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Fuzzy Logic based Cluster Head selection by enhancing Aggregated Relative Velocity in VANET Thesis

TELELE, LEALEM; Ababu, Kebebew; Birehan, werku (2022-11-24)

Vehicular Ad hoc Network is one of major area in the technology of Mobile Ad hoc Network. Making a vehicular network more robust and scalable is one of main issues in Vehicular Ad hoc Network. Since vehicles are high ...

Disseminating Fair Emergency Messages to Prevent Broadcast Storms by Selecting a Relay Node at a Cross-Sectional Road in VANETS Thesis

Huluka, Nega Firdissa; Adere, Ketema; Darajew, Temesgen (2022-12-24)

Vehicular ad-hoc networks are ad hoc network that takes vehicles as communicating node which enables frequent topological change and link disconnectivity concerning other ad hoc networks. They are network-connected ...

Enhancement in AOMDV Routing Protocol to Overcome Congestion Problem in MANET Thesis

Merga, Misgana; Adere, Ketema; Sisay, Samuel (2022-11-24)

The congested node uses the routing protocol to broadcast itself as having the shortest route to the node whose packet it wants to source node since the MANET has no authorized system. Due to the disruption of the ...

Wormhole Attacks Detection in Wireless Sensor Networks by Analyzing Transmission range and Residual Energy of Nodes Thesis

Hussen, Kemal; Bayu, Fisseha; Kebede, Nahil (2022-12-04)

Wireless Sensor Networks have made significant progress and have emerged as an important study topic in wireless and distributed networks. Wireless sensor networks (WSN) are made up of a large number of tiny and ...

HATE SPEECH AND OFFENSIVE LANGUAGE DETECTION FOR AFAAN OROMO FACEBOOK POSTS AND COMMENTS USING RNN. Thesis

WORKU, DIRIBA GIRMA; Mamo, Getachew; Guadie, Abaynew (2022-06-18)

Social media is changing the face of communication and culture in society around the world. People share their information, feelings, and emotions by using social media platform like Facebook. As social media users ...

Neural Word Embedding Approach to Resolve Semantic Ambiguities for Amharic Language Thesis

Alemu, Habtamu (2022-06-18)

The ambiguity problem in a natural language is a common problem, that it needs to be solved to get the exact context or meaning of the sentence intended to be specified. Humans are naturally adept at word sense ...

Congestion Control in Vehicular Ad-hoc Network by Adapting Transmission Power with Vehicle Density and Speed Thesis

Regasa Batu, Diriba; Ababu, Kebebew; Minale, Alehegn (2022-12-08)

In a VANET vehicles communicating with each other and infrastructure is the basis of the future of vehicular transportation. There are several applications of a VANET. The most important application in VANETs is safety ...

Automatic Amharic Question Generation System Using Recurrent Neural Network Article

Bogale, Alelign Mekonen; Mamo, Getachew; Guadie, Abaynew (2022-06-12)

A question is a linguistic term that is used to make a request for information and is essentially posed in order to meet informational needs. These days electronic documents written in different languages are available ...

Reducing the impact of network latency in cloud computing environment using energy consumption load balance scheduling mechanism Article

Hailu, Ashenafi; Kedir, Ismael; Kitaw, Bekan (2022-12-12)

Cloud Computing is one of the modern technologies in which the research Society has shown their interest. In this thesis, we have discussed about Latencies and what are the impacts of latencies on the Cloud Computing ...

Developing A Knowledge-Based System for Diagnosis and Treatment of Urinary Tract Infection Using Data Mining Article

OLIKA, SENAYIT; AYDE, AMANUEL; BEDASO, MUKTAR (2022-06-03)

Urinary tract infection is a common health problem that described by the existence of microbial pathogens in any part of the urinary tract including the kidneys, ureters, bladder, or urethra. Urinary tract infection is ...

Afaan Oromoo Dependency Parser Using RNN Thesis

Mendasa Tesfa; Getachew Mamo; Mizanu Zelalem (2022-06)

Dependency parsing is an act of extracting the relations among the words or morphemes using dependency type to resolve ambiguities among the head and its modifiers. Humans use facial expressions, tone of speech, body ...

Multi-Class Subjectivity Detection And Sentiment Analysis Using Machine Learning Approach: A Case Study On Amharic Social Media Posts On Covid-19 Thesis

Meti Bekele; Kula Kekeba; Mamo Fideno (2022-06)

Nowadays the growth of internet technology and smartphones help people to liberally express their idea about health issues, governmental policies and services, political campaigns, business and product companies, and ...

Event Extraction from Unstructured Afan Oromo Text Using Deep Learning Approach Thesis

Motuma Hika; Getachew Mamo; Alemisa Endebu (2022-06)

Afan Oromo event extraction is to detect event instance(s) in texts, and if existing, identify the event as well as all of its participants and attributes. Event extraction is a challenging task in information extraction. ...

Designing and Implementing Amharic Text Based Virtual Maternity Assistant Chatbot Using Ensemble Learning Models Thesis

Eyayu Nigatu; Getachew Mamo; Samuel Daba (2022-06)

The healthcare sector is closely associated with human interaction, and it seems that counterintuitive conversational AI applications like Chatbots are more prevalent. There are some established maternal health care ...

Developing Prototype Of Case-Based Reasoning System For Personalized Medical Care For Patients With Diabetes Mellitus Type 2 Thesis

Milkesa Dejene; Worku Jimma; Solomon Alemu (2022-06)

Personalized medical care is an individualized approach to the management and treatment of diseases in the health care system. It follows the personalized medicine concept and has received a great deal of recent attention ...

Developing Knowledge Based System For Blood Donation And Transfusion Using Data Mining Techniques Thesis

Ahmed Bedaso; Chala Diriba; Elsabet Wedajo (2021-06)

The purpose of this study is to develop a knowledge-based system for blood donation and transfusion using data mining techniques that support physicians and technicians. To overcome the problems, the researcher used ...

Designing a model for improvement of network efficiency in mobile crowd-sensing Thesis

Adugna Asrat; Ahmedin M.; Kebebew Abebu (2017-07)

Mobile crowd sensing is human centric computing technology with sensing and computing devices in the mobile users. The tendency to the recent technology, the smartphone user rapidly increases from day to day. This ...

Enhanced energy efficient routing protocol for MANET by modifying route discovery and selection process of existing MAODV Thesis

Marishet Ketema; Dawit Kifle; Gemechu Birhanu (2019-12)

Mobile ad hoc network is a collection of the wireless mobile hosts without fixed infrastructure and centralized administration. Communication in MANET is done via multi-hop paths and it is mainly constrained with bandwidth, ...

A Hybrid Adaptive Model for District Based Proactive-Geographic Steering Convention in MANET Thesis

Muleta Taye (2017-07-03)

From the time of its inception, wireless networks progressively being followed to enable mobility in mobile networks. In last few decades, a lot of Ad hoc network routing protocol were developed, specifically for Mobile ...

Enhancing the Performance of DSR through Optimal Size of the Cache for MANET Thesis

Kedist Meshesha; Dawit Kifle; Worku Birhanie (2019-12)

Now a days wireless network is an essential technology for communication between two or more mobile nodes, such type of infrastructure-less wireless network is mobile ad-hoc network (MANET). Network topology of MANET is ...

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