Digital Commons Network^™

Computer Aided Autism Diagnosis Using Diffusion Tensor Imaging, Yaser A. Elnakieb, Mohamed T. Ali, Ahmed Soliman, Ali H. Mahmoud, Ahmed M. Shalaby, Norah Saleh Alghamdi, Mohammed Ghazal, Ashraf Khalil, Andrew Switala, Robert S. Keynton, Gregory Neal Barnes, Ayman El-Baz

All Works

© 2013 IEEE. Autism Spectrum Disorder (ASD), commonly known as autism, is a lifelong developmental disorder associated with a broad range of symptoms including difficulties in social interaction, communication skills, and restricted and repetitive behaviors. In autism spectrum disorder, numerous studies suggest abnormal development of neural networks that manifest itself as abnormalities of brain shape, functionality, and/ or connectivity. The aim of this work is to present our automated computer aided diagnostic (CAD) system for accurate identification of autism spectrum disorder based on the connectivity of the white matter (WM) tracts. To achieve this goal, two levels of analysis are …

Defining Digital Addiction: Key Features From The Literature, Mohamed Basel Almourad, John Mcalaney, Tiffany Skinner, Megan Pleva, Raian Ali

All Works

© 2020 by authors. Within recent years there has been increasing societal concern around the compulsive and excessive use of digital and Internet-enabled devices, such as the use of social media or online video gaming, and associated psychological and physical harms. However, problematic use or addictive behaviours are not yet included as diagnosable mental health issues in any major diagnostic system in Western countries and the conceptualisations of the phenomena are still inconsistent. To address this issue, the present study reviewed the current conceptualisations of digital addiction used within the research literature and identified common features of the definition of …

Vietnamese Punctuation Prediction Using Deep Neural Networks, Thuy Pham, Nhu Nguyen, Hong Quang Pham, Han Cao, Binh Nguyen

Research Collection School Of Computing and Information Systems

Adding appropriate punctuation marks into text is an essential step in speech-to-text where such information is usually not available. While this has been extensively studied for English, there is no large-scale dataset and comprehensive study in the punctuation prediction problem for the Vietnamese language. In this paper, we collect two massive datasets and conduct a benchmark with both traditional methods and deep neural networks. We aim to publish both our data and all implementation codes to facilitate further research, not only in Vietnamese punctuation prediction but also in other related fields. Our project, including datasets and implementation details, is publicly …

Coupled Rain Streak And Background Estimation Via Separable Element-Wise Attention, Yinjie Tan, Qiang Wen, Jing Qin, Jianbo Jiao, Guoqiang Han, Shengfeng He

Research Collection School Of Computing and Information Systems

Single image de-raining is challenging especially in the scenarios with dense rain streaks. Existing methods resolve this problem by predicting the rain streaks of the image, which constrains the network to focus on local rain streaks features. However, dense rain streaks are visually similar to mist or fog (with large intensities), in this case, the training objective should be shifted to image recovery instead of extracting rain streaks. In this paper, we propose a coupled rain streak and background estimation network that explores the intrinsic relations between two tasks. In particular, our network produces task-dependent feature maps, each part of …

Machine Learning Techniques For Quantification Of Knee Segmentation From Mri, Sujeet More, Jimmy Singla, Ahed Abugabah, Ahmad Ali Alzubi

All Works

© 2020 Sujeet More et al. Magnetic resonance imaging (MRI) is precise and efficient for interpreting the soft and hard tissues. Moreover, for the detailed diagnosis of varied diseases such as knee rheumatoid arthritis (RA), segmentation of the knee magnetic resonance image is a challenging and complex task that has been explored broadly. However, the accuracy and reproducibility of segmentation approaches may require prior extraction of tissues from MR images. The advances in computational methods for segmentation are reliant on several parameters such as the complexity of the tissue, quality, and acquisition process involved. This review paper focuses and briefly …

Menopause-Specific Quality Of Life Among Emirati Women, Linda Smail, Ghufran Jassim, Anam Shakil

All Works

© 2019 by the authors. Licensee MDPI, Basel, Switzerland. To investigate the quality of life (QOL) of menopausal Emirati women aged 40–64 years and determine its relationship with their sociodemographic characteristics. A community-based cross-sectional study was conducted on 70 Emirati women using multistage stratified clustered random sampling. The participants were interviewed face-to-face using a structured questionnaire comprising sociodemographic variables, reproductive characteristics, and the Menopause-Specific Quality of Life (MENQOL) questionnaire. The most common symptom among the study participants was ‘aching in the muscles’. The participants had a moderate level of bothersome symptoms; in addition, vasomotor symptoms were reported by 61%, while …

Ai Techniques For Covid-19, Adedoyin Ahmed Hussain, Ouns Bouachir, Fadi Al-Turjman, Moayad Aloqaily

All Works

© 2013 IEEE. Artificial Intelligence (AI) intent is to facilitate human limits. It is getting a standpoint on human administrations, filled by the growing availability of restorative clinical data and quick progression of insightful strategies. Motivated by the need to highlight the need for employing AI in battling the COVID-19 Crisis, this survey summarizes the current state of AI applications in clinical administrations while battling COVID-19. Furthermore, we highlight the application of Big Data while understanding this virus. We also overview various intelligence techniques and methods that can be applied to various types of medical information-based pandemic. We classify the …

Neighbourhood Structure Preserving Cross-Modal Embedding For Video Hyperlinking, Yanbin Hao, Chong-Wah Ngo, Benoit Huet

Research Collection School Of Computing and Information Systems

Video hyperlinking is a task aiming to enhance the accessibility of large archives, by establishing links between fragments of videos. The links model the aboutness between fragments for efficient traversal of video content. This paper addresses the problem of link construction from the perspective of cross-modal embedding. To this end, a generalized multi-modal auto-encoder is proposed.& x00A0;The encoder learns two embeddings from visual and speech modalities, respectively, whereas each of the embeddings performs self-modal and cross-modal translation of modalities. Furthermore, to preserve the neighbourhood structure of fragments, which is important for video hyperlinking, the auto-encoder is devised to model data …

Vireo @ Video Browser Showdown 2020, Phuong Anh Nguyen, Jiaxin Wu, Chong-Wah Ngo, Danny Francis, Benoit Huet

Research Collection School Of Computing and Information Systems

In this paper, we present the features implemented in the 4th version of the VIREO Video Search System (VIREO-VSS). In this version, we propose a sketch-based retrieval model, which allows the user to specify a video scene with objects and their basic properties, including color, size, and location. We further utilize the temporal relation between video frames to strengthen this retrieval model. For text-based retrieval module, we supply speech and on-screen text for free-text search and upgrade the concept bank for concept search. The search interface is also re-designed targeting the novice user. With the introduced system, we expect that …

Performance Evaluation Of Data Dissemination Protocols For Connected Autonomous Vehicles, Fehda Malik Malik, Hasan Ali Khattak, Ahmad Almogren, Ouns Bouachir, Ikram Ud Din, Aymen Altameem

All Works

© 2013 IEEE. An overwhelmed number of vehicles has wrecked the current system of transportation due to rapid growth in population. Smart cities are the novel innovation that is inevitable to curb the problems of traffic jams, unorganized traffic, environmental pollution, and slow response rate to emergency situations. The intelligent transportation system (ITS) is an integral part of smart cities allowing communications and interaction among vehicles. An autonomous vehicle is the key element of ITS and the mass implementation of this emerging technology is the solution to traffic problems linked to the current transportation system. Autonomous vehicles lead to the …

Prevalence Of Overweight/Obesity, Anaemia And Their Associations Among Female University Students In Dubai, United Arab Emirates: A Cross-Sectional Study, Haleama Al Sabbah

All Works

© The Author(s), 2020. Published by Cambridge University Press on behalf of The Nutrition Society. The present study assessed the associations of overweight, obesity and anaemia with selected lifestyle factors, total body fat and abdominal obesity among female university students in Dubai. A total of 251 female students from a national university in Dubai participated in the present study. Weight, height, waist circumference, Hb level and total body fat percentage were measured. Participants also completed a self-reported questionnaire that included items related to the factors of obesity, anaemia and lifestyle. The study was approved by the University Ethical Committee. Almost …

Security Techniques For Intelligent Spam Sensing And Anomaly Detection In Online Social Platforms, Monther Aldwairi, Lo'ai Tawalbeh

All Works

Copyright © 2020 Institute of Advanced Engineering and Science. All rights reserved. The recent advances in communication and mobile technologies made it easier to access and share information for most people worldwide. Among the most powerful information spreading platforms are the Online Social Networks (OSN)s that allow Internet-connected users to share different information such as instant messages, tweets, photos, and videos. Adding to that many governmental and private institutions use the OSNs such as Twitter for official announcements. Consequently, there is a tremendous need to provide the required level of security for OSN users. However, there are many challenges due …

Systematic Classification Of Attackers Via Bounded Model Checking, Eric Rothstein-Morris, Jun Sun, Sudipta Chattopadyay

Research Collection School Of Computing and Information Systems

In this work, we study the problem of verification of systems in the presence of attackers using bounded model checking. Given a system and a set of security requirements, we present a methodology to generate and classify attackers, mapping them to the set of requirements that they can break. A naive approach suffers from the same shortcomings of any large model checking problem, i.e., memory shortage and exponential time. To cope with these shortcomings, we describe two sound heuristics based on cone-of-influence reduction and on learning, which we demonstrate empirically by applying our methodology to a set of hardware benchmark …

Evaluating Information Flow In Medication Management Process In Australian Acute Care Facilities: A Multi-Professional Perspective, Seyi Lagoke

Theses

Over the years, various interventions have been introduced to improve the medication management process. While these interventions have addressed some aspects predisposing the process to inefficiencies, significant gaps are still prevalent across the process. Studies have suggested that the goal of optimal medication therapy is achievable when information flow integrates across the various medication management process phases, stakeholders and departments involved as the patient moves through the process. To provide a cross-sectional view of the process, this study utilised a systemic philosophy to evaluate the information flow integration across the process.

The research approach adopted for this study takes a …

A Survey Of Spatial Crowdsourcing, Yongxin Tong, Zimu Zhou, Yuxiang Zeng, Lei Chen, Cyrus Shahabi

Research Collection School Of Computing and Information Systems

Crowdsourcing is a computing paradigm where humans are actively involved in a computing task, especially for tasks that are intrinsically easier for humans than for computers. Spatial crowdsourcing (SC) is an increasing popular category of crowdsourcing in the era of mobile Internet and sharing economy, where tasks are spatiotemporal and must be completed at a specific location and time. In fact, spatial crowdsourcing has stimulated a series of recent industrial successes including sharing economy for urban services (Uber and Gigwalk) and spatiotemporal data collection (OpenStreetMap and Waze). This survey dives deep into the challenges and techniques brought by the unique …

Scalable, Adaptable And Fast Estimation Of Transient Downtime In Virtual Infrastructures Using Convex Decomposition And Sample Path Randomization, Zhiling Guo, Jin Li, Ram Ramesh

Research Collection School Of Computing and Information Systems

Network function virtualization enables efficient cloud-resource planning by virtualizing network services and applications into software running on commodity servers. A cloud-service provider needs to manage and ensure service availability of a network of concurrent virtualized network functions (VNFs). The downtime distribution of a network of VNFs can be estimated using sample-path randomization on the underlying birth–death process. An integrated modeling approach for this purpose is limited by its scalability and computational load because of the high dimensionality of the integrated birth–death process. We propose a generalized convex decomposition of the integrated birth-death process, which transforms the high-dimensional multi-VNF process into …

Spatial Multi-Objective Land Use Optimization Toward Livability Based On Boundary-Based Genetic Algorithm: A Case Study In Singapore, Kai Cao, Muyang Liu, Shu Wang, Mengqi Liu, Wenting Zhang, Qiang Meng, Bo Huang

Research Collection School Of Computing and Information Systems

In this research, the concept of livability has been quantitatively and comprehensively reviewed and interpreted to contribute to spatial multi-objective land use optimization modelling. In addition, a multi-objective land use optimization model was constructed using goal programming and a weighted-sum approach, followed by a boundary-based genetic algorithm adapted to help address the spatial multi-objective land use optimization problem. Furthermore, the model is successfully and effectively applied to the case study in the Central Region of Queenstown Planning Area of Singapore towards livability. In the case study, the experiments based on equal weights and experiments based on different weights combination have …

An Exact Single-Agent Task Selection Algorithm For The Crowdsourced Logistics, Chung-Kyun Han, Shih-Fen Cheng

Research Collection School Of Computing and Information Systems

The trend of moving online in the retail industry has created great pressure for the logistics industry to catch up both in terms of volume and response time. On one hand, volume is fluctuating at greater magnitude, making peaks higher; on the other hand, customers are also expecting shorter response time. As a result, logistics service providers are pressured to expand and keep up with the demands. Expanding fleet capacity, however, is not sustainable as capacity built for the peak seasons would be mostly vacant during ordinary days. One promising solution is to engage crowdsourced workers, who are not employed …

Agricultural Imports, Agriculture Productivity And Economic Growth In Sub-Saharan Africa:, Esther N. Mwangi, Fuzhong Chen, Daniel M. Njoroge

Journal of African Trade

No abstract provided.

Regional Integration And Growth Spillovers: Is Africa An Economic Space?:, Abdoulaye Seck, Founty Alassane Fall, Khadidiatou Aidara

Journal of African Trade

No abstract provided.

Debating Yoga And Mindfulness In Public Schools: Reforming Secular Education Or Reestablishing Religion? (Book Review), Kathleen Van Tol

Faculty Work Comprehensive List

Reviewed Title: Debating Yoga and Mindfulness in Public Schools: Reforming Secular Education or Reestablishing Religion? by Candy Gunther Brown. Chapel Hill: The University of North Carolina Press, 2019. 441 pp. ISBN: 9781469648477.

Beyond Equilibrium Temperature: How The Atmosphere/Interior Connection Affects The Onset Of Methane, Ammonia, And Clouds In Warm Transiting Giant Planets, Jonathan J. Fortney, Channon Visscher, Mark S. Marley, Callie E. Hood, Michael R. Line, Daniel P. Thorngren, Richard S. Freedman, Roxana Lupu

Faculty Work Comprehensive List

The atmospheric pressure–temperature profiles for transiting giant planets cross a range of chemical transitions. Here we show that the particular shapes of these irradiated profiles for warm giant planets below ∼1300 K lead to striking differences in the behavior of nonequilibrium chemistry compared to brown dwarfs of similar temperatures. Our particular focus is H2O, CO, CH4, CO2, and NH3 in Jupiter- and Neptune-class planets. We show that the cooling history of a planet, which depends most significantly on planetary mass and age, can have a dominant effect on abundances in the visible atmosphere, often swamping trends one might expect based …

Witchcraft Accusations: A Challenge For Families, Communities, And Churches In Africa, Boubakar Sanou

Faculty Publications

No abstract provided.

Humans Of St. Norbert: Nic Greenlaw ’21, Nic Greenlaw

Humans of St. Norbert

Based on the phenomenon "Humans of New York," Humans of St. Norbert mirrors the photoblog, featuring photos and interviews of people on campus.

Humans Of St. Norbert: Leah Zimmer ’22, Leah Zimmer

Humans of St. Norbert

Based on the phenomenon "Humans of New York," Humans of St. Norbert mirrors the photoblog, featuring photos and interviews of people on campus.

Humans Of St. Norbert: Kyra Kronberg ’20, Kyra Kronberg

Humans of St. Norbert

Based on the phenomenon "Humans of New York," Humans of St. Norbert mirrors the photoblog, featuring photos and interviews of people on campus.

Humans Of St. Norbert: Kiley Graff ’24, Kiley Graff

Humans of St. Norbert

Based on the phenomenon "Humans of New York," Humans of St. Norbert mirrors the photoblog, featuring photos and interviews of people on campus.

Humans Of St. Norbert: Hannah O’Brien, Hannah O'Brien

Humans of St. Norbert

Based on the phenomenon "Humans of New York," Humans of St. Norbert mirrors the photoblog, featuring photos and interviews of people on campus.

Humans Of St. Norbert: Cassie Nooyen ’22, Cassie Nooyen

Humans of St. Norbert

Based on the phenomenon "Humans of New York," Humans of St. Norbert mirrors the photoblog, featuring photos and interviews of people on campus.

How Propaganda Became Public Relations: Foucault And The Corporate Government Of The Public, Cory Wimberly

Philosophy Faculty Publications

How Propaganda Became Public Relations pulls back the curtain on propaganda: how it was born, how it works, and how it has masked the bulk of its operations by rebranding itself as public relations. Cory Wimberly uses archival materials and wide variety of sources — Foucault’s work on governmentality, political economy, liberalism, mass psychology, and history — to mount a genealogical challenge to two commonplaces about propaganda. First, modern propaganda did not originate in the state and was never primarily located in the state; instead, it began and flourished as a for-profit service for businesses. Further, propaganda is not focused …