Browsing Computer Science by Title

Network Intrusion Detection and classification using Stacked Autoencoder with Random Forest Technique

Girum, Berhanu Yireda (2022-07-30)

Compared to other conventional network threat prevention technologies, such as antivirus and firewalls, network intrusion detection models (NIDS) offer a better option for network intrusion detection. For intrusion ...

Next Word Prediction for Word Autocomplete in Tigrigna Text Entry

BERHE, HAFTOM (2020-03-20)

Nowadays usage of computers and hand held devices in our day to day life for data processing is a common task. For processing texts need to enter to the computer via keyboard or other mechanisms. Predicting a word at the ...

NOVEL ALGORITHMS FOR DESIGN OPTIMIZATION OF WIRELESS SENSOR NETWORKS

DEFAR, ABENEZER (2020-03-20)

Sensor technologies have become very important today in gathering information about close by environments and its use in wireless sensor networks (WSN) is getting widespread and becoming popular every day. These networks ...

OFFLINE HANDWRITTEN AWNGI CHARACTER RECOGNITION USING DEEP LEARNING TECHNIQUE

HAILEYSUS, ABATIE (2021-02-02)

Handwritten recognition systems take input from the paper documents scanner, images; touch screen, and, electronic pen. After processing it offers the output as a electronic document suitable for subsequent access and ...

ONLINE HANDWRITING RECOGNITION OF ETHIOPIC CHARACTERS USING SVM

AYALNEH, WORKNEH (2020-03-16)

The unique characteristics of Ethiopic script unlike other scripts (like English), it has a characteristics of large number of class, and confusion between similar characters. In this work, the Ethiopic online handwriting ...

PART OF SPEECH TAGGING FOR AWNGI LANGUAGE

BIRHANE, WONDMANEH GETAHUN (2020-06-22)

Natural Language Processing (NLP) has emerged as a means of increasing computers capability to understand natural languages, by which most of human knowledge is recorded. Part-of- Speech (POS) tagging is one of the tasks ...

PREDICTING MATERNAL MORTALITY IN AMHARA REGION USING DATA MINING TECHNIQUES

Abinet, Kindie (2020-07)

Maternal mortality is the death of pregnant women due to complications arising during the period of pregnancy and after delivery. Predicting maternal mortality and identifying the major determinants for maternal mortality ...

A PREDICTION MODEL TO IDENTIFY EFFECTIVE CONFLICT RESOLUTION METHOD

SEBLEWONGEL, HABTEMICHEAL (2022-07)

A major disagreement or argument, usually one that lasts a long time, is referred to as conflict or it is simply creating a difference between the two parties. Conflict will always exist in society, with the causes ...

A PREDICTION MODEL TO IDENTIFY EFFECTIVE CONTRACT TYPE IN CONSTRUCTION ENTERPRISES

ABREHAM, ASSEFA SHIFERAW (2022-02)

The construction project is managed by construction managers who familiar with the project management knowledge areas. These construction managers know everything intelligent means discerning or looking around and ...

PREDICTION OF SOFTWARE PROJECT MANAGEMENT KNOWLEDGE AREAS FAILURE IN SOFTWARE COMPANIES USING A MACHINE LEARNING APPROACH

YIBELITAL, ALEMU FELEKE (2021-07)

The software project is managed by software managers who familiar with the project management knowledge areas. These software managers know everything intelligent means discerning or looking around and well informed by ...

"PREDICTIVE MODELING FOR CREDIT SCORING AND COMPARATIVE DATA ANALYSIS USING MACHINE LEARNING METHODS FOR ETHIOPIAN BANK’S"

ESKINDER, ESHETU ABEBE (2023-07-20)

Credit scoring is a method used to assess a customer's reliability and repayment capacity. Currently, Ethiopian financial institutions rely on traditional loan assessment methods, which may lead banks approving risky ...

A Prototype for mobile based data collection and reminder system

Zeleke, Addisu (2020-03-20)

In developed and developing countries, mobile will be used to collect, store, analyze and upload a wide range of personal and organizational data and a way of communication framework within workers. mHealth involves the ...

RADIO FREQUENCY ENERGY ANALYSIS AND HARVESTING TO WIRELESS SENSOR NETWORKS

GASHAW, NURLIGN (2020-03-16)

Radio frequency energy harvesting is an emerging technology that enables to drive the next generation of WSN nodes and different sensors with environmental & wireless sensor networks friendly alternative energy sources. ...

Real-time drinking water quality detection and classification using wireless sensor network and K-nearest neighbor algorithm

Kindie, Abebe (2020)

Water is the most vital resource for living things, especially for human beings. In order to be healthy, everyone must have taken good-quality water in his/her entire life. However, checking the quality of drinking water ...

Real-time drinking water quality detection and classification using wireless sensor network and K-nearest neighbor algorithm

Abebe, Kindie (2020-08-20)

Water is the most vital resource for living things, especially for human beings. In order to be healthy, everyone must have taken good-quality water in his/her entire life. However, checking the quality of drinking water ...

RECOGNITION OF ETHIOPIAN HERBACEOUS PLANTS USING A MACHINE LEARNING APPROACH

DERSO, MEKURIAW (2021-03-03)

Herbaceous plants are gaining attention in the pharmaceutical industry due to having less harmful effects reactions and cheaper than modern medicine. However, the diversity of the Ethiopian plant’s species difficulties the ...

Recognition of Facial Expressions to Measure the Performance of Actors

TESFAYE, MARU (2020-03-20)

Facial expression is most expressive and understandable form of human communication to convey information. This study focuses on developing a model for facial expression recognition systems applying novel machine learning ...

REUSABILITY ESTIMATION FOR OBJECT ORIENTED SOFTWARE COMPONENTS USING CONVOLUTIONAL NEURAL NETWORK

TEMESGEN, YEZBALEM (2021-03-03)

Softwarecomponent reusability refers to the development of a new software system using existing software components with or without anymodification. Reusability has a vital role and is becoming a critical concept in the ...

SAINT YARED KUM ZEMA CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK

BIRKU, LITGEB ASCHENEK (2021-07)

Machine learning approaches are applied in different fields of disciplines. The approach used in each area is implemented with a supervised or unsupervised learning method. The new and rapidly growing research area has ...

SARCASM DETECTION MODEL FOR AMHARIC TEXT

Tsegaw, Miniybel (2020-03-16)

Sentiment Analysis is a technique to identify people‟s opinion, attitude, sentiment, and emotion towards any specific target such as individuals, events, topics, product, organizations; services sarcasm, entailment, etc. ...

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