6 papers
Epileptic Seizure Detection in Separate Frequency Bands Using Feature Analysis and Graph Convolutional Neural Network (GCN) from Electroencephalogram (EEG) Signals
Ferdaus Anam Jibon, Fazlul Hasan Siddiqui, F. Deeba +1
Epileptic seizures are neurological disorders characterized by abnormal and excessive electrical activity in the brain, resulting in recurrent seizure events. Electroencephalogram…
Making Brain-Computer Interfaces More Secure
Md Fahimul Kabir Chowdhury, Gahangir Hossain
The development of brain-computer interfaces (BCIs) based on electroencephalograms (EEGs) has advanced significantly mainly to machine learning. Although the majority of earlier re…
Learning-to-Explain through 20Q Gaming: An Explainable Recommender for Cybersecurity Education
Mary Nusrat, Sarfuddin Bhuiyan, Gahangir Hossain
The growing sophistication of contemporary cyber threats necessitates a more effective and adaptive approach to cybersecurity training. Intuitive and adaptive approaches to learnin…
Analyzing Healthcare Interoperability Vulnerabilities: Formal Modeling and Graph-Theoretic Approach
Jawad Mohammed, Gahangir Hossain
In a healthcare environment, the healthcare interoperability platforms based on HL7 FHIR allow concurrent, asynchronous access to a set of shared patient resources, which are indep…
PDPL Metric: Validating a Scale to Measure Personal Data Privacy Literacy Among University Students
Brady D. Lund, Nathan Brown, Ana Roeschley +1
Personal data privacy literacy (PDPL) refers to a collection of digital literacy skills related to an individuals ability to understand, evaluate, and manage the collection, use, a…
OBHS: An Optimized Block Huffman Scheme for Real-Time Audio Compression
Muntahi Safwan Mahfi, Md. Manzurul Hasan, Gahangir Hossain
In this paper, we introduce OBHS (Optimized Block Huffman Scheme), a novel lossless audio compression algorithm tailored for real-time streaming applications. OBHS leverages block-…