Digital Commons Network^™

Automated Medical Notes Labelling And Classification Using Machine Learning, Akhil Prabhakar Thota

Electronic Theses, Projects, and Dissertations

The amount of data generated in medical records, especially in a modern context, is growing significantly. As the amount of data grows, it is very useful to classify the data into relevant classes for further interventions. Different methods that are not automated are very time-consuming and require manual effort have been tried for this before.

Recently deep learning has been used for this task but due to the complexity of the dataset, specifically due to inter-class similarities in the dataset and specific terminology having different meanings in medical contexts has caused significant problems in having a definitive approach to medical …

An Exhaustive Review Of Neutrosophic Logic In Addressing Image Processing Issues, Samia Mandour

Neutrosophic Systems with Applications

Since the importance of images in our lives and the advancements in computer data gathering methods, anyone can collect a large number of images, but most of them cannot be processed manually. Image processing therefore becomes appealing since various types of data may be represented and processed digitally. Image processing has become the most popular processing method, employed in security camera films, healthcare images, images from remote sensors, and naturalistic image/videos because of fast computers and processors. In order to raise cognitive function and speed up decision-making, image processing is crucial to many information access systems. Since ambiguity now permeates …

Ai Assisted Workflows For Computational Electromagnetics And Antenna Design, Oameed Noakoasteen

Electrical and Computer Engineering ETDs

These days large volumes of data can be recorded and manipulated with relative ease. If valuable information can be extracted from them, these vast amounts of data can be a rich resource not just for the digital economy but also for scientific discovery and development of technology. When it comes to deriving valuable information from data, Machine Learning (ML) emerges as the key solution. To unlock the potential benefits of ML to science and technology, extensive research is needed to explore what algorithms are suitable and how they can be applied.

To shine light on various ways that ML can …

Exploring The Impact Of Training Datasets On Turkish Stance Detection, Muhammed Sai̇d Zengi̇n, Berk Utku Yeni̇sey, Mücahi̇d Kutlu

Turkish Journal of Electrical Engineering and Computer Sciences

Stance detection has garnered considerable attention from researchers due to its broad range of applications, including fact-checking and social computing. While state-of-the-art stance detection models are usually based on supervised machine learning methods, their effectiveness is heavily reliant on the quality of training data. This problem is more prevalent in stance detection task because the stance of a text is intimately tied to the target under consideration. While numerous datasets exist for stance detection, determining their suitability for a specific target can be challenging. In this work, we focus on Turkish stance detection and explore the impact of training data …

Intelligent Healthcare: Evaluation Potential Implications Of Metaverse In Healthcare Based On Mathematical Decision-Making Framework, Ibrahim Elhenawy, Sara Fawaz Al-Baker, Mona Mohamed

Neutrosophic Systems with Applications

The Metaverse has the ability to restructure and change the manner in which individuals connect with one another as well as the activities that they carry out on a daily basis. One definition of a Metaverse describes it as "a virtual, digital, and three-dimensional universe formed by the integration of various cutting-edge technologies and virtual places." In this piece, we will explore the potential applications of the Metaverse in the medical field. Our conversations on the notion of the Metaverse and the primary technologies that make it possible are both thought-provoking and in-depth. In this article, we study and analyze …

Screensafefuture: A Parent-Empathetic And Practical Mhealth Application For Toddlers' Brain Development Addressing Screen-Addiction Challenges, Nafisa Anjum

Master of Science in Information Technology Theses

The surging incidents of infants and toddlers screen addiction in the United States are becoming a pressing concern due to its detrimental and compound impact on cognitive development, mental health, and physical growth. To address this era's critical child health and human development problem, we propose an innovative mHealth application-- ScreenSafeFuture-- in this paper. ScreenSafeFuture provides practical and parent-friendly solutions that seamlessly fit into parents' busy lifestyles, also acknowledging the effectiveness and convenience of smartphones as a healthcare tool. Our offering includes essential features designed to enhance the experience between parents and their children under 3 years old. With an …

China Working Group: China, Space, And Strategy, Eisenhower Center For Space And Defense Studies

Space and Defense

Eisenhower Center for Space and Defense Studies School of Advanced Air and Space Studies, Air University Keystone, Colorado, June 2007

Chinese advances in its space program in recent years has led to a growing international interest in the implications of Chinese programs in the civil, military, and commercial space sectors. This workshop, sponsored by the United States (U.S.) Air Force Academy Eisenhower Center for Space and Defense Studies and the Air University School of Advanced Air and Space Studies, brought together a community of experts and policy-makers to discuss the implications of current and future Chinese space developments on space …

Strategic Communications With China About Space, Joan Johnson-Freese

Space and Defense

In 2006, I published an article entitled “Strategic Communication with China: What Message About Space?”1 The article pointed out that difficulties encountered in trying to convey its message regarding the Global War on Terror to a global audience had convinced the United States, or at least the Defense Science Board, that it needed to use strategic communications more effectively. From there I extrapolated, “If one believes that big problems are best tackled in small bites, ‘space’ perhaps offers an area where the United States can begin to understand and tackle some of the strategic communication issues it faces.”2 Communication mishaps …

Chinese Intentions In Space: A Historical Perspective For Future Cooperation, Gregory Kulacki

Space and Defense

The United States (U.S.) is opening a new dialogue with China on cooperation in space that includes human space flight. The announcement appeared in the Joint Statement issued by U.S. President Obama and Chinese President Hu in Beijing, China on 17 November 2009. The two leaders also agreed “the two countries have common interests in promoting the peaceful use of outer space and agree to take steps to enhance security in outer space.”1 These are significant shifts in U.S. civilian and military space policy. The U.S. ended cooperation in space with China more than a decade ago2 and consistently refused …

An Ontology Design Pattern For Representing Causality, Utkarshani Jaimini, Cory Henson, Amit Sheth

Publications

The causal pattern is a proposed ontology design pattern for representing the structure of causal relations in a knowledge graph. This pattern is grounded in the concepts defined and used by the CausalAI community i.e., Causal Bayesian Networks and do-calculus. Specifically, the pattern models three primary concepts: (1) causal relations, (2) causal event roles, and (3) causal effect weights. Two use cases involving a sprinkler system and asthma patients are provided along with their relevant competency questions.

Advancing Airport Project Delivery: A Comparison Of Design-Build And Traditional Methods In Terms Of Schedule And Cost Performance, Ramy Khalef, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Current airport infrastructure is in a state of decline, with reports scoring it at an underperforming classification of D+. To address this issue, significant improvement and advancement of the infrastructure is needed. With backing on an authoritative level, the nation can expect an increase in the number of improvement projects. Airport stakeholders have long been accustomed to delivering their projects using traditional methods, such as design-bid-build (DBB). Design-build (DB) is an alternative delivery method that has added benefits for project metrics, such as schedule and cost performance. There is a lack of research evaluating DB within the context of airport …

Executive Order On The Safe, Secure, And Trustworthy Development And Use Of Artificial Intelligence, Joseph R. Biden

Copyright, Fair Use, Scholarly Communication, etc.

Section 1. Purpose. Artificial intelligence (AI) holds extraordinary potential for both promise and peril. Responsible AI use has the potential to help solve urgent challenges while making our world more prosperous, productive, innovative, and secure. At the same time, irresponsible use could exacerbate societal harms such as fraud, discrimination, bias, and disinformation; displace and disempower workers; stifle competition; and pose risks to national security. Harnessing AI for good and realizing its myriad benefits requires mitigating its substantial risks. This endeavor demands a society-wide effort that includes government, the private sector, academia, and civil society.

My Administration places the highest urgency …

A Fuzzy Group Decision-Making-Based Method For Green Supplier Selection And Order Allocation, Lu Liu, Wenxin Li, Xiao Song, Bingli Sun, Guanghong Gong

Journal of System Simulation

Abstract: With the intensity of market competitiveness, the worsening of the global environment, and the improvement of public concern about environmental protection, the issue of green purchasing has received considerable attention. The vast majority of existing studies on green purchasing have concentrated on supplier selection with green criteria, so as to realize sustainable operations, whereas it is more feasible and economical for businesses to obtain the proper products from adaptable and suitable suppliers at the right times, rates, and volumes, which is referred to as supplier selection and order allocation. To resolve the aforementioned two crucial challenges, we propose a …

12th International Conference On Business, Technology And Innovation 2023, University For Business And Technology - Ubt

UBT International Conference

Welcome to IC – UBT 2023

UBT Annual International Conference is the 12th international interdisciplinary peer reviewed conference which publishes works of the scientists as well as practitioners in the area where UBT is active in Education, Research and Development. The UBT aims to implement an integrated strategy to establish itself as an internationally competitive, research-intensive university, committed to the transfer of knowledge and the provision of a world-class education to the most talented students from all background. The main perspective of the conference is to connect the scientists and practitioners from different disciplines in the same place and make …

Exploring The Role Of Education In Addressing The Skills Gap For Seafarers In Bangladesh's Maritime Industry, Fatema Tuz Tahera

World Maritime University Dissertations

No abstract provided.

Similarity Measure Of Plithogenic Cubic Vague Sets: Examples And Possibilities, S. Anitha, A. Francina Shalini

Neutrosophic Systems with Applications

The crisp, fuzzy, intuitionistic fuzzy, and neutrosophic sets are the extension of the plithogenic set, in which elements are characterized by the number of attributes and each attribute can assume many values. To achieve more accuracy and precise exclusion, a contradiction or dissimilarity degree is specified between each attribute and the values of the dominating attribute. A plithogenic cubic vague set is a combination of a plithogenic cubic set and a vague set. The key tool for resolving problems with pattern recognition and clustering analysis is the similarity measure. In this research, we characterize and investigate the similarities between two …

The Impact Of Enterprise Resource Planning (Erp) Implementation On Performance Of Firms: A Case To Support Production Process Improvement., Kareem A. El-Baz, Tawfik T. El-Midany, Magdy S. Ghattas, Mona A. Aboueleaz

Mansoura Engineering Journal

Competitive globalization and automated process management through a functional information platform that supports technologies such as enterprise resource planning (ERP) are critical to improving the performance of any business. Research studies show that a large number of (ERP) projects fail during implementation. Other studies have shown that the effectiveness of ERP implementation in improving production processes is modest or low, even for well-designed systems. This study takes an in-depth look at the critical success factors of ERP implementation that impact business success, and conducts a case study to analyze the results obtained and assess their impact on performance.

Ehf-Fndm: An Efficient Hybrid Features Fake News Detection Methodology On Social Media, Haidy Samir Fahim, Asmaa Mohamed Al-Saied, Ahmed Shaban Samra, Abeer Twakol Khalil

Mansoura Engineering Journal

People are increasingly using social media to consume and share news. The inherent benefits of social media over traditional news media include its low cost and ease of access. In addition, publishing a news article requires less content censorship on social media. The rapid spread of "fake news" on social media, that is, news that contains intentionally false information, has a significant negative impact on society. For instance, false information about the coronavirus disease "2019" has spread around the world like a virus. Therefore, developing effective methods to detect fake news early has great importance. In this paper, the (Efficient …

Engineering Students Emotional Intelligence And Neuro-Linguistics Programming (Nlp) As Developmental Tool, Ahlem Khefacha, Beatrix Séllei

Research Papers

This article investigates the strengths and weaknesses of engineering students' emotional intelligence (EI) and the possibility of using neurolinguistics programming (NLP) as a developmental tool. Students' emotional intelligence was assessed using the Bar-On Emotional Quotient Inventory (EQ-I) with 5 points Likert scale. Firstsemester engineering students were approached by part of a broader study at the Budapest University of Technology during 2018-2022. In the article, we describe the emotional intelligence profile of more than 3600 students in various fields of engineering. NLP professionals around the world filled out the second questionnaire. We got answers from 35 professionals based in Tunisia, Hungary, …

Exploring The Link Between Spatial And Communication Skills In Engineering Students, John William Lynch, Manjeera Vinnakota, Sheryl Sorby, Tj Murphy, Kelsey Shannon

Research Papers

Industry leaders rarely remark that the technical skills of engineering students are lacking; however, they frequently indicate that new engineers should be better prepared in communication skills, particularly written communication skills. In contrast, the visualization ability, or spatial skills, of engineering majors are typically excellent. Prior research has demonstrated that spatial ability is a significant predictor for graduating from STEM fields, particularly in engineering. This paper is part of a larger project that is exploring whether these two phenomena – poor written communication skills and well-developed spatial skills – are linked. In other words, is there a negative correlation between …

Teamwork Skills Development In Engineering Education: A Holistic Approach, Callum Kimpton, Nicoleta Maynard

Research Papers

Engineering is a profession grounded in teamwork with the need for engineering students and professionals to possess the ability to integrate their work efforts seamlessly and effectively towards a common goal. This in turn necessitates the need for a comprehensive, tailored, and relevant overarching conceptual framework to be constructed to ensure that our subsequent generations of engineers are equipped to efficiently tackle existential societal problems including anthropogenic climate change and the multi-faceted nature of sustainable development. This paper motivates, details, and presents a conceptual framework for implementing successful engineering teams in tertiary engineering projects. The emergent conceptual framework presented is …

Civil And Architectural Engineering Students’ Conceptualization Of Good Engineering And Its Implications For Ethics Education, Madeline Polmear

Research Papers

The ways in which students conceptualise what it means to do good engineering illuminates their values and priorities and shapes their understanding of ethics in engineering. The present study is part of a larger project that is exploring civil and architectural engineering students’ understanding of ethical and societal responsibility and its development via formal and informal learning. Data collection and analysis are ongoing in the larger project, and the present study focuses on eight semi-structured interviews with civil and architectural engineering students at one university in Belgium. The analysis was designed to address how civil and architectural students conceptualise good …

A Multimodal Measurement Of The Impact Of Deepfakes On The Ethical Reasoning And Affective Reactions Of Students, Vivek Ramachandran, Cécile Hardebolle, Nihat Kotluk, Touradj Ebrahimi, Reinhard Riedl, Patrick Jermann, Roland Tormey

Research Papers

Deepfakes - synthetic videos generated by machine learning models - are becoming increasingly sophisticated. While they have several positive use cases, their potential for harm is also high. Deepfake production involves input from multiple engineers, making it challenging to assign individual responsibility for their creation. The separation between engineers and consumers may also contribute to a lack of empathy on the part of the former towards the latter. At present, engineering ethics education appears inadequate to address these issues. Indeed, the ethics of artificial intelligence is often taught as a stand-alone course or a separate module at the end of …

Interconnectedness Of Geometric, Linguistic, And Algebraic Thinking In Student Performance Measures: An Association Rules Approach, Bence Sipos, Brigitta Szilágyi

Research Papers

Assessing student performance is crucial in education for evaluating knowledge acquisition and competency development. Traditional grading systems often overlook the interconnectedness of learning domains, which can provide valuable insights into student understanding. This study investigates the associations between geometric, linguistic, and algebraic thinking and their impact on student performance measures and grading using association rules. We analyzed a dataset comprising student responses to geometric, linguistic, and algebraic questions by applying association rule mining techniques. The extracted rules were used to evaluate question similarity, revealing deeper insights into student performance and problem-solving strategies. Our findings demonstrate significant interconnectedness between geometric, linguistic, …

Exploring Racialized Ideologies About Latino/A/X Engineering Students In The United States Southwest Region, Joel Alejandro Mejia

Research Papers

Although efforts in the United States (U.S.) to improve the participation and representation of minoritized populations in engineering have increased, there is a stagnant representation of Latinos/as/xs in engineering spaces. Given that a historical context of engineering education for Latinos/as/xs in the U.S. is limited in the engineering education research literature, this paper provides a description of the historical educational landscape of Latinos/as/xs in the U.S. Southwest region and connects that sociohistorical context to the current realities of Latinos/as/xs in the region through their testimonios. The U.S. Southwest is home to the largest Latino population in the U.S., who also …

A Positioning Theory Analysis Of Interaction Surrounding Design Failures In An Elementary Engineering Club, Katarina N. Silvestri, Mary B. Mcvee, Lynn E. Shanahan, Kenneth English

Journal of Pre-College Engineering Education Research (J-PEER)

This qualitative study applies Positioning Theory to identify positions that mediate the experiences of design failure within the context of an afterschool engineering club (EC) with elementary students diverse in language, race, ethnicity, gender, and academic abilities. We ask: (1) What kinds of structural design failure and failure responses did participants in EC experience? and (2) What are students’ and teachers’ positions in relation to responses to design failure? Types of positions (e.g., builder, tinkerer, idea-elicitor, director, observer) were identified in relation to children’s and teachers’ actions and speech in response to structural design failure during EC. Participants included 12 …

Trcaptionnet: A Novel And Accurate Deep Turkish Image Captioning Model With Vision Transformer Based Image Encoders And Deep Linguistic Text Decoders, Serdar Yildiz, Abbas Memi̇ş, Songül Varli

Turkish Journal of Electrical Engineering and Computer Sciences

Image captioning is known as a fundamental computer vision task aiming to figure out and describe what is happening in an image or image region. Through an image captioning process, it is ensured to describe and define the actions and the relations of the objects within the images. In this manner, the contents of the images can be understood and interpreted automatically by visual computing systems. In this paper, we proposed the TRCaptionNet a novel deep learning-based Turkish image captioning (TIC) model for the automatic generation of Turkish captions. The model we propose essentially consists of a basic image encoder, …

Infrared Imaging Segmentation Employing An Explainable Deep Neural Network, Xinfei Liao, Dan Wang, Zairan Li, Nilanjan Dey, Rs Simon, Fuqian Shi

Turkish Journal of Electrical Engineering and Computer Sciences

Explainable AI (XAI) improved by a deep neural network (DNN) of a residual neural network (ResNet) and long short-term memory networks (LSTMs), termed XAIRL, is proposed for segmenting foot infrared imaging datasets. First, an infrared sensor imaging dataset is acquired by a foot infrared sensor imaging device and preprocessed. The infrared sensor image features are then defined and extracted with XAIRL being applied to segment the dataset. This paper compares and discusses our results with XAIRL. Evaluation indices are applied to perform various measurements for foot infrared image segmentation including accuracy, precision, recall, F1 score, intersection over union (IoU), Dice …

Artificial Intelligence Applications For Social Science Research, Megan Stubbs-Richardson, Lauren Brown, Mackenzie Paul, Devon Brenner

SSRC Publications

Our team developed a database of 250 Artificial Intelligence (AI) applications useful for social science research. To be included in our database, the AI tool had to be useful for: 1) literature reviews, summaries, or writing, 2) data collection, analysis, or visualizations, or 3) research dissemination. In the database, we provide a name, description, and links to each of the AI tools that were current at the time of publication on September 29, 2023. Supporting links were provided when an AI tool was found using other databases. To help users evaluate the potential usefulness of each tool, we documented information …

Spoken Language Processing And Modeling For Aviation Communications, Aaron Van De Brook

Doctoral Dissertations and Master's Theses

With recent advances in machine learning and deep learning technologies and the creation of larger aviation-specific corpora, applying natural language processing technologies, especially those based on transformer neural networks, to aviation communications is becoming increasingly feasible. Previous work has focused on machine learning applications to natural language processing, such as N-grams and word lattices. This thesis experiments with a process for pretraining transformer-based language models on aviation English corpora and compare the effectiveness and performance of language models transfer learned from pretrained checkpoints and those trained from their base weight initializations (trained from scratch). The results suggest that transformer language …