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Articles 3031 - 3060 of 13646
Full-Text Articles in Physical Sciences and Mathematics
Administration On Meeting Low Sulphur Fuel Oil Requirements For Ships, Longyu Zuo
Administration On Meeting Low Sulphur Fuel Oil Requirements For Ships, Longyu Zuo
Maritime Safety & Environment Management Dissertations (Dalian)
No abstract provided.
Global Governance In Addressing Marine Plastic Pollution, Lei Zhang
Global Governance In Addressing Marine Plastic Pollution, Lei Zhang
Maritime Safety & Environment Management Dissertations (Dalian)
No abstract provided.
T12s, R2e, Blm Plat_321069_1 - July 19, 1867, Reflecting Elkhorn Slough As Tide Land Up To Portion Of Sec. 27 To Sec. 25 Shown As Swamp & Overflowed Land Survey
Township and Range Surveys - BLM
A July 19, 1867, survey or plat reflecting the Township, Range and Sections of T12S, R2E, located in Monterey County, California, USA
Product Innovation Design Based On Deep Learning And Kansei Engineering, Huafeng Quan, Shaobo Li, Jianjun Hu
Product Innovation Design Based On Deep Learning And Kansei Engineering, Huafeng Quan, Shaobo Li, Jianjun Hu
Faculty Publications
Creative product design is becoming critical to the success of many enterprises. However, the conventional product innovation process is hindered by two major challenges: the difficulty to capture users’ preferences and the lack of intuitive approaches to visually inspire the designer, which is especially true in fashion design and form design of many other types of products. In this paper, we propose to combine Kansei engineering and the deep learning for product innovation (KENPI) framework, which can transfer color, pattern, etc. of a style image in real time to a product’s shape automatically. To capture user preferences, we combine Kansei …
Overcoming Small Data Limitations In Heart Disease Prediction By Using Surrogate Data, Alfeo Sabay, Laurie Harris, Vivek Bejugama, Karen Jaceldo-Siegl
Overcoming Small Data Limitations In Heart Disease Prediction By Using Surrogate Data, Alfeo Sabay, Laurie Harris, Vivek Bejugama, Karen Jaceldo-Siegl
SMU Data Science Review
In this paper, we present a heart disease prediction use case showing how synthetic data can be used to address privacy concerns and overcome constraints inherent in small medical research data sets. While advanced machine learning algorithms, such as neural networks models, can be implemented to improve prediction accuracy, these require very large data sets which are often not available in medical or clinical research. We examine the use of surrogate data sets comprised of synthetic observations for modeling heart disease prediction. We generate surrogate data, based on the characteristics of original observations, and compare prediction accuracy results achieved from …
Fake News Detection: A Deep Learning Approach, Aswini Thota, Priyanka Tilak, Simrat Ahluwalia, Nibrat Lohia
Fake News Detection: A Deep Learning Approach, Aswini Thota, Priyanka Tilak, Simrat Ahluwalia, Nibrat Lohia
SMU Data Science Review
Fake news is defined as a made-up story with an intention to deceive or to mislead. In this paper we present the solution to the task of fake news detection by using Deep Learning architectures. Gartner research [1] predicts that “By 2022, most people in mature economies will consume more false information than true information”. The exponential increase in production and distribution of inaccurate news presents an immediate need for automatically tagging and detecting such twisted news articles. However, automated detection of fake news is a hard task to accomplish as it requires the model to understand nuances in natural …
Random Forest Vs Logistic Regression: Binary Classification For Heterogeneous Datasets, Kaitlin Kirasich, Trace Smith, Bivin Sadler
Random Forest Vs Logistic Regression: Binary Classification For Heterogeneous Datasets, Kaitlin Kirasich, Trace Smith, Bivin Sadler
SMU Data Science Review
Selecting a learning algorithm to implement for a particular application on the basis of performance still remains an ad-hoc process using fundamental benchmarks such as evaluating a classifier’s overall loss function and misclassification metrics. In this paper we address the difficulty of model selection by evaluating the overall classification performance between random forest and logistic regression for datasets comprised of various underlying structures: (1) increasing the variance in the explanatory and noise variables, (2) increasing the number of noise variables, (3) increasing the number of explanatory variables, (4) increasing the number of observations. We developed a model evaluation tool capable …
Predicting National Basketball Association Success: A Machine Learning Approach, Adarsh Kannan, Brian Kolovich, Brandon Lawrence, Sohail Rafiqi
Predicting National Basketball Association Success: A Machine Learning Approach, Adarsh Kannan, Brian Kolovich, Brandon Lawrence, Sohail Rafiqi
SMU Data Science Review
In this paper, we present a machine learning based approach to projecting the success of National Basketball Association (NBA) draft prospects. With the proliferation of data, analytics have increasingly be- come a critical component in the assessment of professional and collegiate basketball players. We leverage player biometric data, college statistics, draft selection order, and positional breakdown as modelling features in our prediction algorithms. We found that a player's draft pick and their college statistics are the best predictors of their longevity in the National Basketball Association.
Minimizing The Perceived Financial Burden Due To Cancer, Hassan Azhar, Zoheb Allam, Gino Varghese, Daniel W. Engels, Sajiny John
Minimizing The Perceived Financial Burden Due To Cancer, Hassan Azhar, Zoheb Allam, Gino Varghese, Daniel W. Engels, Sajiny John
SMU Data Science Review
In this paper, we present a regression model that predicts perceived financial burden that a cancer patient experiences in the treatment and management of the disease. Cancer patients do not fully understand the burden associated with the cost of cancer, and their lack of understanding can increase the difficulties associated with living with the disease, in particular coping with the cost. The relationship between demographic characteristics and financial burden were examined in order to better understand the characteristics of a cancer patient and their burden, while all subsets regression was used to determine the best predictors of financial burden. Age, …
Yelp’S Review Filtering Algorithm, Yao Yao, Ivelin Angelov, Jack Rasmus-Vorrath, Mooyoung Lee, Daniel W. Engels
Yelp’S Review Filtering Algorithm, Yao Yao, Ivelin Angelov, Jack Rasmus-Vorrath, Mooyoung Lee, Daniel W. Engels
SMU Data Science Review
In this paper, we present an analysis of features influencing Yelp's proprietary review filtering algorithm. Classifying or misclassifying reviews as recommended or non-recommended affects average ratings, consumer decisions, and ultimately, business revenue. Our analysis involves systematically sampling and scraping Yelp restaurant reviews. Features are extracted from review metadata and engineered from metrics and scores generated using text classifiers and sentiment analysis. The coefficients of a multivariate logistic regression model were interpreted as quantifications of the relative importance of features in classifying reviews as recommended or non-recommended. The model classified review recommendations with an accuracy of 78%. We found that reviews …
Cryptocurrency Price Prediction Using Tweet Volumes And Sentiment Analysis, Jethin Abraham, Daniel Higdon, John Nelson, Juan Ibarra
Cryptocurrency Price Prediction Using Tweet Volumes And Sentiment Analysis, Jethin Abraham, Daniel Higdon, John Nelson, Juan Ibarra
SMU Data Science Review
In this paper, we present a method for predicting changes in Bitcoin and Ethereum prices utilizing Twitter data and Google Trends data. Bitcoin and Ethereum, the two largest cryptocurrencies in terms of market capitalization represent over \$160 billion dollars in combined value. However, both Bitcoin and Ethereum have experienced significant price swings on both daily and long term valuations. Twitter is increasingly used as a news source influencing purchase decisions by informing users of the currency and its increasing popularity. As a result, quickly understanding the impact of tweets on price direction can provide a purchasing and selling advantage to …
Nitrogen-To-Oxygen Abundance Ratio Variation In Quiescent Galaxies, Renbin Yan
Nitrogen-To-Oxygen Abundance Ratio Variation In Quiescent Galaxies, Renbin Yan
Physics and Astronomy Faculty Publications
For the first time, we establish a gas-phase abundance pattern calibration for quiescent galaxies using optical emission lines. Quiescent galaxies have warm ionized gas showing line ratios similar to low-ionization nuclear emission line regions. The ionization mechanism for the gas is still an unsettled puzzle. Despite the uncertainty in the ionization mechanism, we argue that we can still infer certain gas-phase abundance pattern from first principles. We show that the relative trend in N/O abundance can still be reliably measured based on [N II] λλ6548,6583/[O II] λλ3726,3729 and a direct measurement of the electron temperature. We construct a composite direct …
A Linked Coptic Dictionary Online, Frank Feder, Maxim Kupreyev, Emma Manning, Caroline T. Schroeder, Amir Zeldes
A Linked Coptic Dictionary Online, Frank Feder, Maxim Kupreyev, Emma Manning, Caroline T. Schroeder, Amir Zeldes
College of the Pacific Faculty Presentations
We describe a new project publishing a freely available online dictionary for Coptic. The dictionary encompasses comprehensive cross-referencing mechanisms, including linking entries to an online scanned edition of Crum’s Coptic Dictionary, internal cross-references and etymological information, translated searchable definitions in English, French and German, and linked corpus data which provides frequencies and corpus look-up for headwords and multiword expressions. Headwords are available for linking in external projects using a REST API. We describe the challenges in encoding our dictionary using TEI XML and implementing linking mechanisms to construct a Web interface querying frequency information, which draw on NLP tools to …
Study On The Fluctuation And Forecasting Of Capsize Bulk Carrier’S Freight, Kelun Wei
Study On The Fluctuation And Forecasting Of Capsize Bulk Carrier’S Freight, Kelun Wei
World Maritime University Dissertations
No abstract provided.
T17s, R7e, Blm Plat_319852_1 - Nov. 22, 1882 Survey
T17s, R7e, Blm Plat_319852_1 - Nov. 22, 1882 Survey
Township and Range Surveys - BLM
A Nov. 22, 1882, survey or plat reflecting the Township, Range and Sections of T17S, R7E, located in Monterey County, California, USA
Analysis Of Shanghai Aviation Hub Logistics Competitiveness, Tuo Chen
Analysis Of Shanghai Aviation Hub Logistics Competitiveness, Tuo Chen
World Maritime University Dissertations
No abstract provided.
Comparative Study On Port Logistics Service Capability Of China’S Main Ports, Yiwen Song
Comparative Study On Port Logistics Service Capability Of China’S Main Ports, Yiwen Song
World Maritime University Dissertations
No abstract provided.
How To Reduce Cost And Increase Efficiency Of Shipping Enterprises In Developing Service Supply Chain, Junfeng Zhu
How To Reduce Cost And Increase Efficiency Of Shipping Enterprises In Developing Service Supply Chain, Junfeng Zhu
World Maritime University Dissertations
No abstract provided.
Study On The Efficiency Of China’S Main River Ports Based On Dea Model, Yunwu Cao
Study On The Efficiency Of China’S Main River Ports Based On Dea Model, Yunwu Cao
World Maritime University Dissertations
No abstract provided.
Horizontal Integration In The Port Industry In China Challenges And Outlook, Jiren Chen
Horizontal Integration In The Port Industry In China Challenges And Outlook, Jiren Chen
World Maritime University Dissertations
No abstract provided.
International Container Logistics Transshipment Service : Comparison Between Shanghai Port And Singapore Port, Tingyu Han
World Maritime University Dissertations
No abstract provided.
On Optimization Of Cold Chain Logistics Systems For Rokin Logistics Company, Huimin Luo
On Optimization Of Cold Chain Logistics Systems For Rokin Logistics Company, Huimin Luo
World Maritime University Dissertations
No abstract provided.
The Influence Of A Brexit On China’S Shipping Industry, Xiaoting Luo
The Influence Of A Brexit On China’S Shipping Industry, Xiaoting Luo
World Maritime University Dissertations
No abstract provided.
Optimization For Lng Terminals Routing In North China, Shuting Wang
Optimization For Lng Terminals Routing In North China, Shuting Wang
World Maritime University Dissertations
No abstract provided.
Exploring The Source Of Container Cargo And Passenger Flow : A Case Of Shanghai Port, Dong Xu
Exploring The Source Of Container Cargo And Passenger Flow : A Case Of Shanghai Port, Dong Xu
World Maritime University Dissertations
No abstract provided.
The Impact Of Wti And The Ordering Of Crude Tankers On Tanker Spot Freight Rate, Jiajia Xu
The Impact Of Wti And The Ordering Of Crude Tankers On Tanker Spot Freight Rate, Jiajia Xu
World Maritime University Dissertations
No abstract provided.
Diagnosis On Layout Of China’S Multimodal Demonstration Project, Jingyi Xu
Diagnosis On Layout Of China’S Multimodal Demonstration Project, Jingyi Xu
World Maritime University Dissertations
No abstract provided.
Research On The Route Optimization Of Huzhou Port’S Outbound Container, Bo Zhang
Research On The Route Optimization Of Huzhou Port’S Outbound Container, Bo Zhang
World Maritime University Dissertations
No abstract provided.
How Chinese Enterprises Evaluate The Investment Value Of Seaports Along The “One Belt One Road”, Ziyang Zhang
How Chinese Enterprises Evaluate The Investment Value Of Seaports Along The “One Belt One Road”, Ziyang Zhang
World Maritime University Dissertations
No abstract provided.
T14s, R6e, Blm Plat_319825_1 - Feb. 28, 1883, Amendment Returning Lot 4 Of Sec. 17 & Fractional E 1/2 Of N.E. To Sec. 20 As Swamp & Overflowed Land Survey
Township and Range Surveys - BLM
A Feb. 28, 1883, survey or plat reflecting the Township, Range and Sections of T14S, R6E, located in Monterey County, California, USA