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Developing A Self-Learning Expert System For Respiratory Diseases Diagnosis And Treatment Thesis

Tamirat Gelana; Amanuel Ayde; Muktar Bedaso (2024-06)

Globally, there is a significant health burden associated with respiratory diseases for instance, Chronic obstructive pulmonary disease (COPD) affects over 200 million individuals, asthma impacts 235 million people, ...

Wheat Disease Identification: A Multi-Modal Approach using Deep Learning Thesis

Abdurezak Yisihak; Getachew Mamo; Tesfu Mekonen (2024-06)

Wheat, as a global staple crop, is vital for food security, yet it remains highly susceptible to various diseases that threaten its yield. Traditional methods of disease identification, which largely rely on visual ...

Machine Learning Based Energy-Efficient Uav- Assisted Emergency Wireless Communication For Information Collection In Post Disaster Area Thesis

Mohammed Yesuf; Esmeal Kedir; Yekoye (2023-10)

Over the past few years, with the rapid increase in the number of natural disasters, the need to provide smart emergency wireless communication services to collect victim`s information has become crucial. Unmanned aerial ...

Sentiment Analysis for Afaan Oromo Sentence Classification using deep learning Approaches Thesis

Assefa Nemera; Getachew Mamo; Dawud Yimer (2024-06)

Sentiment analysis has recently become one of the growing research fields related to natural language processing and machine learning. An opinion can be positive, negative, or neutral, it depends on each individual's ...

Amharic Text To Image Generation Model Using Conditional Generative Adversarial Network Thesis

Getnet Zeru; Amanuel Ayde; Elsabet Wedajo (2024-06)

Amharic text-to-image generation model using a conditional generative adversarial network (CGAN) is a novel concept that can be made possible by advances in deep learning. The aim of this study is to develop a model ...

Afaan Oromo Large Vocabulary Continuous Speech Recognition Model Thesis

ABDISA, GELANA; MAMO, GETACHEW; TAKELE, HABTAMU (2024-06-17)

Automatic Speech recognition(ASR) is a system that translates spoken language into written text. The purpose of this study was to develop an Afaan Oromo speech-to-text recognition model using Speech Transformer, a ...

VANET Performance Improvement by Range Extending Agent and Stable Clustering Thesis

Zeberga, Girma Gebresenbet; Keder, Esmael; Minale, Alehegn (2023-09-17)

Vehicular ad-hoc networks (VANETs) technology has emerged as an important research area over the last few years it is part of Mobile Ad-hoc Networks (MANET) that facilitates communication between groups of vehicles and ...

Sinkhole Attack Detection in Cluster-Based Wireless Sensor Network Thesis

Neyima Abdulkadir; Esmael Kadir; Kasech Tsegaye (2024-02-12)

Cluster based wireless sensor network have different sensor nodes with different roles. Wireless sensor network based on node clustering techniques is used to partition WSNs into cluster, which helps to save energy ...

Developing P2P Botnet Detection Model Using Deep Learning Approach Thesis

Abigya Befikadu; Fisseha Bayu; Berhanu Megerssa (2023-12)

Botnets are a global problem, and effective botnet detection requires cooperation of large Internet Service Providers, allowing near global visibility of traffic that can be exploited to detect them. This study introduces ...

Fetal Health State Classification, Based On Partograph Records Using Machine Learning Approaches: The Case Of Mizan Tepi University Teaching Hospital Thesis

Nigat Gebeyehu; Worku Jimma; Obsa Amenu (2023-12)

Fetal health is a significant public health concern, and monitoring it is crucial for mothers to ensure a healthy baby. In Ethiopia, a partograph is used during delivery to monitor labor conditions, maternal health, ...

Developing a Cervical Cancer Risk Assessment and Prediction Model Using Multimodal Learning Based on Patient Card Sheet and Microscopic Image. Thesis

Kelebet Chane; Geletaw Sahle; Muktar Bedaso (2023-12)

Cervical cancer is the most common cancer and the leading cause of cancer mortality among females worldwide. It is the second most common and second most deadly cancer in Ethiopia. The growth rate of cervical cancer in ...

Investigating the Status of Open Data Utilization and the Effect of Data-driven decision making on Improving Education Quality in Selected Higher Education Institutions in Ethiopia Thesis

Hailu, Hana; Jimma, Worku; Santure, Abu (2023-12-12)

Open data and data-driven decision-making have potential value as material for use in learning activities. However, approaches to harnessing this are not well understood or in mainstream use in education. In this ...

Design the Mechanism of Detecting and Isolating Black Hole Attacks in AODV Routing Protocol of MANETs. Thesis

Gemechu Robe; Fissha Bayu; Sofanit Alemu (2023-12)

The main goal of mobile ad hoc network (MANET) is the networking model to interconnect communicating devices in single or multi-hop without requiring any prior infrastructure and administrative support. These communication ...

Developing Covid-19 Patients Nutrition Assistance Chatbot System Thesis

Hayalneh Haile; Amanuel Ayde; Takele Tadesse (2023)

Covid-19 has touched almost all of the world’s population lives and still a lot of people are being affected throughout the world including our country Ethiopia. Chatbot systems are becoming an emerging technology and ...

Dry Eye Disease Classification Using Vision Transformer Deep Learning Technique Thesis

Takele, Habtamu; Sahle, Geletaw; Yigzaw, Netsanet (2023-11-17)

Eye disease is any condition or disorder that affects the eyes or the visual system, and dry eye disease (DED) is one of the most common conditions affecting millions worldwide. DED is a prevalent ocular condition ...

Detection and Identification of Harassment and Hate Speech on Social Media Based on Protected Characteristics for the Afaan Oromo Language Using Deep Learning. Thesis

G/EYESUS, ASMELASH; Sahle, Geletaw; Mitiku, Hambisa (2023-12-12)

Social media today affects a nation's social, political, and economic facets in both positive and negative ways. Positive effects include the facilitation of digital opinion exchanges and the rapid and broad dissemination ...

Energy Efficient Optimal Cluster Head Selection for Wireless Sensor Network By: Fetiya Mohammed (BSc.) Thesis

Fetiya Mohammed; Kebebew Ababu; Nahil Kebede (2023-07)

Making efficient use of the battery became an important task for extending the WSN lifetime and minimizing energy conception. A greater number of routing protocols for better data routing in Wireless Sensor Networks ...

Smartphone based detection and classification of poultry diseases from chicken fecal images using deep learning techniques Article

Degu, Mizanu Zelalem; Simegn, Gizeaddis Lamesgin (2023-03-24)

Human demand for animal products is increasing, forcing the agricultural industry, particularly poultry farming, to increase the quantity of its output. Increased poultry farming can lead to increased transmission of ...

Human Skin Fungal Diseases Classification Using Deep Learning Technique Thesis

Tsedenya Debebe; Tilahun Melake; Zerihun Olana (2021-12)

The skin is our body's outermost layer. It has a lot of different functions. Since it is the outer covering of the whole body part that acts as a barrier, protecting our body from harmful things in the outside world ...

Named Entity Recognition And Disambiguation System For Afaan Oromo Using Supervised Approach Thesis

Mamo Fideno; Getachew Mamo; Kula Kekeba (2021-02)

In this research, End to End Named Entity Recognition and Disambiguation problem is addressed by employing a supervised machine learning approach. Feature extraction algorithm had developed; avoiding dependency of Named ...

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