School of Engineering, Technology & Sciences: Recent submissions
Now showing items 241-260 of 276
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Editorial: Recent advances in EEG (non-invasive) based BCI applications
(Frontiers, 2023-03-02) -
EEG-Based Preference Classification for Neuromarketing Application
(Hindawi, 2023-03-01)Neuromarketing is a modern marketing research technique whereby consumers’ behavior is analyzed using neuroscientific approaches. In this work, an EEG database of consumers’ responses to image advertisements was created, ... -
Machine Learning Model for Computer-Aided Depression Screening among Young Adults Using Wireless EEG Headset
(Hindawi, 2023-05-31)Depression is a disorder that if not treated can hamper the quality of life. EEG has shown great promise in detecting depressed individuals from depression control individuals. It overcomes the limitations of traditional ... -
Intelligent fuzzy system for automatic artifact detection and removal from EEG signals
(Elsevier, 2022-10-05)The EEG signals were used in many medical and technological applications such as diagnosis of diseases, rehabilitation of disabled peoples, preventive healthcare, BCI (brain computer interface) systems. EEG signal is prone ... -
Modeling Chaotic Behavior of Dhaka Stock Market Index Values Using the Neuro-fuzzy Model
(Bentham Science Publishers, 2020-10-24)Stock market prediction is an important area of financial forecasting, which attracts great interest of stock investors, stock buyers/sellers, policy makers, applied researchers and many others who are involved in the ... -
Comparison of Some Parametric and Nonparametric Type One Sample Confidence Intervals for Estimating the Mean of a Positively Skewed Distribution
(Taylor & Francis Group, 2020-11-23)Several researchers considered various interval estimators for estimating the mean of a skewed distribution. Since they considered in different times and under different simulation conditions, their performance are not ... -
Estimating the population coefficient of variation by confidence intervals
(Taylor & Francis Group, 2020-11-22)Several researchers considered various interval estimators for estimating the population coefficient of variation (CV) of symmetric and skewed distributions. Since they considered at different times and under different ... -
Some Ridge Regression Estimators and Their Performances
(Journal of Modern Applied Statistical Methods, 2020-10-22)The estimation of ridge parameter is an important problem in the ridge regression method, which is widely used to solve multicollinearity problem. A comprehensive study on 28 different available estimators and five ... -
Application of Machine Learning on ECG Signal Classification Using Morphological Features
(IEEE, 2020-06)An electrocardiogram (ECG) is a simple test that is used to check one's heart's electrical activity. Sensors attached to the skin are used to detect the electrical signal produced by one's heart each time it beats. Many ... -
RFID in Healthcare Systems:
(2020-10-19)Everyone has heard about tragic wrong-site, wrong-patient and wrong-procedure surgeries. Using an RFID tag attached to a patient, a physician can now verify the correct patient, procedure and site − prior to the start of ... -
Distance Dependent Service Differentiation of the IEEE 802.11e EDCA on Single Access Point Based WLAN Systems
(Journal of the Bangladesh Electronics Society, 2020-10-19)The IEEE 802.11e Enhanced Distributed Channel Access (EDCA) protocol allows class based differentiated Quality of service (QoS) in a wireless local area network (WLAN). Different fixed values of two certain parameters; ... -
Use of Chipless RFID for Protecting Drug Counterfeit in Upcoming Digital Bangladesh
(International Journal of Mobile & Adhoc Network, 2020-10-19)Problem of drug counterfeiting is a very severe issue in the healthcare sector that may sometimes become fatal. Drug counterfeiting is increasing day by day because of lack of legal protection and technology to identity ... -
Signal Artifacts and Techniques for Artifacts and Noise Removal
(Springer, 2020-10-08)Biosignals have quite low signal-to-noise ratio and are often corrupted by different types of artifacts and noises originated from both external and internal sources. The presence of such artifacts and noises poses a ... -
Influence of particle shape on the efficacy of plasmonic metal nanoparticles to enhance the energy conversion efficiency of thin-film solar cells
(IEEE, 2020-10-07)The energy conversion efficiency of solar cells can be enhanced significantly due to the effect of coupling the solar cells with plasmonic nanostructures. However, while the advantage of using plasmonic nanostructures has ... -
Effect of varying the row and column size of periodic arrays of plasmonic nanoparticles on the energy conversion efficiency of thin-film solar cells
(2020-10-07)The use of plasmonic nanostructures in enhancing the energy conversion efficiency of solar cells has been of great interest in recent times. While much of this interest has resulted in research for analyzing the metals ... -
Performance Evaluation of 1kW Asynchronous and Synchronous Buck Converter-based Solar-powered Battery Charging System for Electric Vehicles
(IEEE, 2020-09-05)This paper presents the design and evaluates the system performance of one-kilowatt capacity asynchronous and synchronous buck converter based solar-powered charging systems for battery-driven electric vehicles. The dc ... -
Dual-Core Photonic Crystal Fiber-Based Plasmonic RI Sensor in the Visible to Near-IR Operating Band
(IEEE, 2020-10-04)In this paper, a dual-core photonic crystal fiber (DC-PCF) based surface plasmon resonance (SPR) bio-compatible sensor is proposed for various bio-organic molecules and biochemical analytes refractive index (RI) detection ... -
Discretization and Feature Selection Based on Bias Corrected Mutual Information Considering High-Order Dependencies
(Springer Link, 2020-10-04)Mutual Information (MI) based feature selection methods are popular due to their ability to capture the nonlinear relationship among variables. However, existing works rarely address the error (bias) that occurs due to the ... -
A Proximity Weighted Evidential k Nearest Neighbor Classifier for Imbalanced Data
(2020-10-04)In k Nearest Neighbor (kNN) classifier, a query instance is classified based on the most frequent class of its nearest neighbors among the training instances. In imbalanced datasets, kNN becomes biased towards the majority ... -
An Exploratory Approach to Find a Novel Metric Based Optimum Language Model for Automatic Bangla Word Prediction
(International Journal of Intelligent Systems and Applications, 2020-09-27)Word completion and word prediction are two important phenomena in typing that have intense effect on aiding disable people and students while using keyboard or other similar devices. Such auto completion technique also ...
