Open Access. Powered by Scholars. Published by Universities.®
- Institution
-
- China Simulation Federation (3880)
- TÜBİTAK (3106)
- Wright State University (1960)
- Old Dominion University (941)
- Singapore Management University (884)
-
- 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 (170)
- 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 (857)
- 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 (217)
- 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 13501 - 13530 of 17324
Full-Text Articles in Computer Sciences
Cs 241-01: Computer Programming - Ii, Michael Ondrasek
Cs 241-01: Computer Programming - Ii, Michael Ondrasek
Computer Science & Engineering Syllabi
The CS 241 course is a continuation of CS 240. The emphasis in CS 241 is on solving more complex problems using object oriented programming. Prerequisite: CS240. Students must register for both lecture and one laboratory section. 4 credit hours.
Cs 499/699-01: Computer Programming For Scientific, Michael L. Raymer
Cs 499/699-01: Computer Programming For Scientific, Michael L. Raymer
Computer Science & Engineering Syllabi
No abstract provided.
Cs 701-01: Database Systems And Design, Soon M. Chung
Cs 701-01: Database Systems And Design, Soon M. Chung
Computer Science & Engineering Syllabi
Introduction of DB design concepts and operating principles of database systems.
Ceg 402/602: Introduction To Computer Communication, Bin Wang
Ceg 402/602: Introduction To Computer Communication, Bin Wang
Computer Science & Engineering Syllabi
This course provides an introduction to basic concepts of communication networks, different types of networks, protocols over different layers, and network applications through lectures, labs, homework, and reading on relevant materials.
Ceg 434/634: Concurrent Software Design, Soon M. Chung
Ceg 434/634: Concurrent Software Design, Soon M. Chung
Computer Science & Engineering Syllabi
Classical problems of synchronization and concurrency and their solutions are examined through course projects and through readings on operating system design.
Ceg 477/677: Computer Graphics Ii, Thomas Wischgoll
Ceg 477/677: Computer Graphics Ii, Thomas Wischgoll
Computer Science & Engineering Syllabi
By the end of this quarter, you will be familiar with techniques for generation 3-D scenes and interacting with the generated scenes. You will be introduced to surface rendering techniques, visibility algorithms, illumination models, and geometric modelling.
Ceg 220: Introduction To C Programming For Engineers, Jay Dejongh
Ceg 220: Introduction To C Programming For Engineers, Jay Dejongh
Computer Science & Engineering Syllabi
This course provides a general introduction to computers as a problem-solving tool using the C programming language. Emphasis is on algorithms and techniques useful to engineers.
Ceg 435/635: Distributed Computing And Systems, Yong Pei
Ceg 435/635: Distributed Computing And Systems, Yong Pei
Computer Science & Engineering Syllabi
Study of process coordination, client-server computing, distributed objects, transactions, concurrency control, recovery of transactions, network and distributed file systems,
Ceg 468/668: Managing The Software Development Process, John A. Reisner
Ceg 468/668: Managing The Software Development Process, John A. Reisner
Computer Science & Engineering Syllabi
This course will cover some of the challenges and issues associated with software project management. Emphasis will occur on two fronts: (1) the software project manager's view (that is, what considerations and obstacles confront project managers during software development), and (2) the organizational view (that is, how organizations can foster a climate where software project management is performed effectively throughout an organization).
Ceg 498: Design Experience, Thomas C. Hartrum
Ceg 498: Design Experience, Thomas C. Hartrum
Computer Science & Engineering Syllabi
CEG 498 (Design Experience) is a summative computer engineering design project course that builds upon previous engineering, science, mathematics and communications course work. CEG 498 projects are a minimum of two quarters in length and must be completed in groups of at least three students. Projects are selected under the guidance of the course instructor and are tailored to both student interest and formal classroom preparation. Students are evaluated both on their individual contributions as recorded in a graded engineering journal and on the quality of their collective efforts as reflected in g10up generated products.
Ceg/Mth 416/616: Matrix Computations, Ronald F. Taylor
Ceg/Mth 416/616: Matrix Computations, Ronald F. Taylor
Computer Science & Engineering Syllabi
This course is a survey of numerical methods in linear algebra for application to problems in engineering and the sciences. Emphasis is on using modern software tools on high performance computing systems. This course covers the mathematics of linear equations, eigenvalue problems, singular value decomposition, and least squares. Material covered will be relevant to applications areas such as structural analysis, heat transfer, neural networks, mechanical vibrations, and image processing in biomedical engineering.
Ceg 720: Computer Architecture I, Soon M. Chung
Ceg 720: Computer Architecture I, Soon M. Chung
Computer Science & Engineering Syllabi
Review of sequential computer architecture and study of parallel computers. Topics include memory hierarchy, reduced instruction set computer, pipeline processing, multiprocessing, various parallel computers, interconnection networks, and fault-tolerant computing.
Cs 400/600-02: Data Structures And Algorithms, Sarah Gothard
Cs 400/600-02: Data Structures And Algorithms, Sarah Gothard
Computer Science & Engineering Syllabi
Study of the implementation of data structures and control structures in professional computer programs. Introduction to the fundamentals of complexity and analysis. Study of common standard problems and solutions (e.g., transitive closure and critical path). Emphasis on high-level language software design.
Cs 470/670-01: Systems Simulation, Thomas C. Hartrum
Cs 470/670-01: Systems Simulation, Thomas C. Hartrum
Computer Science & Engineering Syllabi
Introduction to simulation and comparison with other techniques. Discrete simulation models. Introduction to queuing theory and stochastic processes. Comparison of simulation languages. Simulation methodology and selected applications.
Ceg 739: Medical Image Analysis, Arthur A. Goshtasby
Ceg 739: Medical Image Analysis, Arthur A. Goshtasby
Computer Science & Engineering Syllabi
This course discusses applications of image analysis in medical imaging. Methods for analysis of both 2-D and 3-D (volumetric} images are covered.
Cs 205-01: Introduction To Computers And Office Productivity Software, Terri Bauer
Cs 205-01: 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 340-01: Programming Language Workshop In C#, Krishnaprasad Thirunarayan
Cs 340-01: Programming Language Workshop In C#, Krishnaprasad Thirunarayan
Computer Science & Engineering Syllabi
This course is designed as a self-study in C#. You are expected to learn the language and solve a set of programming problems assigned to you using MS Visual Studio .NET. There are no exams. We officially meet only once in the quarter.
Ceg 360/560 Ee 451/651: Digital System Design, Travis E. Doom
Ceg 360/560 Ee 451/651: Digital System Design, Travis E. Doom
Computer Science & Engineering Syllabi
Design of digital systems. Topics include flip-flops, registers, counters, programmable logic devices, memory devices, register-level design, and microcomputer system organization. Students must show competency in the design of digital systems.
Cs 714-01: Machine Learning, Shaojun Wang
Cs 714-01: Machine Learning, Shaojun Wang
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 433/633: Operating Systems, Thomas Wischgoll
Ceg 433/633: Operating Systems, Thomas Wischgoll
Computer Science & Engineering Syllabi
The purpose of the class is for everyone to understand the issues involved with the management of resources in multi-user computer systems. Emphasis is on problems of file-system design, process scheduling, memory allocation, protection, and tools needed for solutions. Course projects use the C/C++ language and include the design of portions of an operating system.
Ceg 460/660: Introduction To Software Computer Engineering, Thomas C. Hartrum
Ceg 460/660: Introduction To Software Computer Engineering, Thomas C. Hartrum
Computer Science & Engineering Syllabi
This course is concerned with the techniques of designing and constructing large programs. Some of the required basic concepts necessarily have to be developed using small programs as examples. To this extent, we also study programming-in-the-small. The overall objectives are to present an overview of issues in the development of software, to discuss terminology, to illustrate via example case studies, and to give sufficiently detailed advice on how to develop quality software. Hands-on experience is emphasized through the use of homework and a class project.
Ceg 730: Distributed Computing Principles, Prabhaker Mateti
Ceg 730: Distributed Computing Principles, Prabhaker Mateti
Computer Science & Engineering Syllabi
This course is about the foundations and principles involved in distributed systems with an introduction to recent systems and languages. The next course (CEG 830) concentrates on systems related issues, and on the design of distributed systems and applications.
Ceg 750: Microprocessor, Jack Jean
Ceg 750: Microprocessor, Jack Jean
Computer Science & Engineering Syllabi
Design and implement an MC6812 computer system based on an Axiom CSM-12C32 board that allows the loading of a 6812 application program from a PC so as to reconfigure the system as both an analog waveform storage scope and a digital logic analyzer.
Ceg 411/611: Microprocessor-Based System Design, Jack Jean
Ceg 411/611: Microprocessor-Based System Design, Jack Jean
Computer Science & Engineering Syllabi
No abstract provided.
Ceg 750: Microprocessor, Jack Jean
Ceg 750: Microprocessor, Jack Jean
Computer Science & Engineering Syllabi
Design and implement an MC6812 computer system based on an Axiom CSM-12C32 board that allows the loading of a 6812 application program from a PC so as to reconfigure the system as both an analog waveform storage scope and a digital logic analyzer.
Ceg 404/604: Wireless Sensor Networks, Bin Wang
Ceg 404/604: Wireless Sensor Networks, Bin Wang
Computer Science & Engineering Syllabi
In this course we will provide an introduction to Wireless Sensor Networks (WSN) and cover latest topics in WSNs. The goal of this course is to give an overview of fundamental problems in the area of WSNs. We will discuss existing solutions for some of these problems.
Ray Collection Bounding Volume Hierarchy, Kris Krishna Rivera
Ray Collection Bounding Volume Hierarchy, Kris Krishna Rivera
Electronic Theses and Dissertations
This thesis presents Ray Collection BVH, an improvement over a current day Ray Tracing acceleration structure to both build and perform the steps necessary to efficiently render dynamic scenes. Bounding Volume Hierarchy (BVH) is a commonly used acceleration structure, which aides in rendering complex scenes in 3D space using Ray Tracing by breaking the scene of triangles into a simple hierarchical structure. The algorithm this thesis explores was developed in an attempt at accelerating the process of both constructing this structure, and also using it to render these complex scenes more efficiently. The idea of using "ray collection" as a …
Techniques For Boosting The Performance In Content-Based Image Retrieval Systems, Ning Yu
Techniques For Boosting The Performance In Content-Based Image Retrieval Systems, Ning Yu
Electronic Theses and Dissertations
Content-Based Image Retrieval has been an active research area for decades. In a CBIR system, one or more images are used as query to search for similar images. The similarity is measured on the low level features, such as color, shape, edge, texture. First, each image is processed and visual features are extract. Therefore each image becomes a point in the feature space. Then, if two images are close to each other in the feature space, they are considered similar. That is, the k nearest neighbors are considered the most similar images to the query image. In this K-Nearest Neighbor …
Modeling Human Group Behavior In Virtual Worlds, Fahad Shah
Modeling Human Group Behavior In Virtual Worlds, Fahad Shah
Electronic Theses and Dissertations
Virtual worlds and massively-multiplayer online games are rich sources of information about large-scale teams and groups, offering the tantalizing possibility of harvesting data about group formation, social networks, and network evolution. They provide new outlets for human social interaction that differ from both face-to-face interactions and non-physically-embodied social networking tools such as Facebook and Twitter. We aim to study group dynamics in these virtual worlds by collecting and analyzing public conversational patterns of users grouped in close physical proximity. To do this, we created a set of tools for monitoring, partitioning, and analyzing unstructured conversations between changing groups of participants …
Effective Task Transfer Through Indirect Encoding, Phillip Verbancsics
Effective Task Transfer Through Indirect Encoding, Phillip Verbancsics
Electronic Theses and Dissertations
An important goal for machine learning is to transfer knowledge between tasks. For example, learning to play RoboCup Keepaway should contribute to learning the full game of RoboCup soccer. Often approaches to task transfer focus on transforming the original representation to fit the new task. Such representational transformations are necessary because the target task often requires new state information that was not included in the original representation. In RoboCup Keepaway, changing from the 3 vs. 2 variant of the task to 4 vs. 3 adds state information for each of the new players. In contrast, this dissertation explores the idea …