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A TRUST BASED PRIORITY ADAPTIVE QUALITY OF SERVICE OPTIMIZATION TECHNIQUE FOR DYNAMIC SOURCE ROUTING PROTOCOL IN MOBILE AD HOC

Zelalem, Welelaw Getahun (2023-07)

The development of portable computing devices has raised the demand for Quality of Service in MANETs recently. The main objective of the routing protocol in these highly on demand services is to enable successful data ...

Minimizing Energy Consumption of Wireless Sensor Network by Improving Geographic Adaptive Fidelity Routing Protocol (GAF) Using Radio Energy Dissipation Model

YIBELTAL, FEREDE (2023-07-14)

WSN consists of nodes that are very difficult to replace by nature due to their physical placement in remote and inaccessible locations. These nodes are equipped with limited energy resources. When the nodes perform ...

DEVELOPING A KNOWLEDGE-BASED SYSTEM FOR DIAGNOSIS AND TREATMENT OF HIV/AIDS DISEASE USING RULE-BASED REASONING TECHNIQUE

Yibabie, Getenet (2023-06)

The study highlighted the persisting global health crisis of HIV/AIDS and the recent disruptions caused by economic and humanitarian crises along with the COVID-19 pandemic. These factors have troubled the established ...

Mobile phone data approach analysis of population mobility pattern: the case of Bahir Dar city

Wondwosen, Miheret (2023-06)

Studying and mapping population mobility pattern in the city dynamically plays a vital role and has practical applications to urban planning and to plan better transport system. For long times the city authorities used ...

An Interoperable Identity Management Framework (In the Case of Ethiopian e-government)

Tsehaye, Asress Tedla (2020-08)

Identity management and integrated technologies are the basic building blocks in the field of e-Government, as they constitute secure and reliable access to online services. The implementation of integrated identity ...

ANAPHORIC TERM CLASSIFICATION AND RESOLUTION MODEL FOR AMHARIC PRONOUNS: USING DEEP LEARNING TECHNIQUE

SIRAYE, MEKONNEN DAGNE (2023-06)

The existence of an anaphoric term in a text has an impact on different natural language processing studies like machine translation, semantics analysis, and sentiment analysis. This study use deep learning and a machine ...

OPTIMIZED DRIVER ACTIVITY DETECTION USING DEEP LEARNING

SHEWADIRES, MENAN KEMAL (2023-06)

Vehicle accidents are becoming a global public health concern, especially in Ethiopia. According to a World Health Organization report in 2015, Ethiopia is one of the 50 countries with the deadliest roads in the world. ...

AN ENSEMBLE OF VECTOR QUANTIZATION AND CNN FOR DIGITAL BASED TEXT INDEPENDENT AMHARIC LANGUAGE SPEAKER RECOGNITION

SEWUNET, ASMARE (2023-10)

Speaker recognition is the process of identifying the speaker based on the acquired voices. There are different studies conducted on speaker recognition systems for different languages using different techniques i.e. ...

DEVELOPING PREDICTIVE MODEL FOR HIV STATUS IN INDEX CASE TESTING AMONG CONTACTS USING MACHINE LEARNING

MITIKU, ZELEKE TAYE (2023-06-29)

Infection with the human immunodeficiency virus and acquired immunodeficiency syn drome (HIV/AIDS) continue to pose a threat to Amhara society. The number of people who are aware of their HIV status has increased thanks ...

DETECTION OF PHISHING WEBSITES USING A MACHINE LEARNING ALGORITHM

MEKIYAS, GELANEW GEDAMU (2023-06)

One of the most serious cyberattacks where investigators are concerned about a solution is phishing. Phishing is a technique used by attackers to entice end users and steal their private data. To obtain personal ...

DEVELOPING A PREDICTIVE MODEL FOR RAPE CRIME PREVENTION USING DATA MINING TECHNIQUES

GEDAM, ESUBALEW MITIKU (2023-11)

Rape is serious crimes that have a troubling impact on victims in particular and the society in general. It is very dynamic and flexible. It is also sensitive for social and political crises. Therefore, developing ...

GRID LOC: INDOOR LOCALIZATION BY USING BILSTM-SVM HYBRID ALGORITHM

BIRUH, ANDUALEM DEMELASH (2023-06)

Localization is a topic widely discussed in the field of networking. It can be classified into indoor and outdoor localization, with indoor localization being particularly significant for the development of smart cities. ...

Classification Model for Ethiopian Traditional Music Video Using Convolutional Neural Network

Birhanu, Belay Moges (2023-07-14)

In Ethiopia, there are several nations and ethnic groups which have their own language, culture, and custom. They play their traditional music and perform their own dance style, while traditional music is recorded as ...

DEVELOPMENT OF AN EXPLAINABLE HEART FAILURE PATIENTS SURVIVAL STATUS PREDICTION MODEL USING MACHINE LEARNING ALGORITHMS

Betimihirt, Getnet (2023-07)

Insufficient blood circulation throughout the body is referred to as heart failure. The heart normally becomes too weak or stiff to function properly when this occurs. Occasionally, congestive heart failure is used to ...

Performance Analysis of UMTS Cellular Network Using Antenna Orientation Based on Coverage and Capacity Using Machine Learning Algorithm

Awoke, Gerem Kassa (2023-05-18)

WCDMA (Wideband Code Division Multiplexing Access is a 3G broadband, packet based transmission of text, voice, video, and multimedia Services. it provides several bearer services, real-time and non-real-time services, ...

DEEP LEARNING-BASED BUSINESS INCOME TAX FRAUDDETECTIONMODE

ANEGAW, SISAY TESFAYE (2023-11)

The collection of tax is the mainsource of incomefor the government. Taxcollecting has been associated with a lot of fraud, which is a challenge to detect.Fraud involves one or more persons who intentionally act secretly ...

Entity Relation Extraction from Amharic Free Text using Deep Learning

Zelalem, Bekalu (2023-03)

Relation extraction is a very useful task for several natural language processing applications, such as automatic summarization, knowledge graph development and question answering. An entity relation defined as a ...

DETECTION OF COUNTERFEIT ETHIOPIA CURRENCY NOTES USING DEEP CONVOLUTIONAL NEURAL NETWORK

WULETAW, DESSIE AYELE (2023-02)

Counterfeit money refers to fake or imitation currency that is produced with the idea to deceive. The advancement of color printing technology has increased the rate of fake currency note printing and ...

HATE SPEECH IDENTIFICATION IN SOCIAL MEDIA USING SENTIMENT ANALYSIS FOR AMHARIC LANGUAGE

TEGEGN, SEYFE ASSEFA (2022-11)

Hate speech is a critical problem in Ethiopia and around the world and is disseminated using different social media platforms. In the world, as social media users increase, hate speech dissemination increases rapidly ...

DEVELOPING KNOWLEDGE BASED SYSTEM FOR COURT ADVISORY: IN CASES OF AMHARA REGION FAMILY LAW.

Selamawit, Mihret (2022-07)

Modern information and communication technology is revolutionizing how courts function, reducing backlogs by speeding up case resolutions and improving citizen access to trial proceedings and disposition. ...

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