Education

The Mediator - Volume X, Issue 1 December 2014

The present issue may be regarded as an epistemological sampler. Each article takes a distinctive approach to ways of knowing. Our first article, from professors Kwon and Crizaldo, takes a decidedly modern tack yet reaches a markedly post-modern conclusion. Using the standard tools of qualitative social sciences, they tackle the problem of knowledge, attitudes, and practices relative to dengue prevention in a community located adjacent to the Asia-Pacific Nazarene Theological Seminary.

English
WHDL ID: 
WHDL-00016199

Mapping of Surface Fire in Forested Biomes from Hyperspatial Imagery using Machine Learning

Submitted to the Department of Mathematics and Computer Science in partial fulfillment of the requirements for the degree of Bachelor of Arts

WHDL ID: 
WHDL-00015982

Identifying Prostate Cancer in Biopsy Images using a Support Vector Machine and Decision Tree

Submitted to the Department of Mathematics and Computer Science in partial fulfillment of the requirements for the degree of Bachelor of Science

WHDL ID: 
WHDL-00015978

Development of the Data Extraction Utility SweetData

Submitted to the Department of Mathematics and Computer Science in partial fulfillment of the requirements for the degree of Bachelor of Arts

WHDL ID: 
WHDL-00015975

Creation of a Web-Based Audio Recorder Utilizing a USB Foot Pedal and External Microphone

Submitted to the Department of Mathematics and Computer Science in partial fulfillment of the requirements for the degree of Bachelor of Arts

WHDL ID: 
WHDL-00015952

Creating a Mobile Application About Costa Rican Frogs and Toads Using React Native

Submitted to the Department of Mathematics and Computer Science in partial fulfillment of the requirements for the degree of Bachelor of Science

WHDL ID: 
WHDL-00015949

Counseling Department Scheduling and Accreditation Tool

Submitted to the Department of Mathematics and Computer Science in partial fulfillment of the requirements for the degree of Bachelor of Science

WHDL ID: 
WHDL-00015944

Classifying Wildland Fire Severity on Landsat Imagery Using Machine Learning Trained by Hyperspatial Imagery

Submitted to the Department of Mathematics and Computer Science in partial fulfillment of the requirements for the degree of Bachelor of Science

WHDL ID: 
WHDL-00015942

Classification of Aerial Imagery using a Relational Convolutional Neural Network

Submitted to the Department of Mathematics and Computer Science in partial fulfillment of the requirements for the degree of Bachelor of Arts & Bachelor of Science

WHDL ID: 
WHDL-00015940

Web-based Alternative for Teachers Assistants to Submit Time Sheets

Submitted to the Department of Mathematics and Computer Science in partial fulfillment of the requirements for the degree of Bachelor of Arts

WHDL ID: 
WHDL-00015902

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