Browsing Faculty Contributions by Subject "classification"
Now showing items 1-19 of 19
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A Fitted Fuzzy-rough Method for Missing Data Imputation
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Missing data imputation is a fundamental task for reducing uncertainty and vagueness in medical dataset. Fuzzyrough set has taken very important role to accurate representation original information. This paper proposes ... -
An Improvement of Support Vector Machine Imputation Algorithm Based on Multiple Iteration and Grid Search Strategies
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Data missing is a vitally important issue that influences the classification results in medical field. This paper proposes an improved support vector machine (SVM) imputation algorithm by using strategies of pre-imputation, ... -
An intelligent nonintrusive load monitoring scheme based on 2D phase encoding of power signals
( John Wiley and Sons Ltd , 2021 , Article)Nonintrusive load monitoring (NILM) is the de facto technique for extracting device-level power consumption fingerprints at (almost) no cost from only aggregated mains readings. Specifically, there is no need to install ... -
Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques
( MDPI , 2021 , Article)Plants are a major source of food for the world population. Plant diseases contribute to production loss, which can be tackled with continuous monitoring. Manual plant disease monitoring is both laborious and error-prone. ... -
Brain Tumor Segmentation and Classification from Sensor-Based Portable Microwave Brain Imaging System Using Lightweight Deep Learning Models
( MDPI , 2023 , Article)Automated brain tumor segmentation from reconstructed microwave (RMW) brain images and image classification is essential for the investigation and monitoring of the progression of brain disease. The manual detection, ... -
Classification of fetal movement accelerometry through time-frequency features
( IEEE , 2014 , Conference Paper)This paper presents a time-frequency approach for fetal movement monitoring which is based on classification of accelerometry signals collected from pregnant women's abdomen. Features extracted from time-frequency distribution ... -
Convolutional Sparse Support Estimator-Based COVID-19 Recognition from X-Ray Images
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Coronavirus disease (COVID-19) has been the main agenda of the whole world ever since it came into sight. X-ray imaging is a common and easily accessible tool that has great potential for COVID-19 diagnosis and prognosis. ... -
Deep learning based classification of unsegmented phonocardiogram spectrograms leveraging transfer learning
( IOP Publishing Ltd , 2021 , Article)Objective. Cardiovascular diseases (CVDs) are a main cause of deaths all over the world. This research focuses on computer-aided analysis of phonocardiogram (PCG) signals based on deep learning that can enable improved and ... -
Haralick feature extraction from time-frequency images for epileptic seizure detection and classification of EEG data
( IEEE , 2014 , Conference Paper)This paper presents novel time-frequency (t-f) features based on t-f image descriptors for the automatic detection and classification of epileptic seizure activities in EEG data. Most previous methods were based only on ... -
Heterogeneous Multilayer Generalized Operational Perceptron
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)The traditional multilayer perceptron (MLP) using a McCulloch-Pitts neuron model is inherently limited to a set of neuronal activities, i.e., linear weighted sum followed by nonlinear thresholding step. Previously, generalized ... -
Inequality Indexes as Sparsity Measures Applied to Ventricular Ectopic Beats Detection and its Efficient Hardware Implementation
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Article)Meeting application requirements under a tight power budget is of a primary importance to enable connected health internet of things applications. This paper considers using sparse representation and well-defined inequality ... -
Isolation and Physicochemical Characterization of Laccase from Ganoderma lucidum-CDBT1 Isolated from Its Native Habitat in Nepal
( Hindawi Limited , 2016 , Article)At present, few organisms are known to and capable of naturally producing laccases and white rot fungi are one such group. In the present study, three fungal species, namely, Ganoderma lucidum-CDBT1, Ganoderma japonicum, ... -
Patient-Specific Seizure Detection Using Nonlinear Dynamics and Nullclines
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Nonlinear dynamics has recently been extensively used to study epilepsy due to the complex nature of the neuronal systems. This study presents a novel method that characterizes the dynamic behavior of pediatric seizure ... -
Text Summarization Based on Conceptual Data Classification
( IGI Global , 2006 , Article)In this article, we present an original approach for text summarization using conceptual data classification. We show how a given text can be summarized without losing meaningful knowledge and without using any semantic ... -
Text summarization based on conceptual data classification
( IGI Global , 2008 , Book chapter)In this paper, we present an original approach for text summarization using conceptual data classification. We show how a given text can be summarized without losing meaningful knowledge and without using any semantic or ... -
Texture analysis for colorectal tumour biopsies using multispectral imagery
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)Colorectal cancer is one of the most common cancers in the world. As part of its diagnosis, a histological analysis is often run on biopsy samples. Multispecral imagery taken from cancer tissues can be useful to capture ... -
UAV-based Semi-Autonomous Data Acquisition and Classification
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)In the context of mobile Health (mHealth) applications, data are prone to several sources of contamination which would lead to false interpretation and misleading classification results. In this paper, a robust deep learning ... -
Ultrasound-Based Image Analysis for Predicting Carotid Artery Stenosis Risk: A Comprehensive Review of the Problem, Techniques, Datasets, and Future Directions
( MDPI , 2023 , Article Review)The carotid artery is a major blood vessel that supplies blood to the brain. Plaque buildup in the arteries can lead to cardiovascular diseases such as atherosclerosis, stroke, ruptured arteries, and even death. Both ... -
Uncertainty and Equivalence Relation Analysis for Hesitant Fuzzy-Rough Sets and Their Applications in Classification
( IEEE Computer Society , 2019 , Article)The fusion of hesitant fuzzy set (HFS) and fuzzy-rough set (FRS) is explored and applied into the task of classification due to its capability of conveying hesitant and uncertainty information. In this paper, on the basis ...