• Investigating And Developing Lung Diseases Classification Model Using Ensemble Deep Learning Thesis 

  Mohammedhassen Abamecha; Getachew Mamo; Mamo Fideno (2024-03)

  Lung diseases, caused by the COVID-19 pandemic, pose a significant risk to millions of people. Chest X-ray imaging is widely used for diagnosing lung diseases, but accurate diagnosis remains challenging due to shortages ...
• Authentication And Classification Of Ethiopian Coffee Beans Using Deep Learning Approach. Thesis 

  Amanuel Bekele; Elsabet Wedajo; Mizanu Zelalem (2024-01-24)

  This research paper presents a comprehensive study on the authentication and classification of Ethiopian coffee beans using deep learning algorithms. The objective is to develop an accurate and reliable model for ...
• Integration of Feature Fusion Strategy on EfficientNet for Skin Cancer Detection and Classification Thesis 

  Moges, Seyfu; Jifara, Worku; Yimer, Dawud (2023-12-29)

  Skin cancer is a disorder that arises from changes in healthy skin cells that give them the ability to become malignant. Due to a rise in predominance over the past ten years, it is currently placed among the top ten ...
• Investigate a CNN Pre-Trained Model for Classifying the Stages of Tooth Cavity Disease Thesis 

  Yadeta, Adamu; Urgessa, Teklu; Endebu, Alemisa (2023-12-12)

  Dental cavity diseases are very common diseases and half of the world population suffers from it. Dental caries has been a common health issue throughout the world, which can even lead to dental pulp and root apical ...
• INVESTIGATION AND DEVELOPMENT OF BASIC AFAAN OROMOO GRAMMAR LEARNING CHATBOT USING DEEP LEARNING APPROACH Thesis 

  Befekadu, Meliel; Urgessa, Teklu; Assefa, Amanuel (2023-12-30)

  Artificial intelligence has several uses, one of which is chatbot technology. It is a computer program that allows human like conversation between users and computers or other communication devices using natural language. ...
• Hand Arthritis Disease Classification using Convolutional Neural Network Thesis 

  Bizunesh Mamo; Worku Jifara; Mizanu Zelalem (2023-08-11)

  The prevalence of arthritis is rising worldwide. Psoriatic arthritis, Rheumatoid arthritis and osteoarthritis are the most and frequently affecting arthritis joint chronic diseases. This arthritis disease causes pain, ...
• DEVELOPING AFAAN OROMO CHATBOT FOR HIV/AIDS PREVENTION AND CARE COUNSELING USING DEEP LEARNING APPROACHES Thesis 

  Chala Mitafa; Teklu Urgessa; Worku Birhanie (2023-06)

  Chatbots or conversational chatting machines are being built using Artificial Intelligence and machine learning approaches to solve the existing problems in the area of natural language processing. Advanced intelligent ...
• Image-Based Camel Skin Diseases Diagnosis Using Convolutional Neural Network Thesis 

  Husen Adem; Teklu Urgessa; Teferi Kebebew (2023-07)

  This study was conducted on image-based camel skin diseases using Neural Network. In developing countries such as Ethiopia, livestock plays a great role as socioeconomic assets. Among that livestock camel is the most ...
• Word sequence prediction for Afaan Oromo using Deep Learning Thesis 

  Ahmed Indris; Admasu. A; Tefery. K (2023-07)

  Word prediction is one of the most extensively utilized approaches for increasing the communication pace in augmentative and alternative communication. The following word prediction entails guessing the following words. ...
• Speaker-Dependent Speech Recognition For Kambaatissa Language: Using Hidden Markov Models (Hmms) Thesis 

  Senbetu Abebe; Getachew Mamo; Admas Abitew (2023-07-13)

  In today's technologically advanced world, speech recognition systems have gained significant importance in various applications. These systems are designed to convert spoken language into written text. Several speech ...
• Developing Personal Crime Prediction Model Using Machine Learning Approach Thesis 

  Adugna Teferra; Amanuel Ayde; Hailu Beshada (2023-07)

  Crime is an intentional and unintentional act that causes physical harm, mental harm, property damage, or loss. Personal crimes are the type of crime against a person; it is a crime that is directed at an individual ...
• Developing A Predictive Model For Divorce Of Married Couples By Employing A Machine Learning Approach Thesis 

  Hadira Hasen; Amanuel Ayde; Zerihun Olana (2023-06)

  The aim of this study is developing a predictive model for divorce of couples by employing a machine learning approach and ensemble learning techniques. Within the scope of this study, prediction was carried out by ...
• Developing a Stemmer for Dawurootsuwa Language Using a Rule-Based Approach Thesis 

  Habtamu Dubale; Getachew Mamo; Zerihun Olana (2023-06)

  Stemmer is typically used as a standalone module in the architecture of NLP systems. It is particularly important for the development of search engines, MT, speech recognition, text categorization, IE, and text ...
• Automatic Detection of Pulmonary Tuberculosis with MobileNet and Entropy-Based Feature Fusion Strategy Thesis 

  Israel Wondimu; Worku Jifara; Admas Abtew (2023-07)

  The mycobacterium tuberculosis causes the chronic necrotizing disease known as tuberculosis. Complex pulmonary tuberculosis is a bacterial infection brought on by the easily airborne Mycobacterium TB. The primary ...
• Afaan Oromo News Stance Detection using Machine Learning and Deep Learning Approach Thesis 

  Fikadu, Tadese; Urgessa, Teklu; Zellalem, Mizanu (2022-12-12)

  Nowadays in the age of technology, a tremendous amount of data is being generated online and offline every day. Likewise, so many people today are sticking to the internet using telecommunications equipment to keep up ...
• Ontology-based Diagnosis and Recommendation Model for Common Mental Disorders Thesis 

  Meketa, Abebayehu; Jifara, Worku; Kebebew, Teferi (2023-01-12)

  In the developing world, there is a high prevalence of common mental disorder such schizophrenia, generalized anxiety disorders, generalized depressive and other related disorders. We have created an ontology-based ...
• Summarizing Sentiment From Social Media Discourses Given In SportDomain Using Machine Learning Thesis 

  Negash, Rehima; Urgesa, Tekilu; Hilu, Hilu (2022-09-23)

  The sentiment discourse (i.e. responses and replay) on the social media such as, Facebook, Twitter, YouTube, Forums, etc., forms the outbreaks of ample of opinionated thread chains.To drive a complete message, from ...
• Ethiopian Fake Note Currency Detection Using Deep Learning Approach Thesis 

  TEKA, GETACHEW; ABTEW, ADMAS; ZELALEM, MIZANU (2022-06-14)

  Ethiopian Government has introduced new currency notes to fight organized crimes and counterfeiting on September 2020. The currency notes have got a complete new feature including color changes. It is also believed ...
• Detection And Classification Of Offensive Nuances Of Afaan Oromo Text On Social Media Using Supervised Machine Learning Approach Thesis 

  Dejene Wakuma; Getachew Mamo; Hailu Beshada (2022-07)

  Users of social media can share and consume information freely. This opportunity leads them to disseminate toxic information which we can call offensive language. In a country like Ethiopia where multi nations and ...
• Afaan Oromo News Text Classification Using A Deep Learning Approach Thesis 

  Lalisa Tadesa; Getachew Mamo; Amanuel Asseffa (2022-06)

  Today development of the internet has made Afaan Oromo texts easily available and widespread online. Along with the ever-increasing volume of information resources, there is an increasing interest in better solutions ...

View more