Governors State University
Biola University
California State University, San Bernardino
Bryant University
University of the Philippines Los Baños
Walden University
How Technology May Be Used For Future Disease Predictions,
2023
Governors State University
How Technology May Be Used For Future Disease Predictions, Rich P. Manprisio
Journal of Applied Disciplines
Exasperated by the ongoing global pandemic, the healthcare system is grappling with the formidable challenges posed by proper and effective disease treatments. Nevertheless, amidst these growing difficulties, the healthcare field has witnessed significant technological advancements, offering promising avenues for disease prediction. Notably, a positive correlation exists between the utilization of technologies and their potential to serve as valuable tools for disease prediction. As our reliance on technological sophistication continues progressing, current research highlights numerous viable options to augment the healthcare sector. This review explores the current state of utilizing technologies and their potential to enhance healthcare, shedding light on their …
A Data-Driven Approach For Scheduling Bus Services Subject To Demand Constraints,
2023
Singapore Management University
A Data-Driven Approach For Scheduling Bus Services Subject To Demand Constraints, Brahmanage Janaka Chathuranga Thilakarathna, Thivya Kandappu, Baihua Zheng
Research Collection School Of Computing and Information Systems
Passenger satisfaction is extremely important for the success of a public transportation system. Many studies have shown that passenger satisfaction strongly depends on the time they have to wait at the bus stop (waiting time) to get on a bus. To be specific, user satisfaction drops faster as the waiting time increases. Therefore, service providers want to provide a bus to the waiting passengers within a threshold to keep them satisfied. It is a two-pronged problem: (a) to satisfy more passengers the transport planner may increase the frequency of the buses, and (b) in turn, the increased frequency may impact …
Robust And Parallel Segmentation Model (Rpsm) For Early Detection Of Skin Cancer Disease Using Heterogeneous Distributions,
2023
Department of Computer Sciences, Faculty of Science, Beirut Arab University, Lebanon
Robust And Parallel Segmentation Model (Rpsm) For Early Detection Of Skin Cancer Disease Using Heterogeneous Distributions, Nancy Zreika, Ali El-Zaart, Abdallah El Chakik
BAU Journal - Science and Technology
Melanoma is the most common dangerous type of skin cancer; however, it is preventable if it is diagnosed early. Diagnosis of Melanoma would be improved if an accurate skin image segmentation model is available. Many computer vision methods have been investigated, yet the problem of finding a consistent and robust model that extracts the best threshold value, persists. This paper suggests a novel image segmentation approach using a multilevel cross entropy thresholding algorithm based on heterogeneous distributions. The proposed strategy searches the problem space by segmenting the image into several levels, and applying for each level one of the three …
Development And Issues Of Biotech Seed Industry In China,
2023
National Science Library, Chinese Academy of Sciences, Beijing 100190, China
Development And Issues Of Biotech Seed Industry In China, Peijuan Chi, Hualing Xie, Ping Zhao, Fang Chen, Ning Wu, Zhixi Tian, Weicai Yang, Yanping Yang
Bulletin of Chinese Academy of Sciences (Chinese Version)
Biotech seed industry is a strategic core industry. Biotechnology combined with digital technology has promoted the seed industry into an intelligent era, and the breeding paradigm has changed from “experimental selection” to “computational selection”. Biotech seed industry has become a research and development intensive industry, and the market is highly concentrated, which is controlled by large multinational enterprises. The scientific and technological output of China and the United States is in the first echelon, and the number of papers and authorized patents ranks among the top two in the world. From the perspective of core competitiveness, the United States is …
Trend Observation: Analysis On Development Trend Of Precision Medicine,
2023
Chinese Academy of Sciences
Trend Observation: Analysis On Development Trend Of Precision Medicine
Bulletin of Chinese Academy of Sciences (Chinese Version)
No abstract provided.
Epl Card Reader Capstone: The Strengths Of Partner Programming From A Team Leader's Perspective,
2023
Portland State University
Epl Card Reader Capstone: The Strengths Of Partner Programming From A Team Leader's Perspective, Zach Yost
University Honors Theses
This essay looks to reflect back upon the successes and failures of the EPL Card Reader capstone project, sponsored by Edward Ivory, head of Portland State University's Electronics Prototyping Lab. The EPL Card Reader's goal is to provide a means of tracking and updating student activity and training on the various machines in the lab. Using a local computer port to host this web app a lab administrator or manager is able to scan a student's access badge to review which machines they have been trained on as well as update that training status. The app also has a running …
Non-Binary Evaluation Of Next-Basket Food Recommendation,
2023
Singapore Management University
Non-Binary Evaluation Of Next-Basket Food Recommendation, Yue Liu, Palakorn Achananuparp, Ee-Peng Lim
Research Collection School Of Computing and Information Systems
Next-basket recommendation (NBR) is a recommendation task that predicts a basket or a set of items a user is likely to adopt next based on his/her history of basket adoption sequences. It enables a wide range of novel applications and services from predicting next basket of items for grocery shopping to recommending food items a user is likely to consume together in the next meal. Even though much progress has been made in the algorithmic NBR research over the years, little research has been done to broaden knowledge about the evaluation of NBR methods, which is largely based on the …
Catching The Fast Payments Trend: Optimal Designs And Leadership Strategies Of Retail Payment And Settlement Systems,
2023
Singapore Management University
Catching The Fast Payments Trend: Optimal Designs And Leadership Strategies Of Retail Payment And Settlement Systems, Zhiling Guo, Dan Ma
Research Collection School Of Computing and Information Systems
Recent financial technologies have enabled fast payments and are reshaping retail payment and settlement systems globally. We developed an analytical model to study the optimal design of a new retail payment system in terms of settlement speed and system capability under both bank and fintech firm heterogeneous participation incentives. We found that three types of payment systems emerge as equilibrium outcomes: batch retail (BR), expedited retail (ER), and real-time retail (RR) payment systems. Although the base value of the payment service positively affects both settlement speed and system capability, the expected liquidity cost negatively impacts settlement speed, and total transaction …
Ldptrace: Locally Differentially Private Trajectory Synthesis,
2023
Singapore Management University
Ldptrace: Locally Differentially Private Trajectory Synthesis, Yuntao Du, Yujia Hu, Zhikun Zhang, Ziquan Fang, Lu Chen, Baihua Zheng, Yunjun Gao
Research Collection School Of Computing and Information Systems
Trajectory data has the potential to greatly benefit a wide-range of real-world applications, such as tracking the spread of the disease through people's movement patterns and providing personalized location-based services based on travel preference. However, privacy concerns and data protection regulations have limited the extent to which this data is shared and utilized. To overcome this challenge, local differential privacy provides a solution by allowing people to share a perturbed version of their data, ensuring privacy as only the data owners have access to the original information. Despite its potential, existing point-based perturbation mechanisms are not suitable for real-world scenarios …
Feature Selection From Clinical Surveys Using Semantic Textual Similarity,
2023
Washington University in St. Louis
Feature Selection From Clinical Surveys Using Semantic Textual Similarity, Benjamin Warner
McKelvey School of Engineering Theses & Dissertations
Survey data collected from human subjects can contain a high number of features while having a comparatively low quantity of examples. Machine learning models that attempt to predict outcomes from survey data under these conditions can overfit and result in poor generalizability. One remedy to this issue is feature selection, which attempts to select an optimal subset of features to learn upon. A relatively unexplored source of information in the feature selection process is the usage of textual names of features, which may be semantically indicative of which features are relevant to a target outcome. The relationships between feature names …
Cinema Trends And Viewer Preferences: An Analysis Of Movie Trends, Factors Leading To Box-Office Success, And Viewer Ratings,
2023
La Salle University
Cinema Trends And Viewer Preferences: An Analysis Of Movie Trends, Factors Leading To Box-Office Success, And Viewer Ratings, Brandon Crossland
Analytics Capstones
This research paper investigates the critical factors that impact the success and profitability of feature films in the entertainment industry. The study is divided into two primary parts. The first part aims to identify trends in cinema and predict box office earnings using advanced data analytics techniques. The second part examines user reviews to determine the key factors that influence film viewership. The objective is to provide valuable insights to cinema enthusiasts, film executives, and streaming platforms, helping them make informed decisions on film production and recommendations. The methods utilized include descriptive data visualizations in Excel and Python and predictive …
Understanding Data Mining And Its Relation To Information Systems,
2023
CUNY New York City College of Technology
Understanding Data Mining And Its Relation To Information Systems, Malak Alammari
Publications and Research
This research project aims to enrich an Open Educational Resource (OER) textbook on Introduction to Information Systems/Technology with a focus on data mining and its relation to hardware and software components of information systems. The study will address the following research questions: (1) What is data mining? and (2) How does data relate to the hardware and software components of information systems? To answer these questions, the researcher will conduct research to ascertain the current state of data mining and its relevance in the field of information systems/technology. The results of the research will be incorporated into an existing OER …
Blockchain Security: Double-Spending Attack And Prevention,
2023
Stephen F. Austin State University
Blockchain Security: Double-Spending Attack And Prevention, William Henry Scott Iii
Electronic Theses and Dissertations
This thesis shows that distributed consensus systems based on proof of work are vulnerable to hashrate-based double-spending attacks due to abuse of majority rule. Through building a private fork of Litecoin and executing a double-spending attack this thesis examines the mechanics and principles behind the attack. This thesis also conducts a survey of preventative measures used to deter double-spending attacks, concluding that a decentralized peer-to-peer network using proof of work is best protected by the addition of an observer system whether internal or external.
Areas Of Same Cardinal Direction,
2023
The University of Maine
Areas Of Same Cardinal Direction, Periyandy Thunendran
Electronic Theses and Dissertations
Cardinal directions, such as North, East, South, and West, are the foundation for qualitative spatial reasoning, a common field of GIS, Artificial Intelligence, and cognitive science. Such cardinal directions capture the relative spatial direction relation between a reference object and a target object, therefore, they are important search criteria in spatial databases. The projection-based model for such direction relations has been well investigated for point-like objects, yielding a relation algebra with strong inference power. The Direction Relation Matrix defines the simple region-to-region direction relations by approximating the reference object to a minimum bounding rectangle. Models that capture the direction between …
Hidden Stratagem - Microtargeting: The Future Of Conflict,
2023
United States Military Academy
Hidden Stratagem - Microtargeting: The Future Of Conflict, Jessica Dawson
ACI Books & Book Chapters
In September 2020, General Paul Nakasone, NSA Director and Commander of U.S. Cyber Command, called foreign influence operations “the next great disruptor.”[1] Nearly every intelligence agency in the United States government has been sounding the alarm over targeted influence operations enabled by social media companies since at least 2016, even though some of these operations started earlier. What often goes unstated and even less understood is the digital surveillance economy underlying these platforms and how this economic structure of trading free access for data collection about individuals’ lives poses a national security threat. Harvard sociologist Shoshana Zuboff calls this phenomenon …
Bluetooth Low Energy Indoor Positioning System,
2023
Whittier College
Bluetooth Low Energy Indoor Positioning System, Jackson T. Diamond, Jordan Hanson Dr
Whittier Scholars Program
Robust indoor positioning systems based on low energy bluetooth signals will service a wide range of applications. We present an example of a low energy bluetooth positioning system. First, the steps taken to locate the target with the bluetooth data will be reviewed. Next, we describe the algorithms of the set of android apps developed to utilize the bluetooth data for positioning. Similar to GPS, the algorithms use trilateration to approximate the target location by utilizing the corner devices running one of the apps. Due to the fluctuating nature of the bluetooth signal strength indicator (RSSI), we used an averaging …
A Study Of Various Data Sizes Using Machine Learning,
2023
California State University, San Bernardino
A Study Of Various Data Sizes Using Machine Learning, Sochaeta Koeum
Electronic Theses, Projects, and Dissertations
Social media is a great domain for news consumption; however, it is referred to as a double-edged sword. While it is user-friendly and low-cost, social media is the reason why fake news can spread rapidly, which is detrimental to society, businesses, and many consumers. Therefore, fake news detection is an emerging field. However, some challenges have restricted other researchers from developing a universal machine learning model that is fast, efficient, and reliable to stop the proliferation because of the lack of resources available, such as large-sized datasets. The goal of this culminating experience project is to explore how varying datasets …
Developing A Multi-Platform Application To Facilitate Internal Campus Hiring,
2023
University of Arkansas, Fayetteville
Developing A Multi-Platform Application To Facilitate Internal Campus Hiring, Carissa Patton
Computer Science and Computer Engineering Undergraduate Honors Theses
Undergraduate research has proven to be highly beneficial to students, yet there are many students who do not know how to get involved or who are too timid to approach professors to inquire about potential research opportunities. Our hypothesis is that a cross-platform application has the potential to bridge the gap and help more students get involved in undergraduate research by providing them information about open positions and the faculty or staff members who are mentoring the projects. The key focus of this thesis is to develop an application that provides details about participating faculty or staff including their research …
Rbac Attack Exposure Auditor. Tracking User Risk Exposure Per Role-Based Access Control Permissions,
2023
East Tennessee State University
Rbac Attack Exposure Auditor. Tracking User Risk Exposure Per Role-Based Access Control Permissions, Adelaide Damrau
Undergraduate Honors Theses
Access control models and implementation guidelines for determining, provisioning, and de-provisioning user permissions are challenging due to the differing approaches, unique for each organization, the lack of information provided by case studies concerning the organization’s security policies, and no standard means of implementation procedures or best practices. Although there are multiple access control models, one stands out, role-based access control (RBAC). RBAC simplifies maintenance by enabling administrators to group users with similar permissions. This approach to managing user permissions supports the principle of least privilege and separation of duties, which are needed to ensure an organization maintains acceptable user access …
Lessons Learned From The Hospital To Home Community Care Program In Singapore And The Supporting Ai Multiple Readmissions Prediction Model,
2023
Tan Tock Seng Hospital
Lessons Learned From The Hospital To Home Community Care Program In Singapore And The Supporting Ai Multiple Readmissions Prediction Model, John Abisheganaden, Kheng Hock Lee, Lian Leng Low, Eugene Shum, Han Leong Goh, Christine Gia Lee Ang, Adny An Ta Wee, Steven M. Miller
Research Collection School Of Computing and Information Systems
In a prior practice and policy article published in Healthcare Science, we introduced the deployed application of an artificial intelligence (AI) model to predict longer-term inpatient readmissions to guide community care interventions for patients with complex conditions in the context of Singapore's Hospital to Home (H2H) program that has been operating since 2017. In this follow on practice and policy article, we further elaborate on Singapore's H2H program and care model, and its supporting AI model for multiple readmission prediction, in the following ways: (1) by providing updates on the AI and supporting information systems, (2) by reporting on customer …
