thesis

Browse by

Recent Submissions

POTATO SEED DISEASE IDENTIFICATION MODEL USING DEEP CONVENTIONAL NEURAL NETWORK APPROCH

GETU, GASHAW TEGEGNE (2021-08-20)

Potato is among one of income-generating crop grown in Ethiopia, especially in North west Amara regions. Selecting and planting clean and uninfected potato seed is an important activity before distributing and planting. ...
Model Development for Dam Safety Monitoring using Wireless Sensor Network

Derese, Wudu Mekonen (2020-10-01)

Sensor based modeling pertinent to automate dam safety and end control system. Many dams’ uses for irrigation, hydroelectric power, and other purposes for human beings these are needed to be efficient and effective for ...
IDENTIFICATION OF NONFUNCTIONAL REQUIREMENT CONFLICTS: MACHINE LEARNING APPROACH THESIS

GETASEW, ABEBA (2021-07)

The interaction between requirements that can result in a bad or undesirable output of the system is known as requirement conflict. The most common causes of software failure in system development are requirements issues. ...
Amharic Phrase Level Sign Language Recognition Using Deep Learning

Teferi, Girma Messele (2021-07)

Sign language is communication between hearing-impaired with hearing-impaired and hearing-impaired with normal people. It is also a way to communicate using hand and face gestures of phrases, words, or letters and it is a ...
Customer Clustering for a Mobile Telecommunications Company Based on Call Detail Records

Surafel, Getahun (2021-04)

Telecommunications companies collect and store enormous amounts of data, including call detail data, network data, and customer data. Nowadays, most telecom companies with poor clustering have a difficult time delivering ...
CONSTRUCTING PREDICTIVE MODEL FOR TAX CLAIM FRAUD DETECTION USING DATA MINING TECHNIQUES: THE CASE OF AMHARA REVENUE AUTHORITY

Asmero, Lakiyaw (2021-06-17)

Revenues are vital sources of public infrastructure. The presence of collective consumption of properties and facilities necessitates putting some of our income into government hands. Nevertheless, gathering of tax is the ...
Analysis of Grey-hole Attack On the Performance and Energy Consumption of TCP Variants in Mobile Ad-hoc Network.

Anduamlak, Yitayeh Tadesse (2021-06-15)

A Mobile Ad-hoc Network (MANET) is a collection of mobile nodes where the mobile nodes are act as router and forming a communications network without pre-existing network infrastructure and any centralized monitoring. ...
Pentatonic Scale (Kiñit) Characteristics for Ethiopian Music Genre Classification

Terefe, Frehiwot (2019-11-19)

Music is one of the biggest issues in the world because of its importance and association with different aspects of us like Religion, Health, Culture etc. Besides to that large numbers of musical productions are introduced ...
Bank Customer Classification and Prediction Using Ensemble Machine Learning Approaches

Ayichew, Ewnetu (2020-02-27)

In the competitive banking industry, knowing the customer status and their interest creates an i mportant aspect in business continuity to provide appropriate service for customers as per the demand and develop strategies ...

POTATO SEED DISEASE IDENTIFICATION MODEL USING DEEP CONVENTIONAL NEURAL NETWORK APPROCH

GETU, GASHAW TEGEGNE (2021-08-20)

Potato is among one of income-generating crop grown in Ethiopia, especially in North west Amara regions. Selecting and planting clean and uninfected potato seed is an important activity before distributing and planting. ...
Model Development for Dam Safety Monitoring using Wireless Sensor Network

Derese, Wudu Mekonen (2020-10-01)

Sensor based modeling pertinent to automate dam safety and end control system. Many dams’ uses for irrigation, hydroelectric power, and other purposes for human beings these are needed to be efficient and effective for ...
IDENTIFICATION OF NONFUNCTIONAL REQUIREMENT CONFLICTS: MACHINE LEARNING APPROACH THESIS

GETASEW, ABEBA (2021-07)

The interaction between requirements that can result in a bad or undesirable output of the system is known as requirement conflict. The most common causes of software failure in system development are requirements issues. ...
Amharic Phrase Level Sign Language Recognition Using Deep Learning

Teferi, Girma Messele (2021-07)

Sign language is communication between hearing-impaired with hearing-impaired and hearing-impaired with normal people. It is also a way to communicate using hand and face gestures of phrases, words, or letters and it is a ...
Customer Clustering for a Mobile Telecommunications Company Based on Call Detail Records

Surafel, Getahun (2021-04)

Telecommunications companies collect and store enormous amounts of data, including call detail data, network data, and customer data. Nowadays, most telecom companies with poor clustering have a difficult time delivering ...
CONSTRUCTING PREDICTIVE MODEL FOR TAX CLAIM FRAUD DETECTION USING DATA MINING TECHNIQUES: THE CASE OF AMHARA REVENUE AUTHORITY

Asmero, Lakiyaw (2021-06-17)

Revenues are vital sources of public infrastructure. The presence of collective consumption of properties and facilities necessitates putting some of our income into government hands. Nevertheless, gathering of tax is the ...
Analysis of Grey-hole Attack On the Performance and Energy Consumption of TCP Variants in Mobile Ad-hoc Network.

Anduamlak, Yitayeh Tadesse (2021-06-15)

A Mobile Ad-hoc Network (MANET) is a collection of mobile nodes where the mobile nodes are act as router and forming a communications network without pre-existing network infrastructure and any centralized monitoring. ...
Pentatonic Scale (Kiñit) Characteristics for Ethiopian Music Genre Classification

Terefe, Frehiwot (2019-11-19)

Music is one of the biggest issues in the world because of its importance and association with different aspects of us like Religion, Health, Culture etc. Besides to that large numbers of musical productions are introduced ...
Bank Customer Classification and Prediction Using Ensemble Machine Learning Approaches

Ayichew, Ewnetu (2020-02-27)

In the competitive banking industry, knowing the customer status and their interest creates an i mportant aspect in business continuity to provide appropriate service for customers as per the demand and develop strategies ...

Search

Browse / Search

All of BDU IR
This Collection

My Account

Discover

Statistics

RSS Feeds