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Fine-grained Bone Fracture Classification to Enhance Surgical Diagnosis and Medication

Dereje, Mulugeta (2024-10)

Human bones serve as protective structures for vital organs, and fractures represent either complete or partial breaks in these bones. This study aims to classify bone fractures to enhance surgical diagnosis and treatment. ...

CONSTRUCTING A MODEL FOR STROKE DISEASE TYPE IDENTIFICATION USING TRANSFER LEARNING

BIRARA, MAREW (2024-06)

Stroke is a leading cause of morbidity and mortality worldwide, necessitating prompt and precise diagnosis to facilitate effective treatment. This thesis presents a comprehensive study on the identification and classification ...

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, ...

AMHARIC SPEECH TO ETHIOPIAN SIGN LANGUAGE TRANSLATION

SELAMAWIT, BELAY (2025-06)

Ethiopian Sign Language (EthSL) is the primary means of communication for the deaf community in Ethiopia. The dearth of accessible tools that convert Amharic speech into EthSL, however, makes it difficult for hearing and ...

Virtual Machine Recommendation for Resource Utilization in the Cloud and Edge

Kidus, Fiker (2024-11-04)

ESTIMATING SOFTWARE MAINTENANCE COST USING MACHINE LEARNING ALGORITHMS

JEMMAL, AREGA (2024-11)

Software maintenance costs can represent up to 67% of total expenses in the Software Development Life Cycle (SDLC), often surpassing 50% across all phases. This highlights the importance of accurate cost estimation for ...

Enhancing Pediatric Healthcare Using the Integration of Software Framework and Machine Learning

ESHETIE, GASHAW YIGIZAW (2024-10)

In pediatrics, infectious disease is a subspecialty that addresses the diagnosis, prevention, and treatment of infections in children aged from birth to 21 years of age. Given their developing immune systems and frequent ...

SOFTWARE REQUIREMENTS - BASED SOFTWARE TESTING TECHNIQUE RECOMMENDATION USING MACHINE LEARNING ALGORITHMS

ELSHADIE, MEKONNEN AYELE (2024-11)

Software testing is a vital component in the software development lifecycle that ensures the final product's quality and stability. However, determining the best testing technique based on software requirements remains a ...

AUTOMATIC TEST CASE GENERATION FROM AMHARIC USE CASE DESCRIPTION USING A DEEP LEARNING ALGORITHM

BIRARA, CHANIE NGUSSIE (2024-07)

Software testing is important to find errors in the software. So, software testing from the beginning of the development process is needed. To test software, identifying test cases is the main activity. To find errors in ...

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 ...

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