Recently added

Multi-Class Classification of Racism in Amharic Text Using Machine Learning

Abebe, Desie (2024-03-21)

Currently, the use of Facebook and Telegram social media platforms has become a prevalent method of communication worldwide. However, these platforms can attract both necessary and unnecessary interactions, and the anonymity, ...

FACE SPOOFING DETECTION USING GAN

YONAS, DEREJE (2023-06)

Biometric systems have been using widely. These systems are being used for user authentication and verification and have improved substantially. This is playing a key role in personal, national and global security. In ...

AUTOMATIC DETECTION AND FILTERING OF NEGATIVE EMOTION-BEARING CONTENTS FROM SOCIAL MEDIA IN AMHARIC USING SENTIMENT ANALYSIS AND DEEP LEARNING METHODS

Yonas, Bishaw Tsegaye (2023-06)

In the last four years, the ever-growing usage of social media in Ethiopia has fueled the country’s problem with the peaceful coexistence of its people. Illegitimate social media usage has played a big role in widening ...

DESIGNING BANK DISTRESS PREDICTION MODEL USING MACHINE LEARNING ALGORITHMS

TILAHUN, TADESSE TEKLU (2023-06)

The problem of bank distress in the World banking industry has been a major issue for all the stakeholders, investors in the economy, and also the business world at large. In order to tackle any ensuing conditions of ...

AMHARIC SENTIMENT MINING MODEL FOR OPINIONATED TEXTOF SOCIAL MEDIA USING MACHINE LEARNING

SISAY, HUNEGNAW (2023-07)

Natural language processing applications have an important role in our daily life, by enabling computers to understand human languages. NLP applications such as sentiment analysis, machine translation, question ansIring, ...

DESIGN A MODEL TO PREDICT CYBER ATTACKS USING MACHINE LEARNING APPROACH

Muhamed, Yegoraw Legesse (2023-06)

In this research study, a cyber-attack prediction model is proposed to address the limitations of existing methods. The primary problem being addressed is the urgent need for an accurate and efficient model to predict ...

ANOMALY DETECTION FOR THE INDUSTRIAL CONTROL SYSTEM: A HYBRID DEEP LEARNING APPROACH

MESERET, WODAJE TEBEJE (2023-10-25)

Industrial control systems (ICSs) are a complicated integrated system that provide people with services by coordinating numerous vital infrastructures. ICSs is a system that keeps control and manages the condition of ...

AUTOMATIC QUESTION GENERATION FROM AMHARIC SENTENCES USING A RULE-BASED APPROACH

MESRET, BEYENE ASCHALE (2023-02)

Question generation is part of Natural Language Processing. Students today have numerous challenges when preparing for exams. Professors and Teachers spend a lot of time and effort to make exams. The Automatic Question ...

Multi-modal Hate Speech Detection for Amharic using Deep Learning

Melese, Ayichlie (2023-07-22)

Social media facilitates communication and information sharing, but it also allows the spreading of hate speech. Identifying hate speech using textual data is widely studied. While many scholars study the identification ...

"PREDICTIVE MODELING FOR CREDIT SCORING AND COMPARATIVE DATA ANALYSIS USING MACHINE LEARNING METHODS FOR ETHIOPIAN BANK’S"

ESKINDER, ESHETU ABEBE (2023-07-20)

Credit scoring is a method used to assess a customer's reliability and repayment capacity. Currently, Ethiopian financial institutions rely on traditional loan assessment methods, which may lead banks approving risky ...

DESIGNING AND IMPLEMENTING MORPHOLOGY BASED SPELLCHECKER FOR GE’EZ LANGUAGE

ERGOYE, DESTAW TEGEGNE (2023-06)

Spellchecking is the process of detecting and providing closer suggestions for incorrectly spelled words with in a text. A spelling error can happen when people use text processing application to produce electronic ...

CONSTRUCTING A PREDICTION MODEL TO IDENTIFY EFFECTIVE FINANCE METHODS FOR CONSTRUCTION ENTERPRISES USING MACHINELEARNING

AYZENGAW, ADANE TELAY (2023-07)

Construction projects are managed by site managers who are well versed the project management knowledge areas. These construction managers are visionary, knowledgeableand know-it-alls about their profession. However, ...

Design Combination Encryption for Mobile Banking data security: The Case of Ethiopian Banks

ASAMN, ADMASU ASFAW (2023-07-07)

Many studies reveal that the number of people using the internet via mobile devices has been increasing significantly. Mobile banking is a mobile device-based service provided by a bank or other financial institution, ...

MULTI-LABEL CLASSIFICATION FOR OPTIONATED AMHARIC TEXTS USING DEEP LEARNING METHODS

ZAKIR, KASSA HASSEN (2023-02)

Text classification is a method for automatically assigning the best possible set of labels to a piece of text. Texts can be a highly rich source of information, but because they are unstructured, it can ...

Amharic Text-based Multi-label Emotion Classification on Social Media Comments using Deep learning

Yeshimebet, Bayu (2023-02)

A social media platform is an online platform that people use to develop social networks or relationships with others. Every day, millions of people use different social media to express ...

Image-based academic certificate documents forgery detection using deep learning approach

Tegbaru, Nibret (2023)

Digital image forensics (DIF) is produced by altering or modifying the original image with different techniques. Forged academic certificate documents are formed by copy-move, splicing, and resampling ...

Continuous Ethiopian Sign Language Recognition using CNN and Bidirectional LSTM

Shimels, Alem (2022-08)

Sign language is an independent language that conveys meaning through gestures and body language. People who have to use sign language to communicate with other people are often unable to communicate effectively with ...

Improving Quality of Service in AOMDV Routing Protocol Using Available Bandwidth and Buffer Size in MANET

Lake, Yersaw (2022-12-15)

A mobile ad hoc network (MANET) is a network with no infrastructure that has the following characteristics: node mobility, frequent topology changes, a lack of central coordination, and thus, On a MANET, each node ...

Deep-shallow framework-based feature extractor for classification of Human Bowel Obstruction (HBO) using Ensemble techniques

EMEBET, ABEJE MITIKU (2023-03-17)

A bowel obstruction is a serious ailment that develops when a causative agent obstructs either the small or the large intestines. If there is blockage of the bowel; there will not be gas passing and it slows down food ...

AN ENSEMBLE FEATURE EXTRACTION FOR HAIR BRAID RECOGNITION

ALEMWORK, MULAT (2023-03)

Ethiopia is the owner of different cultures; hair braiding is the most common culture where women braid in different celebrations, especially in the Amhara region. Those different hair braid ...

Recently added

thesis: Recent submissions

Search

Browse / Search

All of BDU IR

This Collection

My Account