AIMC Topic: Mathematical Computing
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A novel Chebyshev neural network approach for solving singular arbitrary order Lane-Emden equation arising in astrophysics.
Network (Bristol, England)
Nov 5, 2020
The motivation of this investigation is to develop a single-layer Chebyshev Neural Network (ChNN) model to handle singular fractional (arbitrary)-order Lane-Emden type equations. These equations are well-known application problems of astrophysics and...
A Technical Review of Convolutional Neural Network-Based Mammographic Breast Cancer Diagnosis.
Computational and mathematical methods in medicine
Mar 25, 2019
This study reviews the technique of convolutional neural network (CNN) applied in a specific field of mammographic breast cancer diagnosis (MBCD). It aims to provide several clues on how to use CNN for related tasks. MBCD is a long-standing problem, ...
Minimalistic Approach to Coreference Resolution in Lithuanian Medical Records.
Computational and mathematical methods in medicine
Mar 20, 2019
Coreference resolution is a challenging part of natural language processing (NLP) with applications in machine translation, semantic search and other information retrieval, and decision support systems. Coreference resolution requires linguistic prep...
Cobb Angle Measurement of Spine from X-Ray Images Using Convolutional Neural Network.
Computational and mathematical methods in medicine
Feb 19, 2019
Scoliosis is a common spinal condition where the spine curves to the side and thus deforms the spine. Curvature estimation provides a powerful index to evaluate the deformation severity of scoliosis. In current clinical diagnosis, the standard curvat...
Humanitarian health computing using artificial intelligence and social media: A narrative literature review.
International journal of medical informatics
Jan 31, 2018
INTRODUCTION: According to the World Health Organization (WHO), over 130 million people are in constant need of humanitarian assistance due to natural disasters, disease outbreaks, and conflicts, among other factors. These health crises can compromis...
Mathematic Network of Seizure Activity: How Presurgical Simulation Can Predict Postsurgical Success.
World neurosurgery
Nov 11, 2017
What Is Morphological Computation? On How the Body Contributes to Cognition and Control.
Artificial life
Jan 31, 2017
The contribution of the body to cognition and control in natural and artificial agents is increasingly described as "offloading computation from the brain to the body," where the body is said to perform "morphological computation." Our investigation ...
Passivity of switched recurrent neural networks with time-varying delays.
IEEE transactions on neural networks and learning systems
Jan 6, 2015
This paper is concerned with the passivity analysis for switched neural networks subject to stochastic disturbances and time-varying delays. First, using the multiple Lyapunov functions method, a state-dependent switching law is designed to present a...
An Improved B-hill Climbing Optimization Technique for Solving the Text Documents Clustering Problem.
Current medical imaging
Jan 1, 2020
BACKGROUND: Considering the increasing volume of text document information on Internet pages, dealing with such a tremendous amount of knowledge becomes totally complex due to its large size. Text clustering is a common optimization problem used to m...
Analysis of reaching movements of upper arm in robot assisted exercises. Kinematic assessment of robot assisted upper arm reaching single-joint movements.
Giornale italiano di medicina del lavoro ed ergonomia
Jan 1, 2016
Robot-mediated therapy (RMT) has been a very dynamic area of research in recent years. Robotics devices are in fact capable to quantify the performances of a rehabilitation task in treatments of several disorders of the arm and the shoulder of variou...
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