[HTML][HTML] A machine learning approach for classifying healthy and infarcted patients using heart rate variabilities derived vector magnitude

RK Agrawal, RR Sewani, D Delen, B Benjamin - Healthcare Analytics, 2022 - Elsevier
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 …

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 …

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 …

[PDF][PDF] Optical character recognition using ant miner algorithm: a case study on oriya character recognition

B Kumar, N Kumar, C Palai, PK Jena… - … Journal of Computer …, 2013 - researchgate.net
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 …

[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 …

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 …

A comprehensive study on evolutionary algorithm‐based multilayer perceptron for real‐world data classification under uncertainty

T Dash, HS Behera - Expert systems, 2019 - Wiley Online Library
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 …

[PDF][PDF] Handwritten signature verification (offline) using neural network approaches: A comparative study

T Dash, T Nayak, S Chattopadhyay - International Journal of …, 2012 - academia.edu
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 …

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 …

[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 …