• DESIGNING NEXT PHRASE PREDICTION MODEL FOR AMHARIC LANGUAGE USING DEEP LEARNING TECHNIQUES 

  WELELA, AMESALU (2024-02)

  Text entry is an essential aspect of human-computer interaction and can be performed through a keyboard, which mostly contains English letters. Typing Amharic text on a computer system may pose challenges like decreased ...
• AUTHENTICATING HOLY PICTURES USING DEEP LEARNING 

  Temesgen, Muche (2024-06)

  The classification of holy pictures, particularly within the Ethiopian Orthodox Tewahedo Church (EOTC), presents a significant challenge due to the diverse cultural influences and intricate historical backgrounds shaping ...
• Hate Speech Detection for Facebook Amharic Text Data Using Machine Learning 

  TEGEGNE, YEMATA (2024)
• Develop a Prediction Model for the Educational Opportunity of Orphans and Vulnerable Children in Bahir Dar City Using Machine Learning Approach 

  Selam, Simeneh Anagaw (2024-06-10)
• STUDENT ACADEMIC PERFORMANCE PREDICTION USING MACHINE LEARNING ALGORITHMS 

  FANTA, RAHEL (2025-01)

  Education plays a crucial role in shaping a country‟s development, with educational institutions striving to create quality learning environments that enhance student performance. However, predicting student performance ...
• AMHARIC BI-MODAL QUESTION GENERATION FOR ETHIOPIAN CULTURAL SOCIAL MEDIA CONTENT 

  LIYUSEW, AGYE (2024-10)

  The rapid growth of social media has transformed cultural content sharing and engagement in Ethiopia, yet much content lacks interactivity, resulting in low user engagement and shallow cultural appreciation. Ethiopian ...
• CROP PRODUCTION AND FERTILIZER RECOMMENDATION MODEL USING MACHINE LEARNING APPROACH 

  LEUL, MEKONNEN YITAYEW (2024-10-10)

  This research investigates the development of a machine learning-based model for crop production and fertilizer recommendations aimed at enhancing agricultural productivity in North Mecha Woreda, Ethiopia. Recognizing ...
• MULTI-LABEL RHETORICAL ROLE IDENTIFICATION OF AMHARIC LEGAL JUDGMENT DOCUMENTS USING MACHINE LEARNING TECHNIQUE 

  HANNA, WALELIGN KEBEDE (2024-10)

  Identifying rhetorical roles in legal judgment documents is essential for understanding their structure and content, but the lack of clear headings, poor organization, and complexity of the document make manual analysis ...
• MULTI-CHANNEL CAPSULE NETWORK WITH COMPUTER VISION FOR DETERMINATION OF GEOGRAPHICAL ORIGIN OF ETHIOPIAN TEFF 

  HABTAMU, AYALEW (2024-08-28)

  Agriculture plays a key role in the food security and economic development of developing countries, including Ethiopia. However, accurately identifying the geographical origin of agricultural products, such as Teff, can ...
• Developing an Explainable Model for Early Detection of Malaria Outbreaks Using Machine Learning Approach with Hyperparameter Optimization 

  Girma, Moges Ayenew (2024-07)

  Malaria is a global health challenge causing infections and deaths. It continues to be one of the leading communicable causes of death worldwide. Currently studying malaria often rely on basic surveillance system which ...

• DESIGNING NEXT PHRASE PREDICTION MODEL FOR AMHARIC LANGUAGE USING DEEP LEARNING TECHNIQUES 

  WELELA, AMESALU (2024-02)

  Text entry is an essential aspect of human-computer interaction and can be performed through a keyboard, which mostly contains English letters. Typing Amharic text on a computer system may pose challenges like decreased ...
• AUTHENTICATING HOLY PICTURES USING DEEP LEARNING 

  Temesgen, Muche (2024-06)

  The classification of holy pictures, particularly within the Ethiopian Orthodox Tewahedo Church (EOTC), presents a significant challenge due to the diverse cultural influences and intricate historical backgrounds shaping ...
• Hate Speech Detection for Facebook Amharic Text Data Using Machine Learning 

  TEGEGNE, YEMATA (2024)
• Develop a Prediction Model for the Educational Opportunity of Orphans and Vulnerable Children in Bahir Dar City Using Machine Learning Approach 

  Selam, Simeneh Anagaw (2024-06-10)
• STUDENT ACADEMIC PERFORMANCE PREDICTION USING MACHINE LEARNING ALGORITHMS 

  FANTA, RAHEL (2025-01)

  Education plays a crucial role in shaping a country‟s development, with educational institutions striving to create quality learning environments that enhance student performance. However, predicting student performance ...
• AMHARIC BI-MODAL QUESTION GENERATION FOR ETHIOPIAN CULTURAL SOCIAL MEDIA CONTENT 

  LIYUSEW, AGYE (2024-10)

  The rapid growth of social media has transformed cultural content sharing and engagement in Ethiopia, yet much content lacks interactivity, resulting in low user engagement and shallow cultural appreciation. Ethiopian ...
• CROP PRODUCTION AND FERTILIZER RECOMMENDATION MODEL USING MACHINE LEARNING APPROACH 

  LEUL, MEKONNEN YITAYEW (2024-10-10)

  This research investigates the development of a machine learning-based model for crop production and fertilizer recommendations aimed at enhancing agricultural productivity in North Mecha Woreda, Ethiopia. Recognizing ...
• MULTI-LABEL RHETORICAL ROLE IDENTIFICATION OF AMHARIC LEGAL JUDGMENT DOCUMENTS USING MACHINE LEARNING TECHNIQUE 

  HANNA, WALELIGN KEBEDE (2024-10)

  Identifying rhetorical roles in legal judgment documents is essential for understanding their structure and content, but the lack of clear headings, poor organization, and complexity of the document make manual analysis ...
• MULTI-CHANNEL CAPSULE NETWORK WITH COMPUTER VISION FOR DETERMINATION OF GEOGRAPHICAL ORIGIN OF ETHIOPIAN TEFF 

  HABTAMU, AYALEW (2024-08-28)

  Agriculture plays a key role in the food security and economic development of developing countries, including Ethiopia. However, accurately identifying the geographical origin of agricultural products, such as Teff, can ...
• Developing an Explainable Model for Early Detection of Malaria Outbreaks Using Machine Learning Approach with Hyperparameter Optimization 

  Girma, Moges Ayenew (2024-07)

  Malaria is a global health challenge causing infections and deaths. It continues to be one of the leading communicable causes of death worldwide. Currently studying malaria often rely on basic surveillance system which ...
• AVOCADO FRUIT QUALITY GRADING USING DEEP CNN APPROACH 

  Etsubdink, Abie (2024-10)

  Ethiopia is among the top 10 avocado-growing countries. Nowadays, avocados are becoming increasingly popular among producers and consumers in Ethiopia. Recently as reported by Ethiopia's Agricultural Transformation Agency ...
• BANANA DISEASE CLASSIFICATION MODEL USING DEEP LEARNING 

  ESHETU, SILU TEGEGNE (2024-06)

  Bananas are the most important and extensively consumed fruit in the world, and they are vital to the economies of many nations. On the other hand, a number of illnesses can seriously impair the quantity and quality of ...
• TRAFFIC SIGN CLASSIFICATION USING DEEP LEARNING TECHINIQEUS 

  BINIYAM, WORKNEH ABERA (2024-09)

  In today's world, the number of vehicles is rising globally at a rapid pace, and road accidents are also increasing correspondingly. In Ethiopia, traffic accidents are becoming increasingly severe and alarming. In this ...
• DESIGNING A HYBRID COVERAGE ENHANCEMENT ALGORITHM FOR WSNS 

  ABEBAW, MULAT (2024-10)

  Wireless sensor networks (WSNs) play a crucial role in a wide range of applications, including environmental monitoring and industrial automation. Enhancing coverage is one of the biggest challenges with in WSNs deployment. The ...
• POTATO SEED DISEASE IDENTIFICATION MODEL USING DEEP CONVENTIONAL NEURAL NETWORK APPROCH 

  GETU, GASHAW TEGEGNE (2021-08-20)

  Potato is among one of income-generating crop grown in Ethiopia, especially in North west Amara regions. Selecting and planting clean and uninfected potato seed is an important activity before distributing and planting. ...
• Model Development for Dam Safety Monitoring using Wireless Sensor Network 

  Derese, Wudu Mekonen (2020-10-01)

  Sensor based modeling pertinent to automate dam safety and end control system. Many dams’ uses for irrigation, hydroelectric power, and other purposes for human beings these are needed to be efficient and effective for ...
• IDENTIFICATION OF NONFUNCTIONAL REQUIREMENT CONFLICTS: MACHINE LEARNING APPROACH THESIS 

  GETASEW, ABEBA (2021-07)

  The interaction between requirements that can result in a bad or undesirable output of the system is known as requirement conflict. The most common causes of software failure in system development are requirements issues. ...
• Amharic Phrase Level Sign Language Recognition Using Deep Learning 

  Teferi, Girma Messele (2021-07)

  Sign language is communication between hearing-impaired with hearing-impaired and hearing-impaired with normal people. It is also a way to communicate using hand and face gestures of phrases, words, or letters and it is a ...
• Customer Clustering for a Mobile Telecommunications Company Based on Call Detail Records 

  Surafel, Getahun (2021-04)

  Telecommunications companies collect and store enormous amounts of data, including call detail data, network data, and customer data. Nowadays, most telecom companies with poor clustering have a difficult time delivering ...
• CONSTRUCTING PREDICTIVE MODEL FOR TAX CLAIM FRAUD DETECTION USING DATA MINING TECHNIQUES: THE CASE OF AMHARA REVENUE AUTHORITY 

  Asmero, Lakiyaw (2021-06-17)

  Revenues are vital sources of public infrastructure. The presence of collective consumption of properties and facilities necessitates putting some of our income into government hands. Nevertheless, gathering of tax is the ...

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