Open Access. Powered by Scholars. Published by Universities.®
- Institution
-
- China Simulation Federation (3880)
- TÜBİTAK (3106)
- Wright State University (1960)
- Old Dominion University (944)
- Singapore Management University (885)
-
- Washington University in St. Louis (730)
- Embry-Riddle Aeronautical University (590)
- Air Force Institute of Technology (443)
- Missouri University of Science and Technology (440)
- Neutrosophic Systems with Applications (375)
- University of Nebraska - Lincoln (274)
- Chulalongkorn University (235)
- University of Central Florida (188)
- Portland State University (158)
- University of Nevada, Las Vegas (152)
- University of Arkansas, Fayetteville (150)
- University of South Carolina (125)
- Purdue University (118)
- Chapman University (114)
- University for Business and Technology in Kosovo (114)
- University of Kentucky (111)
- University of South Florida (104)
- Technological University Dublin (100)
- California Polytechnic State University, San Luis Obispo (79)
- University of Dar es Salaam (77)
- University of New Haven (77)
- New Jersey Institute of Technology (63)
- Michigan Technological University (61)
- University of Texas at El Paso (61)
- University of Malaya (56)
- Keyword
-
- Machine learning (393)
- Computer Science (351)
- Deep learning (302)
- Department of Computer Science and Engineering (285)
- Engineering (253)
-
- Simulation (216)
- Machine Learning (186)
- Artificial intelligence (171)
- Optimization (164)
- Technical writing (158)
- College of Engineering and Computer Science (157)
- Newsletters (157)
- Science news (157)
- Classification (130)
- Genetic algorithm (120)
- Cybersecurity (115)
- Security (108)
- Deep Learning (103)
- Computer vision (102)
- Reinforcement learning (102)
- Computer Engineering (101)
- Neural networks (100)
- Artificial Intelligence (92)
- Path planning (91)
- Particle swarm optimization (88)
- Algorithms (85)
- Clustering (79)
- Image processing (78)
- Robotics (78)
- Virtual reality (77)
- Publication Year
- Publication
-
- Journal of System Simulation (3880)
- Turkish Journal of Electrical Engineering and Computer Sciences (3106)
- Computer Science & Engineering Syllabi (1312)
- Research Collection School Of Computing and Information Systems (858)
- All Computer Science and Engineering Research (683)
-
- Theses and Dissertations (503)
- Neutrosophic Systems with Applications (375)
- Browse all Theses and Dissertations (308)
- Journal of Digital Forensics, Security and Law (300)
- Electrical and Computer Engineering Faculty Research & Creative Works (282)
- Electronic Theses and Dissertations (249)
- Chulalongkorn University Theses and Dissertations (Chula ETD) (235)
- Electrical & Computer Engineering Theses & Dissertations (219)
- Computer Science and Engineering Faculty Publications (184)
- Annual ADFSL Conference on Digital Forensics, Security and Law (174)
- BITs and PCs Newsletter (157)
- School of Computing: Dissertations, Theses, and Student Research (154)
- Faculty Publications (150)
- Electrical & Computer Engineering Faculty Publications (138)
- Dissertations (121)
- Computer Science Faculty Publications (108)
- USF Tampa Graduate Theses and Dissertations (94)
- Computer Science Faculty Publications and Presentations (83)
- Engineering Faculty Articles and Research (81)
- UBT International Conference (73)
- Tanzania Journal of Engineering and Technology (TJET) (72)
- Electrical & Computer Engineering and Computer Science Faculty Publications (71)
- Graduate Theses and Dissertations (70)
- UNLV Theses, Dissertations, Professional Papers, and Capstones (64)
- Doctoral Dissertations (59)
- Publication Type
Articles 12601 - 12630 of 17329
Full-Text Articles in Computer Sciences
Predicting Domain Adaptivity: Redo Or Recycle?, Ting Yao, Chong-Wah Ngo, Shiai Zhu
Predicting Domain Adaptivity: Redo Or Recycle?, Ting Yao, Chong-Wah Ngo, Shiai Zhu
Research Collection School Of Computing and Information Systems
Over the years, the academic researchers have contributed various visual concept classifiers. Nevertheless, given a new dataset, most researchers still prefer to develop large number of classifiers from scratch despite expensive labeling efforts and limited computing resources. A valid question is why not multimedia community “embrace the green” and recycle off-the-shelf classifiers for new dataset. The difficulty originates from the domain gap that there are many different factors that govern the development of a classifier and eventually drive its performance to emphasize certain aspects of dataset. Reapplying a classifier to an unseen dataset may end up GIGO (garbage in, garbage …
Community As A Connector: Associating Faces With Celebrity Names In Web Videos, Zhineng Chen, Chong-Wah Ngo, Juan Cao, Wei Zhang
Community As A Connector: Associating Faces With Celebrity Names In Web Videos, Zhineng Chen, Chong-Wah Ngo, Juan Cao, Wei Zhang
Research Collection School Of Computing and Information Systems
Associating celebrity faces appearing in videos with their names is of increasingly importance with the popularity of both celebrity videos and related queries. However, the problem is not yet seriously studied in Web video domain. This paper proposes a Community connected Celebrity Name-Face Association approach (CCNFA), where the community is regarded as an intermediate connector to facilitate the association. Specifically, with the names and faces extracted from Web videos, C-CNFA decomposes the association task into a three-step framework: community discovering, community matching and celebrity face tagging. To achieve the goal of efficient name-face association under this umbrella, algorithms such as …
Cognitive Architectures And Autonomy: Commentary And Response, Włodzisław Duch, Ah-Hwee Tan, Stan Franklin
Cognitive Architectures And Autonomy: Commentary And Response, Włodzisław Duch, Ah-Hwee Tan, Stan Franklin
Research Collection School Of Computing and Information Systems
This paper provides a very useful and promising analysis and comparison of current architectures of autonomous intelligent systems acting in real time and specific contexts, with all their constraints. The chosen issue of Cognitive Architectures and Autonomy is really a challenge for AI current projects and future research. I appreciate and endorse not only that challenge but many specific choices and claims; in particular: (i) that “autonomy” is a key concept for general intelligent systems; (ii) that “a core issue in cognitive architecture is the integration of cognitive processes ....”; (iii) the analysis of features and capabilities missing in current …
Fashionask: Pushing Community Answers To Your Fingertips, Wei Zhang, Lei Pang, Chong-Wah Ngo
Fashionask: Pushing Community Answers To Your Fingertips, Wei Zhang, Lei Pang, Chong-Wah Ngo
Research Collection School Of Computing and Information Systems
We demonstrate a multimedia-based question-answering system, named FashionAsk, by allowing users to ask questions referring to pictures snapped by mobile devices. Specifically, instead of asking verbose questions to depict visual instances, direct pictures are provided as part of questions. To answer these multi-modal questions, FashionAsk performs a large-scale instance search to infer the names of instances, and then matches with similar questions from communitycontributed QA websites as answers. The demonstration is conducted on a million-scale dataset of Web images and QA pairs in the domain of fashion products. Asking a multimedia question through FashionAsk can take as short as five …
[Accepted Article Manuscript Version (Postprint)] Track Me To Track Us: Leveraging Short Range Wireless Technologies For Enabling Energy Efficient Wi-Fi-Based Localization, Mohamed Abdellatif, Abderrahmen Mtibaa, Khaled Harras
[Accepted Article Manuscript Version (Postprint)] Track Me To Track Us: Leveraging Short Range Wireless Technologies For Enabling Energy Efficient Wi-Fi-Based Localization, Mohamed Abdellatif, Abderrahmen Mtibaa, Khaled Harras
Computer Science Faculty Works
Given the success of outdoor tracking via GPS and the rise of real-time context-aware services, users will soon rely on applications that require higher granularity indoor localization. This need is further manifested in countries like Qatar, where various social and business activities occur indoors. Wi-Fi-based indoor localization is one of the most researched techniques due to its ubiquitous deployment and acceptable accuracy for a wide range of applications. However, we do not witness such techniques widely deployed mainly due to their high demand on energy, which is a precious commodity in mobile devices. We propose an energy-efficient indoor localization system …
Ceg 7900-01: Special Topics: Computer And Network Security, Junjie Zhang
Ceg 7900-01: Special Topics: Computer And Network Security, Junjie Zhang
Computer Science & Engineering Syllabi
This course will introduce active research topics in computer and network security, and will focus on discussing both sophisticated cyber-attacks and the defense mechanisms. The course will cover topics including intrusion detection, malware analysis, worm detection, botnet detection, spam, phishing, DNS security, web security, cellular network security, and privacy. This class is targeted at PhD and MS students who consider conducting research in computer and network security, and students who are interested in real-world security problems.
Ceg 4500/6500-01: Computer Graphics, Thomas Wischgoll
Ceg 4500/6500-01: Computer Graphics, Thomas Wischgoll
Computer Science & Engineering Syllabi
By the end of this quarter, you will have learnt techniques for constructing 2-D and 3·D objects as well as manipulating and rendering the objects using OpenGL.
The outline of the course is as follows:
•Introduction
•Geometric primitives
•Attributes of geometric primitives
•Antialiasing techniques
•Homogeneous coordinate system
•2-0 and 3-D viewing transformations
•Structures and hierarchical modeling
•Input devices and interactive techniques
•Visible surface detection methods
•Three-Dimensional Object Representations (chapter 8)
•Visible-Surface Detection (chapter 9)
•Illumination Models and Surface-Rendering Methods (chapter 10)
•Interactive Input Methods and Graphics User Interfaces (chapter 11)
•Color Models and Color Applications (chapter 12)
•Advanced Rendering and …
Modification And Application Of A Turbulence Response Analysis Method For Flexible Aircraft Configurations, Christie Jeanne Funk
Modification And Application Of A Turbulence Response Analysis Method For Flexible Aircraft Configurations, Christie Jeanne Funk
Mechanical & Aerospace Engineering Theses & Dissertations
A software program and associated methodology to study gust loading on aircraft exists for a classification of geometrically simplified flexible configurations. This program consists of a simple aircraft response model with two rigid and three flexible symmetric degrees of freedom and allows for the calculation of various airplane responses due to a discrete one-minus-cosine gust as well as continuous turbulence. Simplifications, assumptions, and opportunities for potential improvements pertaining to the existing software program are first identified, then a revised version of the original software tool is developed with improved methodology to include more complex geometries, additional excitation cases, and output …
Cs 1010-01: Introduction To Computers And Office Productivity Software, Terri Bauer
Cs 1010-01: Introduction To Computers And Office Productivity Software, Terri Bauer
Computer Science & Engineering Syllabi
Focus on learning MS Office software applications including intermediate word processing, spreadsheets, database and presentation graphics using a case study approach where critical thinking and problem solving skills are required. Computer concepts are integrated throughout the course to provide an understanding of the basics of computing, the latest technological advances and how they are used in industry. Ethics and issues encountered in business are discussed to challenge students on societal impact of technology.
Cs 1150-01: Introduction To Computer Science, Karen Meyer
Cs 1150-01: Introduction To Computer Science, Karen Meyer
Computer Science & Engineering Syllabi
The Introduction to Computer Science course will expose students to the scientific method as implemented in computer science. The course will show students how the scientific method as implemented in computer science can be used as a problem-solving tool. The course requires students to apply and extend the concepts in a laboratory setting. The concepts will include the study of and methodology of algorithm discovery, design, application, and fundamentals of networks. Lecture and Lab
Cs 1160: Introduction To Computer Programming I, Vanessa Starkey
Cs 1160: Introduction To Computer Programming I, Vanessa Starkey
Computer Science & Engineering Syllabi
Basic concepts of computer programming with an emphasis on structured programming techniques. Includes an introduction to object-oriented programing. Integrated lecture/lab.
Cs 1160: Introduction To Computer Programming I, David M. Hutchison
Cs 1160: Introduction To Computer Programming I, David M. Hutchison
Computer Science & Engineering Syllabi
CS 1160 is the first in a sequence of two programming classes. This course will introduce students to the basic concepts of programming. Examples are from business applications with an emphasis on problem solving with the computer as a tool.
Cs 4800/6800: Web Information Systems, Amit P. Sheth
Cs 4800/6800: Web Information Systems, Amit P. Sheth
Computer Science & Engineering Syllabi
No abstract provided.
Cs 7800: Information Retrieval, Krishnaprasad Thirunarayan
Cs 7800: Information Retrieval, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course will cover models for information retrieval, techniques for indexing and searching. and algorithms for classification and clustering. It will also cover SVM, latent semantic indexing. link analysis and ranking, Map-Reduce architecture and Hadoop, to different degrees of detail, time permitting.
Cs/Mth 3260/5260: Numerical Methods For Computational Science, Ronald F. Taylor
Cs/Mth 3260/5260: Numerical Methods For Computational Science, Ronald F. Taylor
Computer Science & Engineering Syllabi
Numerical methods for the sciences using modern programming languages. Solution of linear and nonlinear equations, symmetric matrix eigenvalue problems, interpolation, and least squares. Initial value and boundary value problems for representative systems governed by ordinary and partial differential equations are also solved numerically. Three hours lecture.
Cs 3100/5100: Data Structures And Algorithms, Keke Chen
Cs 3100/5100: Data Structures And Algorithms, Keke Chen
Computer Science & Engineering Syllabi
This course will cover the fundamentals of algorithm design and analysis, the implementation of classical data structures and control structures, and the basic problem solving techniques.
Cs 1180-06: Computer Programming - I, Jay Dejongh
Cs 1180-06: Computer Programming - I, Jay Dejongh
Computer Science & Engineering Syllabi
Basic concepts of programming and programming languages are introduced. Emphasis is on problem solving and object oriented programming. This course provides a general introduction to the fundamentals of computer science and programming. Examples from and applications to a broad range of problems are given. No prior knowledge of programming is assumed. The concepts covered will be applied to the Java programming language. Students must register for both lecture and one laboratory section. 4 credit hours.
Cs 3190: Programming Language Workshop In Python, Krishnaprasad Thirunarayan
Cs 3190: Programming Language Workshop In Python, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course is designed as a self-study in Python. You are expected to learn the language and solve a set of programming problems assigned to you from Budd's Text using Python available from http://www.python.org. There are no exams. We officially meet only once in the quarter. However, l will be available in the posted office hours for clarifications and discussions about the programming problems.
Cs 3100/5100: Data Structures And Algorithms, Meilin Liu
Cs 3100/5100: Data Structures And Algorithms, Meilin Liu
Computer Science & Engineering Syllabi
This is a fundamental course for students majoring in Computer Science. Students will learn: basic algorithm analysis techniques; asymptotic complexity; big-0 and big-Omega notations; efficient algorithms for discrete structures including lists, trees, stacks, and graphs; fundamental computing algorithms including sorting, searching, and hashing techniques.
Cs 1200: Introduction To Discrete Structures, Pascal Hitzler
Cs 1200: Introduction To Discrete Structures, Pascal Hitzler
Computer Science & Engineering Syllabi
No abstract provided.
Cs 2800: Web Design Fundamentals, Mohamed B. Ali
Cs 2800: Web Design Fundamentals, Mohamed B. Ali
Computer Science & Engineering Syllabi
Introduction to basic web design, development, and information management. Topics include design principles, page layout, hierarchal organization, content management, use of color and graphics, privacy policies, accessibility and site organization. HTML, and modern web programming tools are included in the course.
Cs 1181: Computer Science Ii, Mateen M. Rizki
Cs 1181: Computer Science Ii, Mateen M. Rizki
Computer Science & Engineering Syllabi
This is the second course in a two-semester sequence introducing fundamental concepts and techniques for computer science and engineering. The course focuses on problem analysis, advanced programming concepts using JAVA and fundamental data structures. Students learn to analyze problems and evaluate potential solutions with respect to choice of data structures and computational efficiency. Student are exposed to the underlying implementation of basic data structures available in JAVA libraries and develop the skilled needs to extend existing data structures and design new data structures to solve increasingly complex problems.
Cs 4850/6850: Principles Of Artificial Intelligence, Shaojun Wang
Cs 4850/6850: Principles Of Artificial Intelligence, Shaojun Wang
Computer Science & Engineering Syllabi
No abstract provided.
Cs 2160: Visual Basic Programming, Eric Saunders
Cs 2160: Visual Basic Programming, Eric Saunders
Computer Science & Engineering Syllabi
This course will cover the fundamentals of object-oriented computer programming; with an emphasis on design, structure, debugging, and testing. Visual Basic 2010 will be used for developing programs.
Cs 7900: Information Security, Meilin Liu
Cs 7900: Information Security, Meilin Liu
Computer Science & Engineering Syllabi
This course gives a comprehensive study of security vulnerabilities in information systems and the basic techniques for developing secure applications and practicing safe computing. Topics include: Conventional encryption; Data Encryption Standard; Advanced Encryption Standard; Hashing functions and data integrity; Basic Number Theory; Public-key encryption (RSA); Digital signature; Security standards and applications; Access Control; Management and analysis of security. After taking this course, students will have the knowledge of several well-known security standards and their applications; and the students should be able to increase system security and develop secure applications.
Cs 3180/5180: Comparative Languages, Krishnaprasad Thirunarayan
Cs 3180/5180: Comparative Languages, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course will introduce fundamental concepts and paradigms underlying the design of modern programming languages. For concreteness, we study the details of an object-oriented language (e.g. Java, C#, C++), a functional language (e.g., Scheme, and get introduced to multiparadigm languages (e.g., Python, Scala). The overall goal is to enable comparison and evaluation of existing languages. The programming assignments will largely be coded in Java and in Scheme, and optionally in Python or Scala.
Cs 4000: Social Implications Of Computing, Leo Finkelstein
Cs 4000: Social Implications Of Computing, Leo Finkelstein
Computer Science & Engineering Syllabi
CS 4000 is a communication skills course using as its subject matter current salient issues associated with the social implications of computing. In addition to the course text, you will need to use certain reading materials in the library and elsewhere, and you will be responsible for using concepts and theories provided in class lectures and discussions.
Cs 7720: Data Mining, Guozhu Dong
Cs 7720: Data Mining, Guozhu Dong
Computer Science & Engineering Syllabi
This course studies the fundamental concepts, issues, and techniques of data mining. Topics include basics of data, data preprocessing, feature selection/extraction, frequent pattern and association/correlation mining, classification, clustering, outlier analysis, OLAP/OLAM, contrast mining, applications, etc.
Cs 4900/6900-01: Ios Programming, Erik Marlow Buck
Cs 4900/6900-01: Ios Programming, Erik Marlow Buck
Computer Science & Engineering Syllabi
No abstract provided.
Cs 3200/5200: Theoretical Foundations Of Computing, Guozhu Dong
Cs 3200/5200: Theoretical Foundations Of Computing, Guozhu Dong
Computer Science & Engineering Syllabi
CS 3200/5200 is an introduction to (a) formal language and automata theory and (b) computability. For (a), we will examine mechanisms for defining syntax of languages and devices for recognizing languages. Along with the fundamentals of these two topics, the course will investigate the relationships between language definition mechanisms and language recognition devices. For (b), we will study decision problems, the Church-Turing thesis, the undecidability of the Halting Problem, and problem reduction and undecidability. The text will be the third edition of Languages and Machines: An Introduction to the Theory of Computer Science, by Thomas Sudkamp.