Browsing Computer Science by Title

Browsing Computer Science by Title

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  • AFAAN OROMO GRAMMAR CHECKER USING HYBRID APPROACH 
    TAJIR AMIN ALI; Teklu Urgeessa (PhD); Elias Debelo (Haramaya University, 2023-08)
    A grammar checker is one of the basic NLP applications used to check whether sentences are grammatically correct or not. To solve the Afaan Oromo grammar error problem, an Afaan Oromo grammar checker using a hybrid ...
  • AMHARIC ANAPHORA RESOLUTION USING MACHINE LEARNING APPROACH: THE CASE OF INDEPENDENT AND HIDDEN ANAPHORA RESOLUTION 
    KEDIR MOHAMMED TIGABU; Wondwossen Mulugeta (PhD); Elias Debelo (MSc) (Haramaya University, 2023-03)
    Anaphora resolution is a fundamental task in natural language processing that involves identifying the antecedent of an anaphoric expression in a text. The task is critical for several NLP applications, such as machine ...
  • AUTOMATIC ANAPHORA RESOLUTION FOR AFAAN OROMOO LANGUAGE 
    Elias Debelo; Dr. Wondwossen Mulugeta (Haramaya University, 2019-08)
    Anaphora Resolution is a process of finding an entity introduced earlier in the discourse referred to by current entity back in discourse. The referenced entity is called antecedent, of referring entity which is called ...
  • AUTOMATIC ANAPHORA RESOLUTION FOR AFAAN OROMOO LANGUAGE 
    Elias Debelo; Dr. Wondwossen Mulugeta; Akubazgi Gebremariam (Haramaya University, 2019-08)
    Anaphora Resolution is a process of finding an entity introduced earlier in the discourse referred to by current entity back in discourse. The referenced entity is called antecedent, of referring entity which is called ...
  • BIDIRECTIONAL AFAAN OROMOO – AMHARIC MACHINE TRANSLATION USING A HYBRID APPROACH 
    Nuradin Yusuf; (PhD) Kula Kekeba; (MSc) Muluken Hussen (Haramaya University, 2023-03)
    Machine translation (MT) is an automatic translation from one natural language to another by a computer, without human involvement. The problem of accurately translating complex and context-dependent sentences between ...
  • A DEEP LEARNING APPROACH FOR CLASSIFICATION OF SIX CASES OF CHEST X-RAYS 
    Suleiman Mohamed Abdi; Wondwossen Mulugeta (Ph.D); Faizur Rashid (Ph.D) (Haramaya University, 2024-11)
    Artificial Intelligence (AI), particularly deep learning, is transforming healthcare by enabling automated analysis and diagnosis from medical images, addressing critical challenges such as the shortage of radiologists ...
  • DEEP LEARNING BASED AFAAN OROMO-AMHARIC MACHINE TRANSLATION 
    Araba Aman Said; Teklu Urgessa PHD (Haramaya University, 2022-12)
    Machine translation is the process of translating text from one human languages to others languages using computer. It has gained much attention currently. There are many approaches available for Machine translation used ...
  • ETHIOPIAN LICENSE PLATE CHARACTER RECOGNITION USING MACHINE LEARNING 
    ABDULHAMID MEHAMMED; Faizur Reshid (Ph.D.); Tadesse Kebede (MSc) (Haramaya University, 2023-03)
    Intelligent Transport Systems (ITS) rely on license plate detection and recognition (LPDR) systems. LPDR systems are used in surveillance systems such as traffic monitoring, border control, highway toll booths, and ...
  • EXTRACTIVE AMHARIC TEXT SUMMARIZATION USING LATENT DIRICHLET ALLOCATION 
    Redi, Abdurehman; Assabie, (PhD) Yaregal; Hussen, (MSc) Muluken (Haramaya university, 2020-09)
    Automatic text summarization is paramount in this information age, where societies engendered a massive quantity of information for utilization. This fact remains true for Ethiopia; the country has suffered expeditious ...
  • FABA BEAN LEAF DISEASE CLASSIFICATION USING DEEP CONVOLUTIONAL NEURAL NETWORK 
    Getaneh, Biruk (Haramaya University, 2021-06)
    Faba Bean is among a crucial crop for countries like Ethiopia due to its high protein content and high rate of production. It also improves soil fertility with the help of bacteria that forms nodules on its root. ...
  • FACTORS AFFECTING TEACHERS’ IMPLEMENTATION OF COMMUNICATIVE LANGUAGE TEACHING IN BEDENO PREPARATORY SCHOOL 
    Bogale, Afewerk; Taddese, (Dr.) Dereje; Woliyie Hussien, (PRO.) Jeylan (Haramaya university, 2021-06)
    The purpose of this study was to investigate the factors affecting teachers‟ implementation of Communicative language teaching in Bedeno Secondary School. Qualitative research design was used as it enabled the researcher ...
  • A FRAMEWORK FOR HEALTH INFORMATION SHARING AND PRIVACY PRESERVATION USING INFORMATION HIDING AND DIFFERENTIAL PRIVACY. 
    Abrahim Abdo; (Ph.D.) Faizur Rashid (Haramaya University, 2023-08)
    Health information exchanges (HIEs) are an important part of the healthcare system. The World Health Organization emphasizes the importance of security standards in managing personal health data, as privacy concerns ...
  • HYBRID IMAGE COMPRESSION BASED ON FEATURES IMPORTANCE USING GAN 
    Abdisa Abdella Seid; Rashid, (PhD) Faizur; Hussein, (MSc) Muluken (Haramaya University, 2024-04)
    Hybrid image compression techniques are the one to be used to compress and decompress the sensitive information without losing data, non-sensitive information with losing some information and completely removing the ...
  • A HYBRID MACHINE TRANSLATION SYSTEM FOR ENGLISH TO WOLAYTTA LANGUAGE 
    : Kidanemariam Firew Salalo; Yaregal Assabie (Ph.D.); Tadesse Kebede (M.Sc.) (Haramaya University, 2021-11)
    The process of converting different documents from one natural language to another natural language by using the language and capability of a computer is a promising point of MT. MT is one of the basic tasks under ...
  • A MACHINE LEARNING APPROACH TO MULTI SCALE SENTIMENT ANALYSIS OF TIGRIGNA ONLINE POSTS 
    Samuel, Hagazi; Assabie, (Ph.D.) Yaregal; Gebremariam, (MSc) Akubazgi (Haramaya university, 2021-09)
    With the rapid growth of web technologies, individuals and organizations are increasingly using public opinions in blogs, forums, review sites, social networks, etc. for expressing their views and opinions. These reviews ...
  • MACHINE LEARNING BASED MULTI-SCALE SENTIMENT ANALYSIS FOR AFAAN OROMO POSTS 
    kebede, Tadesse; mulugeta, Wondwossen (PhD) (Haramaya university, 2019-08)
    In daily decision-making activities, individuals or organizations regularly take other people’s sentiments or opinions as one source of information. To be more precise about the opinion of the people, it is crucial to ...
  • MACHINE LEARNING BASED MULTI-SCALE SENTIMENT ANALYSIS FOR AFAAN OROMO POSTS 
    Kebede, Tadesse (Haramaya university, 2019-08)
    In daily decision-making activities, individuals or organizations regularly take other people’s sentiments or opinions as one source of information. To be more precise about the opinion of the people, it is crucial to ...
  • MACHINE LEARNING BASED SEMANTIC ROLE LABELING FOR AFAAN OROMOO TEXTS 
    Kebeda, Firomsa; Kekeba, Dr. Kula; Delesa, (Ph.D) Tamrat (Haramaya university, 2021-06)
    Semantic Role Labeler (SRL) is the one of the task in Natural Language Processing, which identifies semantic arguments of predicates and labels them with their semantic role in a given sentence. Different researches ...
  • MACHINE LEARNING-BASED PREDICTION OF UNDER-FIVEMORTALITY USING HEALTH,SOCIO-DEMOGRAPHIC,ANDCLIMATE DATA 
    Feyisa Abebe; Abebe Belay Adege (PhD); Mr. Tadesse Kebede (Haramaya University, 2025-04)
    Health is a state of full well-being and a cornerstone of international development, withconsiderable investments made over the last three decades to reduce morbidity and mortality. Under-five mortality, which is generally ...
  • PHRASE BASED AUTOMATIC AFAAN OROMO NEWS TEXT CLASSIFICATION: A MACHINE LEARNING APPROACH 
    Bekele Lemm, Meseret; Mulugeta, (PhD) Wondwossen; G/Michael, MSc) Kibru (Haramaya university, 2021-06)
    Text classification is the assignment of text documents to one or more predefined classes based on their content and topic. The classification is usually done on the basis of significant phrases or features extracted ...

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