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  • Optimization of seasonal irrigation scheduling by genetic algorithms

    Creator:
    Canpolat, Necati
    Abstract:
    In this work, we first introduce a novel approach to the long term irrigation scheduling using Genetic Algorithms (GAs). We explore the effectiveness of GAs in the context of optimizing nonlinear crop models and describe application requirements and implementation of the technique. GAs were found to converge quickly to near-optimal...
    Resource Type:
    Dissertation
    Full Text:
    - 13 run- 14 run- 15 16.. run­ 17run- run 18 300 run- 19 run- 20 Aug 200 0 10 20 30 40 50 60 110

  • Topics in toroidal interconnection networks

    Creator:
    Broeg, Robert Richard
    Resource Type:
    Dissertation
    Full Text:
    ) 00 00 10 11 20 22 30 33 40 44 01 04 11 10 21 21 31 32 41 43 02 03 12 14 22 20 32 31 42 42 03 02

  • Offensive Direction Inference in Real-World Football Video

    Creator:
    Lu, Qingkai
    Abstract:
    Automatic analysis of American football videos can help teams develop strategies and extract patterns with less human effort. In this work, we focus on the problem of automatically determining which team is on offense/defense, which is an important subproblem for higher-level analysis. While seemingly mundane, this problem is quite challenging...
    Resource Type:
    Masters Thesis
    Full Text:
    presented on June 10, 2015. Title: Offensive Direction Inference in Real-World Football Video Abstract

  • Computational Approaches for RNA Structure Prediction with Dynamic Programming and Deep Neural Networks

    Creator:
    Deng, Dezhong
    Abstract:
    Our goal is to build a system to model the RNA sequences that reveals their structural information by using efficient dynamic programming algorithms and deep learning approaches. We aim to 1) achieve linear-time for RNA secondary structure prediction based on existing minimum free energy models; 2) utilize deep neural networks...
    Resource Type:
    Dissertation
    Full Text:
    degree of Doctor of Philosophy in Computer Science presented on December 10, 2019. Title

  • Adiabatic Markov Decision Process : convergence of value iteration algorithm

    Creator:
    Duong, Thai
    Abstract:
    Markov Decision Process (MDP) is a well-known framework for devising the optimal decision making strategies under uncertainty. Typically, the decision maker assumes a stationary environment which is characterized by a time-invariant transition probability matrix. However, in many real-world scenarios, this assumption is not justified, thus the optimal strategy might not...
    Resource Type:
    Masters Thesis
    Full Text:
    Electrical and Computer Engineering presented on June 10, 2013. Title: Adiabatic Markov Decision Process

  • Computing Resource Usage as a Factor of Student Success

    Creator:
    Moissinac, Béatrice
    Abstract:
    Learning Analytics and other branches of Educational Research such as Computing Education Research (CER) implicitly assume that students, especially college students, have no barriers to access learning platforms or software packages. This assumption may be attributed to such pervasive beliefs such as "everyone has a device", or "everyone can access...
    Resource Type:
    Dissertation
    Full Text:
    . . . . . . . . . . . . . . . . . . . . . . . 10 2.4 Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 2.4.1

  • Visual object discovery and understanding

    Creator:
    Yuan, Jialin
    Abstract:
    Learning to recognize objects is a fundamental and essential step in human perception and understanding of the world. Accordingly, research of object discovery across diverse modalities plays a pivotal role in the context of computer vision. This field not only contributes significantly to enhancing our understanding of visual information but...
    Resource Type:
    Dissertation
    Full Text:
    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 3 Instance Segmentation 10 3.1 Introduction

  • Web-PST : Web-based Pesticide Screening Tool

    Creator:
    Manda, Ashwin Prasad
    Abstract:
    We have developed a web-based software tool for evaluating the potential risk of pesticides on the surrounding environment. The software tool is called Web-based Pesticide Screening Tool (Web-PST). It uses the formulas and standards specified by the Soil/Pesticide Interaction Screening Procedure Version II (SPISP II). Web-PST closely models the stand-alone...
    Resource Type:
    Capstone Project
    Full Text:
    Overview 3.1 System Architecture 8 3.2 Functions of Web-PST 9 3.3 Data Model of Web-PST 10 3.4

  • Knowledge Base Completion Leveraging Natural Language Data

    Creator:
    Shahbazi, Hamed
    Abstract:
    Information about named entities (real-world objects) is usually harvested from different sources and organized as a multiple relational directed graph in Knowledge Bases (KBs). KBs play essential roles in many NLP modules including question answering, fact-checking, search engines, etc. KBs are big but still incomplete: relational information among entities is...
    Resource Type:
    Dissertation
    Full Text:
    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60 5.1 Abstract . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60 5.2

  • Porting and optimizing a routing library for C* on the iPSC/860

    Creator:
    Uberoy, Chetan
    Abstract:
    High level data-parallel languages are easy to use and shield the programmer from machine specific details. A simple and efficient way of providing an interface to such languages is to develop a machine-independent compiler and a routing library, which isolates the low-level machine dependent communication functions, The compiler translates the...
    Resource Type:
    Capstone Project
    Full Text:
    "with" statement 10 3.4 Operations on parallel variables 11 3.5 New C* operators 12 3.6 Selecting