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Articles 1651 - 1680 of 6912
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Image Spam Classification With Deep Neural Networks, Ajay Pal Singh, Katerina Potika
Image Spam Classification With Deep Neural Networks, Ajay Pal Singh, Katerina Potika
Faculty Publications, Computer Science
Image classification is a fundamental problem of computer vision and pattern recognition. We focus on images that contain spam. Spam is unwanted bulk content, and image spam is unwanted content embedded inside the images. Image spam potentially creates a threat to the credibility of any email-based communication system. While a lot of machine learning techniques are successful in detecting textual based spam, this is not the case for image spams, which can easily evade these textual-spam detection systems. In our work, we explore and evaluate four deep learning techniques that detect image spams. First, we train deep neural networks using …
Findfur: A Tool For Predicting Furin Cleavage Sites Of Viral Envelope Substrates, Christine Gu
Findfur: A Tool For Predicting Furin Cleavage Sites Of Viral Envelope Substrates, Christine Gu
Master's Projects
Most biologically active proteins of eukaryotic cells are initially synthesized in the secretory pathway as inactive precursors and require proteolytic processing to become functionally active. This process is performed by a specialized family of endogenous enzymes known as proproteases convertases (PCs). Within this family of proteases, the most notorious and well-research is furin. Found ubiquitously throughout the human body, typical furin substrates are cleaved at sites composed of paired basic amino acids, specifically at the consensus sequence, R-X-[K/R]-R↓. Furin is often exploited by many pathogens, such as enveloped viruses, for proteolytic processing and maturation of their proteins. Glycoproteins of enveloped …
Measuring And Assessing Research Productivity Of Physics Scientist Dr R. G. Sonkawade, Mallikarjun Kappi, Balabhim Sankrappa Biradar Professor, Chaman Sab M Dr
Measuring And Assessing Research Productivity Of Physics Scientist Dr R. G. Sonkawade, Mallikarjun Kappi, Balabhim Sankrappa Biradar Professor, Chaman Sab M Dr
Library Philosophy and Practice (e-journal)
Dr R. G. Sonkawade is an Indian professor, Department of Physics Shivaji University, Kolhapur and Advisor cum OSD to Minister, Higher and Technical Education, Govt. of Maharashtra. Former dean, Medical Physicist and Scientist, the authors studied characteristic features, pattern and citation impact of the well-known Indian scientist and professor’s scientific research works. At his 20 years of research publishing career, He had 191 publications during 1998 – 2019 in various domains and present study was analysed 90 research publications based on SCOPUS database. The study categorizes and presents the data according to year-wise contribution, authorship pattern, collaborators & degree of …
Malware Classification With Gaussian Mixture Model-Hidden Markov Models, Jing Zhao
Malware Classification With Gaussian Mixture Model-Hidden Markov Models, Jing Zhao
Master's Projects
Discrete hidden Markov models (HMM) are often applied to the malware detection and classification problems. However, the continuous analog of discrete HMMs, that is, Gaussian mixture model-HMMs (GMM-HMM), are rarely considered in the field of cybersecurity. In this study, we apply GMM-HMMs to the malware classification problem and we compare our results to those obtained using discrete HMMs. As features, we consider opcode sequences and entropy-based sequences. For our opcode features, GMM-HMMs produce results that are comparable to those obtained using discrete HMMs, whereas for our entropy-based features, GMM-HMMs generally improve on the classification results that we can attain with …
The Use Of Evidential Reasoning Model With Biomarkers In Pancreatic Cancer Prediction, Qianhui Fan
The Use Of Evidential Reasoning Model With Biomarkers In Pancreatic Cancer Prediction, Qianhui Fan
Master's Projects
In this project, an evidential reasoning model is built to amalgamate factors that could be used in early detection of pancreatic cancer. Our machine learning model outputs a probability of a given patient having prostate cancer based on various input variables. These variables include health history factors, such as smoking and medical history, technical artifacts, such as biopsy sequencing technology, and genomic biomarkers such as mutational, transcriptional and methylomic profiles, cfDNA, and copy number variation. The dataset used in this project is a part of The Cancer Genome Atlas (TCGA) project and was collected from the National Cancer Institute (NIH) …
An Assessment Of Research Trends On Fiscal Policy, Shabir Hussain Khahro, Shoail Farooq, Tauha Hussain Ali Dr, Nafees Ahmed Memon Dr, Qasim Hussain Khahro
An Assessment Of Research Trends On Fiscal Policy, Shabir Hussain Khahro, Shoail Farooq, Tauha Hussain Ali Dr, Nafees Ahmed Memon Dr, Qasim Hussain Khahro
Library Philosophy and Practice (e-journal)
Fiscal policy has been a topic of research interest for researchers. It plays a very important role in the economic growth of any country. Fiscal policy does not only achieve economic development, but eliminates the hindrances that assist economic stability. Based on the significance of the term. This paper evaluates the research output of the term fiscal policy since 1970 in different fields using the Scopus database. The data was collected from the Scopus database and were analyzed using Microsoft Excel to analyze the research trends on fiscal policy. It is concluded that fiscal policy has been a topic of …
Published Research Documents In Nuclear And High Energy Physics From 1996-2019: A Bibliometric Analysis Of Leading Countries In Comparison With India, Ishwar Dutt Sharma Dr
Published Research Documents In Nuclear And High Energy Physics From 1996-2019: A Bibliometric Analysis Of Leading Countries In Comparison With India, Ishwar Dutt Sharma Dr
Library Philosophy and Practice (e-journal)
A bibliometric analysis of scientific research production of the top five most productive countries in comparison with India in nuclear and high energy physics is presented during the period 1996-2019 using Scopus-linked SCImago electronic database. To validate the present study, some selected bibliometric indicators such as published documents, their citations and citations per document has been studied. In total, 769180 research documents were published worldwide in journal, conference proceedings and in book series. United States (16.47%), Germany(8.64%), Japan (6.65%), China (6.41%) and Russian Federation (5.89%) were the top most productive countries rankwise, whereas India ranked 10th with 21157 research …
A Scientometric Study On The Metrics Of Computer Society Transactions On Ieee, Manase Prabu, Senthil Kumar R
A Scientometric Study On The Metrics Of Computer Society Transactions On Ieee, Manase Prabu, Senthil Kumar R
Library Philosophy and Practice (e-journal)
ABSTRACT
This paper presents a Scientometric Study on “Metrics of Computer Society Transactions on IEEE” for the study period 2007-2016 (Ten Years). The following areas such as the year-wise distribution of contribution, impact factor of the journals, year of inception of the journals, periodicity of the journals, citation analysis, collaboration of countries for research, funding agencies, the collaboration of organizations by country wise and area of research concentration have been analyzed. 30 journals have been identified for the study of Computer Society Transactions on IEEE. These journals have been identified based on various quality parameters such as impact factor, citations, …
Visualization Of Large Networks Using Recursive Community Detection, Xinyuan Fan
Visualization Of Large Networks Using Recursive Community Detection, Xinyuan Fan
Master's Projects
Networks show relationships between people or things. For instance, a person has a social network of friends, and websites are connected through a network of hyperlinks. Networks are most commonly represented as graphs, so graph drawing becomes significant for network visualization. An effective graph drawing can quickly reveal connections and patterns within a network that would be difficult to discern without visual aid. But graph drawing becomes a challenge for large networks. Am- biguous edge crossings are inevitable in large networks with numerous nodes and edges, and large graphs often become a complicated tangle of lines. These issues greatly reduce …
Bioinformatics Metadata Extraction For Machine Learning Analysis, Zachary Tom
Bioinformatics Metadata Extraction For Machine Learning Analysis, Zachary Tom
Master's Projects
Next generation sequencing (NGS) has revolutionized the biological sciences. Today, entire genomes can be rapidly sequenced, enabling advancements in personalized medicine, genetic diseases, and more. The National Center for Biotechnology Information (NCBI) hosts the Sequence Read Archive (SRA) containing vast amounts of valuable NGS data. Recently, research has shown that sequencing errors in conventional NGS workflows are key confounding factors for detecting mutations. Various steps such as sample handling and library preparation can introduce artifacts that affect the accuracy of calling rare mutations. Thus, there is a need for more insight into the exact relationship between various steps of the …
Quantifying Deepfake Detection Accuracy For A Variety Of Natural Settings, Pratikkumar Prajapati
Quantifying Deepfake Detection Accuracy For A Variety Of Natural Settings, Pratikkumar Prajapati
Master's Projects
Deep fakes are videos generated from a starting video of a person where that person's face has been swapped for someone else's. In this report, we describe our work to develop general, deep learning-based models to classify Deep Fake content. Our first experiments involved simple Convolution Neural Network (CNN)-based models where we varied how individual frames from the source video were passed to the CNN. These simple models tended to give low accuracy scores for discriminating fake versus non-fake videos of less than 60%. We then developed three more sophisticated models: one based on choosing test frames, one based on …
Malware Classification Using Lstms, Dennis Dang
Malware Classification Using Lstms, Dennis Dang
Master's Projects
Signature and anomaly based detection have long been quintessential techniques used in malware detection. However, these techniques have become increasingly ineffective as malware becomes more complex. Researchers have therefore turned to deep learning to construct better performing models. In this project, we create four different long-short term memory (LSTM) models and train each model to classify malware by family type. Our data consists of opcodes extracted from malware executables. We employ techniques used in natural language processing (NLP) such as word embedding and bidirection LSTMs (biLSTM). We also use convolutional neural networks (CNN). We found that our model consisting of …
Scholarly Communications In Knowledge Economy By A Premier Indian Chemical Sciences R&D Laboratory - Csir-Ncl : A Scientometric Evaluation, Gati Krushna Nayak, Sudam Charan Sahu, Vaishali S. Khaparde, Sudeshna Tripathi
Scholarly Communications In Knowledge Economy By A Premier Indian Chemical Sciences R&D Laboratory - Csir-Ncl : A Scientometric Evaluation, Gati Krushna Nayak, Sudam Charan Sahu, Vaishali S. Khaparde, Sudeshna Tripathi
Library Philosophy and Practice (e-journal)
This paper made an attempt to analyze publications of CSIR-NCL, Pune a reputed world class 70 years renowned Chemistry & Chemical Engineering R&D Laboratory during the last 10 years w.e.f. 2010-2019 as reflected in SCOPUS multidisciplinary international database. The total number of 5372 research publications have been downloaded and analyzed according to the objectives. This paper gives a complete view of the evaluation of research outcomes of the CSIR-NCL, Pune the productive and influential in innovative research. This paper vigorously tries to give a complete view of the evaluation of research outcomes of the CSIR-NCL, Pune in India that ought …
Rg Score Of Science Academics: An Ideal Tool To Measure The Research Productivity, Vinay R S, Sampath Kumar B T, Shiva Kumara S U
Rg Score Of Science Academics: An Ideal Tool To Measure The Research Productivity, Vinay R S, Sampath Kumar B T, Shiva Kumara S U
Library Philosophy and Practice (e-journal)
Purpose: The purpose of this paper is to know the scholarly visibility of science faculty members of Karnataka state universities as reflected in ResearchGate.
Methodology: The list of faculty members working in various universities of Karnataka State was collected from websites of respective universities. The data related to Publications, Reads, Citations, h-index, RG Score, of each faculty members were extracted from ResearchGate profile pages of the faculty members.
Findings: The study revealed that 61.17% of science faculty members have created the RG profile. Among the academics, University of Mysore science faculty members have more citations (23821) and RG score (1016.78). …
Social Inclusion-Based Library Transformation: A National Library Of Indonesia’S Role To Support Sustainable Development Goals (Sdgs), Reza Mahdi, Muakibatul Hasanah, Andi Asari
Social Inclusion-Based Library Transformation: A National Library Of Indonesia’S Role To Support Sustainable Development Goals (Sdgs), Reza Mahdi, Muakibatul Hasanah, Andi Asari
Library Philosophy and Practice (e-journal)
Since 2015, all countries that are members of the United Nations have participated in one of the programs to support human and environmental benefit, Sustainable Development Goals (SDGs). Indonesia as a member of the United Nations supports the course of the program with the release of Presidential Regulation No. 59 year 2017 in which all institutions and ministers follow tpb in accordance with their respective basic duties. The National Library of Indonesia is one of the institutions affected by the regulation. As a building library and network between libraries in accordance with Law No. 43 year 2007 on Libraries, Perpusnas …
Citation Analysis Of Doctoral Theses In Library And Information Science Submitted To Manipur University During 1989-2017, Jaba Moni Das, Dr. Dipen Deka Assistant Professor
Citation Analysis Of Doctoral Theses In Library And Information Science Submitted To Manipur University During 1989-2017, Jaba Moni Das, Dr. Dipen Deka Assistant Professor
Library Philosophy and Practice (e-journal)
Abstract
The present study applies the citation analysis method to analyze Library and Information Science (LIS) doctoral theses submitted to Manipur University during 1989-2017. A total of 2,725 citations appended to 27 LIS doctoral theses examined for bibliographic forms, authorship pattern, and their collaboration level, chronological-wise distribution, the applicability of Bradford's law, rank-wise list, core journal list, country-wise list. The study finds that journals are the most cited resources, followed by books. Single-authored works are found dominant in both journal and book citations. The country-wise distribution of journals reveals that 412 citations (38.52%) were from India, followed by the UK …
A Citation Analysis Of Chemistry Publications By Faculty Members And Research Scholars At University Of Mysore And Karnatak University, Kodandarama ., Chandrashekara M
A Citation Analysis Of Chemistry Publications By Faculty Members And Research Scholars At University Of Mysore And Karnatak University, Kodandarama ., Chandrashekara M
Library Philosophy and Practice (e-journal)
Purpose-The study aims to analyse the resources used in the citations of 1355 research publications of University of Mysore and Karnatak University in the field of chemistry and prepares the core journal list and prolific authors. For any research and academic institutional libraries, books and journals are considered as key resources. As the resources are more and diverse, collection building is a tough task for librarians. Citation analysis is one of the best methods to list the most used resources by the users. Hence, the paper highlights the extent of use of different sources in the research publications of chemistry. …
Author Productivity And The Application Of Lotka's Law In The Field Of Horticulture, Santosh Kumar Tunga
Author Productivity And The Application Of Lotka's Law In The Field Of Horticulture, Santosh Kumar Tunga
Library Philosophy and Practice (e-journal)
Citation study of 10,845 citations appended to 80 doctoral dissertations in the field of horticulture awarded by Bidhan Chandra Krishi Viswavidyalaya (BCKV), Mohanpur and Uttar Banga Krishi Viswavidyalaya (UBKV), Cooch Bihar, West Bengal has been carried out to determine the authorship pattern and productivity to cited articles during 1991-2010. The study revealed that researchers are mainly used journal articles 8437 (77.796%). Generally Loka’s law describes the frequency of publications by authors in a given subject/ discipline. In this paper, an attempt has been made to study the applicability of the Lotka’s law to the publications of horticulture scientists in BCKV …
Library Usage By Faculty Members Of Benguet State University, Noel W. Cabfilan, Marjorie C. Ricardo
Library Usage By Faculty Members Of Benguet State University, Noel W. Cabfilan, Marjorie C. Ricardo
Library Philosophy and Practice (e-journal)
The study's objectives were to determine Benguet State University faculty members' general impression of the library resources and their usage of these resources. To answer these objectives, questions on faculty members' satisfaction with the library resources, frequency of usage, purposes of using the library resources, reasons for not using the library resources, reasons of not being able to find the resources they are looking for in the library and suggestions for library development in terms of library resources were asked.
It was found out that the majority of the faculty members have used the library resources at least once-a-term. On …
How Live Streaming And Twitch Have Changed The Gaming Industry, Krystal Ruiz
How Live Streaming And Twitch Have Changed The Gaming Industry, Krystal Ruiz
ART 108: Introduction to Games Studies
Live streaming in itself has become a booming industry in which its content consists of “streamers” who live broadcast numerous events and real-time interactions while simultaneously chatting with viewers drawing huge and increasing numbers (Adamovich). Twitch has especially excelled at garnering attention as one of the most popular live streaming platforms that focuses on broadcasting and viewing video game content (Adamovich). Twitch has grown rapidly within the last few years asserting its dominance as one of the major forces in the games industry and becoming a multi-billion-dollar industry (Adamovich). For example, according to Descrier, in 2016 there were approximately 292 …
Knowledge Mapping Of Alzheimer’S Disease Research: A Scientometric Analysis, Mamatha V, Dr Keshava
Knowledge Mapping Of Alzheimer’S Disease Research: A Scientometric Analysis, Mamatha V, Dr Keshava
Library Philosophy and Practice (e-journal)
The paper explores the growth pattern of Alzheimer’s disease literature, published during 2014-2018. The data has been retrieved from the Web of Science database by using the keyword ‘Alzheimer’s Disease’. The downloaded articles were classified chronologically and transferred to a spreadsheet for the analysis as per the objectives of the study. The study results revealed that a total of 38936 publications were found out of which maximum publications (8355) were found in the year 2018 and the minimum 7192 publications were found in the year 2014. Mean relative growth rate of Alzheimer’s disease literature has shown exponential trend. Data set …
The Impact Of Shigeru Miyamoto On The Game Design Industry, Luan Tran
The Impact Of Shigeru Miyamoto On The Game Design Industry, Luan Tran
ART 108: Introduction to Games Studies
Nintendo started as a small company in the 1970s that sold playing cards. Having seen the exemplary gift in his son, Miyamoto's father arranged for an interview with the president of Nintendo Hiroshi Yamauchi. Consequently, Miyamoto got a position in 1977 as an apprentice in the planning department after showing his toy creations to the president. He became the first Nintendo artist as he helped create the art for the first original coin-operated arcade game. The approach demonstrated his innate abilities that would help him become the ultimate guru in the industry. Through individual discovery, Miyamoto has managed to produce …
Crime Prediction With Historical Crime And Movement Data Of Potential Offenders Using A Spatio-Temporal Cokriging Method, Hongjie Yu, Lin Liu, Bo Yang, Minxuan Lan
Crime Prediction With Historical Crime And Movement Data Of Potential Offenders Using A Spatio-Temporal Cokriging Method, Hongjie Yu, Lin Liu, Bo Yang, Minxuan Lan
Faculty Research, Scholarly, and Creative Activity
Crime prediction using machine learning and data fusion assimilation has become a hot topic. Most of the models rely on historical crime data and related environment variables. The activity of potential offenders affects the crime patterns, but the data with fine resolution have not been applied in the crime prediction. The goal of this study is to test the effect of the activity of potential offenders in the crime prediction by combining this data in the prediction models and assessing the prediction accuracies. This study uses the movement data of past offenders collected in routine police stop-and-question operations to infer …
Feedback Induced Magnetic Phases In Binary Bose-Einstein Condensates, Hilary M. Hurst, Shangjie Guo, I. B. Spielman
Feedback Induced Magnetic Phases In Binary Bose-Einstein Condensates, Hilary M. Hurst, Shangjie Guo, I. B. Spielman
Faculty Research, Scholarly, and Creative Activity
Weak measurement in tandem with real-time feedback control is a new route toward engineering novel non-equilibrium quantum matter. Here we develop a theoretical toolbox for quantum feedback control of multicomponent Bose-Einstein condensates (BECs) using backaction-limited weak measurements in conjunction with spatially resolved feedback. Feedback in the form of a single-particle potential can introduce effective interactions that enter into the stochastic equation governing system dynamics. The effective interactions are tunable and can be made analogous to Feshbach resonances -- spin-independent and spin-dependent -- but without changing atomic scattering parameters. Feedback cooling prevents runaway heating due to measurement backaction and we present …
Factors Affecting Computer Science Research Productivity And Impact In Nigeria: A Bibliometric Evidence, Azubuike Ezenwoke
Factors Affecting Computer Science Research Productivity And Impact In Nigeria: A Bibliometric Evidence, Azubuike Ezenwoke
Library Philosophy and Practice (e-journal)
Computer science is a burgeoning research field and has the potential to accelerate the rate of industrialisation and subsequently, economic development. Using bibliometric data obtained from Scopus, this study employed a 15-year bibliometric analysis to highlight Nigeria’s productivity and impact trends in the computer science research landscape. Our findings are summarised as follows: First, Nigeria’s computer science research contribution and citations are meager in comparison to the global output. Secondly, international collaboration is generally weak as most collaborations are national in scope. Third, Nigeria’s computer science-related research is published in low-quality outlets, as Scopus has discontinued the indexing of most …
Bibliometric Analysis Of The Literature In The Field Of Information Technology Relatedness, Ilham M, Anis Eliyana, Praptini Yulianti
Bibliometric Analysis Of The Literature In The Field Of Information Technology Relatedness, Ilham M, Anis Eliyana, Praptini Yulianti
Library Philosophy and Practice (e-journal)
This bibliometric describe Information Technology Relateness is defined as the use of information technology infrastructure and information technology management processes betweeWas this submission previously published in a journal? Bepress will automatically create an OpenURL for published articles. Learn more about OpenURLsn business units together. There is not much research on Information Technology Relateness by providing a big picture that is visualized from year to year. This study aims to map research in the field of Information Technology Relateness with data from all international research publications. This study performs a bibliometric method and analyzes research data using the Services Analyze …
The History Of Nintendo: The Company, Consoles And Games, Laurie Takeda
The History Of Nintendo: The Company, Consoles And Games, Laurie Takeda
ART 108: Introduction to Games Studies
From the start, Nintendo has evolved overall as a company; from a playing card manufacturer to developing a wide variety of video game consoles and video games that are played worldwide, they continue to research and expand upon what the company can offer.
Perceived Research Skills Of Graduating Library And Information Science (Lis) Undergraduates In A Nigerian University Of Education, Anuoluwa Feyikemi Awodoyin Dr., Niran Adetoro Prof, Precious Oke Miss
Perceived Research Skills Of Graduating Library And Information Science (Lis) Undergraduates In A Nigerian University Of Education, Anuoluwa Feyikemi Awodoyin Dr., Niran Adetoro Prof, Precious Oke Miss
Library Philosophy and Practice (e-journal)
Researchers in institutions of higher learning are required to conduct researches that will expand the frontiers of knowledge, drive innovation in industries, and the economy at large. Consequently, research has become an integral component of a university’s curriculum. However, there is an ‘assumption’ that undergraduates possess requisite research skills at the end of their training due to their exposure to research. To ascertain this, this study investigated the perceived research skills of graduating Library and Information Science (LIS) undergraduates in a Nigerian University of Education. The study is a survey of the ex post facto type. Total enumeration was used …
Prototypes As Identity Markers: The Double-Edged Role Of Prototypes In Multidisciplinary Innovation Teams, Clio Dosi, Elisa Mattarelli, Matteo Vignoli
Prototypes As Identity Markers: The Double-Edged Role Of Prototypes In Multidisciplinary Innovation Teams, Clio Dosi, Elisa Mattarelli, Matteo Vignoli
Faculty Research, Scholarly, and Creative Activity
Prototypes play a powerful role in facilitating the work of multidisciplinary innovation teams, but if not properly managed, they may inhibit innovation processes. This paper inquires into the tensions that exist around the use of prototypes in multidisciplinary teams. We studied the relationship between work identities (related to teams and subgroups within teams) and prototypes with a field study of a multidisciplinary team in an emergency department, in charge of redesigning the layout of the unit. Results show that different values of subgroup identities are reflected in the solutions devised by the team. These values become salient through the prototype; …
Changes In Performance And Bio-Mathematical Model Performance Predictions During 45 Days Of Sleep Restriction In A Simulated Space Mission, Erin E. Flynn-Evans, Crystal Kirkley, Millennia Young, Nicholas Bathurst, Kevin Gregory, Verena Vogelpohl, Albert End, Steven Hillenius, Yvonne Pecena, Jessica J. Marquez
Changes In Performance And Bio-Mathematical Model Performance Predictions During 45 Days Of Sleep Restriction In A Simulated Space Mission, Erin E. Flynn-Evans, Crystal Kirkley, Millennia Young, Nicholas Bathurst, Kevin Gregory, Verena Vogelpohl, Albert End, Steven Hillenius, Yvonne Pecena, Jessica J. Marquez
Faculty Research, Scholarly, and Creative Activity
Lunar habitation and exploration of space beyond low-Earth orbit will require small crews to live in isolation and confinement while maintaining a high level of performance with limited support from mission control. Astronauts only achieve approximately 6 h of sleep per night, but few studies have linked sleep deficiency in space to performance impairment. We studied crewmembers over 45 days during a simulated space mission that included 5 h of sleep opportunity on weekdays and 8 h of sleep on weekends to characterize changes in performance on the psychomotor vigilance task (PVT) and subjective fatigue ratings. We further evaluated how …