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Classification of Cattle skin Disease using Deep Learning approach. Thesis

Samuel Gedefa; Getachew Mamo; Zerihun Olana (2023-09)

Cattle skin diseases are particular kinds of diseases caused by tumors, allergies, parasites, autoimmune; bacteria infectious, and viral diseases and many cattle skin diseases are very dangerous, mostly if not treated ...

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 ...

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