Department of Computer Science and Engineering
Browse by
Sub-communities within this community
Recent Submissions
-
User Disengagement-Oriented Target Enforcement for Multi-Tenant Database Systems
(ACM, 2023-10)Unexpected long query latency of a database system can cause domino effects on all the upstream services and severely degrade end users’ experience with unpredicted long waits, resulting in an increasing number of users ... -
Phishing in the Free Waters: A Study of Phishing Attacks Created using Free Website Building Services
(ACM, 2023-10)Free Website Building services (FWBs) provide individuals with a cost-effective and convenient way to create a website without requiring advanced technical knowledge or coding skills. However, malicious actors often abuse ... -
SmartFunction: An Immersive Vr System To Assess Attention Using Embodied Cognition
(ACM, 2023-07)In traditional neuropsychological tests, executive functions (EFs) are typically evaluated using paper and pencil or computer-based sit-down tasks. However, a new assessment framework, the Automated Test of Embodied ... -
A Teleoperation Framework for Robots Utilizing Control Barrier Functions in Virtual Reality
(ACM, 2023-07)This paper describes a novel shared control teleoperation framework for mobile robots that utilizes Control Barrier Functions (CBFs) as filtering mechanism to prevent a human operator from making dangerous actions. The ... -
Detecting Cognitive Fatigue in Subjects with Traumatic Brain Injury from FMRI Scans Using Self-Supervised Learning
(ACM, 2023-07)Understanding cognitive states from fMRI data have yet to be investigated to its full extent due to its complex nature. In this work, the problem of understanding cognitive fatigue among TBI patients has been formulated ... -
An RGB-D Fusion System for Indoor Wheelchair Navigation
(ACM, 2023-07)We present a method for extracting high-level semantic information through successful landmark detection using feature fusion between RGB and depth information. We focus on the classification of specific labels (open ... -
An EEG-based Cognitive Fatigue Detection System
(ACM, 2023-07)Mental or Cognitive fatigue (CF) is the exhaustion of the neurological system brought on by prolonged cognitive tasks. It causes performance to decline in day-to-day life. Throughout this paper, we present an experimental ... -
Remote Operated Human Robot Interactive System using Hand Gestures for Persons with Disabilities
(ACM, 2023-07)This paper proposes a novel Human-Robot Interactive System where users can interact with the robotic system using hand gestures, even from a distance, through a smartphone-based IoT-Controller Framework. The system is ... -
Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering
(ACM, 2023-08-04)To contribute to automating the medical vision-language model, we propose a novel Chest-Xray Difference Visual Question Answering (VQA) task. Given a pair of main and reference images, this task attempts to answer several ... -
Towards Nuclei Segmentation with Limited Annotations
(2023-09-01)Nuclei segmentation is a fundamental but challenging task in histopathology image analysis. For semantic segmentation of nuclei, Convolutional Neural Network (CNN), and Vision Transformer (VT) models give very promising ... -
Generative and Implicit Methods for 3D Point Cloud Processing
(2023-08-15)3D point clouds are a popular form of data representation with many applications in computer vision, computer graphics, and robotics. As the output of range sensing devices, point clouds have gained popularity with the ... -
DEEP LEARNING FOR MOLECULAR PROPERTY PREDICTION
(2023-08-14)Drug discovery has always been a crucial task for society, and molecular property prediction is one of the fundamental problem. It is responsible for identifying the target properties or severe side-effects, so that certain ... -
On-Line Environment Adaptation for User Performance Optimization
(2023-08-14)In today’s fast-paced and globally connected world, businesses are creating products with more significance to user personalization and customization. This has amplified the importance of capturing and learning user ... -
COMPACT REPRESENTATIVES OF DATABASES AND RESPONSIBLE DATA MANAGEMENT
(2023-08-08)With the advent of advanced computational models, we are being constantly judged by AI systems, complex algorithmic systems based on data that has been collected about us. These analysis are critical as they span many wide ... -
INVESTIGATING THE EFFECT OF PEEPHOLE OPTIMIZATIONS ON BINARY CODE DIFFERENCES
(2023-09-01)**Please note that the full text is embargoed until 8/1/2025** ABSTRACT: Binary diffing is a technique used to compare and identify differences or similarities in executable files without access to source code. The potential ... -
RESOURCE PROVISIONING FOR DATA-INTENSIVE USER-FACING APPLICATIONS
(2023-07-27)**Please note that the full text is embargoed until 08/01/2024** Data-intensive, User-facing Services (DUSes) such as web searching, digital marketing, online social networking, and online retailing are critical workloads ... -
Fuzz Testing of Zigbee Protocol Implementations
(2023-07-12)In recent years, we have witnessed the increasing of the Internet of Things (IoT) devices deployed by many areas, such as home automation, healthcare, manufacture, and smart vehicle. Among the numerous IoT wireless standards ... -
A PARALLEL IMPLEMENTATION OF APRIORI ALGORITHM FOR MINING FREQUENT ITEMSETS IN HADOOP MAPREDUCE FRAMEWORK
With explosive growth of data in past few years, discovering previously unknown, frequent patterns within the huge transactional data sets has been one of the most challenging and ventured fields in data mining. Apriori ... -
Video-based Face Recognition using Deep Learning for Single Sample Per Person (SSPP) Surveillance Applications
Face Recognition (FR) is the task of identifying a person based on images of the face of the identity. Systems for video-based face recognition in video surveillance seek to recognize individuals of interest in real-time ... -
A Probabilistic Approach to Crowdsourcing Pareto-Optimal Object Finding by Pairwise Comparisons
This is an extended study on crowdsourcing Pareto-Optimal Object Finding by Pairwise Comparisons. The prior study on the same topic demonstrate the framework and algorithms used to determine all the Pareto-Optimal objects ...