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[HTML][HTML] A machine learning approach for classifying healthy and infarcted patients using heart rate variabilities derived vector magnitude
Abstract According to the World Health Organization, Heart disease is the number one killer
of humans, with coronary heart disease (CHD) being the most common type of heart …
of humans, with coronary heart disease (CHD) being the most common type of heart …
Applications of artificial intelligence in assessment for learning in schools
S Chattopadhyay, S Shankar… - Handbook of research …, 2018 - igi-global.com
Abstract Assessment for Learning (AfL) is a process in measuring the learning outcome in
students. Current practices in assessing the academic performance of students in most of …
students. Current practices in assessing the academic performance of students in most of …
English character recognition using artificial neural network
T Dash, T Nayak - arxiv preprint arxiv:1306.4621, 2013 - arxiv.org
This work focuses on development of a Offline Hand Written English Character Recognition
algorithm based on Artificial Neural Network (ANN). The ANN implemented in this work has …
algorithm based on Artificial Neural Network (ANN). The ANN implemented in this work has …
[PDF][PDF] Optical character recognition using ant miner algorithm: a case study on oriya character recognition
ABSTRACT Optical Character Recognition (OCR) is one of the challenging areas in the
domain of image processing, where the handwritten or printed characters are digitized by …
domain of image processing, where the handwritten or printed characters are digitized by …
[PDF][PDF] Handwritten signature verifications using adaptive resonance theory type-2 (art-2) net
T Dash - Journal of Global Research in Computer Science, 2012 - researchgate.net
Authorizing hand-written signature has always been a challenge to prevent illegal
transactions, especially when the forged and the original signatures are very „similar …
transactions, especially when the forged and the original signatures are very „similar …
Non-correlated character recognition using artificial neural network
T Dash, T Nayak - arxiv preprint arxiv:1306.4629, 2013 - arxiv.org
This paper investigates a method of Handwritten English Character Recognition using
Artificial Neural Network (ANN). This work has been done in offline Environment for non …
Artificial Neural Network (ANN). This work has been done in offline Environment for non …
A comprehensive study on evolutionary algorithm‐based multilayer perceptron for real‐world data classification under uncertainty
In the area of neurocognition, classification of data is one of the most important phases.
Conventional biologically inspired neural network models such as multilayer perceptrons …
Conventional biologically inspired neural network models such as multilayer perceptrons …
[PDF][PDF] Handwritten signature verification (offline) using neural network approaches: A comparative study
Forgery detection has been a challenging area in the field of biometry, eg, handwritten
signatures. Signature verification is a bi-objective optimization problem. The two crucial …
signatures. Signature verification is a bi-objective optimization problem. The two crucial …
A novel approach for intelligent robot path planning
T Dash, G Mishra, T Nayak - arxiv preprint arxiv:1306.4672, 2013 - arxiv.org
Path planning of Robot is one of the challenging fields in the area of Robotics research. In
this paper, we proposed a novel algorithm to find path between starting and ending position …
this paper, we proposed a novel algorithm to find path between starting and ending position …
[PDF][PDF] Chain multiplication of dense matrices: proposing a shared memory based parallel algorithm
T Dash, T Nayak - International Journal of Computer Applications, 2012 - Citeseer
Chain multiplication of matrices is widely used for scientific computing. It becomes more
challenging when there is large number of floating point dense matrices. Because, floating …
challenging when there is large number of floating point dense matrices. Because, floating …