Panel on the Nexus of Knowledge Management and Information Science: What Past and Present Trends Tell Us About the Future (open access)

Panel on the Nexus of Knowledge Management and Information Science: What Past and Present Trends Tell Us About the Future

This panel brings together leaders from knowledge management and information science to discuss the trends and opportunities for collaboration within and between these fields.
Date: November 10, 2018
Creator: Freeburg, Darin; Liebowitz, Jay; Marchionini, Gary; Hawamdeh, Suliman M.; Makani, Joyline & Sappington, Jayne
Object Type: Paper
System: The UNT Digital Library

Examining the Integration Engineering and the Mergers and Acquisitions Processes Through the Evaluation of Intangible Assets in Knoweldge Management in Organizations: A Brazilian Case

Presentation for the 2018 International Conference on Knowledge Management. This presentation examines how to measure intellectual capital as intangible assets in companies applying the Mergers and Acquisitions process.
Date: November 10, 2018
Creator: de Sa Freire, Patricia & Merlo, Tereza Raquel
Object Type: Presentation
System: The UNT Digital Library
A Novel Hybrid Edge Detection and LBP Code-Based Robust Image Steganography Method (open access)

A Novel Hybrid Edge Detection and LBP Code-Based Robust Image Steganography Method

Article describes how in digital image processing and steganography, images are often described using edges and local binary pattern (LBP) codes. The authors state that by combining these two properties, a novel hybrid image steganography method of secret embedding is proposed in this paper.
Date: March 10, 2023
Creator: Sultana, Habiba; Kamal, A. H. M.; Hossain, Gahangir & Kabir, Muhammad Ashad
Object Type: Article
System: The UNT Digital Library
Computational modeling of human reasoning processes for interpretable visual knowledge: a case study with radiographers (open access)

Computational modeling of human reasoning processes for interpretable visual knowledge: a case study with radiographers

Article proposing a computational method to quantify and dissect visual reasoning. The method characterizes spatial and temporal features and identifies common and contrast visual reasoning patterns to extract significant gaze activities. The visual reasoning patterns are explainable and can be compared among different groups to discover strategy differences. Empirical observations show that the method can capture the temporal and spatial features of human visual attention and distinguish expertise level. By revealing task-related reasoning processes, this method demonstrates potential for explaining human visual understanding.
Date: December 10, 2020
Creator: Li, Yuan; Cao, Hongfei; Allen, Carla M.; Wang, Xin; Erdelez, Sanda & Shyu, Chi-Ren
Object Type: Article
System: The UNT Digital Library