A5010485343- EEG and Brain-Computer Interfaces
- Blind Source Separation Techniques
- COVID-19 diagnosis using AI
- Neuroscience and Neural Engineering
- Epilepsy research and treatment
- Acute Ischemic Stroke Management
- Gas Sensing Nanomaterials and Sensors
- Hand Gesture Recognition Systems
- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Context-Aware Activity Recognition Systems
- Digital Imaging for Blood Diseases
- Dyeing and Modifying Textile Fibers
- Retinal and Optic Conditions
- Advanced battery technologies research
- Stroke Rehabilitation and Recovery
- Artificial Intelligence in Healthcare
- Retinal Imaging and Analysis
- ZnO doping and properties
- Gaze Tracking and Assistive Technology
- Nanocomposite Films for Food Packaging
- Non-Invasive Vital Sign Monitoring
- Brain Tumor Detection and Classification
- Retinal Diseases and Treatments
- Nanoparticles: synthesis and applications
Khulna University of Engineering and Technology
2021-2024
The Nigella Sativa seeds were utilized for the environment-friendly zinc oxide nanoparticles (ZnO NPs), as evident by observation of a white precipitate. Numerous analytical techniques, such XRD, FTIR, UV-vis, SEM, and EDX, to describe specimen's structural, optical, electrical properties. XRD analysis was used confirm that ZnO NPs crystalline. An absorbance peak at 401 nm observed in Uv-vis, indicating have 2.91 eV bandgap. Functional groups are present NPs, seen FTIR graph. nanoparticles'...
<title>Abstract</title> This study delves into exploring the medical potentials of Chitosan-ZnO nanoparticles integrated onto jute cotton fabric. Employing a sustainable approach, ZnO and chitosan were synthesized through eco-friendly methods, utilizing <italic>Nigella sativa</italic> seed extract shrimp shell, respectively. After that, these components applied to fabric using dip-pad-dry-cure technique, together with 2-weight percent acrylic binder. During coating procedure, also mixed...
Stroke occurs when our brain's blood flow is stopped or reduced, restricting brain tissue from receiving oxygen and important nutrients. Treatment of stroke disease very crucial. So, the prediction significant for early intervention treatment. can be predicted by analyzing different warning signs. In this experiment, we implement a process risk dataset using various machine learning algorithms. Data imputation, feature selection, data preprocessing considered as initial job in work. Some...
"Epilepsy is a chronic brain disorder that affects people of all ages. The cause epilepsy often unknown and its effect in different age groups not yet investigated. main objective this study to introduce novel approach successfully detects even from noisy EEG signals. In addition, also investigates population specific detection for providing insights. Correspondingly, we utilized the TUH corpus database, publicly available challenging multi-channel database containing detailed patient...
Abstract Epilepsy is a chronic neurological disease, characterized by spontaneous, unprovoked, recurrent seizures that may lead to long-term disability and premature death. Despite significant efforts made improve epilepsy detection clinically pre-clinically, the pervasive presence of noise in EEG signals continues pose substantial challenges their effective application. In addition, discriminant features for have not been investigated yet. The objective this study develop hybrid model from...
Optical Coherence Tomography (OCT) was first introduced in the 1990'. It utilizes concept of interferometry to create a cross-sectional map retina., accurate within 10–15 microns. Identifying actual diseases occurring retina layer., is challenging task. There exist several automated techniques for disease classification like image processing., deep learning. Unfortunately., these often produce error., lower precision., excessive memory localization., inefficiency computation., further...
COVID-19 has become one of the most virulent, acute, and life-threatening diseases in recent times. No clinically approved drug is available till now for its treatment. Therefore, early swift detection very essential reducing overall mortality. The chest x-ray image possible alternative methods detecting COVID-19. Researchers are exploring processing techniques along with deep learning-based models like AlexNet, VGGNet, SqueezeNet, GoogleNet, etc. to detect This study aims formulate,...
Social distancing, isolation, and quarantining are very familiar words since the outbreak of coronavirus (COVID-19). COVID - 19 is a highly contagious pathogenic viral infection. It risky to get close contact with people who have COVID-19 symptoms or positive; nevertheless, covid patient monitoring also significant for saving his/her life. To solve Covid-19 pandemic situation accentuates focus on remote monitoring. A small smart healthcare support system built monitor patients' health status...
Human being wants to convey their feelings by interacting with people surrounding them. But this is not a case of speech-hearing impaired whom we call deaf-dumb. This community face lots helplessness & discrimination. According World Federation the Deaf (WFD), there are approximately 70 million deaf mute people. Previous research works focused on building communication system for but most prone inconveniency, example, heavyweight, expensive, and user-unfriendly. Our paper introducing...