Browsing thesis by Issue Date

AUTOMATIC TRANSLATION OF AMHARIC TEXT TO ETHIOPIAN SIGN LANGUAGE

MASRESHA, TADESSE ERENSO (2010-08)

Sign language is a visual-gestural language mainly used by hearing-impaired people to communicate with each other. As in oral language, sign language is not universal; it varies according to the country, or even according ...

NEWS RECOMMENDATION SYSTEM FOR NEW USER USING HYBRID APPROACH WITH DEMOGRAPHIC DATA

BAMLAKU, ALEHEGN (2015-06)

Recommender systems are fundamental solutions to information overload on the web due to the availability of multitude information sources. This system filters and presents relevant information to customer and/ or online ...

Designing Ethiopian banknote classification and counterfeit verification system: an optimal feature extraction and classification techniques

Alene, Asfaw (2019-10-03)

Forgery is one of the critical problems affecting cash transactions. Forged banknotes are becoming serious threats hampering the smooth transactions in Ethiopia. Hence, the availability of such fake notes in the market ...

SPEECH ACT AND INTENT CLASSIFICATION USING A CONVOLUTIONAL NEURAL NETWORK

MULAT, ATLAW (2020)

The spoken language understanding is an emerging field between speech processing and language understanding from the human spoken utterance. It can apply in different sectors for representing the meaning of a human spoken ...

Model Development for Dam Safety Monitoring using Wireless Sensor Network

Wudu, Derese (2020)

Sensor based modeling pertinent to automate dam safety and end control system. Many dams’ uses for irrigation, hydroelectric power, and other purposes for human beings these are needed to be efficient and effective for ...

Real-time drinking water quality detection and classification using wireless sensor network and K-nearest neighbor algorithm

Kindie, Abebe (2020)

Water is the most vital resource for living things, especially for human beings. In order to be healthy, everyone must have taken good-quality water in his/her entire life. However, checking the quality of drinking water ...

AMHARIC TEXT HATE SPEECH DETECTION IN SOCIAL MEDIA USING DEEP LEARNING APPROACH

BAWOKE, EMUYE (2020)

The connectivity and accessibility of social media platforms in the world allow people to express their ideas and share experiences easily. However, the anonymity and flexibility afforded by the Internet have made it ...

DEVELOPING AN AUTOMATIC ETHIOPIAN TEFF IDENTIFICATION SYSTEM USING MACHINE LEARNING APPROACH

AKLILU, ERMYAS (2020)

Teff, its scientific name Eragrostis Teff is a tiny, round grain that is used to make injera. Possibly Teff is the smallest cereal grain with an average length of ~1mm. East and West Gojjam in Amhara and East and West Shoa ...

DESIGNING A FRAMEWORK FOR VERSATILE LOCAL AUDIO SIGNAL DISTRIBUTION(VLASD)

BALEW, GETIE (2020)

Despite advances in audio technologies, people are highly concerned with an effect of audio sound disturbance and privacy issues related to an audio access. Coming up with a new technical direction to eliminate audio signal ...

DESIGNING GEEZ NEXT WORD PREDICTION MODEL USING STATISTICAL APPROACH

MANAYE, WONDIFRAW (2020)

we spend an increasing amount of time on their mobile and accessibility electronic devices. we insert data into the electronic device using input device and processing program. But, character by character inputting is time ...

DEVELOPING AN ADVISORY EXPERT SYSTEM FOR SOIL TRANSMITTED HELMINTHS INFECTIOUS DISEASES USING RULE BASED TECHNIQUE

MATEBIE, HAYMANOT (2020)

Health care is one of the crucial components of basic social services that have a direct linkage to the growth and development of a country as well as to the welfare of the society. Ethiopian government has implemented ...

DEEP NEURAL NETWORD BASED NATURAL LANGUAGE INFERENCE MODEL

BEKELE, TESFAYE (2020)

Addressing natural language understanding (NLU) problem is basically enabling the computer to replace human being in tasks that need semantical understanding. Natural language inference (NLI) can be used in paired document ...

Designing Noise-Resistant Ethiopian Spoken Languages Identification Model Using Machine Learning Approach

Demil, Getye (2020)

Spoken language identification is the process of deciding which language a speaker is speaking. Spoken language identification is used as a front-end processing in human-computer interaction, speech to text translation, ...

DEEP LEARNING BASED AMHARIC GRAMMAR ERROR DETECTION

DESSALEGNE, YARED (2020)

Nowadays, natural language processing became a hot research area, that is mainly focused on maximizing the capability of the computer to understand and communicate with human language or natural language. Therefore, to ...

CLASSIFICATION OF HABESHA KEMIS USING EMBROIDERY DESIGN: A HYBRID FEATURE EXTRACTION APPROACH

MEKURIAW, KEBADU (2020)

Our country Ethiopia has many cultures, from this Habesha Kemis is one of the clothing cultures that the women wear in most places and it is common in Amhara regional state. This Habesha Kemis seems the same but it has ...

Designing and Implementing Adaptive Bot Model to Consult Ethiopian Published Laws Using Ensemble Architecture with Rules Integrated

Asimare, Habitamu (2020)

Conversational agents implemented for advising, question asking, in general for knowledge generation purposes play relevant role in terms of accessibility, reliability, and gives cost efficient auto services. Conversational ...

SEMANTIC RELATION CLASSIFICATION BETWEEN AMHARIC ENTITIES USING DEEP LEARNING APPROACH

NURRIE, TESFAHUN (2020)

Semantic relation classification is the task of identifying or recognizing the relation between entities. It is mainly used to understand and analyses the meaning of the sentence. Semantic relation classification helps to ...

AMHARIC LANGUAGE VISUAL SPEECH RECOGNITION USING COMPUTER VISION AND MACHINE LEARNING APPROACH

TAMRIE, ZELALEM (2020)

Lip motion reading is a process of knowing the words spoken from a video with or without an audio signal by observing the motion of the lips of the speaker. It has a great role when the environment is noisy and listener ...

Argument Mining From Amharic Argumentative Texts Using Machine Learning

Lake, Mikru (2020-01)

Argumentation is the processes of producing and evaluating arguments based on context of a discussion, dialogue or conversation. In information-overloaded world, manually extracting argument relation is time-consuming, ...

Amharic Multi Document Summation by Using Latent Semantic Analysis

Tilaye, Tizalegn (2020-01)

Text summarization is one of the application of natural language processing and is hatting to be prevalent for data condensation. A developing number of Amharic service providers are publishing their content online. To ...

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