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Proceeding Downloads
What Makes A Good Course and Professor: Through The Lens of RateMyProfessor Website
What makes a good professor? Do the courses a professor teach and their difficulty levels influence a professor’s overall evaluation? What topics do the students mostly care about when evaluating a professor and a course? What emotions are pervasive in ...
Development of a Server-based Construction Cost Data Collection System
The problem of unit price adequacy in the Korean construction industry has been around for a long time. There is only public unit price in Korean which is investigated and published by a few public institutions. The actual market price fluctuates ...
Preserving Users’ Sensitive Data in Physical and Virtual World Using Machine Learning: A Strategy
The impact of computing on society is intricate and far-reaching both physically and virtually. Computers have led to an increase in productivity since they have made a wide variety of operations simpler and more efficient. Specifically, Internet of ...
A Catalog of Public Glaucoma Datasets for Machine Learning Applications: A detailed description and analysis of public glaucoma datasets available to machine learning engineers tackling glaucoma-related problems using retinal fundus images and OCT images.
Glaucoma is a leading eye disease impacting millions of people. While the number of public glaucoma datasets are limited, those available are diverse in the population of patients, glaucoma subtypes, and other features. The complexity of disease datasets ...
The Trend and Path of Data Governance in University Library Informatization Construction: Taking the library of Wuhan university of Technology as an example
With the rapid development of information construction, the application system of in colleges and university departments has accumulated a large amount of data. How to effectively use the existing data resources to make it to provide support for ...
Applying BioBERT to Extract Germline Gene-Disease Associations for Building a Knowledge Graph from the Biomedical Literature
Published biomedical information has and continues to rapidly increase. The recent advancements in Natural Language Processing (NLP), have generated considerable interest in automating the extraction, normalization, and representation of biomedical ...
Construction of Oral Historical Collections Discovery and Service Platform Based on Digital Humanities
Oral historical collections have important historical and spiritual values. They have different recording standards, management modes, and preservation methods, possess the characteristics of heterogeneous resources across multiple fields like libraries, ...
Intelligent water quality monitoring using WSN and Machine Learning Approaches
In recent years, wireless sensor networks (WSN) have received considerable attention in environmental, industrial monitoring, and control applications. It is used to monitor, collect, maintain, and analyse environmental data from a remote place with the ...
Automatic IQ Estimation from Written text using Stylometry Methods
Stylometry is the process of making estimations or predictions (e.g. Gender, Language of Origin, true author) based on the analysis of writing styles. The task of quantifying a person's intelligence has been a goal of psychologists from before the ...
Predictive Health: Chronic Kidney Disease Case Study
Kidney failure is a silent chronic disease, without symptoms, and develops into an acute stage quickly. Unfortunately, the majority of patients discover this disease in its advanced stages where hemodialysis or transplant becomes a necessity. Predicting ...
Exploiting Topic Modelling for the Identification of Untapped Scientific Collaborations
Finding potential collaborators has become a challenge due to the growing number of scientists in organizations such as universities, research institutes, or companies. Collaboration Recommendation Systems (CRSs) have been developed to help researchers ...
Image processing approach provides robust feature extraction for classification with small sample sizes
- Alibek Zhakubayev,
- Thomas Andersen,
- Annie Vesterby,
- Lene Warner Thorup Boel,
- Kathleen Grant,
- Urszula Iwaniec,
- Russell Turner,
- Erich Baker,
- Mary Lauren Benton
Understanding the effects of chronic alcohol consumption on bone architecture is of great clinical importance due to its influence on skeletal health. Medical images contain valuable information for machine learning approaches to classify features ...
A Survey on Deep Learning-based Smart Assistive Aids for Visually Impaired Individuals
Visually impaired individuals face significant challenges in interacting with society. However, smart canes equipped with sensors and cameras provide a promising solution for safe navigation. AI-based assistive devices, including smart canes, utilize ...
Bibliographic Reference Classification in Historiographic Documents using Supervised Machine Learning and Grammatical Features
Bibliographic references in scholarly documents are integral to discourse in humanities disciplines. While prior work has focused on reference extraction and parsing from these documents, little research has investigated the classification of footnotes ...