Search Results - "Kumar, Shiu"
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Brain wave classification using long short-term memory network based OPTICAL predictor
Published in Scientific reports (24-06-2019)“…Brain-computer interface (BCI) systems having the ability to classify brain waves with greater accuracy are highly desirable. To this end, a number of…”
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An improved discriminative filter bank selection approach for motor imagery EEG signal classification using mutual information
Published in BMC bioinformatics (28-12-2017)“…Common spatial pattern (CSP) has been an effective technique for feature extraction in electroencephalography (EEG) based brain computer interfaces (BCIs)…”
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A new parameter tuning approach for enhanced motor imagery EEG signal classification
Published in Medical & biological engineering & computing (01-10-2018)“…A brain-computer interface (BCI) system allows direct communication between the brain and the external world. Common spatial pattern (CSP) has been used…”
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4
CSP-TSM: Optimizing the performance of Riemannian tangent space mapping using common spatial pattern for MI-BCI
Published in Computers in biology and medicine (01-12-2017)“…Classification of electroencephalography (EEG) signals for motor imagery based brain computer interface (MI-BCI) is an exigent task and common spatial pattern…”
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Forecasting the spread of COVID-19 using LSTM network
Published in BMC bioinformatics (10-06-2021)“…The novel coronavirus (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2, and within a few months, it has become a global pandemic. This…”
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SPECTRA: a tool for enhanced brain wave signal recognition
Published in BMC bioinformatics (02-06-2021)“…Abstract Background Brain wave signal recognition has gained increased attention in neuro-rehabilitation applications. This has driven the development of…”
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Predicting MoRFs in protein sequences using HMM profiles
Published in BMC bioinformatics (22-12-2016)“…Intrinsically Disordered Proteins (IDPs) lack an ordered three-dimensional structure and are enriched in various biological processes. The Molecular…”
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OPTICAL+: a frequency-based deep learning scheme for recognizing brain wave signals
Published in PeerJ. Computer science (04-02-2021)“…A human-computer interaction (HCI) system can be used to detect different categories of the brain wave signals that can be beneficial for neurorehabilitation,…”
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Correction to: SleepBoost: a multi‑level tree‑based ensemble model for automatic sleep stage classification
Published in Medical & biological engineering & computing (01-09-2024)Get full text
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10
Single-stranded and double-stranded DNA-binding protein prediction using HMM profiles
Published in Analytical biochemistry (01-01-2021)“…DNA-binding proteins perform important roles in cellular processes and are involved in many biological activities. These proteins include crucial protein-DNA…”
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SleepBoost: a multi-level tree-based ensemble model for automatic sleep stage classification
Published in Medical & biological engineering & computing (01-09-2024)“…Neurodegenerative diseases often exhibit a strong link with sleep disruption, highlighting the importance of effective sleep stage monitoring. In this light,…”
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CluSem: Accurate clustering-based ensemble method to predict motor imagery tasks from multi-channel EEG data
Published in Journal of neuroscience methods (01-12-2021)“…The classification of motor imagery electroencephalogram (MI-EEG) is a pivotal task in the biosignal classification process in the brain-computer interface…”
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Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth
Published in Cell reports. Medicine (15-06-2021)“…Identification of pregnancies at risk of preterm birth (PTB), the leading cause of newborn deaths, remains challenging given the syndromic nature of the…”
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14
Android based smart home system with control via Bluetooth and internet connectivity
Published in The 18th IEEE International Symposium on Consumer Electronics (ISCE 2014) (01-06-2014)“…Automation plays an important role in today's human life and people's life is gradually changing with smart living due to modern technology development and…”
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Conference Proceeding -
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A Deep Learning Approach for Motor Imagery EEG Signal Classification
Published in 2016 3rd Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE) (01-12-2016)“…Over the last few decades, the use of electroencephalography (EEG) signals for motor imagery based brain-computer interface (MI-BCI) has gained widespread…”
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Conference Proceeding -
16
Ubiquitous Smart Home System Using Android Application
Published 10-02-2014“…International Journal of Computer Networks & Communications, vol. 6(1), pp. 33-43, 2014 This paper presents a flexible standalone, low-cost smart home system,…”
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Decimation filter with Common Spatial Pattern and Fishers Discriminant Analysis for motor imagery classification
Published in 2016 International Joint Conference on Neural Networks (IJCNN) (01-07-2016)“…Brain Computer Interface (BCI) system converts thoughts into commands for driving external device with Electroencephalography (EEG). This paper presents the…”
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Conference Proceeding -
18
Machine Learning-based Feature Extraction Method for Sleep Stage Classification
Published in 2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (14-06-2023)“…Sleep stage classification is important in diagnosing and treating sleep disorders, but current methods have limitations. An automatic feature extraction…”
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Conference Proceeding -
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Epileptic Seizure Detection Using Convolution Neural Networks
Published in 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (22-06-2022)“…Epilepsy is a central nervous system disorder that affects a substantial number of world's population and disrupts the quality of life of the sufferers. A…”
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Conference Proceeding -
20
Localization for Wireless Sensor Networks: A Neural Network Approach
Published 07-02-2016“…International Journal of Computer Networks & Communications (IJCNC), vol. 8, pp. 61-71, January 2016 As Wireless Sensor Networks are penetrating into the…”
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