Browsing thesis by Title

ADOPTION OF BLOCKCHAIN SOLUTIONS TO ADDRESS THE ISSUES IN LAND RECORD MANAGEMENT: LAND TITLE REGISTRATION AND TRANSFER.

Shimelis, Bayu (2020-03-16)

Improper Land tenure and property rights registration has a number of economic and societal factors in the societies; this leads society to disappoint on administration; frustration and disappointment force them to use ...

Amharic chatbot on Ethiopian civil code law using a deep learning approach

Bizuayehu, Tadege (2022-12)

A chatbot is a computer program used to interact between humans and computer systems using natural language processing via speech or text. In this research, we developed Amharic chatbots that support lawyers ...

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 Racism Text Detection from The Writer Using Machine learning approach

Dereje, Sintayehu Aweke (2022-10)

Amharic is one of the official language of the Federal Democratic Republic of Ethiopia. There are lots of historic Amharic and Ethiopic written documents addressing various relevant issues including governance, ...

AMHARIC SPEAKER DIARIZATION SYSTEM USING DEEP LEARNING APPROACH

ABEBE, FENTA MIHIRET (2021-06)

In Ethiopia, a number of languages are spoken. Among these languages, Amharic is the working language of the Federal Government and spoken by a large part of the Ethiopian population. Due to this there is a big quantity ...

AMHARIC TEXT HATE SPEECH DETECTION IN SOCIAL MEDIA USING DEEP LEARNING APPROACH

EMUYE, BAWOKE (2020-07)

The connectivity and accessibility of social media platforms in the world allow people to express their ideas and share experiences easily. However, the anonymity and flexibility afforded by the Internet have made it ...

Amharic Text-to-Speech Synthesis Using Deep Learning Approach

Tadele, Demeke Sntie (2024-12)

Text-to-Speech (TTS) translation is a process that generates synthetic speech artificially for a variety of uses, including telephone services, reading electronic documents, and speaking models for handicapped people. ...

AMHARIC WORD SENSE DISAMBIGUATION USING TRANSFER LEARNING

NEIMA, MOSSA AHMED (2022-08)

Word sense disambiguation (WSD) plays an important role in different NLP applications such as information extraction, information retrieval, machine translation, and lexicography. The manual disambiguation ...

ANAPHORIC TERM CLASSIFICATION AND RESOLUTION MODEL FOR AMHARIC PRONOUNS: USING DEEP LEARNING TECHNIQUE

SIRAYE, MEKONNEN DAGNE (2023-06)

The existence of an anaphoric term in a text has an impact on different natural language processing studies like machine translation, semantics analysis, and sentiment analysis. This study use deep learning and a machine ...

APPLYING MACHINE LEARNING TECHNIQUES AND OPEN SOURCE SECURITY TOOL FOR HOST BASED INTRUSION DETECTION

KEBEDE, NIBRETU (2020-03-16)

Withadvancesincomputersandcommunicationtechnology,internetusersandcomputer networks suﬀer from a number of rapidly increasing attacks (intrusions). These sophisticatedandever-growingnetworkattacksbeginwithanattackerbreak ...

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 ...

Assessment Design and Evaluation of Service Based Patient Physician Communication Framework

Temesgen, Muluadam (2020-03-17)

For developing countries, like Ethiopia, who have insufficient number of physicians and who emigrate every year, finding the physician face to face is difficult. Even the health facilities are sparsely located especially ...

AUTOMATIC CAUSAL RELATION EXTRACTION FOR AMHARIC LANGUAGE TEXTS USING CNN

MELKAMU, MEKURIAW (2020)

The extraction of a causal relation could be a difficult task while it is very important domain area for Natural Language Processing (NLP). There are many existing approaches and techniques developed in order to tackle ...

AUTOMATIC CAUSAL RELATION EXTRACTION FOR AMHARIC LANGUAGE TEXTS USING CNN

MEKURIAW, MELKAMU CHEKOL (2020-08-12)

The extraction of a causal relation could be a difficult task while it is very important domain area for Natural Language Processing (NLP). There are many existing approaches and techniques developed in order to tackle ...

Automatic Detection of Yellow rust in Wheat using Image Processing and Machine Learning Approach

Worku, Tsiyon (2020-02)

Stripe or yellow rust is the most commonly occurring disease in wheat caused by fungus called Puccinia striiformis. It affects the productivity and quality of wheat throughout the world. Detection of yellow rust in early ...

AUTOMATIC IDIOM RECOGNITION MODEL FOR AMHARIC LANGUAGE

ANDUAMLAK, ABEBE FENTA (2021-07)

Idiomatic expressions are a natural part of all languages and a common part of our everyday conversation. It is difficult to understand the meaning of idioms since they cannot be deduced directly from the word which they ...

Automatic Multiword Expressions Detection in Amharic language using machine learning approach

Atinkut, Muche (2022-11)

The innovative techniques of NLP in MWEs have become a very vital area of research in today’s scenario. Multiword expression (MWE) referred to lexical unit larger than a word that can allow both idiomatic and compositional ...

AUTOMATIC POWDERY AND DOWNY MILDEW PUMPKIN LEAF DISEASE IDENTIFICATION USING CONVOLUTIONAL NEURAL NETWORK.

AZEMERAW, AMARE TSEGA (2021-09)

A careful analysis of an image processing-based disease identification method is required for detecting, identifying, and treating pumpkin plant disease before it causes damage to the entire plant, Because diseases in ...

AUTOMATIC POWDERY AND DOWNY MILDEW PUMPKIN LEAF DISEASE IDENTIFICATION USING CONVOLUTIONAL NEURAL NETWORK.

AZEMERAW, AMARE TSEGA (2021-09)

A careful analysis of an image processing-based disease identification method is required for detecting, identifying, and treating pumpkin plant disease before it causes damage to the entire plant, Because diseases in ...

Automatic Quality Attribute Scenarios Identification and Generation from Quality Attribute Requirements

Amsalu, Tessema (2021-07)

Identification and generation of Quality Attribute Scenarios (QASs) from Quality Attribute Requirements (QARs) is a critical software engineering technique for defining system specifications and in facilitating development ...

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