevitable in producing sheet high quality surfaces. The effects of cold rolling on the forming limits of stretch sheets are not investigated comprehensively in t...

Discriminating TB lung nodules from early lung cancers using deep learning.

BMC medical informatics and decision making
BACKGROUND: In developing countries where both high rates of smoking and endemic tuberculosis (TB) are often present, identification of early lung cancer can be significantly confounded by the presence of nodules such as those due to latent TB (LTB)....

A neural network-based algorithm for simultaneous event positioning and timestamping in monolithic scintillators.

Physics in medicine and biology
. Monolithic scintillator crystals coupled to silicon photomultiplier (SiPM) arrays are promising detectors for PET applications, offering spatial resolution around 1 mm and depth-of-interaction information. However, their timing resolution has alway...

Sequence learning, prediction, and replay in networks of spiking neurons.

PLoS computational biology
Sequence learning, prediction and replay have been proposed to constitute the universal computations performed by the neocortex. The Hierarchical Temporal Memory (HTM) algorithm realizes these forms of computation. It learns sequences in an unsupervi...

Error-based or target-based? A unified framework for learning in recurrent spiking networks.

PLoS computational biology
The field of recurrent neural networks is over-populated by a variety of proposed learning rules and protocols. The scope of this work is to define a generalized framework, to move a step forward towards the unification of this fragmented scenario. I...