Browsing Faculty of Computing by Subject "FACULTY OF COMPUTING"

ADAPTIVE SECURITY POLICY FOR DYNAMIC SOFTWARE COMPONENT ADAPTATION IN DISTRIBUTED SYSTEM ARCHITECTURE

MINASIE, LEMMA (2022-03)

A distributed system is a group of independent computers that, from the perspective of a user, operate as a single system. Individual computers may have software components that migrate from one to another, add or ...

AMHARIC HANDWRITTEN CHARACTER RECOGNITION USING DEEP FULLY CONNECTED NETWORK

HIWOT, ADANE (2022-08)

Handwriting recognition has become one of the forthcoming research topics due to the exponential growth of the usage of the devices such as take note, PDA, iPad, and smart phonesetc. Writing on those devices is quite ...

Amharic Question Generation from Amharic legal Text Documents by Using Deep Learning Approach

FIKIR, SETIE TEZERA (2022-07)

Questioning is the main tool to grasp knowledge in our day-to-day activities. But the manual construction of questions is time-consuming, expensive, and needs experts in the area. So, developing automatic question ...

Amharic Visual Speech Recognition Using A deep Learning Approach

Fikir, Gizachw Belete (2022-08-01)

Amharic-Kistanigna Bi-directional Machine Translation using Deep Learning

Mengistu, Kinfe (2022-03)

Machine translation is an application of NLP, which can be used to translate text from one natural language to another natural language. This research attempted to design Amharic-Kistanigna bidirectional machine ...

Aspect Level Sentiment Analysis Using Hybrid Deep Learning Approach for Amharic News Comments

Zemenu, Mekonnen (2022-03)

Natural Language Processing, or NLP, is a discipline of computer science that uses computer-based methods to analyze language in text and speech. The purpose and ambition of NLP is to enable computers to converse quickly ...

AUTOMATIC SOURCE CODE VULNERABILITY DETECTION, CLASSIFICATION AND PRIORITIZATION USING DEEP LEARNING ALGORITHM

MELESE, AWOKE (2022-08)

Currently, investigating software vulnerabilities is getting more attention throughout the world. Giving much of the attention is because of the impact of those vulnerabilities in software qualities such as availability, ...

Bi-directional English-Awngi Machine Translation Using Deep learning

Agerie, Belete (2022-08)

Deep learning is the current approach in neural machine translation, which requires huge amount of parallel corpus to produce high-quality translation result. The purpose of the study is to develop a bidirectional ...

BLOCKCHAIN BASED MODEL AND PROTOTYPE FOR DISEASE EARLY WARNING AND SURVEILLANCE

TEKLHIWOT, MEKONEN (2022-04)

Diseases early warning and surveillance is a very important sector in healthcare. It is concerned with controlling infectious diseases, a task which will lead to a timely prevention and mitigation work. The current ...

BUTTER QUALITY CONTROL INSPECTION USING A COMPUTER VISION APPROACH

Henok, Gashu (2022-04-21)

Agriculture is one of the most important sources of food. The quality of food is influenced by the source. In response to increasing health issues and customer needs about safe food options, demand for high-quality ...

A Case-Based Reasoning System for Diarrhea Disease Diagnosis

Tizazu, Temesgen (2022-03)

Diarrhea is considered as one of the sever disease that cause a lot of death around developing countries. It is caused by a host of bacterial, viral and parasitic organisms most of which are spread by contaminated ...

DEEP LEARNING-BASED AUTOMATIC AMHARIC-ENGLISH CODE-SWITCHING DETECTION AND CORRECTION

GIRMAW, ANDUALEM (2022-02)

Human language technology (HLT) is an essential tool for the study of how computer programs in the text can analyze, create, modify or respond to human beings. This technology is also interdisciplinary, implying a ...

DESIGN AND DEVELOP PART OF SPEECH TAGGING FOR GOOFATHO LANGUAGE USING HYBRID APPROACH (HMM AND RULE BASED)

MULUKEN, TOMAS (2022-03)

Part-of-speech tagging is the method of assigning a word class information to each word into naturally occurring text. It is the most fundamental and basic task almost in all natural language processing. Part-of-speech ...

DESIGNING SOIL HEALTH MONITORING AND NUTRIENT DETECTION MODEL USING WIRELESS SENSOR NETWORKS.

DENEKEW, EMBIALE ABUNIE (2022-02-20)

Agriculture is one of the pillars to the social, economical and political well-being of Ethiopia. Weather, farm inputs, farm management practices and soil health status are among the significant parameters hindering ...

Designing an Automatic Hand Writer Recognition Model for Amharic Language by Using Convolutional Neural Networks and Support Vector Machine.

Yeshambel, Bekele (2022-03-25)

Writer identification is a popular and active research area with numerous applications such as in banking, criminal justice, access control, and detecting the validity of handwritten letters. In this research paper ...

DEVELOPING AN AUTOMATIC SHIRO FLOUR VARIETY RECOGNITION MODEL USING A COMBINED FEATURES OF CNN AND GLCM

ADDISALEM, TESHAGER (2022-02)

Shiro(ሽሮ), is commonly used traditional food in Ethiopia. It is a typical Ethiopian ethnic staple meal that is eaten throughout the country. Shiro flour variety can be prepared from different types of legumes ...

EVENT MODELING FROM AMHARIC ORTHODOX BIBLE USING DEEP LEARNING APPROACH

BALEMLAY, GEBEYEHU (2022-02)

Due to globalization technology growth from day to day rapidly and a number of textual information is available in different platforms. An event is a situation that described in different arguments and event ...

A HYBRID FEATURE FOR ETHIOPIAN DRIVING LICENSE FORGERY DETECTION

MIKIYAS, DESALEGN DEMSSIE (2022-03)

Nowadays counterfeiting of banknotes, driving licenses, governmental and non-governmental documents is a major challenge to process business activities and identifying the person's abilities, which make forgery detection ...

ILLEGAL TREE CUTTING DETECTION SYSTEM FROM SATELLITE IMAGES

Mulugeta, Yikuno (2022-03-07)

Illegal tree cutting activities such as clearing forests inside protected areas for personal needs are contributing high to environmental degradations. Though it is a big factor to climate change, reduced biodiversity, ...

KNOWLEDGE BASED APPLICATION USING MACHINE LEARNING TECHNIQUES TO IMPROVE THE PERFORMANCE OF TECHNICAL AND VOCATIONAL TRAINEES: (A CASE OF ADDIS ABABA)

MESFIN, MEKURIYA (2022-02)

Education and training is one of the vital energetic forces and an essential condition for a nation’s economic, social and cultural development. Education plays such a role as it rises and supports the creative ...

Browsing Faculty of Computing by Subject "FACULTY OF COMPUTING"

Browsing Faculty of Computing by Subject "FACULTY OF COMPUTING"

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