Browsing Faculty of Computing by Subject "Computer Science"

AMHARIC FACTOID QUESTION ANSWERING SYSTEM

MAMO, DEREJE (2020-03-20)

Although a vast amount of information is available today in digital form, no effective information access mechanism exists to provide humans with convenient information access. Information Retrieval and Question Answering ...

AMHARIC LANGUAGE VISUAL SPEECH RECOGNITION USING COMPUTER VISION AND MACHINE LEARNING APPROACH

TAMRIE, ZELALEM (2020)

Lip motion reading is a process of knowing the words spoken from a video with or without an audio signal by observing the motion of the lips of the speaker. It has a great role when the environment is noisy and listener ...

Amharic Multi Document Summation by Using Latent Semantic Analysis

Tilaye, Tizalegn (2020-01)

Text summarization is one of the application of natural language processing and is hatting to be prevalent for data condensation. A developing number of Amharic service providers are publishing their content online. To ...

AMHARIC NAMED ENTITY RECOGNITION SYSTEM USING STATISTICAL METHOD

OMER, DAWED (2020-03-20)

Named Entity Recognition (NER) is an important task in several aspects of the processing of information conveyed by natural languages. It is the task of detecting and classifying Named Entities (NEs), which are unique ...

AMHARIC SENTIMENT MINING MODEL FOR OPINIONATED TEXTOF SOCIAL MEDIA USING MACHINE LEARNING

SISAY, HUNEGNAW (2023-07)

Natural language processing applications have an important role in our daily life, by enabling computers to understand human languages. NLP applications such as sentiment analysis, machine translation, question ansIring, ...

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

BAWOKE, EMUYE (2020)

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 Ethiopian Sign Language Translation Model using Factored Phrase-Based Statistical Machine Translation Approach

Yoseph, Belay Tesfaye (2021-03)

Machine translation is a process of natural language translation automation to translate text from one natural language to another natural language. Machine translation is the fastest way to process a vast amount of data ...

AMHARIC TEXTUAL ENTAILMENT RECOGNITION

BALEW, GETACHEW (2020-03-16)

Textual Entailment Recognition is the task of deciding whether the Text entails the hypothesis or the hypothesis sentence, which is short when compared with the Text sentences. The Textual Entailment Recognition is challenging ...

Amharic Visual Question Answering on Ethiopian Tourism

Alebachew, Molla Dinku (2024-11)

Visual Question Answering (VQA) is a Vision-to-Text (V2T) task that integrates visual features of images with natural language questions to generate meaningful responses. Most existing research has focused on English, ...

ANALYSIS AND PREDICTION OF WEATHER CONDITION FACTORS USING MACHINE LEARNING TECHNIQUES

TEBABAL, SISAY (2020-03-24)

The problem of weather variation and their impacts on socio-economic development is more acute in developing countries like Ethiopia where alternating droughts have been persistent causes of severe economic hardships. Due ...

ANNOTATION AND CLASSIFICATION OF EXTREMIST ATTITUDE POSTS AND COMMENTS TEXT ON SOCIAL MEDIA IN AFAN OROMO USING SENTIMENT ANALYSIS

ABRAHAM, EJIGU TAMENE (2024-03)

Extremist attitudes on social media posts and comments are linked with other groups that propagate an individual, group, city, or country. This is a major issue. In the present day, Twitter, Facebook, YouTube, Instagram, ...

ANOMALY DETECTION FOR THE INDUSTRIAL CONTROL SYSTEM: A HYBRID DEEP LEARNING APPROACH

MESERET, WODAJE TEBEJE (2023-10-25)

Industrial control systems (ICSs) are a complicated integrated system that provide people with services by coordinating numerous vital infrastructures. ICSs is a system that keeps control and manages the condition of ...

APPLICATION OF CASE BASED REASONING FOR TUBERCULOSIS DIAGNOSIS

Firomsa, Amelework (2020-03-20)

Tuberculosis is a chronic infectious disease caused by Mycobacterium tuberculosis. TB could cause serious health problems to the community if it remains undiagnosed or misdiagnosed and untreated. When regular TB is ...

APPLICATION OF IMAGE PROCESSING TECHNIQUES FOR MALT-BARLEY SEED IDENTIFICATION

HAILU, BIRHANU (2020-07-30)

Malt-barley selection is the main procedure in beer production. The varieties of grain have to be inspected upon purchase in every malt house. Varietal uniformity is crucial for the production of high quality malt. ...

APPLYING MEDICAL IMAGE PROCCESSING TECHNIQUES FOR THE DETECTION OF MOST FREQUENTLY OCCURRING PULMONARY DISEASES

ZELALEM, HABTAMU (2020-03-20)

Pulmonary diseases are very dangerous and rapidly spreading diseases in Ethiopia. Frequently occurring pulmonary disease are very serious and infectious disease. These are cancer, tuberculosis and pneumonia and have different ...

Argument Mining From Amharic Argumentative Texts Using Machine Learning

Lake, Mikru (2020-01)

Argumentation is the processes of producing and evaluating arguments based on context of a discussion, dialogue or conversation. In information-overloaded world, manually extracting argument relation is time-consuming, ...

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 ...

Automated Coffee Quality Prediction: A Study on Predicting Coffee Quality Attributes from Roasted Coffee Images using Image analysis and Machine Learning

Yamlaksira, Degu (2024-06)

Coffee is a popular and widely consumed beverage that people worldwide enjoy. It has a long history and cultural significance, often part of daily routines. Coffee quality assessment is vital in the industry, influencing ...

AUTOMATIC AMHARIC-TIGRIGNA TRANSLATION USING STATISTICAL MACHINE TRANSLATION APPROACH

GEBRELIBANOS, GEBREEGZIABHER (2020-03-20)

Machine translation is a field of linguistic study that uses to translate from one natural source language into another automatically using computer software. This research study considers using unsupervised segmentation ...

AUTOMATIC AWNGI TEXT NEWS CLASSIFICATION USING MACHINE LEARNING

MIKIYAS, ASSEFA KASSA (2023-07)

News is an event or an event that is actual or current. Events can be said to be news if they have been reported and broadcasted. Text news is a type of news in which it is in written form. These days, a large volume of ...

Browsing Faculty of Computing by Subject "Computer Science"

Browsing Faculty of Computing by Subject "Computer Science"

Search

Browse / Search

All of BDU IR

This Community

My Account